SkillBridge

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Product Details

Name

SkillBridge

Tagline

Bridging Skills, Building Futures

Career Connector

Name: Career Connector
Description: Career Connectors are proactive facilitators who work to bridge the gap between education and the workforce. They are typically found in institutions and companies and are driven by a strong desire to optimize training and development strategies. Their daily routine involves collaborating with educators, analyzing skill data, and implementing tailored training programs. They utilize SkillBridge to seamlessly integrate industry insights into educational frameworks and enhance career readiness for students or employees.
Demographics: Age: 30-50, Gender: Any, Education: Bachelor's degree or higher, Occupation: HR Manager, Training Coordinator, or Educational Consultant, Income Level: $60,000 - $100,000 annually.
Background: Career Connectors often have backgrounds in education, HR, or training and development. Many have worked in various roles within educational institutions or corporate settings. They enjoy mentoring individuals and are passionate about continuous learning. Hobbies may include attending industry conferences, participating in leadership workshops, and engaging in community improvement initiatives. They often advocate for stronger ties between education and employment sectors.
Psychographics: Career Connectors value collaboration, innovation, and practical skills. They believe in lifelong learning and the need to adapt educational content to meet current job market demands. Motivated by the success stories of individuals they help train, they prioritize outcomes over processes. Additionally, they seek tools that simplify their workload and enhance efficiency in skill development efforts. They are tech-savvy and enthusiastic about leveraging data analytics to drive decisions.
Needs: Career Connectors need real-time insight into job market trends and skill gaps. They seek efficient communication channels with educators and industry leaders. A streamlined process for updating training materials based on industry feedback and effective data reporting tools is essential. Additionally, they value resources that enable them to create engaging and relevant programs for learners.
Pain: Key pain points include insufficient alignment between educational offerings and industry needs, difficulty in tracking skill development progress, and lack of streamlined communication between various stakeholders. Frustration often arises from outdated training materials and the challenge of keeping pace with rapid changes in job market requirements.
Channels: Career Connectors primarily engage through professional social networks like LinkedIn, educational conferences, industry webinars, and newsletters. They often rely on email communications, collaboration platforms, and forums that focus on education and workforce development. They also engage in community events and local workshops.
Usage: Career Connectors interact with SkillBridge on a daily basis, primarily using it during work hours. They engage with the platform to create and modify training plans, analyze skill assessments, and communicate with educational partners. Their involvement may intensify during peak planning seasons, such as the beginning of a new semester or annual performance review time, where data analytics play a crucial role.
Decision: Decision-making processes for Career Connectors are heavily influenced by industry trends, input from corporate partners, and student employment outcomes. They prioritize evidence-based practices and often rely on qualitative feedback from learners and their supervisors. Furthermore, they assess platforms based on ease of use, integration capabilities with existing tools, and the depth of analytics offered.

Skill-Seeker Student

Name: Skill-Seeker Student
Description: Skill-Seeker Students are ambitious learners navigating their educational paths diligently to acquire relevant skills for their careers. They actively engage with resources that help them tailor their education to align with job prospects and seek platforms like SkillBridge for personalized learning experiences. Their daily life comprises attending classes, participating in workshops, and exploring extracurricular opportunities that can bolster their employability.
Demographics: Age: 18-25, Gender: Any, Education: Currently enrolled in college or vocational training, Occupation: Student, Income Level: Low to moderate, usually dependent on grants, scholarships, or part-time jobs.
Background: Skill-Seeker Students often come from diverse backgrounds, with varying levels of socio-economic status. Many have part-time jobs to support their studies and may be involved in student organizations. They are generally technology-savvy and enjoy exploring various educational tools and platforms. Their interests may include networking, attending career fairs, and working on projects that enhance their skill sets.
Psychographics: Skill-Seeker Students value practical, hands-on learning experiences that lead to job readiness. They believe that education should directly link to career outcomes and prioritize gaining certifications and skills recognized within their desired industries. Motivated by career aspirations, they actively seek mentorship and opportunities for internships. Their lifestyle is tech-focused, and they often consume content through blogs, podcasts, and social media.
Needs: This persona needs personalized guidance on which skills to focus on for their target careers. They seek clarity on job market expectations and require platforms that provide real-time feedback on their progress. Easy access to resources for skill-building, mentorship, and career opportunities is crucial. Additionally, they appreciate interactive tools that make learning engaging and informative.
Pain: Skill-Seeker Students experience anxiety over choosing the right career path, feeling overwhelmed by the vast range of skills required. They often encounter hurdles in accessing relevant training materials or face delays in finding suitable internship opportunities. Some struggle to connect with mentors or professionals who can provide guidance in their chosen fields.
Channels: Skill-Seeker Students primarily engage through digital channels, including social media platforms, educational apps, and online forums. They often seek information through Instagram, TikTok, and LinkedIn, enjoying video content and interactive experiences. Additionally, they value communication through emails and direct messaging for feedback and guidance.
Usage: Skill-Seeker Students typically engage with SkillBridge multiple times a week, especially during periods of course load and project preparation. They utilize the platform to explore personalized learning paths, assess their skills, and connect with industry professionals. Usage peaks when deadlines for projects or job applications approach.
Decision: When making decisions, Skill-Seeker Students are influenced by peer recommendations, reviews on social platforms, and faculty advice. They prioritize platforms that offer clear pathways to skill acquisition and frequently consult online resources for feedback on the effectiveness and relevance of different courses.

Corporate Success Leader

Name: Corporate Success Leader
Description: Corporate Success Leaders are high-level executives or managers focused on driving workforce performance and aligning training initiatives with overarching business goals. They utilize SkillBridge to gain insights into employee development and ensure their teams are equipped with the latest market-relevant skills. Their role typically involves strategic planning, analyzing skill gap data, and collaborating with training teams.
Demographics: Age: 35-55, Gender: Any, Education: Master’s degree or higher, Occupation: VP of Human Resources, Director of Talent Development, or Chief Learning Officer, Income Level: $100,000 - $200,000 annually.
Background: Corporate Success Leaders often rise through the ranks in HR or management roles, accumulating extensive experience in employee training and organizational development. They have a strong background in leadership and performance management. Outside of work, they may enjoy mentoring, attending business seminars, reading industry publications, and participating in leadership networks. They are passionate about cultivating a growth-oriented company culture.
Psychographics: Corporate Success Leaders value strategic insights, organizational effectiveness, and cultivating a high-performing workforce. They are motivated by achieving business objectives through team success and prioritize the professional growth and satisfaction of employees. With an analytical mindset, they enjoy utilizing data to drive decisions and embrace new technologies that enhance learning and development initiatives.
Needs: These leaders require robust analytics tools that highlight skill gaps and workforce readiness. They need effective communication channels to collaborate with training teams and align corporate strategies with employee development. Access to innovative training programs that promote engagement and adaptability is also critical, ensuring that employees can thrive in a changing environment.
Pain: Key pain points include resistance to change within the organization, difficulty in measuring the effectiveness of training programs, and the challenge of aligning diverse employee needs with corporate goals. They also face frustrations in accessing relevant data that can help forecast future workforce skills requirements.
Channels: Corporate Success Leaders primarily engage via professional networks such as LinkedIn, industry conferences, and executive training seminars. They also rely on analytics and insights shared through internal communication tools and management meetings.
Usage: Corporate Success Leaders use SkillBridge regularly, primarily during strategic planning sessions or talent reviews, to analyze workforce skills and development needs. Their interactions often focus on reviewing training program effectiveness and pivoting strategies based on data insights. Their usage can be intense in quarterly reviews or during new initiative rollouts.
Decision: Decision-making for Corporate Success Leaders is influenced by organizational goals, employee feedback, and emerging industry trends. They rely on data-driven insights, internal recommendations, and performance metrics to guide their choices when selecting training programs or platforms.

Adaptive Instructor

Name: Adaptive Instructor
Description: Adaptive Instructors are educators committed to meeting the diverse needs of their students by enhancing curriculum delivery through innovative methodologies. They rely on SkillBridge to integrate real-time industry insights into their teaching and create relevant and engaging learning experiences. Their daily routine involves planning lessons, collaborating with peers, and assessing student progress based on skill development.
Demographics: Age: 25-45, Gender: Any, Education: Bachelor's or Master’s degree in Education or a related field, Occupation: Teacher, Professor, or Educational Coordinator, Income Level: $50,000 - $80,000 annually.
Background: Adaptive Instructors often have backgrounds in pedagogy or specific subject matter, with years of teaching experience varying from elementary to higher education. They are enthusiastic learners, eager to adopt new educational technologies and methodologies. Many participate in professional development workshops, actively seek resources to refine their teaching practices, and enjoy engaging with the educational community through social media and local events.
Psychographics: Adaptive Instructors value flexibility, creativity, and student-centered learning. They believe every student learns differently and are motivated to find ways to personalize education. Their passion for teaching shines through in their commitment to continuous improvement and collaboration with industry partners to keep their curriculum relevant and engaging.
Needs: The primary needs of Adaptive Instructors include accessible resources for up-to-date industry insights, customizable teaching materials, and assessment tools that reflect student progress. They require platforms that facilitate communication with industry professionals and support collaboration on curriculum development.
Pain: Key pain points include limited access to current industry data, challenges in adapting teaching materials to meet evolving job market demands, and difficulties in tracking diverse student performance metrics. They often feel overwhelmed by administrative duties that detract from their teaching time.
Channels: Adaptive Instructors primarily utilize educational platforms, social media groups, professional networks, and webinars to seek inspiration and share resources. They often communicate through emails, learning management systems, and collaboration tools designed for educators.
Usage: Adaptive Instructors engage with SkillBridge on a weekly basis, primarily during lesson planning and curriculum development. They often explore new tools and resources to enhance their teaching methods and engage students effectively. Usage increases during course revisions or new module implementations.
Decision: When making decisions, Adaptive Instructors are influenced by contemporary teaching trends, student feedback, and peer recommendations. They prioritize platforms that offer user-friendly features and deliver compelling content that can be easily integrated into the classroom.

Innovation Catalyst

Name: Innovation Catalyst
Description: Innovation Catalysts focus on educational transformation by advocating for progress and modern practices that prepare learners for future challenges. They work with multiple stakeholders to implement initiatives that enhance the educational framework and align with industry needs. Utilizing SkillBridge, they drive initiatives to promote competency-based learning and real-time feedback mechanisms.
Demographics: Age: 30-50, Gender: Any, Education: Advanced degree in Education or Innovation Management, Occupation: Educational Consultant, Innovation Leader, or Curriculum Developer, Income Level: $70,000 - $120,000 annually.
Background: Innovation Catalysts typically have extensive experience in the education sector, often transitioning from teaching roles to administration or consultancy. They are driven by a vision of future-focused education and have a deep understanding of the needs of both educators and students. Many enjoy networking, collaborating on educational reform projects, and conducting research on innovative practices that enhance student engagement and learning outcomes.
Psychographics: Innovation Catalysts prioritize creativity, collaboration, and impact. They are motivated by the desire to make a significant change in educational systems and promote workforce readiness among students. Their values are rooted in equity, accessibility, and the importance of lifelong learning, creating environments where learners thrive.
Needs: Innovation Catalysts need clear insights into skill development trends, access to tools that facilitate stakeholder collaboration, and frameworks for evaluating the effectiveness of educational initiatives. They look for flexible solutions that enable experimentation in teaching methodologies and provide data for informed decision-making.
Pain: Their pain points often involve navigating bureaucracy within educational institutions, resistance from traditional educators, and difficulties in measuring the impact of innovative programs. They may also face challenges in securing funding or resources to implement their ideas effectively.
Channels: Innovation Catalysts utilize professional networks, thought leadership platforms, conferences, and academic journals for inspiration and collaboration. They engage actively on social media to share insights, trends, and innovations in education.
Usage: They engage with SkillBridge regularly, especially during the planning phases of new initiatives or educational reform projects. Their usage may peak when implementing new programs or crafting proposals for funding.
Decision: In making decisions, Innovation Catalysts are influenced by research findings, the latest educational trends, and the needs expressed by the learner and educator community. They seek evidence-based solutions that provide measurable outcomes and sustainability in educational practices.

Product Ideas

Edu-Job Marketplace: An integrated platform that connects students with industry partners, allowing them to access internships, job openings, and mentorship opportunities directly within SkillBridge. This marketplace enhances the practical learning experience for students while facilitating talent acquisition for companies.
Skill Validation Badge System: A digital badge system that allows students to earn and showcase verified skill accomplishments through SkillBridge. These badges can be shared on resumes and social media, enhancing students' employability and providing employers with a visual indicator of a candidate's skills.
AI-Powered Personalized Assessments: A feature that leverages AI to create tailored assessments based on individual learning paths and goals. These assessments adapt in real-time, allowing learners to gauge skill acquisition effectively and determine areas for improvement, ensuring a customized education experience.
Corporate Training Marketplace: A section of SkillBridge that enables corporate trainers to design, publish, and sell course content focused on industry-relevant skills. This fosters collaboration between educational institutions and industry experts, ensuring a steady flow of high-quality training resources.
Collaborative Learning Workshops: Real-time virtual workshops powered by SkillBridge, bringing together students, corporate trainers, and industry partners. These workshops focus on trending skills and foster direct interaction, enhancing practical knowledge and providing networking opportunities for students.
Real-Time Skill Gap Dashboard: A dynamic dashboard showcasing real-time data on skill gaps across different industries. Corporate trainers and educational institutions can use this tool to adjust training programs proactively, ensuring alignment with industry needs and emerging trends.

Product Features

Internship Navigator

This feature allows students to filter and search for internship opportunities based on their skills, interests, and career goals. By offering personalized recommendations, Internship Navigator increases the likelihood of students finding relevant positions that enhance their practical learning experiences, thereby making their transition from education to the workforce smoother than ever.

Requirements

Skill-Based Internship Filtering

User Story: As a student, I want to filter internship opportunities by my skills and interests so that I can find relevant positions that align with my career goals and maximize my learning experience.
Description: The Skill-Based Internship Filtering requirement focuses on enabling students to filter and search for internship opportunities based on their specific skills, interests, and career goals. This feature aims to enhance the usability of the Internship Navigator by allowing students to input their skills and receive personalized internship matches. By aligning internship listings with student profiles, this requirement supports users in discovering relevant opportunities, thereby boosting their practical learning experiences. It should integrate seamlessly with the existing skill-gap analysis functionality to recommend internships based on identified skill deficiencies. The expected outcome is an intuitive and effective navigation tool that empowers students to transition smoothly into professional roles, ultimately contributing to a better-prepared workforce.
Acceptance Criteria: Students searching for relevant internships based on their skills and interests.

Given I am a student using the Internship Navigator, when I enter my skills and interests, then I should receive a list of personalized internship recommendations that match my profile.

Integration of skill-gap analysis with internship recommendations.

Given the skill-gap analysis identifies my skill deficiencies, when I view my internship recommendations, then the suggested internships should include opportunities that help me address these deficiencies.

User interface allowing skill and interest input for effective internship matching.

Given I access the skill input section of the Internship Navigator, when I select or input my skills and interests, then the interface must allow easy selection and provide suggestions based on typed keywords.

Ensuring relevant internship listings display accurate information based on student profiles.

Given I receive internship recommendations, when I click on any listing, then the detail page must contain accurate information about the internship, including job description, required skills, and application deadlines.

Feedback mechanism for students to rate internship recommendations.

Given I have received internship recommendations, when I review these listings, then I should be able to provide feedback or rate the relevance of each listing, which can influence future suggestions.

Performance criteria ensuring the Internship Navigator operates smoothly with high availability.

Given that many students are using the Internship Navigator simultaneously, when they search for internships, then the system should provide results within two seconds without downtime or errors.

Personalized Internship Recommendations

User Story: As a student, I want to receive personalized internship recommendations based on my profile so that I can quickly find opportunities that match my skills and career ambitions.
Description: This requirement involves developing an algorithm that provides personalized internship recommendations to students based on their profiles, including skills, experiences, and career aspirations. The Personalized Internship Recommendations functionality will utilize machine learning techniques to analyze student data and match it with available internship opportunities. It aims to enhance student engagement by presenting them with curated listings that are likely to interest them, reducing the time spent searching for internships. This feature should also provide insights into why certain internships are recommended, fostering a deeper understanding for the students. The implementation of this requirement is essential for making the Internship Navigator more effective and user-friendly, ultimately leading to higher placement rates for students.
Acceptance Criteria: Student receives a personalized list of internship recommendations after completing their profile including skills, experiences, and career aspirations.

Given a student has completed their profile with skills, experiences, and career aspirations, when they access the Internship Navigator, then they should see a list of personalized internship recommendations based on their input.

Student clicks on an internship opportunity from the personalized recommendations and sees additional details about the recommendation.

Given a student has access to personalized internship recommendations, when they click on an internship opportunity, then they should see detailed information about the internship, including why it was recommended for them based on their profile.

Algorithm matches student profiles to internship opportunities and provides relevant insights about the matching process.

Given the algorithm has analyzed student profiles and available internships, when a student views their recommendations, then they should receive insights about how each internship aligns with their skills and career goals.

Student updates their profile information, and the algorithm recalibrates to reflect new internship recommendations accordingly.

Given a student updates any information in their profile, when they refresh the Internship Navigator, then the recommendations displayed should be updated to reflect the new profile information.

Students are able to give feedback on the relevance of the internship recommendations they receive.

Given a student has received personalized internship recommendations, when they provide feedback on the relevance of these recommendations, then the system should record this feedback to improve future internship matching.

System logs and tracks student engagement with recommended internships over time.

Given a student has accessed the Internship Navigator, when they interact with the recommendations, then the system should log their clicks, views, and applications for each recommended internship.

Real-Time Internship Availability Updates

User Story: As a student, I want to be notified instantly about new internship opportunities so that I can apply quickly and enhance my chances of securing a position.
Description: The Real-Time Internship Availability Updates requirement ensures that students receive immediate notifications regarding the availability of new internship opportunities that match their criteria. This feature will leverage push notifications to alert users about relevant internships as soon as they are posted, allowing students to act swiftly and increase their chances of securing a position. The requirement also includes a display of historical data regarding the popularity of specific internships, giving students an overview of demand trends. This implementation is crucial to maintaining user engagement and ensuring that students have access to the most current information, ultimately improving their chances of successful placement.
Acceptance Criteria: User receives a push notification when a new internship that matches their criteria is posted.

Given that the user has set up their profile with specific skills and interests, when an internship is posted that matches these criteria, then the user should receive a push notification within 5 minutes of the posting.

User can view the historical data regarding the demand for specific internships.

Given that the user accesses the Internship Navigator feature, when they select a specific internship, then they should be able to view a graph displaying the historical demand data for that internship over the past 6 months.

User can filter internship opportunities based on skills and interests.

Given that the user is on the Internship Navigator page, when they apply filters based on their skills and interests, then the system should display only those internships that match the specified criteria.

User can receive real-time updates on internship availability changes.

Given that the user is subscribed to receive updates for specific internships, when the status of one of these internships changes (e.g., from available to filled), then the user should receive a notification within 10 minutes of the change occurring.

User's profile successfully reflects changes made to criteria for internship search.

Given that the user updates their profile to include new skills and interests, when they search for internships afterward, then the results should reflect the changes made to their profile immediately.

User can manage their notification preferences for internship updates.

Given that the user is in the notification settings section, when they toggle their preferences on or off for receiving internship notifications, then their choices should be saved and applied without delay for future notifications.

User can access the internship details from the push notification.

Given that the user receives a push notification about a new internship, when they click on the notification, then they should be redirected to the Internship Navigator feature showing the details of that internship.

User Reviews and Ratings for Internships

User Story: As a student, I want to read reviews and ratings from other students about internships so that I can make informed decisions before applying.
Description: The User Reviews and Ratings for Internships requirement aims to implement a feedback mechanism that allows students to review and rate their internship experiences. This feature will enable current students to provide insights into the internships they have pursued, offering valuable feedback for future students. The reviews will encompass various aspects of the internship experience, such as learning opportunities, company culture, and mentorship quality. By incorporating this functionality, the Internship Navigator enhances its community aspect, empowering students to make informed decisions based on peer reviews. This requirement is vital for fostering a collaborative environment where students can share experiences, ultimately leading to a more informed and engaged user base.
Acceptance Criteria: Students can access the User Reviews and Ratings feature from the Internship Navigator dashboard.

Given a student is logged into SkillBridge, when they navigate to the Internship Navigator, then they should see the User Reviews and Ratings section available for each internship listing.

Students can submit their reviews and ratings for internships they have completed.

Given a student has completed an internship, when they select 'Add Review' on the respective internship, then they should be able to input a rating from 1 to 5 and provide written feedback, which is then saved upon submission.

Students can filter internship opportunities based on the ratings they receive from peers.

Given that reviews are available for internships, when a student filters internships, they should have an option to sort based on average user ratings, displaying the highest-rated internships first.

Future students can view a summary of reviews for each internship listed in the Internship Navigator.

Given multiple student reviews for an internship, when a future student views the internship details, then they should see an average rating and a summary of key feedback points derived from the reviews.

System handles inappropriate or fraudulent reviews.

Given a review is flagged for inappropriate content, when the review is reviewed by an administrator, then the review must either be approved and remain visible or be removed from the platform based on the findings.

Students receive notifications for new reviews posted on internships they are interested in.

Given a student has saved internships for later viewing, when a new review is posted, then the student should receive a notification alerting them about the new review for that specific internship.

Analytics can track the engagement and usefulness of reviews and ratings.

Given the User Reviews and Ratings feature is in use, when the analytics dashboard is accessed by administrators, then it should show metrics such as the number of reviews submitted, average ratings per internship, and engagement rates from students interacting with reviews.

Comprehensive Internship Application Tracker

User Story: As a student, I want to track my internship applications in one place so that I can stay organized and follow up efficiently with potential employers.
Description: The Comprehensive Internship Application Tracker requirement focuses on developing a centralized dashboard where students can track their internship applications. This functionality will enable users to see the status of each application (e.g., submitted, under review, accepted, rejected) and set reminders for follow-ups. It also serves as a repository for all internship postings that a student has shown interest in or applied to, allowing for easy management of applications. The implementation of this requirement is crucial for helping students stay organized and proactive in their internship search, ultimately increasing placement success rates. This feature should integrate with the personalized recommendations and notifications to streamline the process further.
Acceptance Criteria: User accesses the Comprehensive Internship Application Tracker to view all submitted internship applications.

Given a user is logged into SkillBridge and has accessed the Comprehensive Internship Application Tracker, When the user views the dashboard, Then the tracker displays a list of all submitted applications along with their respective statuses (submitted, under review, accepted, rejected).

User sets a follow-up reminder for an internship application.

Given a user is viewing the details of a specific internship application on the tracker, When the user sets a follow-up reminder for that application, Then the system should confirm the reminder is saved and notify the user of the upcoming follow-up date.

User filters internship applications based on status.

Given a user is on the Comprehensive Internship Application Tracker dashboard, When the user selects a specific application status filter (e.g., 'under review'), Then only those applications with the selected status should be displayed.

User accesses a repository of all interested internship postings.

Given a user is on the Comprehensive Internship Application Tracker, When the user clicks on 'View Interested Postings', Then the system should display a list of all internship postings the user has shown interest in or applied to.

System displays analytics on the user's application status to assist in tracking progress.

Given a user is on the Comprehensive Internship Application Tracker, When the user views the dashboard, Then the system should provide visual analytics (such as charts or graphs) depicting the distribution of application statuses (e.g., percentage of applications accepted, rejected, under review).

User receives notifications about changes in the status of their internship applications.

Given a user has submitted internship applications, When a status change occurs for any of those applications, Then the user should receive a real-time notification alerting them of the update.

Guided Interview Preparation Resources

User Story: As a student, I want to access resources for interview preparation tailored to my internship applications so that I can feel confident and ready during interviews.
Description: The Guided Interview Preparation Resources requirement will provide students with tailored resources and tools to prepare for interviews related to their internship applications. This feature will offer guidance on common interview questions, tips for presenting skills and experiences, and practice interview sessions with AI-driven feedback. By aligning resources with the specific internships the user is applying for, this requirement enhances user confidence and readiness for the interview process. The implementation of this feature is essential in equipping students to present themselves effectively, which directly impacts their success in securing internship positions. The expected outcome is a well-prepared applicant who is ready to engage with potential employers.
Acceptance Criteria: Student accesses the Guided Interview Preparation Resources feature from the Internship Navigator after selecting an internship opportunity.

Given the student is logged into the SkillBridge platform, when the student navigates to the Guided Interview Preparation Resources, then they should see a list of customized interview resources relevant to the selected internship.

A student uses the AI-driven practice interview tool for feedback on their responses to common interview questions.

Given the student initiates a practice interview session, when they answer the questions provided by the AI tool, then they should receive feedback on their performance and suggestions for improvement after each question.

A student reviews the tips for presenting skills and experiences tailored to their targeted internship role.

Given the student selects an internship role, when they access the tips section of the Guided Interview Preparation Resources, then they should find content specifically addressing the skills needed for that role.

Students rate their confidence level before and after utilizing the Guided Interview Preparation Resources.

Given the student completes their usage of the Guided Interview Preparation Resources, when they are prompted to rate their confidence level before and after, then the platform should show a measurable increase in confidence based on these two ratings.

A student accesses a list of common interview questions tailored for their chosen internship field.

Given the student has identified their career goal and selected an internship field, when they view the interview question list, then they should see questions that are frequently asked in that specific field.

A student receives reminders for upcoming practice interviews scheduled via the platform.

Given the student has booked a practice interview session, when the session approaches, then the student should receive an automated reminder notification via email or in-app alert.

Students are able to share resources with peers who are also preparing for interviews.

Given the student is using the Preparing Resources, when they choose to share a resource, then the platform should successfully send the selected resource to their chosen peer with a notification.

Mentorship Matchmaker

The Mentorship Matchmaker feature connects students with experienced industry professionals for personalized guidance. Through an intelligent matching algorithm, the platform pairs students with mentors based on their fields of study and career aspirations, fostering valuable relationships that enhance skill development and professional growth.

Requirements

Intelligent Mentor Matching

User Story: As a student seeking guidance, I want to be matched with a mentor who understands my career aspirations and study background so that I can receive tailored advice to enhance my professional growth.
Description: The Intelligent Mentor Matching requirement involves developing an algorithm that assesses student profiles, including their fields of study, career goals, and personal preferences, to intelligently match them with suitable industry mentors. This feature enhances SkillBridge by fostering meaningful mentorship relationships that cater to each student's unique needs. The matching process should utilize AI-driven analytics to ensure precision, reducing the time and effort students spend searching for the right mentor and increasing their ability to gain relevant insights and advice. Furthermore, the feature must integrate seamlessly with the existing user interface, allowing users to easily navigate through their matches and communicate with their mentors within the platform.
Acceptance Criteria: An undergraduate student, Jane, logs into the SkillBridge platform, inputs her major in Computer Science, her career goal in software development, and her preference for mentorship in Agile methodologies. Once she submits this information, the system processes her profile to find suitable mentors who match her criteria.

Given that Jane has provided her major, career goals, and preferences, When the algorithm executes, Then it should return a list of at least 3 mentors with relevant experience in software development and Agile methodologies.

After receiving her mentor matches, Jane reviews the profiles of potential mentors displayed on her dashboard. She finds two mentors that she believes would be great fits for her learning journey.

Given that the mentors are displayed on Jane's dashboard, When she views each mentor's profile, Then the profile must include their industry experience, areas of expertise, availability for meetings, and previous mentees' ratings.

Jane initiates a communication request with one of the matched mentors through the platform's messaging feature to discuss her professional development.

Given that Jane has selected a mentor and initiates a conversation, When the request is sent, Then both Jane and the mentor should receive a notification confirming the request and enabling chat functionality.

The SkillBridge platform needs to ensure that the matching algorithm works properly over time by collecting success stories from students who found great mentors through the system.

Given that mentees and mentors have interacted for at least one month, When the system prompts for feedback, Then at least 80% of mentees should report a positive impact on their skill development due to the mentorship.

Administrators want to assess the performance of the mentorship matching algorithm on a quarterly basis to ensure it is meeting student needs effectively.

Given that the algorithm has provided matches for at least 100 students, When the performance report is generated, Then it must include metrics such as match satisfaction ratings and the average time to connect with mentors, demonstrating at least a 75% match satisfaction rate.

Mentor Profile Creation

User Story: As a mentor, I want to create a detailed profile highlighting my expertise so that students can find me relevant to their career development needs.
Description: The Mentor Profile Creation requirement involves designing a system for mentors to create and manage their profiles on the SkillBridge platform. This feature allows mentors to showcase their expertise, industry experience, and availability, providing students with comprehensive information to aid their decisions. The profile should include options for mentors to list their skills, provide a biography, share their professional journey, and specify the types of guidance they can offer. This functionality enriches the mentoring experience by ensuring students have access to detailed mentor information, which is critical for effective matching and relationship building. Additionally, it must be user-friendly and incorporate an approval process to ensure quality and credibility of mentor profiles.
Acceptance Criteria: Mentor profile creation by an experienced industry professional.

Given a mentor has registered on the SkillBridge platform,When they navigate to the profile creation section,Then they should be able to fill in their expertise, industry experience, biography, skills list, and guidance types without errors.

Mentor profile approval process for quality assurance.

Given a mentor has submitted their profile for approval,When an admin reviews the profile details,Then the admin should be able to approve or reject the profile based on predefined quality criteria and provide feedback to the mentor.

Visibility of completed mentor profiles to students.

Given a mentor has an approved profile,When a student searches for mentors in their field of study,Then the approved mentor profiles should be visible in the search results along with their skills and guidance types.

Editing existing mentor profiles for updates.

Given a mentor wants to update their profile information,When they access the edit profile section and make changes,Then the updates should be saved successfully and reflected in their profile.

User-friendly interface for mentor profile creation.

Given a mentor is on the profile creation page,When they interact with the forms,Then the interface should provide clear instructions, responsive layout, and appropriate error messages for validation failures.

Comprehensive skill listing in mentor profiles.

Given a mentor is filling out their profile,When they enter their skills in the skills section,Then the mentor should have the ability to add multiple skills and specify proficiency levels for each skill listed.

User feedback for rejected mentor profiles.

Given a mentor submits their profile but it is rejected,When the mentor checks their submission status,Then they should receive an explanation of the rejection and guidance on how to improve their profile for resubmission.

Feedback and Rating System

User Story: As a student, I want to rate my mentor after our session so that I can share my experience and help improve the mentoring program.
Description: The Feedback and Rating System requirement entails creating a mechanism for students and mentors to evaluate each other after mentorship sessions. This feature would allow users to provide feedback on their experiences through ratings and comments, contributing to a robust system of accountability and continuous improvement. The collected feedback should be visible on mentor profiles to assist future students in making informed decisions about which mentors to choose. This feature is crucial for maintaining high standards within the mentoring program and encouraging mentors to engage earnestly with students. Additionally, it must be integrated with data analytics tools to track overall satisfaction and engagement levels.
Acceptance Criteria: Student provides feedback after completing a mentorship session with a mentor, rating their experience and leaving comments on the quality of guidance received.

Given a student has completed a mentorship session, when they access the feedback form, then they should be able to rate the mentor on a scale of 1 to 5 stars and leave a text comment of at least 50 characters.

Mentor views their profile to check the feedback received from students, ensuring they can see ratings and comments left by students.

Given a mentor is logged into their profile, when they navigate to the feedback section, then they should see a list of all ratings and comments provided by students along with the average rating score.

Admin analyzes feedback data to track overall satisfaction and engagement levels of the mentorship program using integrated analytics tools.

Given the admin has access to the analytics dashboard, when they review the feedback data, then they should see visual graphs showing trends in satisfaction ratings over time and engagement metrics for students and mentors.

Student searches for mentors based on ratings, ensuring they can make informed decisions when choosing a mentor.

Given a student is on the mentor search page, when they filter mentors by ratings, then they should see a list of mentors displayed in descending order based on their average rating score.

Mentor receives a notification when a student submits feedback, keeping them informed about their mentorship effectiveness.

Given a mentor has engaged in a mentorship session, when a student submits feedback, then the mentor should receive a notification alerting them of the new feedback submission.

Both students and mentors can view the feedback left on their profiles, encouraging engagement within the mentorship program.

Given a user (either student or mentor) is viewing their profile, when they check the feedback section, then they should see all feedback (ratings and comments) left specifically by the counterpart (students for mentors and vice versa).

Real-Time Communication Tools

User Story: As a student, I want to communicate with my mentor in real-time so that we can have more effective and immediate discussions surrounding my development.
Description: The Real-Time Communication Tools requirement focuses on integrating chat and video conferencing functionalities within the Mentor Matchmaker feature. This will enable students and mentors to engage directly and effectively, fostering richer conversations and enhanced learning experiences. Featuring instant messaging and scheduling tools, this capability will also allow users to set up appointments or follow-up meetings without leaving the SkillBridge platform. This promotes convenience and ensures that communication remains dynamic, encouraging greater interaction between mentors and mentees. Such tools must be secure, user-friendly, and compatible across various devices to support diverse user needs.
Acceptance Criteria: Students and mentors use the chat feature to initiate discussions about career advice and skill development during scheduled mentorship sessions.

Given a logged-in user who is connected to a mentor, When the user clicks on the chat icon, Then the chat window should open, allowing real-time messaging without lag and providing a read receipt feature.

A student schedules a video call with their mentor through the SkillBridge platform to discuss specific career goals and receive feedback on their progress.

Given a logged-in user who has selected a mentor, When the user selects a time slot and confirms the appointment, Then a video conferencing link should be generated and sent to both the mentor and the mentee via email.

The platform validates the security features of the Real-Time Communication Tools used by students and mentors during their interactions.

Given the user is utilizing the chat or video conferencing features, When a security check is performed, Then all communications should be encrypted end-to-end with no unauthorized access detected.

During a mentorship interaction, students want to share documents or resources with their mentors using the integrated tools provided.

Given a user in an active chat or video session, When the user clicks on the 'Share Document' button, Then the user should be able to upload files up to 10 MB and have them accessible by the mentor in real-time.

Multiple students need to join a group mentoring session with an industry professional, requiring the platform to support this functionality seamlessly.

Given the mentor has initiated a group video call, When students receive the invitation link, Then they should be able to join the video session without technical issues, with a maximum capacity of 10 participants.

Users want to access the Real-Time Communication Tools on different devices, such as laptops, tablets, and smartphones, for flexibility in mentorship engagement.

Given a user accesses the SkillBridge platform from different devices, When they utilize either chat or video conferencing tools, Then the functionality should be consistent, maintaining chat history and previous interactions across all devices.

Mentorship Program Insights Dashboard

User Story: As a program manager, I want to access a dashboard that shows insights about the mentorship program’s performance so that I can evaluate its success and make informed decisions.
Description: The Mentorship Program Insights Dashboard requirement involves creating a comprehensive analytical tool that provides insights into the mentorship program’s effectiveness. This dashboard will display metrics such as the number of mentorship pairings, feedback scores, engagement levels, and trends over time. The insights gathered will be critical for stakeholders in evaluating the program's performance and identifying areas for improvement. Integration with existing analytics systems within SkillBridge is necessary to ensure cohesive data reporting. The dashboard should be interactive, allowing users to filter and drill down into specific data points for detailed analysis.
Acceptance Criteria: As a program administrator, I want to view the total number of mentorship pairings to assess the program's scale and participation rate.

Given I am logged in as an administrator, when I navigate to the Mentorship Program Insights Dashboard, then I can see the total number of mentorship pairings displayed prominently on the dashboard.

As a program stakeholder, I want to receive feedback scores from mentees to measure satisfaction levels with their mentors.

Given I am on the Mentorship Program Insights Dashboard, when I view the feedback section, then I can see the average feedback scores displayed for the most recent mentorship pairings.

As a program administrator, I want to analyze engagement levels over time to determine trends in mentorship participation.

Given I am viewing the Mentorship Program Insights Dashboard, when I select a time range for analysis, then I can see a trend graph that accurately reflects engagement levels for that timeframe.

As a stakeholder, I want to compare feedback scores against different mentoring topics to identify areas for improvement.

Given I am on the Mentorship Program Insights Dashboard, when I filter the feedback scores by mentoring topics, then I can see a comparative analysis displayed clearly for each topic's feedback scores.

As a user of the dashboard, I want to drill down into specific data points to get a more detailed view of engagement.

Given I am on the Mentorship Program Insights Dashboard, when I click on a specific metric, then I can view detailed analytics related to that metric including graphs and additional statistics.

As an institutional officer, I want to integrate the insights dashboard with our existing analytics systems.

Given I am an authorized user, when I attempt to integrate the dashboard with our analytics systems, then I can successfully view and extract data from both systems without errors.

As a mentor, I want to receive updates on mentee feedback to adjust my mentoring approach accordingly.

Given I am a registered mentor, when feedback is submitted by my mentee, then I receive a notification and am able to view the feedback in my personal dashboard.

Career Insights Hub

The Career Insights Hub delivers real-time data and analytics on industry trends, job market demands, and skill requirements. This feature empowers students by providing them with critical information to make informed career decisions and allowing educational institutions to adapt their curricula to better prepare learners for the future job landscape.

Requirements

Real-time Data Integration

User Story: As a student, I want to access real-time data about job market trends so that I can make informed decisions regarding my career path and skill development.
Description: The Real-time Data Integration requirement focuses on the seamless aggregation and processing of data from various industry sources, including job boards, corporate hiring platforms, and labor market reports. This feature ensures that the Career Insights Hub provides up-to-date and relevant information to users. This functionality is crucial as it enables timely and accurate insights into job market trends, empowering students and educational institutions to remain competitive. The integration must be designed to automatically fetch data at regular intervals, ensure data quality, and manage any discrepancies, thereby enhancing the overall user experience and decision-making process.
Acceptance Criteria: Data Fetching Frequency and Accuracy

Given the data integration system is operational, when the system fetches data from job boards and corporate hiring platforms every hour, then the data must reflect changes within a 15-minute delay for job postings and skill requirements.

Data Quality and Validation Process

Given the integration process has begun, when data is fetched from various sources, then the system must implement validation checks to ensure at least 95% of the data meets predefined quality criteria before being stored in the Career Insights Hub.

Error Handling and Data Discrepancies

Given that discrepancies in data from different sources are detected, when a mismatch occurs, then the system should log the error and trigger an alert to the data management team within 10 minutes of detection.

Historical Data Comparison and Analysis

Given that the Career Insights Hub has integrated real-time data, when users request historical job market trends, then the system should allow users to view data comparisons over the past 12 months with visual dashboards

User Access to Up-to-Date Insights

Given the Career Insights Hub is live, when a user accesses the platform, then they must see insights that are not older than 30 minutes from the last successful data fetch.

Integration with Educational Institution Dashboards

Given that the data integration is complete, when educational institutions access their dashboards, then they must see updated skills required by employers as generated from real-time data within the last hour.

Performance Metrics for Data Integration

Given the data integration feature is operational, when observed over a one-week period, then the system must maintain an uptime of 99.5% and should not experience more than three data fetch failures.

Skill Requirement Mapping

User Story: As an educational institution administrator, I want to visualize skill gaps between our curriculum and industry demands so that we can adjust our programs to better prepare students for the workforce.
Description: This requirement outlines the need for a comprehensive skill requirement mapping feature that aligns the skills demanded by employers with the educational programs offered by institutions. By implementing this functionality, the Career Insights Hub will provide users with a visual representation of skill gaps and emerging trends, allowing educational institutions to adjust their curricula accordingly. This capability is pivotal in ensuring that students are equipped with the skills that are currently in demand in the job market, thereby improving their employability and aligning educational outcomes with industry needs.
Acceptance Criteria: User accesses the Career Insights Hub to view skill requirement mappings for various industries during a career counseling session.

Given a user is logged into the Career Insights Hub, when they select an industry category, then they should see a visual representation of the skills required by employers in that industry along with current skill gaps and emerging trends.

An educational institution's administrator uses the Career Insights Hub to update their curriculum based on the latest skill requirement mappings.

Given the administrator views the skill requirement mappings, when they identify skills that need to be integrated into the curriculum, then they should be able to generate a report that aligns current courses with the required skills and suggested modifications.

Students explore the Career Insights Hub to analyze trends in job market demands and to identify crucial skills for their desired careers.

Given a student accesses the Career Insights Hub, when they search for a specific career path, then they should receive insights on the top skills required, current job availability, and a comparison of their existing skills against the required skills.

A corporate trainer checks the Career Insights Hub to ensure their training programs align with the latest industry skill requirements.

Given the corporate trainer logs into the Career Insights Hub, when they select their training program, then they should see an analysis that highlights any skill gaps compared to industry standards along with recommendations for course adjustments.

An educational institution uses the Career Insights Hub to conduct quarterly reviews of skill-gap analyses to inform strategic planning.

Given the institution accesses the quarterly review section of the Career Insights Hub, when they run a skill-gap analysis report, then they should be able to view trends over the last quarter with visual dashboards and downloadable CSV reports for in-depth analysis.

Administrators implement feedback from students regarding the usability of the Career Insights Hub in providing necessary career insights.

Given that students provide feedback on the Career Insights Hub after using it, when the administrators review the feedback, then they should be able to analyze the data for actionable insights and plan for updates based on trends in user satisfaction.

Interactive Analytics Dashboard

User Story: As a user, I want to interact with dynamic visualizations of job market data so that I can better understand trends and make informed choices about my career and education.
Description: The Interactive Analytics Dashboard requirement entails the development of a user-friendly interface that allows students and educators to explore job market data interactively. This dashboard should feature graphs, charts, and filters that enable users to dissect information based on various criteria, such as location, industry, and skill set. This functionality is essential as it transforms raw data into actionable insights and enhances the user experience by promoting engagement and deeper understanding of career trends. The dashboard must be designed for accessibility and responsiveness across devices, ensuring that users can access vital information whenever needed.
Acceptance Criteria: User Exploration of Job Market Data through the Dashboard

Given that a user is logged into the SkillBridge platform, when they navigate to the Interactive Analytics Dashboard, then they should be able to view various data visualizations such as bar graphs and pie charts that represent job market trends and skill demands.

Filter Options for Customized Data Views

Given that a user is on the Interactive Analytics Dashboard, when they apply filters based on location, industry, and skill set, then the displayed data visualizations should update in real-time to reflect the selected criteria.

Responsive Design Across Devices

Given that a user accesses the Interactive Analytics Dashboard from a mobile device, when they resize the browser window or rotate the device, then the dashboard layout should adjust dynamically to ensure optimal viewing and usability on the screen.

Accessibility Features for Diverse User Needs

Given that a user is on the Interactive Analytics Dashboard, when they utilize accessibility features such as screen readers or keyboard navigation, then all dashboard elements should be fully accessible and usable without mouse interaction.

Real-time Data Updates for Accuracy

Given that a user is actively using the Interactive Analytics Dashboard, when new job market data is available, then the dashboard should refresh and display the updated information with minimal delay to ensure real-time accuracy.

User Feedback Mechanism for Dashboard Improvement

Given that a user has interacted with the Interactive Analytics Dashboard, when they click on the feedback widget, then they should be able to submit suggestions or report issues about the dashboard’s functionality, which should be captured in the system for review.

Comprehensive Analytics Reporting Capabilities

Given that a user is utilizing the Interactive Analytics Dashboard, when they select the export option, then they should be able to download a detailed report of the visualized data in multiple formats such as CSV and PDF.

Personalized Career Recommendations

User Story: As a student, I want to receive personalized career recommendations based on my skills and the current job market so that I can pursue pathways that will maximize my employability.
Description: The Personalized Career Recommendations feature focuses on leveraging AI and machine learning to provide tailored career advice based on an individual's skills, preferences, and job market trends. By analyzing user data and behavior patterns, this requirement aims to suggest specific career paths and skills to pursue. Implementing this functionality is crucial as it empowers students to receive customized guidance, which can significantly enhance their educational experience and employability. The system must ensure that recommendations are regularly updated to reflect the latest market developments and personal skill advancements.
Acceptance Criteria: User logs into the SkillBridge platform and navigates to the Career Insights Hub to access personalized career recommendations.

Given the user has completed a skills assessment, when they access the Personalized Career Recommendations section, then they should receive a list of at least 3 tailored career paths based on their skills and preferences.

An educator at an institution uses the Career Insights Hub to evaluate and adapt curriculum based on industry trends and skill requirements.

Given the educator accesses the Career Insights Hub, when they view the recommended skill gaps for their curriculum, then they should be able to see data reflecting the top 5 in-demand skills for the next quarter.

A user revisits their personalized career recommendations after four weeks to check for updates and relevance.

Given the user accesses their personalized career recommendations, when the recommendations are generated, then the system should provide updated recommendations that reflect any new skills or jobs in line with the latest market developments.

A student uses the mobile app to receive personalized career recommendations on-the-go.

Given the student opens the SkillBridge mobile app, when they click on the Personalized Career Recommendations feature, then they should instantly receive recommendations that have been optimized for mobile viewing and interaction.

A user provides feedback on the accuracy of their personalized career recommendations after exploring the suggestions.

Given the user completes the feedback form regarding their personalized recommendations, when they submit their feedback, then the system should acknowledge the feedback receipt and update their profile to improve future recommendations.

An HR professional analyzes the effectiveness of the personalized career recommendations feature based on user engagement metrics.

Given the HR professional accesses the analytics dashboard, when they review the user engagement metrics for career recommendations, then they should see a report indicating at least a 20% increase in user engagement since the last quarter.

Curriculum Adjustment Alerts

User Story: As an educator, I want to receive alerts about changes in job market trends so that I can proactively update my courses to match industry demands.
Description: This requirement highlights the need for a notification system that alerts educational institutions regarding significant changes in job market demands and skills requirements. By keeping institutions informed, the Curriculum Adjustment Alerts feature ensures that programs can be adapted swiftly to remain relevant. This functionality is vital in maintaining the quality of educational offerings and ensuring that graduates are equipped with up-to-date skills. The alert system should allow customization based on the institution's programs and areas of focus, thereby providing targeted information that facilitates timely curriculum adjustments.
Acceptance Criteria: Notification System for Job Market Changes

Given an educational institution has subscribed to the Curriculum Adjustment Alerts, when there is a significant change in job market demands, then the institution shall receive an alert within 24 hours of the identified change, containing detailed information about the new skill requirements and market trends.

Customizable Alert Preferences

Given an educational institution has access to the Curriculum Adjustment Alerts feature, when they navigate to the settings page, then they should be able to customize their alert preferences based on specific programs and focus areas, ensuring they receive tailored notifications relevant to their curriculum.

Timeliness of Alerts

Given that an alert regarding job market changes has been triggered, when the institution receives the alert, then it should include a timestamp indicating when the alert was generated to ensure the institution can assess the timeliness of the information.

Feedback Mechanism for Alerts

Given that an educational institution has received alerts, when they provide feedback through the platform regarding the usefulness of the alert, then the system should capture and store this feedback for future improvements in the alerting mechanism.

Analytics Dashboard for Alert Trends

Given the Curriculum Adjustment Alerts feature is active, when an educational institution accesses the analytics dashboard, then they should be able to view trends over time regarding the frequency and types of alerts received, as well as corresponding changes made to the curriculum.

User Training for Institutions

Given that the Curriculum Adjustment Alerts feature has been launched, when educational institutions access the training module, then they should complete a tutorial that demonstrates how to effectively use the alert system and interpret the notifications they receive.

User Role Access Control for Alerts

Given that different roles exist within an educational institution, when an institution sets up user accounts, then they should assign role-based access to the Curriculum Adjustment Alerts, allowing only authorized personnel to view and act on the notifications.

Job Application Tracker

This feature provides students with a simple and effective way to track their job applications within the marketplace. With status updates and timelines, students can stay organized and proactive in their job search, ensuring they never miss an opportunity while also allowing educators to assess the effectiveness of their training programs.

Requirements

Application Status Updates

User Story: As a student, I want to receive status updates on my job applications so that I can track my progress and manage my job search effectively.
Description: This requirement facilitates automatic and manual updates of the job application status for students. It allows students to categorize their applications based on stages such as 'Applied', 'Interviewed', 'Offered', and 'Rejected', providing a clear visual timeline of their job search journey. By integrating these status updates into the existing platform, students will be able to maintain an organized view of their applications, ensuring they feel in control and informed throughout the process. Additionally, this data will be valuable for educators to understand student engagement and program effectiveness in real-time, allowing for necessary adjustments.
Acceptance Criteria: Students use the Job Application Tracker to update their job application status after submitting a job application through the marketplace.

Given a student has submitted a job application, when they access the Job Application Tracker, then they can update the status to 'Applied'.

Students can categorize their job applications based on different stages of the application process, such as 'Interviewed' and 'Offered'.

Given a student has a job application listed, when they select the status option, then they can choose from the categories 'Applied', 'Interviewed', 'Offered', or 'Rejected'.

Educators access the job application statuses of their students to evaluate program effectiveness and engagement.

Given that an educator is logged into the SkillBridge platform, when they view the analytics section, then they can see aggregated data on the status of all students' job applications.

Students receive reminders to update their job application status if they have not done so in the last two weeks.

Given a student has not updated a job application status for two weeks, when the specified time elapses, then they receive an automated notification to remind them to update their status.

The Job Application Tracker displays a visual timeline that reflects the current status of each job application a student has submitted.

Given a student accesses their Job Application Tracker, when they view their job applications, then they see a clear visual timeline indicating the statuses of each application (e.g., Applied, Interviewed, Offered, Rejected).

Students can filter their job applications by status to easily view applications in a specific stage.

Given a student has multiple job applications listed, when they apply a filter by status, then only the applications matching the selected status are displayed on the tracker.

Students can manually update their job application status to reflect incorrect or changed information due to a decision from an employer.

Given a student has received new information about a job application, when they select to manually update the status, then they can change it to the appropriate new status, and it reflects immediately in the tracker.

Application Timeline Visualization

User Story: As a student, I want to see a visual timeline of my job applications so that I can easily track important dates and milestones during my job search.
Description: This requirement involves the creation of a visual timeline that displays the history of job applications for each student. The timeline will highlight key dates such as when the application was submitted, when interviews were scheduled, and other important milestones. This feature enhances user engagement by allowing students to visualize their job search processes, making it easier for them to remember critical dates and follow up on applications. This capability will align neatly with the overall objective of SkillBridge, which is to enhance student readiness in the job market.
Acceptance Criteria: Student tracks their job applications using the Application Timeline Visualization feature.

Given a student has submitted an application, when they view their Application Timeline, then they should see a visual representation of the application submission date, interview dates, and any follow-up actions.

Educators assess the effectiveness of training programs based on students' job application statuses.

Given an educator accesses the job application data, when they view the Application Timeline for a student, then they should see the dates and statuses for each application submitted by the student, allowing for an evaluation of their program's effectiveness.

Students receive reminders for important application milestones.

Given a student has important dates documented in their Application Timeline, when those dates approach, then the student should receive a notification reminding them of the upcoming deadlines for follow-ups or interviews.

Students can edit or update job application information.

Given a student wishes to update their application information, when they select an application on their Application Timeline, then they should be able to edit the application details and save the changes successfully.

Students can filter their application timeline by status (e.g., submitted, interview scheduled, offer received).

Given a student accesses the Application Timeline, when they select a filter for application statuses, then the timeline should update to display only the applications that match the selected status criteria.

Students easily navigate back to previous timelines for historical data.

Given a student is viewing their Application Timeline, when they select a previous month or year, then the timeline should display the job applications from that selected period accurately.

Students can export their application data for personal use or sharing.

Given a student wants to export their job application data, when they select the export option on the Application Timeline, then they should receive the application data in a downloadable format (e.g., PDF, CSV) that includes all relevant details.

Performance Analytics Dashboard

User Story: As an educator, I want access to an analytics dashboard of job application performance so that I can evaluate the effectiveness of my training program and identify areas for improvement.
Description: This requirement entails developing a dashboard that provides analytics on job application performance for both students and educators. It will include metrics such as the number of applications submitted, response rates from employers, and success rates in obtaining interviews or job offers. This dashboard will serve as a tool for educators to assess the effectiveness of their training programs and provide insights into where students may need additional support or resources. By enabling data-driven decisions, the SkillBridge platform can continuously improve its offerings and student outcomes.
Acceptance Criteria: Job Application Performance Metrics Review for Students and Educators

Given that the user accesses the Performance Analytics Dashboard, when they select the 'Job Applications' section, then they should see a summary of total applications submitted, response rates, and interview success rates displayed clearly with visual representations (graphs/charts).

Exporting Analytics Data for Educators

Given that an educator is viewing the Performance Analytics Dashboard, when they click the 'Export Data' button, then the educator should successfully download a CSV file containing all relevant job application metrics for their students.

Real-time Updates of Application Status

Given that a student has submitted a job application, when the application status changes (e.g., response received, interview scheduled), then the dashboard should reflect this updated status in real-time without requiring a page refresh.

Filtering Metrics by Time Period

Given that the user is on the Performance Analytics Dashboard, when they select a specific time period (e.g., last week, last month) to filter metrics, then only application metrics relevant to that time frame should be displayed accurately.

Identifying Skill Gaps Based on Job Applications

Given that the Performance Analytics Dashboard shows job application data, when an educator reviews the success rates of student applications against required job skills, then they should be able to identify specific skills or training areas where students need further development.

Application Reminders and Notifications

User Story: As a student, I want to receive reminders and notifications about my job applications so that I can stay organized and never miss an opportunity.
Description: This requirement introduces a notification system that reminds students of key application deadlines, interview dates, and follow-up tasks. Students can set preferences for how and when they want to receive notifications, which would help them stay organized and proactive in their job search. This feature would reduce the chances of missed opportunities and ensure that students remain engaged with the application process. Additionally, this supports SkillBridge's mission of ensuring students are well-prepared for the workforce by providing them with the tools to navigate their job search effectively.
Acceptance Criteria: Students access the Job Application Tracker and set up their preferences for reminders and notifications regarding job applications, indicating their preferred frequency and method of notification (email, SMS, in-app).

Given that the student has accessed the Job Application Tracker, when they configure their notification preferences, then the system should successfully save their preferences and display a confirmation message.

A student receives a reminder notification for an upcoming job application deadline that they have set in their preferences.

Given that the student has configured a reminder for a specific job application deadline, when the deadline approaches, then the student should receive a notification via their chosen method (email, SMS, in-app) at the specified time.

A student sees an organized timeline of all their upcoming job application reminders and deadlines within the Job Application Tracker interface.

Given that the student reviews their job application timeline, when they view the reminders section, then they should see all upcoming notifications organized by date, including application deadlines and interview dates.

Students can edit or delete their existing notifications and preferences within the Job Application Tracker.

Given that the student wants to modify their notification settings, when they access the edit function for their preferences, then they should be able to update or remove any existing notification settings successfully.

Educators access aggregated data on student engagement with the application reminders and notifications to evaluate the effectiveness of training programs.

Given that the educator is viewing the analytics dashboard, when they select the metrics related to student notifications, then they should see a summary of student engagement metrics (e.g., number of notifications sent, acknowledgment rates) for the specified term.

Students experience a scenario where an important reminder is missing due to system failure or incorrect setup.

Given that a student has set a reminder for an important event, when the notification fails to deliver, then the system should log the incident and inform the student about the missed notification with an option to re-set it.

Integration with Third-party Job Boards

User Story: As a student, I want to integrate my job application tracker with third-party job boards so that I can centrally manage all my applications in one place.
Description: This requirement focuses on allowing students to integrate their job application tracker with popular third-party job boards and platforms. This includes options for importing job listings, application statuses, and deadlines directly into SkillBridge. By creating a seamless connection with other platforms, students will have a centralized location for managing their job applications, increasing efficiency and reducing manual tracking errors. This feature enhances the overall user experience by streamlining processes and aligning with students' preferences for holistic support while job searching.
Acceptance Criteria: Job Integration Process for Students

Given a student user who has their job application tracker open, when they select the option to integrate with a third-party job board, then they should be able to successfully connect their SkillBridge account to the job board without errors and receive a confirmation message.

Importing Job Listings

Given the student has completed the integration with a third-party job board, when they request to import job listings, then all relevant job listings from the selected job board should be displayed in their SkillBridge job application tracker within 5 minutes.

Updating Application Statuses

Given a student has imported job listings from a third-party job board, when the status of any job application changes on the job board (e.g., from 'Applied' to 'Interview' or 'Rejected'), then this change should be reflected in the student's SkillBridge job application tracker within 10 minutes.

Deadline Notifications

Given a student has job listings with application deadlines imported from a third-party job board, when any deadline is approaching (within 3 days), then the student should receive a notification within SkillBridge to remind them of the upcoming deadline.

Manual Job Entry Option

Given the job application tracker is open, when a student chooses to manually enter a job application that is not found in the third-party integrations, then they should be able to successfully add a new job application with fields for company name, position, application status, and deadline.

Analytics for Educators

Given an educator is reviewing the job application tracker analytics, when they access the reports section, then they should see aggregated data on student job applications, including average application status timelines and common positions applied for over the last month.

Company Showcase

The Company Showcase feature allows industry partners to create detailed profiles showcasing their culture, values, and job offerings. By providing a platform for employers to present themselves, students gain insights into potential workplaces, helping them make more informed choices regarding internships and job applications.

Requirements

Profile Creation

User Story: As a corporate partner, I want to create a detailed company profile so that students can learn about our culture, values, and job opportunities, facilitating informed internship and job applications.
Description: The Company Showcase feature requires a robust profile creation tool that allows industry partners to set up detailed profiles. This tool must include fields for company culture, values, job offerings, and visual elements such as logos and images. The profile creation process should be user-friendly, ensuring that partners can easily input and update their information as needed. Integration with backend databases for storing and retrieving profiles is essential, along with capabilities for categorizing and tagging companies based on industry, location, and job type. This functionality is crucial as it provides a personalized and comprehensive view of potential employers for the students, ultimately helping them make informed decisions about their careers.
Acceptance Criteria: User-Friendly Profile Creation Process

Given an industry partner logged into the platform, when they access the profile creation tool, then they should be able to fill out required fields on company culture, values, and job offerings without encountering any errors, and should receive a confirmation message upon successful profile creation.

Visual Element Integration

Given an industry partner on the profile creation page, when they upload a company logo or images, then the system must accept standard image formats (JPEG, PNG), and provide a preview of the uploaded images before final submission.

Backend Data Storage Alignment

Given a successfully created company profile, when the system saves the information, then all data fields (company culture, values, job offerings, images) must be accurately stored in the backend database without loss of information or delays in retrieval.

Categorization and Tagging Functionality

Given an industry partner creating a profile, when they fill in the categorization fields (industry, location, job type), then the fields should provide a dropdown of existing categories, and the submitted profile should be correctly tagged based on the entries made.

Profile Edit and Update Functionality

Given a company profile already created, when the industry partner accesses the profile for editing, then they should be able to update all fields with the new information and save the changes successfully with a confirmation message indicating the update was successful.

Comprehensive Profile Visibility

Given a student browsing the Company Showcase, when they view a company profile, then they should see the complete information including company culture, values, job offerings, and visual elements clearly displayed and formatted for easy reading.

Error Handling in Profile Creation

Given an industry partner attempting to create a profile with missing required fields, when they submit the profile, then the system must display error messages indicating which fields are missing and prevent the profile from being created until all required fields are filled correctly.

Search and Filter Functionality

User Story: As a student, I want to be able to search and filter company profiles based on my interests so that I can easily find potential employers that suit my career aspirations.
Description: To enhance user experience, the Company Showcase feature should include advanced search and filtering capabilities. Users must be able to search profiles by keywords, industry categories, job types, location, and other relevant criteria. This functionality will enable students to quickly find companies that align with their interests and career goals, increasing the value of the showcase feature. Filters should be intuitive and allow for multiple selections, ensuring users can narrow down their options effectively. Integrating analytics to track user interactions with search and filter functionalities can provide insights for ongoing enhancements.
Acceptance Criteria: Searching for companies by industry category.

Given a user is on the Company Showcase page, when the user selects an industry category from the filter options, then the displayed companies should update to show only those that match the selected industry.

Searching for companies using keywords.

Given a user is on the Company Showcase page, when the user enters a keyword in the search bar, then the displayed companies should filter to only show those whose profiles contain the keyword in their culture or values descriptions.

Applying multiple filters at once for job types and locations.

Given a user is on the Company Showcase page, when the user selects multiple job types and a location, then the list of displayed companies should include only those that match all selected criteria simultaneously.

Adjusting filters dynamically after initial selection.

Given a user has applied initial filters on the Company Showcase page, when the user changes one of the filters, then the displayed companies should refresh immediately to reflect the new filter selection without needing to reload the page.

Tracking user interactions with search and filter functionalities.

Given the Company Showcase feature is live, when users interact with the search and filter options, then that interaction data should be recorded in analytics for future review and improvement insights.

Accessing user-friendly filter options.

Given a user is on the Company Showcase page, when the user views the filter options, then they should be clearly labeled and designed for intuitive use, ensuring users can easily navigate their selections.

Company Highlight Feature

User Story: As a corporate partner, I want to showcase specific job openings and unique aspects of my company culture prominently so that I can attract the right candidates to our opportunities.
Description: The platform should include a feature that allows companies to highlight specific job openings or unique aspects of their culture prominently on their profiles. This could include banners, dedicated sections, or spotlight areas that draw attention to the most compelling offer or information. The highlight feature must be customizable by the company and should allow for multimedia content like videos or testimonials to showcase their workplace culture. This capability is important not only for increasing visibility for the openings but also for showcasing the values that make companies attractive to new talent.
Acceptance Criteria: When a company sets up their profile on SkillBridge, they want to highlight their job openings and company culture through customizable sections.

Given a company profile is created, When the company accesses the highlight feature, Then they should be able to add a custom banner displaying their job openings and company values.

An industry partner visits SkillBridge to learn about potential employers, and they want to see highlighted job openings that catch their attention.

Given a user views a company profile, When the page loads, Then the highlighted job openings should be prominently displayed at the top of the profile for easy visibility.

A company wants to enhance their profile by adding multimedia elements to showcase their workplace culture.

Given a company is editing their profile, When they upload videos or testimonials, Then these multimedia elements should be displayed in the dedicated highlight section without loss of quality.

Students are browsing through multiple company profiles on SkillBridge, aiming to make informed decisions about job applications based on company culture.

Given students are browsing company profiles, When they filter profiles by highlights, Then they should see a list of companies sorted by the most compelling highlights first.

A company seeks to update their highlighted job openings regularly to maintain current information on SkillBridge.

Given a company has highlighted job openings, When they make updates, Then those changes should reflect immediately on their profile to ensure accurate information is displayed.

A user wants to understand how the highlighted sections of a company profile influence their internship or job application decisions.

Given a user is interacting with company profiles, When they view highlighted sections, Then an analytics report should capture user engagement metrics for those highlights to assess their impact.

Analytics Dashboard for Companies

User Story: As a corporate partner, I want to access an analytics dashboard that shows me how students engage with my profile so that I can refine my approach to attract more candidates.
Description: An analytics dashboard should be implemented for companies to view engagement metrics regarding their profiles. This feature must provide insights into how many students viewed their profiles, interacted with job postings, and applied for positions. The dashboard should present the data visually through graphs and charts, allowing companies to assess the effectiveness of their showcase. This functionality is vital for corporate partners to understand their reach and attraction among students, enabling them to tailor their profiles and job offerings better according to audience preferences.
Acceptance Criteria: User Interaction with the Analytics Dashboard

Given a corporate partner is logged into SkillBridge, When they navigate to the Analytics Dashboard, Then they should see a summary of engagement metrics including total views, interactions, and applications received for their profile.

Data Visualization on the Dashboard

Given the analytics data is available, When the corporate partner accesses the dashboard, Then the engagement metrics should be displayed visually through bar graphs and pie charts for easy interpretation.

Historical Data Access

Given a corporate partner is viewing their analytics dashboard, When they select a date range filter, Then they should be able to view historical engagement metrics for that specific period.

Real-time Data Updates

Given that a corporate partner is viewing their analytics dashboard, When a student interacts with their job postings, Then the metrics on the dashboard should refresh in real-time to reflect this interaction immediately.

Exporting Analytics Reports

Given a corporate partner is on the analytics dashboard, When they click on the export option, Then they should be able to download the engagement metrics report in CSV format.

User Feedback Mechanism

Given a corporate partner has used the analytics dashboard, When they provide feedback through a specified form, Then their feedback should be collected and stored for review by SkillBridge administration.

Access Permissions for Analytics Feature

Given a corporate partner account, When a user without appropriate permissions tries to access the analytics dashboard, Then they should receive an error message indicating insufficient permissions.

Feedback and Rating System

User Story: As a student, I want to rate and provide feedback on my experiences with companies so that other students can make better-informed decisions about where to apply for internships and jobs.
Description: A feedback and rating system should be established within the Company Showcase feature that enables students to provide ratings and feedback on their experiences with various companies. This system will help create a transparent view of company culture and work environments, which can be beneficial for other students when considering employment opportunities. The feedback collected should be displayed on company profiles (with consent), enabling potential interns and job seekers to gauge company dynamics and culture. This feature is essential for building trust and community among users by promoting accountability within organizations.
Acceptance Criteria: Students can access the feedback and rating system for companies listed in the Company Showcase feature.

Given a logged-in student, when they navigate to the Company Showcase and select a company, then they should see an option to provide feedback and a rating for that company.

Students are able to submit their ratings and feedback effectively.

Given a logged-in student on the feedback submission page, when they select a rating from 1 to 5 and enter text feedback, then they should be able to successfully submit their feedback with a confirmation message displayed.

Feedback and ratings are displayed accurately on company profiles.

Given that feedback has been submitted by students, when a user views the selected company's profile, then they should see the aggregated ratings and individual feedback displayed under a feedback section on the profile.

Users must consent to have their submitted feedback displayed publicly.

Given a feedback submission, when a student submits their feedback, then they should have an option to consent to the public display of their feedback on the company profile, without consent it should not be displayed.

Collected feedback helps other students make informed decisions.

Given that students are viewing a company's profile, when they read the feedback and ratings, then they should be able to gain insights into the company culture and work environment based on the collective responses of previous interns and employees.

Feedback is moderated to ensure appropriate content before publication.

Given a feedback submission, when feedback is submitted, then it should go through a moderation process where inappropriate content is filtered out before being displayed on the company profile.

Companies can view and respond to feedback.

Given that feedback has been submitted for a company profile, when the company representative logs into their account, then they should see the feedback and have the option to respond publicly to comments provided by students.

Skill Match Analyzer

The Skill Match Analyzer assesses the skills required for job postings and compares them with students' registered skills and competencies. This feature helps students identify which roles they qualify for and what skills they need to develop further, enhancing their employability and aligning educational pathways with job market needs.

Requirements

Skill Requirement Identification

User Story: As a student, I want the Skill Match Analyzer to help me identify the skills required for job postings so that I can understand which positions I am qualified for and what additional skills I need to develop.
Description: The Skill Requirement Identification module will analyze job postings to extract and categorize required skills, providing a comprehensive overview of competencies needed for various roles. This feature will enhance the Skill Match Analyzer’s ability to present students with clear, actionable insights on which job positions they qualify for. It will support personalized learning paths by identifying skill gaps and aligning them with educational offerings, thus improving students' employability in the job market.
Acceptance Criteria: Skill Match Analyzer accurately identifies relevant skills from diverse job postings.

Given a job posting with specified skills, when the Skill Match Analyzer processes the posting, then it extracts and categorizes the required skills correctly.

Students can access their skill profiles that correlate with job postings analyzed by the system.

Given a student logs into the SkillBridge platform, when they view the Skill Match Analyzer results, then they can see their registered skills and the skills needed for various job roles.

Users receive actionable recommendations for skill development based on identified skill gaps.

Given a student views their skill gap analysis, when they check recommended courses, then they find courses aligned with the skills they need to develop for job qualifications.

The system updates in real-time with changes in job postings and skill requirements.

Given a job posting is amended, when the Skill Match Analyzer re-assesses the posting, then it reflects updated skills for students within 5 minutes.

Skill Match Analyzer provides comprehensive analytics on skill trends across various industries.

Given multiple job postings are analyzed, when the Skill Match Analyzer compiles the data, then it presents clear analytics on the most requested skills by industry.

Incorporation of feedback mechanisms to improve the accuracy of skill identification over time.

Given the Skill Match Analyzer has been in use for a period, when users provide feedback on skill accuracy, then the system uses this data to improve its analytics model within the next update.

Competency Comparison Engine

User Story: As a career-oriented user, I want the Competency Comparison Engine to compare my skills with job requirements so that I can focus my learning on areas where I need improvement.
Description: The Competency Comparison Engine will facilitate a detailed assessment of students' registered skills and competencies against identified job requirements. This engine will provide comparison metrics, highlighting gaps in skills and competencies, and enabling students to make informed decisions about their learning paths. By integrating with the current user database, it will streamline the user experience and ensure that students receive tailored recommendations for skill development based on actual job market needs.
Acceptance Criteria: User submits their registered skills and competencies for assessment against a job posting's requirements.

Given the user has submitted their registered skills, when the Competency Comparison Engine runs a comparison with the job requirements, then the system should display a detailed report highlighting skill gaps and competencies that meet or exceed job expectations.

User reviews the skill gap report generated by the Competency Comparison Engine.

Given the report is generated, when the user accesses the skill gap report, then the report should clearly indicate skills that are lacking, skills that meet the requirement, and recommended learning pathways to acquire the missing skills.

User wants to update their skill set after receiving feedback from the Competency Comparison Engine.

Given the user has identified skill gaps, when they select recommended improvement pathways, then the system should allow them to enroll in courses or training relevant to the skills needed for job applications with a confirmation of enrollment.

Administrator reviews the effectiveness of the Competency Comparison Engine based on user feedback and outcomes.

Given the administrator is reviewing user feedback, when reviewing the reports, then the system should provide aggregated data about user satisfaction, skill acquisition progress, and job application success rates to measure the feature's effectiveness.

User receives a notification about job opportunities aligning with their skills after using the Competency Comparison Engine.

Given the user has completed the assessment, when the system identifies job openings matching the user's skills, then the user should receive a personalized notification with links to apply directly for those positions.

The system integrates user data securely without compromising user privacy during assessments.

Given the user submits their data for assessment, when the Competency Comparison Engine processes this data, then it must ensure compliance with data protection regulations and user consent must be verified before proceeding with any analysis.

Personalized Learning Path Generation

User Story: As a student, I want the system to generate a personalized learning path based on my skill gaps so that I can efficiently enhance my qualifications for my desired job roles.
Description: The Personalized Learning Path Generation feature will create customized educational plans based on the skills assessments provided by the Skill Match Analyzer and the Competency Comparison Engine. This module will suggest relevant courses, resources, and practices tailored to fill specific skills gaps identified for each student, resulting in a more targeted approach to skill development. The feature will also adapt plans over time to reflect changes in job requirements and individual progress, ensuring continuous alignment with industry standards.
Acceptance Criteria: Student uses the Skill Match Analyzer to identify their existing skills and competencies in relation to a job posting.

Given a job posting, when the student inputs their registered skills, then the analyzer should generate a report highlighting the matched skills and the gaps that need to be filled.

Automated course recommendations are generated based on the identified skills gaps.

Given a set of identified skill gaps, when the personalized learning path is generated, then the system should suggest at least three relevant courses for each identified gap.

The system updates personalized learning paths based on student progress and evolving job market requirements.

Given the student's progress data, when the system is run, then it should automatically adapt the learning path to include new courses or remove outdated ones based on the latest job postings.

A student reviews their personalized learning path and provides feedback on the relevancy of the suggested courses.

Given a list of suggested courses, when a student selects a course to provide feedback, then they should be able to rate its relevancy on a scale from 1 to 5 and submit comments.

Educators review the generated learning paths for a cohort of students to ensure alignment with industry trends.

Given a cohort of students, when an educator accesses the learning path reports, then they should see a summary of the courses suggested and their alignment with current industry standards.

Track the effectiveness of the personalized learning paths in improving students’ job placements.

Given data on student job placements, when the effectiveness report is generated, then it should show an increase in job placements by at least 20% after implementing personalized learning paths.

The system provides analytics on how many students have successfully completed the suggested courses.

Given the course completion data, when analytics are generated, then it should report the percentage of students who have completed the recommended courses within the scheduled timeframe.

Real-time Skill Gap Analysis

User Story: As a user, I want real-time updates on my skill gaps in relation to job market data so that I can adjust my learning approach as needed to remain competitive in my field.
Description: The Real-time Skill Gap Analysis feature will utilize AI algorithms to provide immediate feedback on how students’ skills match with current job market demands. This feature will allow for dynamic comparisons and updates, ensuring that students are always aware of their skill gaps as they evolve. By integrating with job market data feeds, it will ensure students receive the most current and relevant insights on employment prospects, thus enhancing their employability by allowing timely interventions for skill development.
Acceptance Criteria: Real-time feedback for skill alignment with job postings.

Given a student registers their skills on the SkillBridge platform, when a job posting is analyzed using the Skill Match Analyzer, then the system should display an immediate report indicating the alignment of the student's skills with the job requirements, highlighting any gaps.

Dynamic updates with job market changes.

Given that the job market data feed is updated, when the Skill Match Analyzer is run, then the system should refresh the skill gap analysis for all registered students and reflect the most current job market insights in real-time.

User-friendly interface for students to view skill gaps.

Given a student accesses the Skill Match Analyzer, when they click on the 'View Skill Gaps' button, then the system should display their skills alongside the job requirements and clearly indicate any mismatched skills in an understandable format.

Notifications for students regarding necessary skill development.

Given that a student's skill gap is identified, when the Skill Match Analyzer completes its assessment, then the system should send an automated notification to the student recommending specific courses or skills to pursue to close their skill gaps.

Tracking students' progress in skill development.

Given a student enrolls in courses to address their identified skill gaps, when they complete a course, then the Skill Match Analyzer should update their skills profile and reflect the improvement in alignment with job postings.

Reporting analytics for educators or trainers.

Given an educator accesses the Skill Match Analyzer dashboard, when they run a report on student skill gaps, then the system should provide a comprehensive analysis showing overall trends in skills gaps across all students, helping in course development.

Analytics Dashboard for Employers

User Story: As an employer, I want to access an analytics dashboard that shows skills gaps and trends in student competencies so that I can make informed decisions about hiring and training efforts.
Description: The Analytics Dashboard for Employers will provide corporate partners with insights into skill gaps observed among students and trends in job postings. This dashboard will aggregate data from the Skill Match Analyzer, showcasing how well the institution’s offerings align with job demands, assisting in strategic decisions regarding curriculum updates. It will also allow corporations to better understand the readiness of the workforce they seek to engage, fostering closer relationships between educational institutions and corporate partners.
Acceptance Criteria: Employers accessing the analytics dashboard to view the skill gaps in students' competencies based on recent job postings they have submitted.

Given the employer logs into the analytics dashboard, when they select a specific job posting, then they should see a detailed report of the required skills versus registered student competencies, including visual graphs of skill gaps.

Corporate partners utilizing the analytics dashboard to compare skill demand trends over the last year across different job roles.

Given the corporate partner accesses the trends section of the dashboard, when they filter by job role and date range, then they should see a comprehensive comparison of skill demands visually represented in the dashboard.

Educational institutions reviewing the analytics dashboard to assess how their curriculum aligns with identified skill gaps for various industries.

Given an educational institution is logged into the dashboard, when they navigate to the curriculum alignment section, then they should receive recommendations on curriculum adjustments based on the skill gap data displayed.

Employers generating a report from the analytics dashboard regarding the readiness of students for job roles they are trying to fill.

Given the employer is on the analytics dashboard, when they select the generate report option, then the system should produce a downloadable report summarizing the readiness levels of students in relation to the specific job postings.

Corporate partners exploring insights into the frequency of certain skills being requested in their industry.

Given a corporate partner uses the dashboard, when they search for a particular skill, then they should see analytics showing the historical demand for that skill over the past 6 months.

Maintaining the accuracy and timeliness of the data presented on the analytics dashboard concerning skill gaps and job postings.

Given the analytics dashboard refreshes its data, when the refresh occurs, then the employer should observe updated skill gap analyses that accurately reflect the most recent job postings within 24 hours.

Feedback Mechanism for Continuous Improvement

User Story: As a student/user, I want to provide feedback on the Skill Match Analyzer so that my suggestions can help improve the tool's effectiveness and relevance.
Description: The Feedback Mechanism for Continuous Improvement will enable students and employers to provide input on the effectiveness of the Skill Match Analyzer and associated features. This mechanism will facilitate a two-way communication stream that allows users to share experiences, highlight areas for improvement, and suggest additional features. By implementing feedback loops, the platform can continuously enhance its functionality based on user needs and changing job market dynamics, fostering a culture of ongoing development and adaptation.
Acceptance Criteria: Users provide feedback on the Skill Match Analyzer's performance after using the tool to compare their skills with job postings.

Given a user submits feedback through the feedback form, when they select a specific aspect of the Skill Match Analyzer, then the feedback is recorded in the system for review.

Employers assess the relevance of the skills identified by the Skill Match Analyzer based on their specific job postings.

Given an employer reviews the listed skills for a job posting, when they provide feedback on the accuracy of skills presented, then the system captures and categorizes the feedback appropriately.

Students request additional features for the Skill Match Analyzer to improve its effectiveness in identifying skills gaps.

Given a student accesses the feedback request feature, when they describe a desired feature, then the feature suggestion is submitted and acknowledged by the system.

The system recognizes common themes from user feedback to facilitate pattern identification for continuous improvement.

Given multiple feedback submissions from users, when the system analyzes the feedback data, then it generates a report highlighting recurring issues and suggestions for feature enhancements.

Users receive confirmation that their feedback has been successfully submitted and will be reviewed.

Given a user submits their feedback, when the submission is completed, then the user receives a confirmation message detailing next steps and the review process.

The administrators access a dashboard to review feedback trends and user suggestions on the Skill Match Analyzer.

Given the administrator logs into the dashboard, when they navigate to the feedback section, then they can view a summary of feedback trends, including positive and negative comments by category.

The system allows users to rate the Skill Match Analyzer's effectiveness on a scale for easier feedback analysis.

Given a user wants to rate the Skill Match Analyzer, when they select a rating from 1 to 5, then the rating is recorded in the feedback database along with optional comments.

Feedback Loop

The Feedback Loop feature enables industry partners to provide real-time feedback on students’ applications through the marketplace. This direct input fosters continuous improvement, allowing students to refine their approach to job applications while cultivating connections with potential employers.

Requirements

Real-time Feedback Input

User Story: As an industry partner, I want to provide real-time feedback on student applications so that I can help them improve their job-seeking skills and make better connections with potential employers.
Description: The Real-time Feedback Input requirement allows industry partners to submit feedback on student applications directly within the SkillBridge platform. This functionality will enable a streamlined process where feedback can be provided instantly following a review, fostering an environment of continuous improvement for students. The integration within the marketplace enhances collaboration between educational institutions and corporate partners, allowing for quicker adjustments to learning paths based on actual employer needs. Such immediate feedback mechanisms are crucial for equipping students with actionable insights to refine their job applications and enhance their employability prospects. Additionally, it will help educators understand trends in feedback, guiding curricular improvements and aligning with industry standards.
Acceptance Criteria: Submission of Feedback on Student Applications

Given an industry partner is logged into the SkillBridge platform, when they navigate to a student's application, then they should be able to submit feedback that is time-stamped and saved immediately.

Real-time Feedback Visibility

Given a student has submitted an application, when an industry partner provides feedback, then the student should receive a notification and be able to view the feedback in their application history immediately.

Feedback Format Validation

Given an industry partner is providing feedback, when they submit their feedback, then the submission must adhere to predetermined format guidelines (e.g., character limit, professional language) before being accepted.

Feedback Analytics Dashboard

Given that feedback has been provided by industry partners, when an educator accesses the analytics dashboard, then they should see aggregated feedback metrics such as average rating, common themes, and trends over time.

Feedback Refinement Cycle

Given students have received feedback from industry partners, when they utilize the feedback to revise their applications, then their follow-up submissions should demonstrate measurable improvement in feedback scores based on subsequent evaluations.

User Permissions for Feedback Submissions

Given an industry partner wants to submit feedback, when they are not authorized to access a student's application, then they should receive an error message stating insufficient permissions.

Enhanced Feedback Analytics

User Story: As an educator, I want to analyze the feedback provided by industry partners so that I can identify trends and improve the curriculum accordingly to better prepare students for job applications.
Description: The Enhanced Feedback Analytics requirement introduces robust analytics capabilities to track, analyze, and visualize the feedback collected from industry partners. This component will provide insights into common areas of improvement indicated by feedback, enabling both educators and students to spot trends and make data-driven decisions. It aims to enhance the overall efficacy of the feedback loop by allowing key stakeholders to understand strengths and weaknesses in student applications over time, thereby facilitating targeted training and development initiatives. This requirement will play a significant role in ensuring that the educational offerings are continuously aligned with the evolving demands of the job market, fostering better job preparedness and outcomes for students.
Acceptance Criteria: Track and visualize feedback trends from industry partners over a semester for continuous curriculum improvement.

Given a semester's worth of feedback data, when the educator accesses the feedback analytics dashboard, then they should be able to view trends showing common areas of improvement indicated by industry partners, with visual representations such as graphs or charts.

Allow educators to filter feedback data based on specific skill areas evaluated by industry partners.

Given the feedback analytics tool, when an educator selects a specific skill area, then the system should display all feedback relevant to that skill area, allowing for targeted analysis of strengths and weaknesses.

Provide real-time updates on feedback submissions from industry partners for timely interventions.

Given that an industry partner submits feedback on a student's application, when the submission is completed, then the feedback should be reflected in the analytics dashboard within 5 minutes.

Enable students to view aggregated feedback on their applications to identify their strengths and limitations.

Given a student's login to SkillBridge, when they access their application feedback section, then they should see a summary of strengths and areas for improvement based on feedback from multiple industry partners.

Generate reports that summarize industry partner feedback for review during curriculum planning sessions.

Given a curriculum planning session, when the relevant stakeholders request feedback reports, then the system should generate reports summarizing feedback trends over the last academic term, enabling data-driven discussions.

Feedback Response Notification

User Story: As a student, I want to receive notifications when I get feedback on my application so that I can quickly make necessary adjustments and improve my chances of success.
Description: The Feedback Response Notification requirement ensures that users receive timely notifications when feedback is provided by industry partners. This functionality will enable students and educators to be promptly informed about updates, encouraging proactive engagement with the feedback received. Notifications can be configured within the platform for various methods (e.g., email, SMS, in-app alerts), ensuring all users can tailor their experience according to their preferences. By keeping users informed, this requirement enhances the overall user experience, fostering a culture of responsiveness and commitment to continuous improvement among students as they refine their job application materials.
Acceptance Criteria: Student receives feedback from an industry partner regarding their job application in real-time through the platform.

Given a student has submitted their job application through SkillBridge, When the industry partner provides feedback, Then the student receives a notification via their selected notification method (email, SMS, in-app alert) within 5 minutes of the feedback being submitted.

Educators need to monitor the feedback received by their students to guide their coaching activities.

Given an educator is logged into SkillBridge, When feedback is provided by industry partners for their students' applications, Then the educator receives a summary notification daily that lists the feedback received for each student.

Students wish to customize their notification preferences to ensure they receive updates via their preferred method.

Given a student is in their account settings, When they select their preferred notification methods (email, SMS, in-app alert), Then the system updates and confirms those preferences and uses them for all future feedback notifications.

Alerts need to be sent for critical feedback from industry partners that requires immediate attention from students.

Given a student receives critical feedback from an industry partner, When the feedback is marked as critical by the partner, Then the student receives an immediate in-app alert and an SMS notification regardless of their selected preferences for non-critical feedback.

Users require an option to review notification history for transparency and follow-up actions.

Given a user is accessing their notifications history, When they view the notifications section, Then they can see a complete list of past feedback notifications along with timestamps and methods of receipt.

Industry partners want to ensure their feedback submissions are properly acknowledged by the platform.

Given an industry partner submits feedback regarding a student's application, When the submission is successful, Then the partner receives a confirmation notification indicating that their feedback has been recorded.

Students need a way to ensure they are not overwhelmed by notifications about feedback.

Given a student has received multiple feedback notifications in one day, When they exceed a threshold of 5 feedback notifications, Then they receive a consolidated daily summary notification instead of individual feedback notifications for the remaining updates.

Badge Customization

Students can personalize their skill badges with custom icons, colors, and descriptions, allowing them to express their unique qualifications and achievements. This feature enhances personal branding, making the badges not only functional but also visually appealing. Customization fosters a sense of ownership and pride in the learner’s accomplishments.

Requirements

Custom Icon Uploading

User Story: As a student, I want to upload custom icons for my skill badges so that I can showcase my unique achievements and stand out from my peers.
Description: Students should have the ability to upload their own icons for their skill badges, facilitating a more personalized representation of their achievements. This functionality is key for enhancing user engagement, as it allows students to express creativity and individuality. The uploaded icons will undergo a review process to ensure appropriateness, ensuring alignment with the platform's standards while fostering uniqueness. This feature is critical for enhancing personal branding, enabling learners to stand out in a competitive job market by combining skill recognition with visual identity.
Acceptance Criteria: Student Uploads Custom Icon for Badge Personalization

Given a student is logged into their SkillBridge account, when they navigate to the badge customization section, then they should see an option to upload a custom icon, with supported file formats and size limitations clearly specified.

Review Process for Uploaded Icons

Given a student has uploaded a custom icon, when the icon is submitted for review, then it should trigger an approval workflow that includes notification to relevant moderators and a timeline for review completion.

Successful Icon Upload Confirmation

Given a student uploads a valid custom icon, when the upload is successful, then the system should display a confirmation message and the uploaded icon should be visible in the badge customization section.

Error Handling for Invalid Icon Uploads

Given a student attempts to upload an invalid icon file, when the system processes the upload, then it should display a clear error message indicating the reasons for the failure and instructions for resolution.

Icon Review Feedback Mechanism

Given a custom icon uploaded by a student is under review, when the review process is complete, then the student should receive feedback on the approval or rejection of their icon, along with possible reasons and suggestions for adjustments if necessary.

Icon Management Features for Students

Given a student has uploaded one or more icons, when they access the icon management section, then they should have options to delete, replace, or select one icon as default for their badges.

Compliance Checks for Uploaded Icons

Given a custom icon has been uploaded, when the icon is under review, then it should be checked against community guidelines to ensure it is appropriate and does not violate platform standards.

Color Palette Selection

User Story: As a student, I want to choose colors for my skill badges so that I can personalize them and reflect my personal style.
Description: Introduce a color palette selection tool enabling students to choose colors for their skill badges. This requirement focuses on providing students with options to reflect personal preferences and styles through their badges. By having control over the colors, students can create badges that resonate with their personal brand or identity, thereby enhancing their motivation and proud ownership of their achievements. The color selection will feature a variety of preset colors, along with a custom color wheel to provide flexibility and user satisfaction in badge customization.
Acceptance Criteria: As a student, I want to select a color for my skill badge from a preset color palette so that I can personalize my badge to match my style.

Given the student is on the badge customization page, when they click on the color palette tool, then they should see at least 10 preset color options available for selection.

As a student, I want to create a custom color for my skill badge using a color wheel so that I can express my unique preferences.

Given the student is on the badge customization page and selects the custom color option, when they interact with the color wheel, then they should be able to select any color and see the color reflect immediately on the badge preview.

As a student, I want to see a live preview of my badge as I change colors so that I can visualize my customizations instantly.

Given the student is customizing their badge, when they select a new color from either the preset palette or the custom color wheel, then the badge preview should update in real-time to reflect the selected color.

As a student, I want to be able to reset my badge colors to the default setting if I change my mind during customization.

Given the student has selected and changed colors for their badge, when they click on the reset button, then the badge colors should revert to the original default colors provided by the system.

As a student, I want to see a summary of all my selected badge customizations before finalizing so that I can confirm my choices.

Given the student has made customizations to the badge, when they click on the preview summary button, then a summary modal should display with the selected colors and an option to confirm or edit their choices.

Custom Badge Descriptions

User Story: As a student, I want to add custom descriptions to my skill badges so that I can explain my achievements and skills more effectively to others.
Description: Allow students to add personalized descriptions to their skill badges, which will provide context and depth to their achievements. This capability is important as it helps students articulate their skills and experiences in a way that is meaningful to potential employers or peers. The descriptions will enhance the functionality of the badges, transforming them from mere visual tokens into comprehensive representations of the learner’s capabilities. This feature will also include a character limit to ensure clarity and brevity, enforcing a focus on conciseness and relevance.
Acceptance Criteria: Students want to customize their skill badges by adding personalized descriptions that highlight their skills and experiences after completing a course.

Given a student is logged into their SkillBridge account, when they access the badge customization feature, then they should be able to enter a description of up to 150 characters and save it successfully.

A student attempts to add a description to their skill badge that exceeds the character limit.

Given a student is on the badge customization page, when they enter a description longer than 150 characters, then an error message should be displayed indicating the character limit has been exceeded.

An educator wants to review the badges created by students, including the personalized descriptions.

Given an educator accesses the badge review section, when they select a student's badge, then the educator should see the badge icon, color, and the personalized description displayed clearly.

Students wish to update their badge descriptions after receiving feedback from peers or mentors.

Given a student has an existing badge, when they navigate to the badge customization feature, then they should be able to edit their description and save the updated version.

A student wants to view the badges they have created with their respective descriptions to share them on social media.

Given a student is on their profile page, when they view their badges section, then they should see all the badges with their personalized descriptions displayed next to each badge for easy sharing.

Students want to ensure that their badge descriptions follow a professional tone suitable for potential employers.

Given a student is creating or editing a badge description, when they save their description, then the system should provide a prompt for professional tone suggestions, enhancing the quality of the descriptions.

Badge Preview Functionality

User Story: As a student, I want to preview my customized badges in real-time so that I can make adjustments before finalizing them.
Description: Implement a real-time preview feature that allows students to see how their customized badges will appear once published. This functionality serves as an essential tool for user satisfaction, providing immediate feedback during the badge creation process. It enables students to make adjustments before finalizing their designs, ensuring that the final appearance aligns with their expectations. The preview feature will enhance user experience and reduce the likelihood of dissatisfaction with the final product, supporting the overall effectiveness of badge customization.
Acceptance Criteria: User customization of badges with immediate visual feedback during design changes.

Given a user is on the badge customization page, when they select an icon, choose a color, or edit the description, then the preview display should update in real-time to reflect those changes.

Validation of custom badge appearance prior to final submission.

Given a user has made customizations to their badge, when they click the 'Preview' button, then the system should display a modal showing the badge exactly as it will appear when published.

Ensuring the user's selected customizations are saved when navigating away from the customization page.

Given a user has customized their badge, when they leave the customization page and return later, then all previous selections (icon, color, description) should still be displayed in the customization interface.

Compliance of badge dimensions and visual elements with design guidelines.

Given a user is customizing a badge, when they complete the design and view the preview, then the badge must adhere to the specified dimensions and visual standards (e.g., icon size, text alignment) to ensure consistency.

User-friendly interface for customization options and preview.

Given a user is on the badge customization page, when they access the customization options, then the options should be well-organized, easy to navigate, and accessible to enable a smooth user experience.

Feedback mechanism for users to report issues with the preview functionality.

Given a user encounters an issue with the badge preview, when they submit feedback via the designated form, then the system should log the issue and confirm submission to the user.

Social Sharing Options

User Story: As a student, I want to share my skill badges on social media so that I can showcase my achievements to my network and enhance my visibility to employers.
Description: Develop social media integration options that allow students to share their custom badges on various platforms directly from the SkillBridge interface. This requirement is pivotal for boosting student engagement and visibility of their skills in wider networks, promoting the SkillBridge platform among potential users. By enabling sharing, students can showcase their achievements to prospective employers and peers, fostering a robust personal brand and increasing recognition of their skills in the job market.
Acceptance Criteria: Student successfully customizes their badge and selects the social media sharing options available in the SkillBridge interface to share their badge on a selected platform.

Given a student has customized their badge, When they select the 'Share' button, Then the badge should successfully post to the selected social media platform with the appropriate privacy settings applied.

Students can view a confirmation message after successfully sharing their customized badge on social media.

Given a student shares their badge on social media, When the post is successfully published, Then a confirmation message should be displayed on the SkillBridge interface indicating the successful share.

The badge sharing feature respects the user's privacy settings by providing options for public and private sharing.

Given a student is sharing their badge, When they select privacy options, Then the sharing settings should reflect public or private sharing as per the student's selection before posting.

Students can customize the text description that accompanies their badge when shared on social media.

Given a student is sharing their badge, When they enter a custom description in the designated text box, Then the description should appear correctly alongside the badge on the social media post.

Students can share their custom badges across multiple social media platforms without any functionality issues.

Given a student has customized their badge, When they try to share it on different platforms, Then the sharing process should function seamlessly across all supported social media platforms without errors.

The system tracks engagement metrics for badges shared on social media to gauge student visibility and brand impact.

Given a student shares their badge, When the share occurs, Then the system should log engagement metrics such as likes, shares, and comments related to the badge in the SkillBridge analytics dashboard.

Guideline for Customization

User Story: As a student, I want guidelines on badge customization so that I can create appealing yet professional-looking badges that reflect my achievements appropriately.
Description: Create a set of guidelines and best practices for students on how to effectively customize their badges to maintain a professional look. This feature will ensure that while students have the freedom to express their personality through customization, the final designs remain polished and appropriate for a professional context. This educational component will work to blend creativity with professionalism, enabling students to understand how their custom badges reflect not only their personal brand but also their preparedness for the workforce.
Acceptance Criteria: Student Customizes Badge with Recommended Guidelines

Given a student is on the badge customization page, When the student applies the customization guidelines, Then the final badge preview must align with the best practices outlined in the guideline document regarding color choices, use of icons, and text descriptions.

Visual Consistency of Customized Badges

Given that a student has customized their badge, When the student views their badge alongside a selection of standardized badges, Then the customized badge must maintain a professional aesthetic that aligns with the visual standards set forth in the guidelines.

User Feedback on Customization Guidelines

Given that the customization guidelines are made available, When students use the guidelines to customize their badges, Then at least 80% of students must report that the guidelines were clear, helpful, and applicable in a survey.

Approval Process for Badge Customizations

Given a student submits their customized badge for approval, When the badge customization is evaluated by an instructor, Then the badge must either meet the established criteria for professionalism or receive feedback for required changes with clear instructions.

Learning Outcome Evaluation

Given that students have customized their badges using the provided guidelines, When the badges are reviewed one month post-launch, Then at least 90% of students must be able to articulate how their badge reflects their skills and qualifications in alignment with professional branding.

Skill Validation History

This feature provides a comprehensive history of badges earned, including details about the skills validated and assessments undertaken. By showcasing a timeline of skill development, learners can effectively communicate their growth journey to potential employers. It serves as a transparent visual record of qualifications, enhancing credibility.

Requirements

Badge Retrieval and Display

User Story: As a learner, I want to access and view my earned badges so that I can effectively showcase my skills and accomplishments to potential employers.
Description: This requirement involves the development of a robust mechanism to securely retrieve and display badges earned by users. Users should have access to a personalized dashboard that visually represents badges, indicating their accomplishments in skill validation. The functionality should also include the ability to filter and categorize badges by skill type, issue date, and other relevant parameters, thus enabling learners to showcase their progress effectively. This requirement enhances user engagement by providing a clear and visually appealing representation of their achievements, making it easier for employers and peers to recognize their qualifications.
Acceptance Criteria: User accesses the SkillBridge platform and navigates to their personalized dashboard to view their earned badges.

Given a user is logged in, when they navigate to the dashboard, then they should see a visual representation of all badges earned, including skill types and issue dates.

User filters their earned badges by skill type to view only specific accomplishments related to a chosen skill.

Given a user is on the dashboard, when they apply a filter for skill type, then only badges related to that skill should be displayed in the results.

User categorizes their badges by issue date to analyze their skill acquisition timeline.

Given a user is on the dashboard, when they categorize badges by issue date, then the badges should be displayed in chronological order from the most recent to the oldest.

User clicks on a badge to see detailed information regarding the assessment taken and skills validated.

Given a user views a badge, when they click on it, then a modal should appear displaying the name of the assessment, skills validated, issue date, and any relevant details.

User shares their badge history on social media to showcase their skills to potential employers.

Given a user is viewing their badges, when they click the 'Share' button, then a sharing interface should appear allowing the user to post their badge achievements on social media platforms.

System ensures that the badges retrieved are displayed securely without unauthorized access.

Given that badges are sensitive information, when a user retrieves their badge history, then the system should enforce user authentication to verify the user's identity before displaying any data.

User receives notifications for newly earned badges after completing skill validation assessments.

Given a user has completed a skill validation assessment, when the badge is awarded, then the user should receive a notification on their dashboard about the new badge earned.

Skill Assessment Details

User Story: As a learner, I want to view detailed information about my skill assessments so that I can understand my progress and areas for improvement.
Description: This requirement aims to provide comprehensive details about each skill validation assessment taken by the user. The feature should include information such as assessment dates, results, and feedback received. It is essential to create a structured layout that allows users to easily navigate through their assessment history, emphasizing continuous learning and improvement. This detailed history of assessments not only reinforces a learner's commitment to skill development but also serves as verifiable proof of their qualifications when presented to employers, thereby increasing their employability.
Acceptance Criteria: User views their skill assessment history to verify badge details and skill validations.

Given a user is logged into SkillBridge, When they navigate to the Skill Validation History section, Then they should see a list of all badges earned with corresponding skill validations and assessments listed chronologically.

User checks the details of a specific assessment to review feedback and results.

Given a user is viewing their skill assessment history, When they click on an individual assessment, Then they should see detailed information including assessment date, result, and feedback provided by the evaluator.

User wants to filter their assessment history by skill type.

Given a user is on the Skill Validation History page, When they apply a filter to view assessments of a particular skill type, Then the page should display only the assessments related to that skill type, along with all relevant details.

User attempts to download their assessment history for external use.

Given a user is on the Skill Validation History page, When they click the 'Download' button, Then they should receive a downloadable file of their assessment history formatted in PDF or CSV containing all relevant details.

User shares their skill validation history with potential employers via a unique URL.

Given a user accesses their Skill Validation History, When they generate a shareable link, Then the link should allow external users to view the user's assessment history without compromising personal data.

Admin reviews users' skill validation records for compliance and reporting.

Given an admin is logged into the SkillBridge platform, When they access the Skill Validation History reports, Then they should be able to view, filter, and export user assessment records based on date ranges and specific skills.

Timeline Visualization of Growth

User Story: As a learner, I want to see a visual timeline of my skill development so that I can communicate my growth journey more effectively to employers.
Description: This requirement covers the implementation of an interactive timeline feature that visually represents the learner’s skills development over time. It should display a chronological sequence of badges earned, assessments completed, and relevant skill milestones achieved. The timeline must be user-friendly, allowing users to scroll through their skill journey and gain insights into their learning progression. This feature aims to enhance the user's ability to communicate their qualifications to potential employers and increase their confidence in personal skill growth.
Acceptance Criteria: User Views Their Skill Development Timeline

Given a user is logged into SkillBridge, when they navigate to the Skill Validation History section, then they can see an interactive timeline displaying all badges earned, assessment completion dates, and skill milestones in chronological order.

User Interaction with the Timeline

Given a user is on their skill development timeline, when they scroll through the timeline, then they can smoothly navigate the timeline without performance issues or delays.

User Badge and Assessment Details Accessibility

Given a user hovers over a badge on their timeline, when they do so, then detailed information about the badge, including the skills validated and assessment date, is displayed in a tooltip.

Timeline Responsiveness on Different Devices

Given a user accesses the Skill Validation History on a mobile device, when they open the timeline, then the timeline displays correctly and is fully functional without any loss of data or usability.

User's Growth Journey Communication to Potential Employers

Given a user presents their skill development timeline to a potential employer, when the employer reviews the timeline, then they can easily understand the user's skill progression and history based on clear visual representation and data.

Comparison of Skills Over Time

Given a user is viewing their skill development timeline, when they look at the timeline, then they can compare the growth of different skills based on the badges earned and assessments completed.

Export and Share Profile

User Story: As a learner, I want to easily export my skill validation history so that I can share my qualifications with recruiters and network effectively.
Description: This requirement will facilitate the exportation of the learner's badge and assessment history into various formats (such as PDF or digital portfolio) and enable sharing on professional networks like LinkedIn. The functionality must ensure that the exported data maintains integrity and confidentiality, providing users with a shareable link or downloadable file that highlights their accomplishments in a professional format. This feature will enhance visibility for learners in the job market, allowing them to easily present their qualifications to potential employers.
Acceptance Criteria: User initiates the export of their badge and assessment history after completing a series of online courses, intending to share their accomplishments with potential employers on LinkedIn.

Given the user is logged into their SkillBridge account, when they click on the 'Export Profile' button, then they should be able to select the file format (PDF or digital portfolio) and initiate the download process without errors.

A user wants to share their skill validation history via a shareable link on social media after exporting their profile.

Given the user has successfully exported their profile, when they click on the 'Share Link' button, then a unique and secure link should be generated for sharing, ensuring that it leads to a public view of their achievements while maintaining data integrity.

An educational institution requires access to the learner's exported badge history to verify qualifications during the hiring process.

Given the user has exported their profile, when the institution accesses the shareable link, then they should see a detailed and visually appealing layout of the user's badge history and assessment records that clearly reflect the learner's skills without compromising confidentiality.

A user attempts to export their profile but encounters issues due to missing data or invalid formats in their badge history.

Given the user tries to export their profile without having completed mandatory assessments, when they click on the 'Export Profile' button, then they should receive a clear error message explaining the requirements needed to proceed with the export.

A user wishes to review and edit the details of their badge and assessment history before exporting their profile.

Given the user accesses their badge history, when they select an option to edit any badge or assessment details, then they should be able to update the necessary information and save changes successfully prior to exporting.

A user needs to ensure that their exported PDF format maintains the visual and textual integrity of their skills validation information across different devices.

Given the user exports their profile in PDF format, when they open the exported file on multiple devices (desktop, tablet, mobile), then the layout, text, and graphics should display consistently and accurately across all platforms.

Notifications for Achievements

User Story: As a learner, I want to receive notifications about my badge awards and assessment completions so that I can stay motivated and engaged in my learning journey.
Description: This requirement focuses on the creation of a notification system that alerts users when new badges are awarded, assessments are completed, or milestones are reached. Users should receive real-time updates via in-app notifications and emails. The notification system is essential for keeping users engaged with their learning journey, encouraging them to continue developing their skills and acknowledging their achievements as they progress through the platform. By fostering a sense of accomplishment, this feature helps maintain motivation among learners.
Acceptance Criteria: User receives an in-app notification upon earning a new badge for completing a skill assessment.

Given a user completes a skill assessment, When the assessment is successfully submitted, Then the user should receive an immediate in-app notification indicating the new badge awarded.

User receives an email notification when a new badge is awarded after completing a milestone.

Given a user completes a significant milestone, When the milestone is verified within the system, Then the user should receive an email notification detailing the new badge awarded and its significance.

User can view a history of notifications regarding badges and assessments in their profile.

Given a user navigates to their profile notifications section, When they select the notifications history tab, Then they should see a chronological list of all notifications related to badges earned and assessments completed.

Users have the option to customize their notification preferences for achievements.

Given a user accesses their notification settings, When they choose to customize notifications, Then they should be able to select or deselect options for in-app alerts and email notifications regarding achievements.

System ensures that duplicate notifications for the same achievement are not sent to users.

Given that a user has already been notified about a specific badge or assessment, When the achievement is displayed again, Then the system should not send a duplicate notification to the user.

User receives notifications for achievements in real-time without delays.

Given a user completes an achievement, When the system processes the completion, Then the user should receive notifications within a maximum of 2 minutes after the achievement is awarded.

User can easily dismiss notifications for completed achievements from their in-app notifications list.

Given a user views their notifications, When they choose to dismiss a badge notification, Then the notification should be removed from the notifications list and not reappear.

Social Share Integrator

Students can seamlessly share their earned skill badges across various social media platforms with a single click. This feature amplifies their achievements and enhances visibility among peers, potential employers, and connections within their professional networks. It promotes engagement and encourages a culture of recognition among learners.

Requirements

Social Media Badge Sharing

User Story: As a student, I want to share my earned skill badges on social media with one click, so that I can showcase my achievements and increase my visibility to potential employers.
Description: The Social Media Badge Sharing requirement enables students to easily and quickly share their earned skill badges on various social media platforms, such as LinkedIn, Twitter, and Facebook, through a single-click process. This feature not only increases the visibility of the students' achievements within their professional networks but also encourages peer engagement, recognition, and motivation among learners. Integration with these social media outlets should ensure that shared badges include detailed descriptions, skills learned, and links back to the SkillBridge platform, thereby enhancing the platform's footprint in digital spaces. Success metrics will include the tracking of shares made, engagement rates on social posts, and student feedback on the sharing process.
Acceptance Criteria: User shares skill badge on LinkedIn.

Given a student has earned a skill badge, when they click the 'Share' button, then the system should post the badge to LinkedIn with a description, the skills learned, and a link back to SkillBridge.

User shares skill badge on Twitter.

Given a student has earned a skill badge, when they click the 'Share' button, then the system should post the badge to Twitter with a description, the skills learned, and a link back to SkillBridge.

User shares skill badge on Facebook.

Given a student has earned a skill badge, when they click the 'Share' button, then the system should post the badge to Facebook with a description, the skills learned, and a link back to SkillBridge.

Tracking the number of shares made by users.

Given skill badges are shared, when tracking events are recorded, then the system should accurately count and display the total number of shares per badge.

User engagement on social media after sharing badges.

Given a skill badge has been shared, when analyzing social media metrics, then the system should report engagement rates (likes, comments, shares) on posts containing the badge link.

Feedback collection on the sharing process.

Given students have used the sharing feature, when they are prompted for feedback, then the system should collect and store their responses regarding the sharing experience.

Integration of skill badges with social media APIs.

Given a user attempts to share a badge, when the sharing process is initiated, then the system should successfully authenticate and post to the respective social media platform using the correct API integration.

Dynamic Badge Generation

User Story: As a student, I want to receive a digital badge automatically upon completing a course, so that I am recognized for my achievements without any additional effort.
Description: The Dynamic Badge Generation requirement involves the automatic creation and issuance of skill badges as students complete specific learning milestones or courses. This feature should incorporate a visually appealing design template that can be customized per institution or course type. Each badge must contain metadata, including the skill it represents, the issuing authority, completion date, and a unique badge ID that links back to the individual’s profile on the SkillBridge platform. This not only incentivizes students but also provides a means for educators and industry trainers to validate students' achievements.
Acceptance Criteria: Dynamic badge issuance upon course completion by students.

Given a student completes a course, when the course completion is confirmed in the system, then a dynamic skill badge is automatically created and issued to the student's profile with a corresponding notification.

Customization of badge design per institution or course type.

Given an institution's customization preferences are set, when a badge is generated for a course, then the badge reflects the specific design template associated with that institution or course type.

Presence and accuracy of metadata on issued badges.

Given a skill badge is issued, when the badge is viewed, then it must display the skill represented, issuing authority, completion date, and a unique badge ID that links back to the individual’s profile on the SkillBridge platform.

Validation of unique badge ID functionality.

Given a user has received a skill badge, when the badge ID is accessed, then it should correctly redirect to the recipient's profile and confirm the details of skill achievement.

Integration of social sharing feature for skill badges.

Given a skill badge has been issued, when the student selects the 'Share' option, then the badge should be shareable across specified social media platforms with a single click.

Analytics tracking for badge issuing and sharing.

Given a badge is shared on social media, when the analytics feature is engaged, then it should track and report the number of shares, impressions, and engagement metrics accurately.

User feedback mechanism for badge experience.

Given students have received and shared badges, when they are prompted for feedback, then they should be able to rate and comment on their badge experience, which is collected for future improvements.

Performance Analytics Dashboard

User Story: As an educator, I want to analyze student engagement with shared badges, so that I can assess the efficacy of our program in enhancing student visibility in the job market.
Description: The Performance Analytics Dashboard requirement is designed to provide a robust analytics interface for educators and corporate trainers to track student engagement with earned badges shared on social media. The dashboard will showcase data points such as total shares, social media interactions, and subsequent enrollment or inquiries linked to badge visibility. By leveraging this data, institutions can refine their skill development strategies and collaborate more effectively with industry partners, ensuring that learning paths remain aligned with market demands.
Acceptance Criteria: Students share their earned skill badges on social media platforms such as LinkedIn, Facebook, and Twitter to showcase their achievements and increase visibility to potential employers.

Given a student has successfully earned a skill badge, When the student clicks the 'share' button for the earned badge on the Performance Analytics Dashboard, Then the badge should be posted on the selected social media platform with a predefined message and visual representation of the badge.

Educators and corporate trainers access the Performance Analytics Dashboard to view analytics related to badge sharing and engagement on social media.

Given the Performance Analytics Dashboard is loaded, When an educator selects the date range for badge sharing data, Then the dashboard should display total shares, social media interactions, and any subsequent enrollments linked to badge visibility during that date range.

Educators want to evaluate the impact of social media badge sharing on student enrollments in their courses.

Given the Performance Analytics Dashboard has recorded the social media interactions, When an educator runs a report to correlate badge visibility with enrollment data, Then the report should clearly indicate any correlations between increased badge shares and new student enrollments or inquiries.

Students need to understand how their badge sharing impacts their visibility and potential job opportunities.

Given a student has shared a badge on social media, When they view their performance metrics on the dashboard, Then the dashboard should display relevant metrics indicating engagement levels from their shared badge, such as click-through rates or inquiries from potential employers.

Corporate trainers seek to refine their training strategies based on student engagement with shared badges.

Given corporate trainers are analyzing data from the Performance Analytics Dashboard, When they filter the data by specific skills or badges, Then the dashboard should present actionable insights or trends pertaining to which badges lead to higher engagement rates and job inquiries.

Administrators want to ensure the Performance Analytics Dashboard is functioning correctly and that data is accurately being collected.

Given the Performance Analytics Dashboard is implemented, When administrators check the data integrity logs, Then the logs should show successful data collection from all shared badges across all students without any errors.

Educators need to customize the messaging that appears along with shared badges on social media to better reflect their institution's branding.

Given an educator wants to customize the shared message for badges, When they update the default message template in the Performance Analytics Dashboard settings, Then the updated message should reflect in all future badge shares by students.

Social Sharing Customization Options

User Story: As a student, I want to customize my social media post before sharing my badge, so that I can express my personality and highlight my achievements more effectively.
Description: The Social Sharing Customization Options requirement empowers students to customize how their skill badges appear when shared on social media. Options include the capability to add personalized messages or hashtags, select which specific badge to share, and choose available image formats. This personalization fosters greater ownership among students and facilitates a more authentic representation of their pathways and accomplishments, enhancing the impact of their shared badges on potential employers and their networks.
Acceptance Criteria: Students want to share their skill badge on social media after completing a course. They select the badge from a list of earned badges, customize their message, and choose to share it on platforms like Twitter and Facebook.

Given a student has earned skill badges, when they access the sharing feature, they can select specific badges and customize the message before sharing, then the shared post should display the badge image, the customized message, and relevant hashtags correctly on the selected social media platform.

A student has multiple skill badges and wants to share one specific badge along with a personal message and hashtags. The student opens the social sharing interface and sees all their badges to choose from.

Given that a student views the skill badge sharing interface, when they choose a specific badge to share, select an image format, and enter a personalized message with hashtags, then the preview should accurately reflect their selections.

After sharing their skill badge, a student wants to verify how it appears on their selected social media platform. This ensures that the badge's image, message, and hashtags are displayed correctly and professionally.

Given that a student shares a skill badge, when they go to their social media profile, then the shared post must align with the output criteria: badge image, personalized message, and hashtags should appear formatted correctly without any distortion.

Students want to know what formats are available for sharing their skill badges. When they attempt to customize their sharing options, they should be presented with a selection of image formats.

Given a student accesses the skill badge sharing feature, when they open the customization options for their post, then they should see a list of available image formats (e.g., JPEG, PNG) and can select which one to use.

A student wants to share their skills badge with predefined messages or hashtags as quick options to enhance their social presence without creating a new message every time.

Given the student is using the social sharing feature, when they view the customization options, then they should see predefined message templates or hashtags that can be easily selected for their posts.

A user interface has been designed for sharing skill badges. The student must be able to use it on both mobile and desktop browsers effectively without issues.

Given the skill badge sharing feature is accessed from a mobile device or desktop, when a student employs the interface, then the UI should be responsive and functioning properly on both platforms, allowing all sharing options to work as intended.

Social Media Link Integration

User Story: As a potential employer, I want to click on a badge shared by a candidate and be directed to their SkillBridge profile, so that I can evaluate their qualifications and skills quickly and easily.
Description: The Social Media Link Integration requirement facilitates direct links from the shared skill badges to the student's SkillBridge profile. This feature allows recruiters and connections to access relevant information about the student's skills, achievements, and overall career pathway, helping to increase their chances of employment. The integration should be seamless and should also include options for students to control the visibility of their profiles to different audiences.
Acceptance Criteria: User Shares Skill Badge on Social Media

Given a student has successfully earned a skill badge, when they click the 'Share' button, then the skill badge should be posted on their selected social media platform with a direct link to their SkillBridge profile.

Profile Visibility Control for Shared Badges

Given a student is sharing their skill badge, when they select their preferred audience visibility option, then only those designated viewers should be able to access the shared badge and profile link.

Successful Integration with Multiple Social Media Platforms

Given a student has options to share their skill badge, when they choose different social media platforms (Facebook, LinkedIn, Twitter), then the integration should provide an intuitive sharing process without errors or broken links.

Verification of Linked Profiles from Shared Badges

Given a skill badge has been shared on social media, when a recruiter clicks the shared badge link, then the recruiter should be redirected to the correct SkillBridge profile corresponding to the student who shared the badge.

Tracking Engagement from Shared Badges

Given a student has shared their skill badge on social media, when a viewer clicks on the shared badge link, then this action should be logged in the SkillBridge analytics dashboard, providing data on engagement.

Notification for Students on Badge Shares

Given a student has shared their skill badge, when the badge is successfully shared, then the student should receive a notification confirming that their badge has been shared successfully.

Employer Badge Verification

Employers can directly verify the authenticity of a candidate's skill badges through a secure verification mechanism. This builds trust between students and potential employers, ensuring that the skills showcased are genuinely validated. It enhances the employer's confidence in hiring decisions and promotes a level of accountability among learners.

Requirements

Secure Badge Verification

User Story: As an employer, I want to verify the authenticity of a candidate's skill badges so that I can trust that the skills they claim to possess are genuinely validated and will contribute positively to my team.
Description: This requirement entails establishing a secure digital mechanism that allows employers to verify the authenticity of skill badges awarded to candidates. The feature must incorporate encryption and user authentication protocols to ensure that the verification process is both secure and straightforward. This will benefit users by providing a trusted method of badge validation, fostering transparency in hiring processes, and enhancing employer confidence in the credibility of candidates' skills. Integration with the existing framework will allow for real-time badge status checks, contributing to a robust verification ecosystem within the platform.
Acceptance Criteria: Employer initiates badge verification for a candidate during the hiring process.

Given the employer has a candidate's unique badge ID, when they submit it to the verification system, then they should receive a real-time response indicating whether the badge is valid or invalid.

Employer attempts to verify a badge using an expired URL.

Given the employer has an expired verification link for a candidate's badge, when they try to access the link, then they should receive a clear message indicating that the link has expired.

Candidate shares their skill badge with a prospective employer via a secure link.

Given the candidate shares a secure badge link, when the employer accesses this link, then they should be prompted to enter secure authentication details before viewing the badge verification status.

Admin checks the security settings of the badge verification system.

Given the admin is logged into the SkillBridge platform, when they navigate to the badge verification settings, then they should be able to view and modify encryption and authentication protocols.

Employer views the verification history of a candidate's badges.

Given the employer has accessed the candidate's profile, when they click on the verification history tab, then they should see a comprehensive list of all badges verified, including time-stamps and status updates.

System handles high traffic during peak hiring seasons.

Given the badge verification system is under a heavy load during peak hiring times, when multiple requests for verification are made simultaneously, then the system should maintain response times under two seconds without crashing.

User is unable to verify a placeholder or fake badge.

Given the user submits a badge that is either a placeholder or fabricated, when they attempt to verify it through the mechanism, then the system returns a 'badge not found' error promptly.

Employer Dashboard Integration

User Story: As an employer, I want to have a dashboard where I can manage and verify candidates' skill badges easily so that I can streamline my hiring process and make better-informed decisions.
Description: This requirement involves creating a dedicated dashboard for employers on the SkillBridge platform, where they can easily access, manage, and verify candidate skill badges. The dashboard will present a user-friendly interface with features such as batch verification, badge authenticity history, and analytics on skills trends among applicants. This functionality enhances the employer experience by streamlining the verification process, promoting informed hiring decisions, and providing insights on workforce trends. Integration with existing user accounts and notification systems will ensure employers receive updates on badge verifications seamlessly.
Acceptance Criteria: Employer Dashboard displays all candidates with verified skill badges for a specific job application.

Given an employer logs into the SkillBridge platform, when they navigate to the Employer Dashboard, then they should see a list of candidates who have applied for a specific job, along with the verification status of each candidate's skill badges.

Batch verification process for multiple candidates on the Employer Dashboard.

Given an employer is on the Employer Dashboard, when they select multiple candidates and click on the 'Batch Verify' button, then the system should process the verification in real-time and update the status of each candidate's badge verification accordingly.

Employer can access badge authenticity history for a specific candidate.

Given an employer clicks on a candidate's profile, when they view the badge authenticity history section, then they should see a chronological list of all skill badges, including verification dates and statuses for each badge.

Analytics dashboard provides insights on skill trends among applicants.

Given an employer is on the Employer Dashboard, when they navigate to the Analytics section, then they should see visual representations (graphs/charts) of skill trends, including the most common skills among applicants over the last year.

Notification system alerts employers on badge verification statuses.

Given a badge verification status changes, when the employer is logged into the SkillBridge platform, then they should receive an immediate notification alert regarding the change in status of the badge verification.

Seamless integration with existing user accounts.

Given an employer has an existing SkillBridge user account, when they access the Employer Dashboard for the first time, then the system should automatically recognize the employer's account and pre-fill relevant information without requiring additional login steps.

Candidate Badge Management System

User Story: As a candidate, I want to manage my skill badges by linking them to my profile and controlling who can see them, so that I can present my skills in a way that aligns with my career goals.
Description: The Candidate Badge Management System requirement focuses on enabling users (candidates) to have control over their digital badges. This includes the ability to link badges to their profiles, select privacy settings, and manage sharing options with potential employers. By allowing candidates to curate and control their skill displays, this feature will enhance user satisfaction and encourage more engagement with the platform. Additionally, it integrates tools for candidates to request verifications and track verification statuses, making the platform more interactive and user-centric.
Acceptance Criteria: Candidate links their skill badge to their profile during the onboarding process.

Given a candidate is logged in, when they navigate to the badge management section and attempt to link a badge, then the badge should successfully appear on their profile with the correct information displayed.

Candidate adjusts privacy settings for their badges before applying for a job.

Given a candidate is on their profile page, when they change the privacy setting of a badge to 'private', then the badge should not be visible to potential employers viewing the candidate's profile.

Candidate shares their badge with a potential employer via a unique link.

Given a candidate has generated a unique sharing link for their badge, when they send this link to an employer, then the employer should be able to access the badge information and its verification status without any errors.

Employer requests verification for a candidate's badge through the platform.

Given an employer has access to the candidate's badge, when they click on the 'Verify Badge' button, then the system should process the verification request and provide a confirmation message with expected completion time.

Candidate checks the status of their badge verification request.

Given a candidate has submitted a verification request, when they navigate to the verification status section, then they should be able to see the current status along with any relevant comments from the verifier.

The system generates a notification for candidates when their badge has been verified.

Given a badge has been verified, when the verification process is complete, then the candidate should receive a notification via email and within the application informing them of the successful verification.

Candidate revokes access to their badge from a specific employer.

Given a candidate has shared their badge with an employer, when they choose to revoke access, then the employer should no longer be able to view the badge or its details.

Real-time Notification System

User Story: As a user, I want to receive real-time notifications about my badge verification status so that I can stay informed about my progress and respond quickly if any action is required.
Description: This requirement aims to incorporate a real-time notification system that alerts both employers and candidates regarding badge verification updates. Notifications will include successful verifications, requests for additional information, and status changes for badges. This feature enhances communication and ensures that users are informed promptly, fostering a more efficient verification process. Integration with existing notification channels, such as email and in-app alerts, is essential to provide seamless user experience across the platform.
Acceptance Criteria: Employer receives a notification when a candidate's badge verification is successfully completed.

Given an employer is logged into the SkillBridge platform, when a candidate's badge verification is successful, then the employer should receive a real-time notification via the chosen notification channel (email or in-app alert).

Candidate receives a notification when their badge verification request is submitted.

Given a candidate submits a badge verification request, when the submission is successful, then the candidate should receive a real-time notification confirming the request submission through their selected notification channel.

Employer is notified when additional information is requested for badge verification.

Given an employer has a candidate's badge pending verification, when additional information is needed, then the employer should receive a notification that specifies the information required via their preferred notification channel.

Real-time notifications update both candidates and employers on the status of badge verification.

Given that a candidate's badge is in the verification process, when the status changes (e.g., 'pending', 'successful', 'failed'), then both the candidate and employer should receive a notification of the status change in real-time through their selected channels.

Integration with external notification systems like email is functioning correctly.

Given the notification system is integrated with external services, when a badge verification update occurs, then the system should successfully send an email notification that meets the specifications outlined in the requirement.

Failure of badge verification triggers a notification to the candidate with details.

Given that a candidate's badge verification has failed, when the failure occurs, then the candidate should receive a notification that includes the reason for failure and potential next steps via their preferred notification method.

User preferences for notifications can be set and updated effectively.

Given a user wants to set or update notification preferences, when they access notification settings, then they should be able to select their preferred channels (email or in-app) and receive updates accordingly based on those settings.

Analytics and Reporting for Employers

User Story: As an employer, I want to access analytics about skills and badge trends in applicants so that I can refine my recruiting strategies and appeal to the most relevant talent.
Description: This requirement focuses on developing an analytics and reporting module that provides employers with insights into the skills and badge trends among candidates. This module will allow employers to generate reports on the skills most commonly possessed by applicants, the verification rate of badges, and demographics of badge-holders. By equipping employers with these analytics, they can better understand the talent pool and adjust their recruitment strategies accordingly, thereby enhancing the overall effectiveness of their hiring processes.
Acceptance Criteria: Employer analyzes the skills of recent applicants to identify trends and prepare for upcoming recruitment drives.

Given an employer accesses the analytics and reporting module, When they select the option to view skills trends, Then they should see a detailed report of the most common skills possessed by applicants over the past year, with filters for specific roles and timeframes.

Employer generates a report on badge verification rates to assess the authenticity of candidates' skills.

Given an employer navigates to the reporting section of the analytics module, When they request a report on badge verification rates, Then the system should generate a report showing the verification percentage of badges, broken down by skill and demographic information.

Employer wants to compare the demographics of badge holders to tailor their recruitment strategies.

Given an employer chooses to view demographic data of badge holders in the analytics module, When they input the criteria for comparison, Then the system should present a graphical representation of age, gender, and education level of badge holders, allowing for demographic analysis.

Employer checks the analytics module for insights before a hiring event to target specific skill sets.

Given an employer wants to prepare for a hiring event, When they access the analytics module to view specific skills data, Then they should be able to filter skills by proficiency level and sort the results by the number of candidates possessing those skills.

Employer uses the reporting function to track hiring outcomes post-recruitment.

Given an employer wants to evaluate the effectiveness of their recent hiring decisions, When they generate a report on candidates who were hired over the last six months, Then the report should include a comparison of badge verification status and the proficiency levels of the skills indicated by those candidates.

User Feedback Mechanism

User Story: As a user, I want to provide feedback on the badge verification process so that I can contribute to the enhancement of the platform and ensure it meets user expectations.
Description: The User Feedback Mechanism requirement aims to establish a system through which both employers and candidates can provide feedback on the badge verification process. This feature will include simple surveys, ratings, and comment sections, allowing users to express their experiences and suggestions for improvement. Implementing this requirement not only enhances product quality based on user insights but also fosters engagement and trust within the SkillBridge community, demonstrating a commitment to continuous improvement based on user needs.
Acceptance Criteria: Employers can access the badge verification feature and successfully submit feedback regarding the verification process after using it for the first time.

Given that an employer has completed a badge verification, when they select the feedback option, they should be able to submit a survey response with a rating between 1 and 5 and optional comments. Then, the feedback must be recorded and accessible to administrators.

Candidates receive a notification inviting them to provide feedback on their badge experience after an employer verifies their skill badge.

Given that an employer has verified a candidate's skill badge, when the candidate logs into their account, they should see a notification prompting them to provide feedback. Then, the candidate should be able to fill out a survey and submit it successfully within the application.

Administrators review collected feedback from users regarding the badge verification process to identify areas for improvement.

Given that feedback has been submitted by both employers and candidates, when an administrator accesses the feedback section, they should be able to view all submitted feedback clearly organized by date, rating, and user type. Then, a summary report of feedback trends must be generated and made available for review.

The feedback mechanism effectively captures and reports user suggestions for improving the badge verification process.

Given that users have submitted feedback with suggestions, when an administrator reviews the feedback, they should see a designated section for suggestions that is clearly outlined. Then, administrators should be able to categorize and prioritize these suggestions for future development.

Users can edit or delete their feedback on the badge verification process if they choose to make changes after submission.

Given that a user has submitted feedback, when they navigate to their feedback history, they should find options to edit or delete their previously submitted feedback. Then, upon making changes, the system must reflect the updated feedback accordingly without losing the feedback history.

Feedback submissions are anonymous to encourage honesty and transparency from users regarding their experiences.

Given that a user submits feedback, when the feedback is recorded, then it must not display any identifying information about the user, ensuring complete anonymity in the feedback report.

Badge Completion Tracker

Students can track their progress in earning skill badges through a user-friendly progress dashboard. This feature motivates learners by visually representing their achievements and identifying remaining requirements to earn new badges. It supports goal-setting and fosters a sense of accomplishment as students work towards their learning objectives.

Requirements

Progress Dashboard Visualization

User Story: As a student, I want to see my progress visualized on a dashboard so that I can understand what I have achieved and what I need to do next to earn my skill badges.
Description: The progress dashboard visualization requirement entails developing an intuitive, interactive dashboard where students can view their skill badge achievements at a glance. This dashboard should visually represent progress through graphs and metrics, allowing students to easily understand their journey towards badge completion. Moreover, this feature integrates seamlessly with the existing learning management system (LMS) and provides real-time updates as students complete tasks or modules necessary for badge earning. The implementation of this dashboard will motivate learners by providing a clear overview of their accomplishments and guide them in identifying their next steps.
Acceptance Criteria: Student views their progress towards earning a skill badge for completing a specific course module through the progress dashboard.

Given that the student is logged into SkillBridge, when they navigate to the progress dashboard, then they should see a visual representation of their current badge achievements and progress bars indicating completion percentages for each module related to the badge.

Educators want to monitor student progress in real-time as students complete tasks necessary for badge achievements.

Given that educators access the progress dashboard for their class, when students complete a task or module, then the dashboard should update in real-time to reflect changes in student progress and badge status without requiring a page refresh.

Students set a personal goal for badge completion and want to visualize their progress towards that goal.

Given that a student sets a goal for earning a specific badge, when they view their progress dashboard, then they should see a dedicated section displaying percentage completion towards that badge, along with a list of remaining requirements needed to achieve it.

Students seek motivation through their displayed achievements on the progress dashboard.

Given that the student is viewing their progress dashboard, when they look at their badge achievements, then the dashboard should display motivational messages or suggestions based on their current progress, correlating to the number of badges earned.

Students check for notifications regarding updates on their badge status or requirements.

Given that the student is on the progress dashboard, when they check for notifications, then the dashboard should display relevant alerts regarding any updates or changes in badge requirements or module status.

Administrators analyze overall student progress in earning skill badges through aggregate data on the dashboard.

Given that an administrator accesses the progress dashboard, when they choose to view overall metrics, then the dashboard should present summary statistics on badge completion rates, average time taken by students, and other relevant analytics for the group.

Students using the mobile version of SkillBridge want to ensure they can access their progress dashboard on their devices.

Given that a student accesses the SkillBridge platform from a mobile device, when they open the progress dashboard, then the dashboard should be responsive and visually informative, adapting to the screen size without loss of functionality.

Automated Badge Requirement Updates

User Story: As a student, I want to receive automatic updates about badge requirements so that I can stay informed and adjust my learning path accordingly.
Description: This requirement focuses on the automation of badge requirements updates within the platform. As course content is revised or as new skills are identified, students should receive automatic notifications about any changes to the requirements for earning skill badges. This feature enhances user experience by ensuring that students are always informed about their learning objectives and can adapt their study plans accordingly. Additionally, this requires integrating with backend systems to ensure the updates are timely and relevant, fostering an adaptive learning environment that prepares students for changing industry demands.
Acceptance Criteria: Automated Notification of Badge Requirement Updates for Students

Given that a student's course content has been revised, when the changes are made, then the student receives an automatic notification detailing the new badge requirements.

Timely Updates for New Skills Identification

Given that new skills are identified, when the skill update process is triggered, then all students enrolled in related courses receive notifications within 24 hours.

User Interface for Badge Requirement Changes

Given that a badge requirement is updated, when a student accesses the Badge Completion Tracker, then the updated requirements are reflected in the progress dashboard immediately.

Integration with Backend Systems for Real-Time Updates

Given that the backend system is functioning properly, when a badge requirement is updated, then the system processes the change and alerts students without any errors.

User Feedback Mechanism for Update Notifications

Given that a student receives an update notification, when they interact with the notification, then they have the option to provide feedback regarding the clarity and helpfulness of the information.

Notification Preferences for Student Users

Given that students have their notification preferences set, when an update to badge requirements occurs, then notifications are sent according to the student’s chosen preferences (email, SMS, in-app).

Goal-Setting Feature for Badges

User Story: As a student, I want to set personal goals for earning badges so that I can stay motivated and track my progress towards achieving them.
Description: The goal-setting feature allows students to set personal learning objectives related to skill badges directly from the dashboard. By enabling users to create specific, measurable, achievable, relevant, and time-bound (SMART) goals, this requirement aims to enhance student engagement and accountability in their learning journey. Integration with existing progress tracking and notifications systems is essential to remind students of their goals and encourage consistent efforts towards badge completion. This added functionality is expected to lead to higher rates of badge completion and overall student satisfaction with the learning process.
Acceptance Criteria: User sets a personal objective for earning a skill badge from the dashboard.

Given a user is logged into their SkillBridge account, when they navigate to the Badge Completion Tracker and access the Goal-Setting Feature, then they can create a new personal goal using the SMART criteria, which is saved successfully and reflects on their progress dashboard.

User receives reminders about their set goals for badge completion.

Given a user has set a personal objective for earning a skill badge, when the goal's due date approaches, then the system sends a notification to the user reminding them of their goal and encouraging their progress.

User views their progress towards achieving their goals for skill badges.

Given a user has set multiple goals for earning skill badges, when they check the progress dashboard, then they should see a visual representation of their progress for each goal, including completion percentage and remaining tasks to achieve those badges.

User updates an existing goal for badge completion.

Given a user has a pre-existing goal for earning a skill badge, when they choose to edit this goal from their dashboard, then they are able to change any of the goal parameters and the updated goal is reflected accurately in the system.

User deletes a personal goal for badge completion.

Given a user has set a personal goal for earning a skill badge, when they decide to delete this goal from their dashboard, then the goal is removed, and the user receives a confirmation message indicating the deletion was successful.

User filters and sorts their goals based on different criteria.

Given a user has multiple goals set, when they access the Goal-Setting Feature, then they should be able to filter and sort their goals by criteria such as completion status and due date.

Social Sharing Capability for Achievements

User Story: As a student, I want to share my earned badges on social media so that I can celebrate my achievements with my friends and inspire others to participate in the platform.
Description: The social sharing capability for achievements allows students to share their earned badges on social media platforms and within community forums. This feature is designed to enhance the sense of accomplishment and community engagement among learners. By integrating with major social media networks, students can showcase their achievements and invite feedback from peers, thereby fostering a supportive learning environment. This requirement is deemed crucial as it may also serve as a marketing tool for SkillBridge, helping to attract new users through visible student success stories.
Acceptance Criteria: Social Media Sharing of Badges Successfully Completed

Given a student has earned a badge, when they select the 'Share on Social Media' button, then the badge should be posted to their connected social media account with the correct badge image and description.

User Feedback on Shared Achievements

Given a student shares their badge on social media, when their peers view the post, then at least three engagement actions (likes, comments, or shares) should be recorded within 24 hours to measure community interaction.

Integration with Major Social Networks

Given a student wants to share a badge, when they click to share, then the system must display seamless integration options for Facebook, Twitter, and LinkedIn without errors or delays.

Badge Visualization on Dashboard After Sharing

Given a student has shared a badge on social media, when they return to the Badge Completion Tracker dashboard, then the shared badge should still be visible with an updated status indicating it has been shared.

Privacy Settings for Social Sharing

Given a student has privacy concerns, when they access social sharing settings, then the option to customize which badges can be shared publicly or kept private should be clearly available and functional.

User Incentives for Sharing Achievements

Given a student shares their achievements on social media, when this occurs, then the system must reward the student with a digital token or points as a recognition of their sharing action.

Mobile Accessibility for Badge Tracking

User Story: As a student, I want to access my badge progress on my mobile device so that I can track my achievements anytime and anywhere.
Description: This requirement emphasizes the need for mobile accessibility to enable students to track their badge progress using mobile devices. The mobile version of the progress dashboard should be fully responsive, ensuring that all functionalities are seamlessly accessible on smartphones and tablets. This feature aligns with the goal of providing flexible learning opportunities and caters to the increasing number of users who prefer mobile devices for their educational activities. Ensuring good performance and user experience on mobile can boost user engagement and retention for SkillBridge.
Acceptance Criteria: Mobile users access the Badge Completion Tracker on their smartphones to check their progress and view badges earned.

Given a mobile device, when the user navigates to the Badge Completion Tracker, then the dashboard must load fully within 3 seconds, and all functionalities must be accessible.

Students use the mobile version of the Badge Completion Tracker to view detailed information about each skill badge they are working towards.

Given a mobile device, when the student clicks on a specific badge, then the detailed information page including requirements and progress must display correctly without any layout issues.

A student checks their progress towards earning a new badge on a tablet while attending a workshop.

Given a tablet, when the user interacts with the progress dashboard, then the tracking bar must visually indicate percentage completion with appropriate labeling of remaining steps and badges earned.

Learners compare their badge progress with peers while using their mobile devices during an interactive session.

Given a mobile device, when the user accesses the comparison feature, then the comparison must load in under 3 seconds and be visually clear, presenting accurate and current data of badges against peers.

Students navigate the Badge Completion Tracker on their smartphones with varying screen sizes to ensure responsive design.

Given different screen sizes, when the user accesses the dashboard, then all elements must be appropriately adjusted without loss of functionality, meaning no horizontal scrolling is required.

A student receives notifications on their mobile device about updated badge requirements for completion.

Given the Badge Completion Tracker, when badge requirements change, then students must receive a mobile notification within 5 minutes of the update being made.

Students sharing their badge achievements on social media directly from their mobile device.

Given a completed badge, when the student selects the share option, then the social media share functionality must activate and allow for successful posting of the badge image and description without errors.

Peer Recognition System

This feature allows students to recognize and endorse their peers for specific skills, enhancing community engagement within SkillBridge. By fostering a culture of mutual recognition, students can validate each other's competencies, which boosts morale and encourages collaboration among learners.

Requirements

Skill Endorsement Functionality

User Story: As a student, I want to endorse my peers for their skills so that I can help them build a credible profile and foster a collaborative learning environment.
Description: The Skill Endorsement Functionality allows students to nominate and endorse their peers for specific skills, integrating a peer validation process within the SkillBridge platform. This feature enhances the credibility of individual skill sets by providing a democratic way of recognition where students can endorse one another's abilities based on actual performance and collaborations in projects or discussions. It promotes community engagement, strengthens relationships among learners, and boosts the sense of belonging within the platform, thereby increasing student morale and motivation to engage actively in their learning journey.
Acceptance Criteria: Student Endorses a Peer for a Skill after Completing a Group Project.

Given that a student has completed a group project with their peers, when they access the peer recognition system, then they should be able to endorse a fellow student for a specific skill demonstrated during the project.

Student Receives a Notification for Endorsements.

Given that a student has been endorsed by a peer, when they log in to their SkillBridge account, then they should receive a notification indicating that they have received a new endorsement.

Endorsement Count Reflects on Student Profiles.

Given that a student has received endorsements, when their profile is viewed by others, then the endorsement count should accurately reflect the total number of endorsements received for each skill.

Students Can View a List of Their Endorsements.

Given that a student has received endorsements, when they navigate to their profile, then they should see a section displaying the list of endorsements they have received along with the endorsing peers and the specific skills endorsed.

Endorsement Process Tracks Engagement Levels.

Given that a student endorses a peer for a skill, when the endorsement is submitted, then the system should log the endorsement as an engagement activity for both the endorsing and endorsed students.

Endorsements Are Only Valid for Completed Skills.

Given that a student attempts to endorse a peer, when the peer has not completed the required competency for the endorsed skill, then the system should prevent the endorsement and display an error message.

Students Can Withdraw Their Endorsement.

Given that a student has previously endorsed a peer, when they go to the endorsements section of their profile and select an endorsement to withdraw, then the system should remove the endorsement and update the count accordingly.

Recognition Dashboard

User Story: As a student, I want to see a dashboard of my endorsements and those I have given so that I can track my recognition and understand my peers' skills better.
Description: The Recognition Dashboard will display all endorsements received and given by each student, providing a transparent view of the peer recognition process. This dashboard will include features such as filters to view endorsements by skill type, notifications for received endorsements, and statistics showcasing the most endorsed skills or peers. This visibility not only encourages students to recognize each other but also helps them identify skill trends within their peer group and motivates them to focus on developing those skills further.
Acceptance Criteria: Viewing Endorsements Summary

Given a student is logged into the SkillBridge platform, When they navigate to the Recognition Dashboard, Then they should see a summary of all endorsements they have given and received, clearly categorized by skill type, with notification alerts for new endorsements.

Filtering by Skill Type

Given a student is on their Recognition Dashboard, When they apply the filter for a specific skill type, Then only endorsements related to that selected skill type should be displayed, along with an option to reset the filter.

Statistics Display

Given a student accesses their Recognition Dashboard, When the page loads, Then the student should see the most endorsed skills and peers highlighted prominently, with quantitative statistics reflecting the number of endorsements for each.

Receiving Notifications for Endorsements

Given a student has received endorsements from peers, When they are logged into the SkillBridge platform, Then they should receive real-time notifications for each new endorsement received.

Endorsement Feedback Mechanism

Given a student has given an endorsement to a peer, When they revisit the Recognition Dashboard, Then they should see a confirmation message that the endorsement has been successfully recorded.

Dashboard User Interface Consistency

Given a student accesses the Recognition Dashboard, When the dashboard is displayed, Then the user interface should be consistent with other areas of the SkillBridge platform, including color schemes, fonts, and navigation elements.

Accessibility Compliance of the Dashboard

Given a student with accessibility needs accesses the Recognition Dashboard, When the dashboard is loaded, Then it should comply with WCAG 2.1 standards, ensuring it is usable with screen readers and keyboard navigation.

Endorsement Analytics Module

User Story: As an educator, I want to access analytics on skill endorsements so that I can understand skill gaps and strengths within my students for better course alignment.
Description: The Endorsement Analytics Module will analyze trends in peer endorsements to provide insights into skill development within the student community. This module will report metrics such as the most recognized skills, active endorsers, and areas needing improvement. By leveraging analytics, educators and students can align their learning paths and project focus based on peer recognition trends, ensuring that the skills developed are in demand and relevant. Thismodule fosters an environment of continuous feedback and skill enhancement.
Acceptance Criteria: User views a report of peer endorsements on the SkillBridge platform to identify the most endorsed skills among their peers.

Given the user is logged into SkillBridge, when they access the endorsement analytics report, then they should see a list of the top 5 most recognized skills with corresponding endorsement counts.

A student aims to enhance their learning path based on the analytics provided by the Endorsement Analytics Module.

Given the user selects a skill from the endorsement analytics, when they view the detailed analysis, then they should see the trend data for that skill over the past month, including the number of endorsements and comments associated with it.

The educator is preparing a presentation on skill development trends using the analytics gathered from peer endorsements.

Given the educator accesses the endorsement analytics dashboard, when they generate a skill development report, then the report should include key metrics such as active endorsers, skills needing improvement, and learner engagement levels.

Both educators and students wish to receive notifications about skill endorsement trends relevant to their learning paths.

Given the user subscribes to the endorsement analytics notifications, when a new endorsement trend is detected for their selected skills, then they should receive an email notification detailing the updates.

A student wants to confirm their top endorsed skills are reflected in their personal learning analytics.

Given the student has received endorsements from peers, when they view their learning analytics profile, then it should accurately display the skills endorsed by others along with the endorsement count.

An educator uses the Endorsement Analytics Module to adjust a course curriculum based on trending skills.

Given the educator reviews the analytics report, when they make changes to the curriculum, then the updated course should focus on the top 3 skills that have received the most endorsements in the last quarter.

Peer Recognition Notifications

User Story: As a student, I want to receive notifications when I get endorsed so that I feel appreciated and motivated to recognize others too.
Description: The Peer Recognition Notifications feature will notify students when they receive endorsements from their peers. Notifications can be tailored based on user preferences (like email, app alerts, etc.) to ensure timely and relevant acknowledgment of each endorsement. By keeping students informed, they remain engaged and encouraged to participate in the endorsement process, fostering a culture of recognition and support among users.
Acceptance Criteria: User receives a notification through the app for an endorsement they received from a peer.

Given a user has received a peer endorsement, when they open the SkillBridge app, then a notification should appear in the notifications section with details of the endorsement including who endorsed them and the specific skill endorsed.

User customizes their notification preferences for peer endorsements.

Given a user navigates to the notification settings, when they select their preferred methods of notification for peer endorsements and save the settings, then the system should successfully update and reflect these preferences in the user's account settings.

User receives an email notification for a peer endorsement based on their preferences.

Given a user has opted to receive email notifications for peer endorsements, when they receive an endorsement, then the user should receive an email notification containing the details of the endorsement, including the endorsing peer's name and the endorsed skill.

User receives a push notification for a peer endorsement while using the app.

Given a user has enabled push notifications, when a peer endorsement is made, then the user should receive a real-time push notification on their mobile device with a message about the endorsement.

User views a history of received endorsements and notifications.

Given a user wants to review their past endorsements, when they navigate to the endorsement history section, then they should see a complete list of all received endorsements, along with the timestamps and methods of notification.

User receives a notification for multiple endorsements received in a single day.

Given a user has received multiple endorsements on the same day, when they check their notifications, then they should see a combined notification summarizing the endorsements received, including the names of peers and the skills endorsed.

User can report an endorsement as inappropriate.

Given a user has received an endorsement that they deem inappropriate, when they click the 'Report' button on the endorsement notification, then the system should allow them to submit a report and acknowledge the report submission with a confirmation message.

Integration with User Profiles

User Story: As a student, I want my endorsements to display on my user profile so employers can see my validated skills by my peers.
Description: The Integration with User Profiles requirement will incorporate the endorsements into each student's profile, showcasing their endorsed skills prominently. This integration helps to create a comprehensive view of a student’s competencies, validating their skill sets in the context of the platform. It serves not only as a form of recognition but also as a tool for prospective employers and educators to assess candidates based on peer feedback, thus emphasizing the importance of collaborative learning and community validation in professional settings.
Acceptance Criteria: Students can access their User Profiles to view the new Peer Recognition endorsements listed under their skills section.

Given a student is logged in, when they navigate to their User Profile, then they must see a section for 'Endorsed Skills' displaying all skills recognized by their peers.

Students seamlessly receive a notification upon peer recognition for a skill endorsement, enabling them to view it instantly.

Given a student receives a peer endorsement, when the endorsement is made, then the student should receive a real-time notification on their dashboard.

Employers can view a student's profile to assess endorsed skills as part of their evaluation process.

Given an employer is viewing a student's profile, when they check the 'Endorsed Skills' section, then they must see a list of endorsed skills along with the number of endorsements received.

Students can view detailed information about each of their endorsed skills, including who endorsed them.

Given a student is on their User Profile, when they click on an endorsed skill, then they must see a pop-up displaying details of the endorsers and their comments (if any).

The Peer Recognition System automatically updates endorsements in the User Profile without requiring user refresh or action.

Given a student receives a new endorsement, when this happens, then the User Profile should reflect the updated endorsements in real-time without requiring a page refresh.

Educators can filter students based on the number of peer endorsements received for specific skills.

Given an educator is viewing the list of students, when they apply a filter for 'Endorsed Skills', then the list must show students with the selected number of endorsements for relevant skills.

Gamification Elements for Recognition

User Story: As a student, I want to earn badges for recognizing my peers so that I can showcase my involvement and contribution to the community.
Description: Gamification Elements for Recognition will introduce badges and achievement levels for students based on their engagement in the peer recognition process. Students can earn rewards or recognition for endorsing others, receiving endorsements, and participating in the community. This gamification not only makes the endorsement process more engaging but also encourages active participation and fosters a positive learning atmosphere, motivating students to be more involved in their personal and peer development.
Acceptance Criteria: Peer Recognition through Skill Endorsement

Given a student views their peer's profile, when they click on the 'Recognize' button, then they should be able to select at least one skill to endorse and provide a short comment, confirming the recognition has been submitted successfully.

Badge Earning for Peer Endorsements

Given a student has received five endorsements for their skills, when they check their badge collection section, then they should see the 'Recognized Contributor' badge appear in their account.

Achievement Levels for Participation in Peer Recognition

Given a student participates in the peer recognition process by giving endorsements, when they perform endorsements fifteen times, then their achievement level should increase from 'Novice' to 'Expert' within the system.

Feedback Collection from Recognized Students

Given a student has been endorsed by peers, when they navigate to the feedback section, then they should be able to see the comments and feedback provided by their peers along with the total count of endorsements received.

Notification System for New Recognitions

Given a student is endorsed by their peers, when they log into their account, then they should receive a notification alerting them of new recognitions they have achieved, including details of who recognized them and for what skills.

Tracking Engagement Metrics for Gamification

Given the gamification system is implemented, when a report is generated, then it should display metrics on the number of endorsements given, total unique participants, and the average number of endorsements received per student for analytics purposes.

Visibility of Badges on Student Profiles

Given a student has earned badges through the peer recognition system, when someone views their profile, then the badges should be prominently displayed on their profile page, showcasing their achievements.

Analytics Dashboard

An analytics dashboard provides students with insights into how their skill badges are perceived by employers, including views, shares, and endorsements. This data-driven feedback enables learners to understand their marketability and adjust their learning paths accordingly, enhancing their employability through informed decisions.

Requirements

Real-time Analytics Update

User Story: As a student, I want to receive real-time updates on how my skill badges are performing in the job market so that I can adjust my learning path and improve my marketability based on employer feedback.
Description: The Real-time Analytics Update requirement involves the implementation of a feature that provides students with real-time data regarding their skill badges' performance in the job market. This includes metrics such as the number of views, shares, and endorsements received from potential employers. This requirement is crucial as it enables learners to receive timely insights into their marketability, helping them adjust their learning paths based on current trends and interests of employers. As a result, this feature enhances user engagement and empowers students to make informed decisions about their education and career trajectory, ultimately increasing their employability rates.
Acceptance Criteria: User views the analytics dashboard to check the performance of their skill badges after completing a course.

Given the user is logged into their SkillBridge account, when they navigate to the analytics dashboard, then they should see real-time metrics that include the number of views, shares, and endorsements for their skill badges.

Students receive notifications about significant changes in the performance of their skill badges over time.

Given that a student's skill badge metrics are updated, when the metrics increase or decrease by 20% or more, then the system should send a notification to the student informing them of the change.

A student wants to compare their skill badge performance over a month to identify trends and adjust their learning path accordingly.

Given the user selects a date range on the analytics dashboard, when they view the performance metrics, then they should see a graphical representation of views, shares, and endorsements for each badge over that period.

Students want to understand how many employers have interacted with their skill badges in the last quarter.

Given that the student accesses the analytics dashboard, when they select the 'Quarterly Performance' option, then they should see detailed statistics of employer interactions, including a breakdown of views and endorsements received during that quarter.

Users seek actionable insights based on the performance of their skill badges to enhance their employability.

Given that the analytics dashboard shows low performance metrics for a skill badge, when users hover over the badge, then they should receive recommendations for related courses or skills to improve their marketability.

A corporate trainer wants to analyze how well the skill badges linked to their courses are performing in the job market.

Given the corporate trainer is logged into their SkillBridge account, when they access the analytics dashboard, then they should be able to filter the performance data by each course linked to the skill badges and see relevant employer engagement statistics.

Skill Badge Comparison Tool

User Story: As a student, I want to compare my skill badges with industry standards and my peers so that I can identify areas for improvement and choose appropriate additional training.
Description: The Skill Badge Comparison Tool requirement focuses on creating a feature that allows students to compare their skill badges with industry standards and those of their peers. This tool will provide a clear visual representation of how a student's qualifications measure up against competitors in the job market. By integrating benchmarking metrics, the system can indicate areas for improvement and suggest additional courses or training that align with industry demands. This functionality is vital in equipping students with the knowledge they need to enhance their skill sets and remain competitive in their fields.
Acceptance Criteria: Student compares their skill badge for data analysis with industry standards and peer badges to identify strengths and weaknesses.

Given a student accesses the Skill Badge Comparison Tool, When they select the data analysis badge, Then the tool displays a comparison chart showing their badge attributes versus industry standards and peer badges.

User filters the comparison results by specific industries to identify relevant skill demands.

Given the comparison chart is displayed, When the user selects a specific industry filter, Then the chart updates to show only the relevant comparisons for that industry.

Student receives suggestions for additional courses based on the comparison results.

Given the comparison results indicate skill gaps, When the student views their comparison, Then the system suggests at least three applicable courses to address these gaps.

Employer views students’ skill badges to evaluate their employability.

Given an employer accesses the analytics dashboard, When they select a specific skill badge, Then they can view its market perception including views, shares, and endorsements.

Student sets a personal goal based on the comparison results.

Given the comparison results are visible, When a student identifies a skill area for improvement, Then they can set a personal goal and track their progress towards that goal within the platform.

A teacher assesses multiple students' skill badges for curriculum improvement.

Given a teacher accesses the comparison data for their class, When they view the aggregated comparison results, Then they can identify common skill gaps and adjust curriculum offerings accordingly.

Course Recommendation Engine

User Story: As a student, I want personalized course recommendations based on my skill gaps and performance so that I can improve my employability and align my learning with market demands.
Description: The Course Recommendation Engine requirement will leverage AI algorithms to analyze students' performance metrics, skill gaps, and market trends to provide personalized course recommendations for each user. This engine will take into account individual learning styles and career goals to deliver tailored suggestions that enhance students' skills and overall employability. By doing so, the feature not only promotes targeted learning but also gives users confidence in their educational journey, enabling them to make choices that align with their career aspirations and market needs.
Acceptance Criteria: User accesses the Course Recommendation Engine after completing their initial skill assessment and review of current skills and goals.

Given a student has completed the skill assessment, when they access the Course Recommendation Engine, then they should receive personalized course recommendations based on their skill gaps and learning preferences within 5 seconds.

User updates their career goals in their profile settings and re-runs the recommendation process.

Given a user updates their career goals, when they run the Course Recommendation Engine, then the recommendations should reflect the updated goals and show at least 3 new courses relevant to the new objectives.

User reviews the course recommendations provided by the Course Recommendation Engine.

Given a user receives course recommendations, when they view the recommendations, then they should be able to see at least 5 distinct courses with skill relevance percentages clearly displayed for each course.

User selects a recommended course and enrolls in it through the Course Recommendation Engine.

Given a user selects a course from the recommendations, when they click enroll, then they should be successfully enrolled and redirected to the course dashboard within 3 seconds.

User views their dashboard to monitor progress and updates from the Course Recommendation Engine.

Given a user accesses their analytics dashboard, when they view their progress, then they should see a visual representation of the impact of completed courses on their skill development and employability metrics.

User provides feedback on the relevance of course recommendations received from the Course Recommendation Engine.

Given a user receives course recommendations, when they complete a feedback survey on the suggestions, then the feedback should be recorded and acknowledged within the system successfully with a confirmation message.

The system updates recommendations based on changing market trends and skills demand.

Given that the Course Recommendation Engine is based on real-time data, when market trends change, then the recommendations should be updated accordingly and reflect the latest in-demand skills within a 24-hour period.

Employer Feedback Integration

User Story: As a student, I want to receive direct feedback from employers on my skill badges so that I can understand how to improve and tailor my skills to meet market expectations.
Description: The Employer Feedback Integration requirement aims to create a mechanism for employers to provide direct feedback on students' skill badges. This feature will collect qualitative data through surveys or ratings and showcase this feedback in the analytics dashboard for students to view. By making this feedback transparent, students can gain actionable insights into how to improve their skills and meet employer expectations. This functionality enhances the learning experience, fostering a connection between education and industry needs, making it easier for students to become job-ready.
Acceptance Criteria: Employer Feedback Submission and Display for Students

Given an employer has access to the SkillBridge platform, when they provide feedback on a student’s skill badge through a structured survey, then the feedback should be successfully submitted and displayed on the analytics dashboard for that student in real-time.

Visual Representation of Employer Feedback

Given that feedback has been submitted by employers, when a student views their analytics dashboard, then they should be able to see a graphical representation of the feedback, including total endorsements, shares, and qualitative comments, presented clearly and understandably.

Feedback Adjustments Based on Employer Ratings

Given that employers can rate skill badges on a scale of 1 to 5, when a feedback score is provided, then the system should adjust the visibility or recommendations of those skill badges in the analytics dashboard based on their average rating (e.g., badges rated 4 and above are highlighted as strong skills).

Notifications for New Feedback

Given a student has an active account on SkillBridge, when new feedback is received from employers regarding their skill badges, then the student should receive a notification on their dashboard indicating that new feedback is available to view.

Periodic Summary of Employer Feedback

Given multiple employers have submitted feedback on a student's skill badges, when the student accesses their analytics dashboard, then they should see a periodic summary of feedback including trends over time, such as improvements or declines in ratings.

Feedback Integration for Career Guidance

Given students are able to view employer feedback on their skill badges, when the feedback indicates a common area for improvement, then actionable tips or recommended learning paths should be suggested to the students to enhance their skills in that area.

Mobile Access to Analytics Dashboard

User Story: As a student, I want to access my analytics dashboard on my mobile device so that I can monitor my skill badge performance anytime and anywhere.
Description: The Mobile Access to Analytics Dashboard requirement involves developing a mobile-friendly version of the analytics dashboard that enables students to view their skill badge performance on their smartphones or tablets. This feature will allow users to access vital information anytime and anywhere, promoting continuous engagement and allowing for on-the-go decision making regarding their educational paths. Given the increasing reliance on mobile devices, ensuring that this information is readily available will enhance user satisfaction and facilitate better overall learning outcomes.
Acceptance Criteria: Students access the mobile-friendly version of the analytics dashboard while commuting to review their skill badge performance and make informed decisions about upcoming training sessions.

Given that the student has a stable internet connection, when they open the analytics dashboard on their mobile device, then they should see real-time updates of their skill badge performance, including views, shares, and endorsements.

Students attending a workshop event want to check how many employers have viewed their skill badges during the event using their mobile devices.

Given that the student is logged into their account, when they navigate to the analytics dashboard on their mobile device, then all relevant skill badge metrics should be displayed without any lag or loading issues.

A student is at a career fair and wants to quickly adjust their learning path based on their skill badge feedback accessed through the mobile analytics dashboard.

Given that the user has accessed their skill badge insights, when they click on a specific badge, then they should be presented with detailed analytics and recommended courses to improve their skill set related to that badge.

A student receives a notification about updates to their skill badges and wants to review the changes using their mobile device before their next class.

Given that the student has received a notification on their mobile device, when they tap on the notification, then they should be redirected to the updated analytics dashboard displaying the latest information without errors.

Students who are studying abroad use the mobile analytics dashboard to monitor their skill badges' marketability in a different country.

Given that the student is in a foreign country, when they access the analytics dashboard, then they should have the same access and functionality as if they were on their home network, including data accuracy.

Dynamic Frequency Adjuster

This feature customizes the frequency of assessments based on the learner's pace and comfort level. By analyzing progress and response patterns, it ensures that students receive assessments at optimal times, promoting retention and confident skill acquisition.

Requirements

Adaptive Assessment Scheduling

User Story: As a learner, I want assessments to be scheduled based on my pace so that I can feel more confident and prepared for each test.
Description: The Adaptive Assessment Scheduling requirement involves creating a system that customizes the timing and frequency of assessments based on each learner’s unique progress and comfort level. By analyzing real-time data on learner performance and engagement, the system will dynamically adjust assessment schedules. This ensures that assessments occur when students are most prepared to take them, thereby promoting better retention of knowledge and a more positive learning experience. The implementation of this feature is crucial for fostering a tailored learning environment that adapts to individual learners' needs, ultimately enhancing skill acquisition and confidence in their abilities.
Acceptance Criteria: Learner receives a dynamically adjusted assessment schedule based on their last performance and engagement metrics.

Given a learner has completed a set of modules, when their performance indicates mastery with high engagement, then the system should schedule the next assessment within one week.

Learning platform analyzes real-time performance data to customize assessment frequency for learners.

Given a learner's current pace is below the expected threshold, when the analytics engine processes their performance data, then the system should increase the assessment frequency to twice a week until improvement is noted.

Assessment scheduling is communicated effectively to learners through the platform interface.

Given an assessment has been scheduled for a learner, when they log into the platform, then they should see a notification on their dashboard reflecting the upcoming assessment date and time.

Feedback on learner progress triggers adaptive modifications to the assessment schedule.

Given a learner has consistently performed poorly on assessments, when they complete three consecutive assessments below the passing criteria, then the system should delay the next assessment by two weeks.

Adjustments to assessment timing are based on learner’s comfort level with the material.

Given a learner reports feeling unprepared via a feedback feature, when the system receives this feedback, then it should postpone the next scheduled assessment by at least one week.

System provides analytics for educators to monitor scheduling effectiveness.

Given assessments have been adjusted over a period of time, when an educator views the analytics dashboard, then they should see data reflecting the average time taken for learners to complete assessments and the completion rate.

Learner's engagement in interactive components impacts their assessment schedule positively.

Given a learner actively participates in supplementary activities provided, when their engagement surpasses a set threshold, then the system should reward them with an earlier assessment opportunity to showcase their skills.

Performance Analytics Dashboard

User Story: As an educator, I want to see a dashboard that shows learner performance metrics so that I can adjust my teaching approach based on their needs.
Description: The Performance Analytics Dashboard requirement encompasses the development of a user-friendly interface that provides educators and corporate trainers with real-time analytics on learner performance and assessment outcomes. This dashboard will pull data from completed assessments and ongoing learning activities to present insights into each learner’s progress, strengths, and areas for improvement. By visualizing this data in a clear and accessible manner, stakeholders can make informed decisions regarding instructional strategies and content adjustments, maximizing the effectiveness of the learning path for each individual.
Acceptance Criteria: Performance Insights on Learner Progress Data

Given a set of completed assessments and ongoing learning activities, when the educator accesses the dashboard, then they should see visual representations of each learner's progress, including scores and completion rates over time.

Analysis of Strengths and Areas for Improvement

Given that the educator is viewing the performance analytics dashboard, when they select a specific learner, then they should see a breakdown of that learner's strengths and areas for improvement clearly highlighted with graphical indicators.

Real-time Data Refresh

Given the performance analytics dashboard is loaded, when a new assessment or learning activity is completed, then the dashboard should refresh automatically to show the updated analytics within 5 seconds.

Customizable Reporting Features

Given the dashboard is open, when the educator chooses to customize the report settings, then they should be able to filter data by date ranges, assessment types, and individual learners.

Exporting Data for Offline Analysis

Given the dashboard provides performance insights, when an educator selects the export option, then they should be able to download the performance analytics in a CSV format for offline analysis.

User-Friendly Interface Validation

Given the performance analytics dashboard is accessed, when the users navigate through the interface, then they should complete specific tasks (viewing analytics, generating reports) without encountering usability issues or understanding errors.

Skill-Gap Identification Tool

User Story: As a corporate trainer, I want a tool that shows me which skills learners are struggling with so that I can provide targeted support and resources.
Description: The Skill-Gap Identification Tool requirement aims to create a feature that identifies specific skill deficits for each learner based on their assessment results and real-time interactions with the learning platform. By utilizing AI-driven analytics, this tool will provide personalized recommendations on the skills that need further development, aligning the learner’s focus with industry demands. The implementation of this feature will allow both educators and learners to prioritize learning objectives, ensuring that the training is relevant and targeted toward filling gaps in knowledge and skills.
Acceptance Criteria: Skill gap identification for a learner completing a programming module.

Given a learner has completed the programming module assessment, When the Skill-Gap Identification Tool analyzes the assessment results, Then it should identify specific skill deficits such as 'Object-Oriented Programming' and provide tailored recommendations to improve these skills.

Educator review of skill gaps for a group of learners on a marketing course.

Given an educator is reviewing skill gaps for a group of learners who completed a marketing course, When they access the Skill-Gap Identification Tool, Then it should display a report highlighting the top three skill deficits common among the group and suggest target resources for each skill.

Real-time identification of skill gaps during interactive learning activities.

Given a learner is engaging in real-time interactive learning activities, When the Skill-Gap Identification Tool processes their interactions, Then it should provide immediate feedback on skill gaps and suggest relevant practice tasks aimed at those gaps.

Tracking progress on skill development after recommendations are implemented.

Given a learner has received skill-gap recommendations, When they complete follow-up assessments, Then the Skill-Gap Identification Tool should show an improvement in identified skill deficit areas based on assessment results, indicating effective skill acquisition.

Monitoring the effectiveness of skill-gap identification tool over time.

Given an administrator wants to evaluate the effectiveness of the Skill-Gap Identification Tool, When they analyze the metrics over a semester, Then they should see a measurable increase in learner achievement scores associated with the tool's recommendations.

User satisfaction feedback from learners using the skill-gap identification tool.

Given learners have utilized the Skill-Gap Identification Tool, When they provide feedback through an integrated survey, Then at least 75% of responses should indicate satisfaction with the tool's accuracy and usefulness in identifying their skill gaps.

Customization options for educators to adjust tool settings based on learner profiles.

Given an educator wants to customize the Skill-Gap Identification Tool settings, When they access the customization options, Then they should be able to adjust parameters such as skill weightings and assessment frequency to fit the specific needs of their students.

Personalized Learning Pathways

User Story: As a learner, I want a personalized learning path that adapts to my progress and learning style so that I can learn more efficiently.
Description: The Personalized Learning Pathways requirement focuses on creating tailored learning experiences based on the unique journey of each learner. By collecting data on individual performance, preferences, and goals, this feature will facilitate the design of personalized learning paths that adapt as the learner progresses. This approach not only keeps learners engaged but also maximizes their potential by ensuring relevant content is delivered at the right time, in a format that suits their learning style. This feature is essential for enhancing learner satisfaction and improving overall educational outcomes.
Acceptance Criteria: Learner completes a module and their performance is analyzed to adjust their personalized learning pathway.

Given a learner finishes a module, when their performance data is analyzed, then the learning pathway is updated to reflect new goals and recommended resources within 24 hours.

A learner requests feedback on their progress and the system generates a tailored report.

Given a learner requests a progress report, when the request is submitted, then the system provides a detailed report outlining skills acquired, areas for improvement, and next steps within 5 minutes.

An educator reviews learner progress and modifies content based on engagement levels and performance metrics.

Given an educator accesses the learner progress dashboard, when they review engagement and performance data, then they can adjust content delivery methods and topics to better suit learner preferences, and the changes reflect within 30 minutes.

The Dynamic Frequency Adjuster proposes a new assessment schedule for a learner based on their recent interactions.

Given the Dynamic Frequency Adjuster analyzes a learner's recent interactions and performance, when it determines an optimal assessment schedule, then it generates a new schedule that aligns with the learner’s pace, providing a notification to the learner and the educator within 10 minutes.

The system stores and analyzes a learner's preferred learning styles and adjusts content accordingly.

Given a learner’s preferences are recorded, when they engage with content, then the system adapts future content delivery to match the learner's preferred styles (e.g., visual, auditory) with a success rate of over 85% based on user satisfaction surveys.

A corporate trainer reviews skill-gap analyses to create targeted training sessions.

Given a corporate trainer accesses the skill-gap analysis report, when they select skills to address, then the system allows them to create tailored training sessions that align with learner needs within 15 minutes.

Real-time feedback is provided to learners after assessments to improve learning outcomes.

Given a learner completes an assessment, when the assessment is submitted, then the system provides immediate, personalized feedback highlighting strengths, weaknesses, and recommended next steps within 2 minutes.

Instant Feedback Mechanism

User Story: As a learner, I want to receive immediate feedback on my assessments so that I can understand my mistakes and improve my learning on the spot.
Description: The Instant Feedback Mechanism requirement entails developing a feature that provides immediate feedback to learners after they complete assessments. This feedback will include detailed explanations of correct and incorrect answers, enabling learners to understand their mistakes and learn from them in real time. The goal is to enhance skill retention and comprehension through timely interventions that reinforce learning. This feature supports a self-directed learning approach where students can engage with content continuously and iteratively without waiting for formal grading periods.
Acceptance Criteria: Learner completes an assessment on the SkillBridge platform after studying relevant materials.

Given the learner has completed an assessment, when they submit their answers, then they should receive immediate feedback with detailed explanations for each question, highlighting correct and incorrect responses.

A learner struggles with a specific concept reflected in their assessment results over time.

Given the learner consistently scores below a threshold on related questions, when they receive feedback, then the comments should include suggestions for additional resources or study materials to address the knowledge gap.

An educator wants to monitor the effectiveness of the Instant Feedback Mechanism.

Given an educator accesses the analytics dashboard, when they review the feedback response data, then they should see metrics reflecting the percentage of learners engaging with the feedback and improvement in subsequent assessments.

A learner revisits a previous assessment to review the feedback provided.

Given the learner selects a past assessment, when they view the feedback, then they should see the same detailed explanations and suggestions for improvement as initially provided after the assessment submission.

The platform is integrated with external systems for educational analytics.

Given that an assessment is completed, when feedback is generated, then the data should be compatible with integration APIs to be shared with external analytics tools without loss of detail or formatting.

Training sessions are being adjusted based on feedback from learners.

Given the feedback received from multiple learners, when trends indicate a common misconception, then the training materials should be updated to address this misconception proactively.

Adaptive Difficulty Scaling

Adaptive Difficulty Scaling adjusts assessment questions and tasks in real-time based on the learner's performance. By calibrating the challenge level, it keeps learners engaged and motivated, allowing them to progress at an appropriate pace without feeling overwhelmed.

Requirements

Real-time Performance Analysis

User Story: As a learner, I want to receive instant feedback on my performance so that I can understand my strengths and areas for improvement.
Description: Real-time Performance Analysis will provide instantaneous insights into a learner's performance during assessments. Using a combination of AI and analytics, this feature will track the learner's responses, identify patterns, and suggest adaptations to the difficulty of the questions in real-time. The goal is to ensure that learners remain engaged, not overwhelmed, and thus improve retention and mastery of skills. This feature will be seamlessly integrated into the Adaptive Difficulty Scaling system, ensuring a smooth user experience and feedback loop. Furthermore, teachers and trainers can access this data to refine instructional strategies and better assist learners based on their unique needs.
Acceptance Criteria: Learners take an assessment designed to measure their understanding of a specific skill. As they answer questions correctly, the system should adjust the difficulty level of subsequent questions in real-time, ensuring they are adequately challenged without being overwhelmed.

Given a learner is taking the assessment, when they answer correctly, then the next question presented should increase in difficulty based on the learner’s performance metrics.

A learner begins an assessment but struggles with a particular style of questions. The system should detect a pattern of incorrect answers and adapt the subsequent questions to a lower difficulty level, allowing the learner to regain confidence.

Given a learner answers three questions incorrectly in a row, when the system evaluates their performance, then the next question should decrease in difficulty, tailored to the learner's needs.

A teacher wants to analyze the performance data of a class during a live assessment session. The system should provide instant updates on which learners are struggling or excelling, enabling timely instructional adjustments.

Given a teacher is viewing real-time analytics during an assessment, when learners show varied performance levels, then the system should display a dashboard highlighting learners’ current status and their engagement levels.

After completing an assessment, the learner reviews their performance feedback. The system should present insights on patterns in their responses and suggest specific areas for improvement based on their performance history.

Given a learner has completed the assessment, when they review their performance feedback, then the system should provide a detailed analysis of strengths, weaknesses, and recommendations for focused practice.

A learner participates in a series of adaptive assessments over a month. The system should track their performance trends and adjust learning path recommendations based on identified skill gaps.

Given a learner has completed multiple assessments, when the system analyzes their scores over time, then it should recommend a personalized learning path that addresses their specific skill gaps.

The system is accessed by a team of trainers to set up new assessments with adaptive difficulty scaling. The trainers should be able to easily configure the criteria used for real-time performance analysis.

Given a trainer is setting up an assessment, when they define the performance criteria, then the system should allow them to specify question difficulty levels and patterns that influence adaptation decisions during the assessment.

A learner experiences a technical issue while taking an adaptive assessment that causes their responses not to register correctly. The system should have a mechanism to detect this issue and provide options to the learner to resume their assessment without losing progress.

Given a learner encounters a technical issue, when the system detects unregistered responses, then it should prompt the learner with options to resume the assessment and save their progress.

User Customization Settings

User Story: As a learner, I want to customize my learning experience so that it aligns with my preferred styles and paces.
Description: User Customization Settings will allow learners to personalize their learning experience by adjusting parameters such as difficulty preferences, learning styles, and feedback frequency. This feature aims to empower users by giving them control over their learning journey, making it more relevant and effective for individual needs. It integrates with Adaptive Difficulty Scaling, enabling the system to adapt assessments not just based on performance but also according to the user-selected criteria. Ultimately, it enhances user satisfaction and engagement, fostering a more tailored educational experience.
Acceptance Criteria: Learner Customization of Difficulty Preferences

Given a learner is in the customization settings, when they adjust the difficulty preference slider and save changes, then the platform must reflect the new difficulty setting in future assessments and tasks within 2 minutes.

Dynamic Learning Style Adjustment

Given a learner has selected their preferred learning style in the customization settings, when they start a new module, then course materials must adapt to the selected style (e.g., visual, auditory) within the first 3 lessons.

Feedback Frequency Customization

Given a learner has specified their preferred feedback frequency in the customization settings, when they complete an assessment, then feedback must be provided according to the specified frequency (instant, daily, weekly) for the next 3 assessments.

Integration with Adaptive Difficulty Scaling

Given a learner has set their customization preferences, when they take an assessment and their performance indicates a need for adjustment, then the system must recalibrate the subsequent assessment questions based on both performance and customization settings in real-time.

User Interface for Customization Settings

Given a learner accesses the customization settings menu, when they view the options, then all settings (difficulty preferences, learning styles, feedback frequency) must be visually distinct, labeled clearly, and include tooltips for guidance.

Saving Customization Settings

Given a learner makes changes to their customization settings, when they click the save button, then the system must confirm successful saving with a notification and retain the new settings upon the learner's next login.

Progress Tracking Dashboard

User Story: As a learner, I want to see my progress clearly so that I can stay motivated and understand how I am advancing.
Description: The Progress Tracking Dashboard is a visual interface that displays a learner's achievements, areas for improvement, and overall learning trajectory. It will include graphs, charts, and progress indicators that reflect the effectiveness of the Adaptive Difficulty Scaling in assisting the learner. By integrating data visualization, learners can better understand their learning progress over time, encouraging continued engagement and motivation. Moreover, teachers or corporate trainers can leverage this dashboard for insights into group performance, helping to tailor future lessons or interventions appropriately.
Acceptance Criteria: Learners access the Progress Tracking Dashboard after completing a set of adaptive assessments to evaluate their performance and progress in real-time.

Given a learner has completed several assessments, when they access the Progress Tracking Dashboard, then it should display their current score, areas for improvement, and achievement badges earned for motivation.

Teachers or corporate trainers review the Progress Tracking Dashboard to analyze group performance and adjust future lesson plans accordingly.

Given a teacher is logged into the Progress Tracking Dashboard, when they select a class, then they should see a summary of group performance, including average scores and engagement metrics.

Learners receive feedback on their progress visually represented in graphs and charts on the Progress Tracking Dashboard.

Given a learner accesses the Progress Tracking Dashboard, when they view their progress, then the dashboard should show visual representations (graphs/charts) of their scores over time and completed assessments.

The system tracks and displays the effectiveness of Adaptive Difficulty Scaling on the Progress Tracking Dashboard for each learner.

Given that a learner has participated in assessments with Adaptive Difficulty Scaling, when they view their dashboard, then it should indicate improvements in their performance relative to the challenge levels presented during assessments.

Learners can filter and customize the information displayed on the Progress Tracking Dashboard to focus on specific learning goals or subjects.

Given a learner is using the Progress Tracking Dashboard, when they apply filters for specific subjects or goals, then the displayed data should update to reflect only the relevant progress and achievements.

Administrators access the Progress Tracking Dashboard to gather insights for strategic planning and decision-making regarding curriculum adjustments.

Given an administrator accesses the dashboard, when they view the data, then it should provide aggregated insights on various classes and their overall performance trends to inform strategic educational decisions.

Skill Gap Assessment Tool

User Story: As a corporate trainer, I want to identify skill gaps in my trainees so that I can provide focused training and support to enhance their job readiness.
Description: The Skill Gap Assessment Tool will evaluate learners’ current skill levels against industry standards and specific job roles. It will provide insights into where a learner might be lacking and offer customized recommendations for improvement. The tool’s insights will directly inform the Adaptive Difficulty Scaling system, shaping the assessments to address identified gaps, thereby improving the relevance and efficiency of the learning process. This requirement is crucial for ensuring that learners are not just engaged but also gaining employment-ready skills aligned with market demands.
Acceptance Criteria: Skill Gap Assessment for a Software Engineering Role

Given a learner has completed the skill gap assessment, when the assessment results are analyzed, then the system should provide specific recommendations for improvement based on industry standards for the Software Engineering role.

Real-time Adjustment of Assessment Difficulty

Given a learner's performance metrics are collected during assessments, when a learner answers three consecutive questions correctly, then the system should increase the difficulty level of the next question by at least one notch on the difficulty scale.

Integration of Skill Gap Insights into Adaptive Difficulty Scaling

Given the skill gap assessment tool generates insights, when these insights are processed by the Adaptive Difficulty Scaling system, then the assessment questions should reflect the identified skill gaps, with at least 80% relevance to gaps stated in the assessment.

User Feedback Loop for Skill Gap Assessments

Given learners have utilized the skill gap assessment tool, when they provide feedback on the relevance of the recommendations, then at least 90% of learners should indicate that the recommendations were relevant to their skill improvement needs.

Monitoring Performance Impact Post-Assessment

Given a learner completes the skill gap assessment and engages in recommended improvement activities, when their subsequent performance on assessments is evaluated, then there should be a measurable performance increase of at least 25% in areas addressed by the assessment.

Accessibility of the Skill Gap Assessment Tool

Given the skill gap assessment tool is launched, when a user with disabilities accesses it, then the tool should fully comply with WCAG 2.1 Level AA accessibility standards, ensuring usability for all learners.

Feedback Mechanism

User Story: As a learner, I want to provide feedback on my assessments so that my learning experience can be improved over time.
Description: The Feedback Mechanism will facilitate learners to provide feedback on the assessments and the Adaptive Difficulty Scaling experience. It will allow users to report if they found questions too easy or too difficult, enabling an additional layer of adaptation in the system. Incorporating user feedback is essential for continuous improvement, ensuring that the platform evolves alongside its users' needs. This feature will help in refining the quality of assessments and maintaining high engagement levels among learners.
Acceptance Criteria: Learner submits feedback on assessment experience after completing a set of Adaptive Difficulty Scaling questions in a course module.

Given a learner has completed an assessment with Adaptive Difficulty Scaling, when they are prompted to provide feedback, then they should be able to rate the difficulty of the questions on a scale of 1 to 5 and provide text comments if desired.

Educators and trainers analyze feedback reports generated from learner submissions regarding question difficulty.

Given educators have access to the feedback reports, when they review the feedback, then they should see an aggregated view showing the percentage of learners who found each question too easy, too difficult, or just right, and the average ratings for each question.

The system automatically adjusts question difficulty based on aggregated feedback received from multiple learners.

Given a question has received feedback indicating that a majority found it too easy, when the analytics trigger an adjustment, then the system should automatically increase the question’s difficulty for future assessments by at least one level.

Learners receive a notification after submitting their feedback, encouraging them to continue engaging with the platform.

Given a learner has submitted feedback, when they complete the submission, then they should receive an on-screen notification thanking them for their input and encouraging them to continue with the learning modules.

Feedback from learners is being utilized to improve the quality of assessments in real-time.

Given a feedback mechanism is in place, when sufficient feedback suggests a consistent issue with a particular question, then the assessment team should be alerted to review and potentially revise the question within 48 hours.

Trainers can review a dashboard reflecting real-time feedback and adjustments made through learner inputs.

Given that trainers access the feedback dashboard, when they do so, then they should see visual representations of learner feedback trends over time and corresponding changes made to assessments.

The learner's experience with the Feedback Mechanism is tracked and analyzed for usability improvements.

Given that learners are using the Feedback Mechanism, when their actions are logged, then the system should provide insights into the number of feedback submissions per assessment and the average time taken to submit feedback, aiding in future usability studies.

Insightful Feedback Engine

Leveraging AI, the Insightful Feedback Engine provides detailed feedback on performance during assessments. It highlights strengths and pinpoint areas for improvement, offering personalized recommendations that guide learners on their developmental journey.

Requirements

Automated Performance Analytics

User Story: As an educator, I want to receive automated analytics on student performance so that I can quickly identify strengths and weaknesses and tailor my teaching methods accordingly.
Description: The Automated Performance Analytics requirement aims to implement a robust analytics framework within the Insightful Feedback Engine that automatically gathers and analyzes learner performance data during assessments. This functionality will enable the system to provide metrics such as accuracy rates, completion times, and engagement levels. By integrating real-time analytics, educators and corporate trainers can identify trends, measure training effectiveness, and make data-driven adjustments to their educational strategies. The automation of this feedback loop enhances the learning experience by ensuring that learners receive timely insights into their performance, thereby fostering continuous improvement and personalized learning paths.
Acceptance Criteria: User receives feedback immediately after completing an assessment on their performance metrics such as accuracy rates, completion times, and engagement levels.

Given a learner completes an assessment, when the assessment results are processed, then the learner should receive an automated report highlighting their performance metrics within 2 minutes.

Educators and corporate trainers access performance analytics through the dashboard to measure training effectiveness and identify trends.

Given an educator or corporate trainer logs into the SkillBridge platform, when they navigate to the analytics dashboard, then they should see visual representations of performance data including accuracy rates and engagement levels for the last month.

AI generates personalized recommendations based on the analysis of a learner's performance over multiple assessments.

Given a learner's performance data is collected from at least three assessments, when the AI analyzes this data, then it should generate personalized recommendations for improvement that are accessible to the learner within the platform.

Real-time analytics adjust the learning path based on the learner's performance trends, encouraging improvement.

Given the learner's performance metrics indicate a consistent drop in accuracy rates over two assessments, when those metrics are analyzed, then the system should suggest adjustments to the learner’s learning path to address the identified skill gaps.

Feedback is provided in a way that highlights strengths in addition to areas for improvement, enhancing learner motivation.

Given the automated feedback is generated after an assessment, when the feedback is displayed to the learner, then it must include at least two strengths alongside areas for improvement to ensure a balanced perspective.

Administrators monitor engagement levels to ensure high retention rates and make informed instructional decisions.

Given an administrator accesses the performance analytics dashboard, when they review engagement level metrics, then they should be able to generate a report indicating engagement levels segmented by course and demographic within 5 minutes.

Notifications are sent to educators if a learner is consistently underperforming, based on automated analytics.

Given a learner's accuracy rate falls below an acceptable threshold on three consecutive assessments, when this pattern is identified, then a notification should be sent to the respective educator's dashboard alerting them to the learner’s performance change.

Customizable Feedback Templates

User Story: As a corporate trainer, I want to customize the feedback templates used in assessments so that I can ensure the feedback is relevant to my trainees’ specific needs.
Description: The Customizable Feedback Templates requirement focuses on enabling users to create and modify feedback templates utilized by the Insightful Feedback Engine. This feature will allow educators and trainers to tailor the feedback to meet the specific needs of different learner demographics and subjects. Customizable templates can include pre-defined suggestions based on the assessment outcomes and can be adjusted to incorporate institutional branding or personalized messaging. This flexibility ensures that feedback is not only constructive but also relevant and aligned with the unique context of the learner's development. Such customization enhances user engagement and satisfaction with the feedback provided, ultimately improving learning outcomes.
Acceptance Criteria: Educators utilizing the Insightful Feedback Engine to provide personalized feedback to students after an assessment is complete, allowing for customized templates tailored to different disciplines and learner demographics.

Given an educator accesses the customizable feedback templates section, when they create a new template with specific branding elements and predefined suggestions, then the template should save successfully and be available for selection in the feedback process.

A trainer wants to modify an existing feedback template to make it align with the latest curriculum changes and institutional branding, ensuring that it reflects current industry expectations.

Given the trainer selects an existing feedback template, when they edit the branding elements and add new performance suggestions based on the latest curriculum, then the updated template should reflect all changes immediately and retain the original template settings for reference.

Users need to generate feedback reports that incorporate customized templates for different assessment types, ensuring clarity and relevance for the learner.

Given the user selects a feedback report for an assessment type, when they choose a customized feedback template, then the report generated must clearly display the correct branding, suggestions, and strengths identified by the assessment engine.

A corporate trainer wants to test the effectiveness of different feedback templates on learner performance and engagement, ensuring that templates can be easily switched during the evaluation process.

Given the corporate trainer has multiple feedback templates ready, when they apply different templates to similar assessment results, then they should be able to track and compare learner performance and engagement metrics based on the selected templates.

Educators want to ensure that feedback provided through customizable templates is user-friendly and accessible to students with varying levels of ability.

Given the educator designs a feedback template aimed at a specific learner demographic, when students receive their feedback, then the feedback must be straightforward, use clear language, and provide actionable recommendations suitable for that demographic.

Real-Time Skill Gap Identification

User Story: As a learner, I want to be alerted to my skill gaps in real time so that I can focus on areas that need improvement and receive personalized learning resources.
Description: The Real-Time Skill Gap Identification requirement aims to enhance the Insightful Feedback Engine's capabilities by integrating AI-powered algorithms that identify skill gaps as learners progress through assessments. This functionality will analyze the assessment results collectively to pinpoint specific areas where learners are struggling compared to desired competency levels. Upon identification of these gaps, the system will automatically recommend personalized learning resources or additional practice activities to help bridge the identified gaps. This real-time feedback mechanism supports adaptive learning strategies, ensuring that learners are not only informed of their current performance but are also provided with actionable steps to improve their skills as they navigate through their training.
Acceptance Criteria: As a learner, I complete an assessment within the SkillBridge platform, and I want to receive immediate feedback on my performance, including identified skill gaps and personalized resource recommendations.

Given that I have completed an assessment, when I check the feedback section, then I should see a detailed report highlighting my strengths, areas for improvement, and at least three personalized learning resources to address identified skill gaps.

As a corporate trainer using SkillBridge, I want to analyze the skill gaps of multiple learners who just completed an assessment to understand overall performance trends in my team.

Given that a group of learners has completed the same assessment, when I access the performance analytics dashboard, then I should see a consolidated report that visually represents the skill gaps of each learner along with group averages for comparison.

As an educator, I want to ensure that the Real-Time Skill Gap Identification system accurately reflects the competency levels outlined by the curriculum standards after learners complete assessments.

Given that the curriculum standards define specific competency levels, when a learner completes an assessment, then the identified skill gaps reported by the system should closely align with those competency levels with a tolerance of no more than 10% variance in scoring.

As a learner, I want to receive continuous feedback while progressing through a series of assessments so that I can track my improvement in real-time.

Given that I am taking multiple assessments in succession, when I complete each assessment, then I should receive real-time feedback after each assessment that indicates my performance improvements and suggests specific areas for further practice based on prior results.

As a developer, I want to ensure that the Insightful Feedback Engine processes assessment data efficiently to provide real-time feedback without delays.

Given that a learner has completed an assessment, when the feedback is being processed, then the system should return the feedback report within 2 minutes of assessment completion with all pertinent skill gap information and recommendations included.

User-Friendly Feedback Dashboard

User Story: As a learner, I want a centralized dashboard where I can view all my feedback and progress so that I can track my development and stay motivated.
Description: The User-Friendly Feedback Dashboard requirement seeks to design and implement an intuitive interface that aggregates all feedback, analytics, and recommendations provided by the Insightful Feedback Engine in one centralized location. This dashboard will be accessible to both learners and educators, providing an easily navigable experience that displays key metrics, progress tracking, and personalized action items. By presenting data in a visually appealing and comprehensible format, users will be able to understand their performance trends and what steps they need to take to enhance their learning journey. The dashboard's accessibility will promote engagement and accountability among users, ultimately leading to improved educational outcomes.
Acceptance Criteria: User navigates to the Feedback Dashboard after completing an assessment to review their performance metrics.

Given the user is on the Feedback Dashboard, when they complete an assessment, then the dashboard displays their overall score, strengths, and areas for improvement in a visually distinguishable manner.

Educators access the Feedback Dashboard to analyze the performance of their students post-assessment.

Given an educator accesses the Feedback Dashboard, when they select a specific assessment, then the dashboard provides a detailed analytics view including average scores, percentage of students meeting proficiency, and suggested areas of focus for instruction.

A learner views their personalized action items for improvement displayed on the Feedback Dashboard.

Given the user is on the Feedback Dashboard, when they navigate to the 'Action Items' section, then the dashboard shows a list of tailored recommendations based on their recent assessment results, with links to related resources.

User attempts to access the Feedback Dashboard using a mobile device.

Given the user accesses the Feedback Dashboard on a mobile device, when they log in, then the dashboard is displayed in a responsive design that maintains usability and readability across various screen sizes.

Learners track their progress over time using the metrics provided on the Feedback Dashboard.

Given the user has completed multiple assessments, when they view their progress tracking on the Feedback Dashboard, then it shows a graphical representation of their performance over time, highlighting trends and improvements.

An educator customizes the metrics displayed on their Feedback Dashboard to fit specific educational goals.

Given the educator is on the Feedback Dashboard, when they adjust settings to personalize their metrics view, then the dashboard updates to reflect only the selected metrics relevant to their teaching objectives.

Feedback Sentiment Analysis

User Story: As an educator, I want to analyze the sentiment of learners’ feedback so that I can better understand their experiences and modify my approaches if necessary.
Description: The Feedback Sentiment Analysis requirement aims to introduce natural language processing (NLP) capabilities to the Insightful Feedback Engine, enabling it to assess and categorize sentiment in the feedback provided by learners. By analyzing learners' comments and reactions to assessments, the system can determine sentiments such as satisfaction, confusion, or frustration and respond with tailored support options. This capability will empower educators and trainers to gauge learner sentiment more effectively and adjust their teaching strategies or interventions based on these insights. The implementation of sentiment analysis enhances the system's responsiveness and facilitates a supportive learning environment that addresses learner needs more effectively.
Acceptance Criteria: Learners submit feedback after completing an assessment on the SkillBridge platform, and the system uses sentiment analysis to evaluate and categorize their responses in real-time.

Given a learner submits feedback, when the sentiment is analyzed, then the system should categorize the sentiment as positive, negative, or neutral, and display the appropriate message to the learner.

An educator reviews feedback from multiple learners across different assessments, seeking to understand overall sentiment trends to adjust future training.

Given a set of feedback responses from learners, when the educator requests a summary report, then the system should provide a report indicating the percentage of positive, negative, and neutral sentiments per assessment.

A corporate trainer receives notification alerts when learner feedback indicates a high level of dissatisfaction with a specific training session.

Given the sentiment analysis identifies a high percentage of negative feedback, when the feedback is processed, then the system should automatically notify the trainer with a detailed analysis and suggested actions.

When a learner expresses confusion in their feedback after an assessment, the system should provide specific recommendations for additional resources.

Given a learner feedback containing the keyword 'confused', when the sentiment analysis identifies it, then the system should present tailored resource recommendations to the learner that address their concerns.

Educators can access sentiment analysis data to enhance their understanding of student engagement and satisfaction with various course components.

Given an educator accesses the course feedback feature, when they select a specific course, then the system should display sentiment metrics including average sentiment score and any notable comments.

The system needs to evaluate the effectiveness of the sentiment analysis feature by tracking accuracy compared to manual sentiment assessments.

Given an evaluation phase after implementing sentiment analysis, when comparing system-generated sentiment classifications to manual assessments, then the accuracy should be at least 85% for correctly categorizing sentiments.

Progress Tracking Metrics

This feature tracks and visualizes learning progress through comprehensive metrics. Learners can easily see their growth over time, identify trends in skill mastery, and feel empowered to set achievable goals while fostering a strong sense of accomplishment.

Requirements

Real-Time Progress Dashboard

User Story: As a learner, I want to view my progress in real-time on a dashboard so that I can understand my learning journey and identify areas where I need to focus more effort.
Description: The Real-Time Progress Dashboard allows learners and educators to visualize learning progress through a dynamic interface that presents key metrics such as completion status, skill mastery levels, and areas needing improvement. This feature integrates seamlessly with existing learning modules, providing immediate feedback that helps not only students but also educators to adjust their strategies and focus on areas requiring attention. The dashboard will utilize AI to analyze data trends over time, offering insights into learner engagement, knowledge retention, and course effectiveness. By providing real-time insights and analytics, the dashboard empowers users to make informed decisions regarding their learning and teaching practices, ultimately fostering a more effective learning environment.
Acceptance Criteria: As a learner, I want to view my progress in real-time so that I can understand my skill development better.

Given the learner is logged into SkillBridge, when they navigate to the Real-Time Progress Dashboard, then they should see visual representations of their completion status, skill mastery levels, and improvement areas

As an educator, I want to analyze student progress metrics so that I can adjust my teaching strategies accordingly.

Given the educator accesses the Real-Time Progress Dashboard, when they view the metrics for their students, then the dashboard should display real-time analytics showing engagement rates and areas where students struggle.

As a learner, I want to receive instant feedback after completing a module so that I can track my progress.

Given the learner completes a learning module, when they return to the Real-Time Progress Dashboard, then they should see an updated score reflecting their latest completion and mastery levels.

As a system admin, I want the dashboard to integrate with existing learning modules without issues so that data flows seamlessly.

Given the system admin has configured the dashboard to sync with the learning modules, when they initiate sync, then the dashboard should refresh with the latest data from all connected modules without any errors.

As a user, I want to set learning goals using the dashboard metrics so that I can have measurable targets to aim for.

Given the user is on the Real-Time Progress Dashboard, when they set a new learning goal based on their skill metrics, then the goal should be saved and displayed within the dashboard for tracking.

Goal-Setting Assistant

User Story: As a learner, I want a tool to help me set actionable goals for my skill development so that I can stay motivated and track my progress more easily.
Description: The Goal-Setting Assistant enables learners to set personalized learning objectives based on their current skill levels and desired outcomes. It incorporates features where users can receive recommendations on achievable goals and track their progress towards those goals. The assistant calculates milestones and notifies users when they are approaching deadlines or have succeeded in achieving their goals. Integration with the learning paths feature allows the assistant to adapt goals as the learner progresses through the platform, ensuring that the aims remain relevant. This ultimately encourages user engagement and provides a structured approach to skill development, helping learners to maintain motivation and direction.
Acceptance Criteria: Learners are able to access the Goal-Setting Assistant feature after completing their initial skill assessment on the SkillBridge platform.

Given a user has completed the skill assessment, when they navigate to the Goal-Setting Assistant, then they should see personalized learning objectives based on their assessment results.

Users can set new learning goals within the Goal-Setting Assistant based on the recommendations provided by the system.

Given a user is interacting with the Goal-Setting Assistant, when they receive goal recommendations, then they should be able to select and set at least one recommended goal successfully.

The Goal-Setting Assistant notifies users as they approach deadlines for their set goals, enhancing user engagement and accountability.

Given a user has set a goal with a deadline, when the deadline is approaching (e.g., 3 days prior), then the user should receive a notification reminding them of the upcoming deadline.

Users can track their progress towards their set goals within the Goal-Setting Assistant.

Given a user has set one or more goals, when they view the Goal-Tracking display, then they should see a visual representation of their progress against each goal, including percentage completion.

The Goal-Setting Assistant adapts the goals based on learners' progress through the learning paths feature.

Given a user has made progress in their learning path, when they check their Goal-Setting Assistant, then the goals should reflect updated milestones that correspond to their current skill level.

Users receive confirmation once they successfully achieve a goal set in the Goal-Setting Assistant.

Given a user has completed all tasks associated with a goal, when they review their goals in the Goal-Setting Assistant, then they should see a success message confirming goal achievement.

Users have the option to modify or remove existing goals in the Goal-Setting Assistant.

Given a user is viewing their current goals, when they choose to edit a goal, then they should be able to update or delete the goal without any errors.

Skill Mastery Analytics

User Story: As an educator, I want to access detailed analytics on my students' skill mastery so that I can tailor my lessons to support their learning needs better.
Description: Skill Mastery Analytics tracks and analyzes individual learner performance across different skills, providing educators and learners with comprehensive insights into areas of strength and areas for development. This feature includes visual graphs and dashboards to help track not only the mastery of individual skills but also overall progress across learning objectives. By integrating with user profiles, it allows for personalized feedback and targeted recommendations for skill improvement. This data can be used by educators to tailor their teaching practices to better meet student needs, ensuring that instruction is aligned with student capabilities and learning potential. This feature actively contributes to creating a more adaptive learning environment.
Acceptance Criteria: Learners access the Skill Mastery Analytics dashboard after completing several skill assessments to visualize their performance and areas for improvement.

Given the learner has completed multiple skill assessments, When they access the Skill Mastery Analytics dashboard, Then they should see a visual representation of their skill mastery, including strengths and weaknesses, along with overall progress metrics.

Educators review the Skill Mastery Analytics to provide personalized feedback to students during a one-on-one session.

Given an educator is reviewing a learner's Skill Mastery Analytics data, When they look at the outlined skills and metrics, Then they should be able to provide targeted recommendations for skill improvement based on the displayed analytics.

The platform updates the Skill Mastery Analytics in real-time as learners complete skill assessments and courses.

Given a learner completes a skill assessment, When the assessment is submitted, Then the Skill Mastery Analytics should update in real-time to reflect the latest performance data for that learner.

Users receive alerts when new skill gaps are identified in the Skill Mastery Analytics based on their recently completed assessments.

Given a learner has completed a new skill assessment, When the analysis of results indicates new skill gaps, Then the learner should receive a notification alerting them of these gaps and suggestions for resources to improve.

Administrators analyze aggregated Skill Mastery Analytics data for all learners to identify trends and inform curriculum design.

Given an administrator accesses the aggregated Skill Mastery Analytics dashboard, When they review the data, Then they should be able to identify overall trends in learner performance and skill gaps to inform curriculum adjustments.

Learners set and track personal learning goals based on insights from their Skill Mastery Analytics dashboard.

Given a learner is viewing their Skill Mastery Analytics, When they select a skill to improve upon, Then they should be able to set a specific improvement goal and track their progress towards that goal over time.

Progress Milestone Notifications

User Story: As a learner, I want to receive notifications when I reach significant learning milestones so that I can celebrate my achievements with others and stay motivated.
Description: Progress Milestone Notifications provide users with alerts and insights when they reach important learning milestones or make significant improvements in their skills. These notifications aim to keep learners engaged and motivated by celebrating their achievements. Integration with the broader platform allows users to share their milestones with peers and mentors, encouraging collaboration and community support. Customization options ensure that notifications are meaningful to each user, enabling them to choose which milestones they would like to be alerted about based on personal goals. This feature not only enhances the user experience but also helps foster a culture of achievement within the SkillBridge community.
Acceptance Criteria: User receives a notification upon completing a milestone in their skill development journey.

Given a user has successfully completed a predefined milestone, when the system recognizes this achievement, then an alert is generated and sent to the user's designated notification channel.

User can customize which milestones they would like to receive notifications for.

Given a user accesses their notification settings, when they select specific milestones for alerts, then those preferences are saved and taken into account for future notifications.

Users can view a history of all milestones achieved including the corresponding notifications received.

Given a user navigates to the milestones history section, when they retrieve their past milestones, then each milestone should display the achievement date and any notifications that were sent.

Users can share milestone notifications with their peers within the platform.

Given a user receives a milestone notification, when they choose to share it, then the platform allows them to post this achievement on their profile and send it to selected peers.

Users receive notifications for milestones at the appropriate engagement times (e.g., weekends, evenings).

Given a user has enabled milestone notifications, when a milestone is achieved, then the notification is sent during the user's preferred engagement times as indicated in their settings.

The system tracks and reports on the effectiveness of milestone notifications in user engagement.

Given the platform's analytics framework, when a milestone notification is triggered, then the system logs user engagement metrics, such as clicks on the notification or shares with peers, for future analysis.

Users have the option to opt-out of milestone notifications entirely.

Given a user accesses their settings, when they choose to opt-out of milestone notifications, then no future notifications are sent until they opt back in.

Feedback Loop Interface

User Story: As a learner, I want a channel to receive direct feedback from my instructors on my progress so that I can improve my skills effectively and engage with my learning process.
Description: The Feedback Loop Interface facilitates communication between learners and educators, allowing for constructive feedback on performance and progress. This feature includes a platform for submitting work, receiving detailed feedback, and engaging in follow-up discussions. By using this tool, learners can understand areas of improvement directly from instructors, while educators can provide tailored insights based on analytic data. The interface will support multiple media types (text, video, audio) for providing feedback to accommodate different learning preferences. Overall, this feature aims to create a rich dialogue that enhances learning outcomes and adapts teaching methods based on real-time input from both parties.
Acceptance Criteria: Learners submit their assignments through the Feedback Loop Interface and expect feedback from their educators.

Given that a learner has submitted their work, when the educator reviews the submission and provides feedback, then the feedback must be visible to the learner within 24 hours.

Educators utilize analytic data from the platform to offer personalized feedback to learners based on their progress metrics.

Given that the educator has access to real-time analytics on learner progress, when the educator selects a learner's profile, then the system must display the relevant metrics and allow for customized feedback tailored to the learner's performance.

Learners wish to receive feedback in various formats that suit their learning preferences.

Given that a learner has requested feedback in a specific media type, when the educator provides feedback, then the interface must support text, video, and audio formats, allowing for flexible communication.

Educators engage in follow-up discussions with learners about the feedback provided.

Given that feedback has been given, when a learner requests a follow-up discussion, then the educator must be able to initiate a discussion via chat or video call within the platform.

Learners can independently track their improvement based on the feedback received.

Given that a learner has received feedback on their assignments, when they access their progress dashboard, then the dashboard must display a clear visualization of areas improved and areas needing attention based on past feedback.

Educators can efficiently manage the volume of feedback they need to provide.

Given that an educator has multiple submissions to review, when they access the feedback management system, then they must be able to filter submissions by due date or learner to prioritize their responses effectively.

Both learners and educators can analyze the effectiveness of the feedback provided over time.

Given that feedback has been provided to various learners, when analytics are generated, then both parties must see reports that quantify the improvements linked to feedback sessions, highlighting growth metrics in skill mastery.

Skill Gap Identifier

The Skill Gap Identifier feature uses AI to analyze assessment results and automatically flag missing skills relevant to the learner's goals. By pinpointing these gaps, learners receive tailored suggestions for content and activities, enhancing targeted skill development.

Requirements

Automated Skill Gap Analysis

User Story: As a learner, I want an automated analysis of my assessment results to show me the skills I need to improve so that I can focus on the areas that will help me achieve my career goals.
Description: This requirement involves the development of an AI-powered system that analyzes learners' assessment results to identify skill gaps. By employing machine learning algorithms, the system will compare individual assessment scores against predefined job role competencies to flag missing skills that are crucial for the learner's career aspirations. The implementation of this feature is vital for providing actionable insights into a learner's current skill set, ensuring personalized learning experiences that are directly aligned with industry demands and individual career goals. It enhances the product by providing a clear pathway for skill development and optimizing the learner's educational journey towards desired job readiness outcomes.
Acceptance Criteria: Skill Gap Identification for Data Analyst Career Path

Given a learner submits an assessment, when the AI analyzes the results, then it should identify and flag at least three specific skill gaps required for a Data Analyst role based on predefined competencies.

Personalized Learning Path Recommendations

Given the identified skill gaps for a learner, when the system generates recommendations, then it should provide at least three tailored courses or activities that address each flagged skill gap.

Real-time Skill Gap Updates

Given that a learner completes additional assessments, when the AI reanalyzes their results, then it should update the flagged skill gaps in real-time, reflecting changes to the learner's skill set.

User Notification of Skill Gaps

Given that skill gaps have been identified, when the analysis is complete, then the learner should receive an automated notification detailing the skill gaps and suggested resources.

Effectiveness Review Post Analysis

Given a learner has completed suggested learning paths, when a follow-up assessment is conducted, then the system should show a reduction in identified skill gaps by at least 50% based on the initial analysis.

Integration with Job Market Data

Given the skill gap analysis feature is active, when a new job role or competency needs to be added, then the AI should be able to incorporate job market data to update the skill gap criteria accordingly.

User Feedback Collection on Skill Gap Identification

Given that the skill gap identification process is completed, when learners are prompted for feedback, then at least 80% of respondents should rate the relevance of the identified skills as 'High' or 'Very High.'

Personalized Learning Path Recommendations

User Story: As a learner, I want a personalized learning path that suggests relevant courses and activities based on my skill gaps so that I can effectively develop the skills I need.
Description: This requirement focuses on utilizing the output from the Skill Gap Identifier to generate personalized learning paths for each learner. Based on the identified skill gaps, the system will recommend tailored content and activities that align with the learner's goals and the skills necessary for their desired job roles. The benefits include streamlined learning experiences, increased engagement, and improved outcomes as learners will be presented with relevant resources that address their specific needs. This feature is integral to the SkillBridge platform, empowering learners to take actionable steps towards fill your knowledge gaps effectively and efficiently.
Acceptance Criteria: Learners log into SkillBridge and complete a skill assessment; the system analyzes results to identify gaps.

Given a learner completes the skill assessment, when the analysis is performed, then all skill gaps relevant to the learner's goals must be identified and flagged.

The Skill Gap Identifier generates personalized learning paths based on identified skill gaps.

Given the identified skill gaps, when the system generates a learning path, then the learning path must include at least three tailored content recommendations and two activity suggestions per gap.

A learner views their personalized learning path on the SkillBridge platform and interacts with the provided resources.

Given the learner accesses their personalized learning path, when they select a content recommendation, then the system must display the content with a completion progress tracker and optional engagement activities.

A learner provides feedback on the personalized learning path after using suggested resources.

Given the learner has completed or interacted with the learning path resources, when they submit feedback, then the system must record the feedback and provide an option to rate the learning path on a scale of 1 to 5.

Administrators want to review effectiveness of personalized learning paths across multiple learners.

Given administrators access the analytics dashboard, when they select a report on learning path effectiveness, then the report must display metrics on learner engagement, completion rates, and skill improvement statistics.

A new learner signs up for SkillBridge and undergoes the onboarding process to receive personalized recommendations.

Given a new learner completes the onboarding steps and skill assessment, when they view their dashboard, then the system must present the learner with a personalized learning path based on the identified skill gaps instantly.

Real-time Progress Tracking

User Story: As a learner, I want to track my skill development progress in real-time so that I can stay motivated and make adjustments to my learning plan as needed.
Description: The Real-time Progress Tracking requirement aims to implement a dashboard feature that allows learners to monitor their progress in skill development actively. This feature will display metrics such as completed modules, achieved competencies, and improvement areas based on ongoing assessments. Implementing this capability not only provides learners with motivation and accountability but also enables educators and trainers to adapt their instructional strategies accordingly. The ability to see their progress in real-time is expected to enhance learner engagement and retention of skills over time, ultimately supporting the overarching goal of job readiness.
Acceptance Criteria: Learners can log into their SkillBridge account and access the Real-time Progress Tracking dashboard.

Given the learner is logged in, when they navigate to the Progress Tracking dashboard, then the dashboard displays the current skill development metrics including completed modules, competencies achieved, and areas for improvement.

The dashboard must be updated in real-time as learners complete modules or assessments.

Given the learner completes a module, when the completion is recorded, then the dashboard metrics update within 5 seconds to reflect the new progress.

Educators need to view a summary of all learners' progress on skill development from their dashboard.

Given the educator is logged in, when they access the summary dashboard, then they should see a list of every learner's progress metrics, including total modules completed and competencies achieved.

Learners should receive notifications on their dashboard about modules that are falling behind schedule.

Given a module is overdue for completion, when the learner accesses the dashboard, then they receive a notification indicating the overdue status with suggestions for next steps.

The dashboard must analyze assessment results and highlight specific skill gaps for the learner.

Given the learner completes an assessment, when the results are processed, then the dashboard displays missing skills related to the learner's goals along with tailored suggestions for improvement activities.

Educators can adjust instructional strategies based on learners' progress data.

Given the educator reviews the progress data, when they identify learners with below average competencies, then they can alter instructional content and methods to better support those learners.

Engagement Analytics

Engagement Analytics provides insights into how learners interact with assessments, measuring time spent, question difficulty, and areas of interest. This information helps both learners and instructors adapt strategies to maintain high levels of engagement and learning efficacy.

Requirements

User Interaction Tracking

User Story: As an instructor, I want to track how my learners interact with course materials so that I can identify areas where they may struggle and improve my teaching strategies accordingly.
Description: The User Interaction Tracking requirement involves capturing and analyzing learners' interactions with assessments and course materials, including data on time spent on tasks, question difficulty, and areas of interest. This functionality is critical for providing real-time insights to both learners and instructors, enabling them to adjust their strategies to enhance engagement and learning outcomes. By integrating this feature into SkillBridge, the platform will empower educators to make informed decisions based on actual user data, improve course design, and provide tailored support to learners who may require additional assistance. The collected data will also feed into the larger analytics ecosystem of SkillBridge, contributing to continuous improvements in the learning experience.
Acceptance Criteria: User Interaction Tracking During Assessments for Learners

Given a learner completes an assessment, when the interaction data is captured, then the system should log the total time spent on the assessment, the difficulty of each question, and the specific questions interacted with.

Real-time Data Analytics for Instructors

Given an assessment has been completed, when an instructor accesses the engagement analytics dashboard, then the system should display a summary of average time spent, question difficulty ratings, and highlight areas of interest based on learners' interactions.

Feedback Loop for Course Design Improvement

Given the collected interaction data over a set course period, when the course instructors review the analytics, then they should identify at least three actionable insights to improve engagement in course materials.

User Profile Integration for Tailored Learning Paths

Given a learner's user profile, when interaction data on assessments is captured, then the system should adjust the learner's personalized learning path to reflect areas where they struggled or excelled.

Comprehensive Reporting for Administrator Review

Given a reporting request from an administrator regarding user interaction data, when the report is generated, then it should include a breakdown of engagement metrics for at least the last month and highlight trends in learner performance.

Quality Assurance for Data Accuracy

Given the system is tracking user interactions, when the data validation process is executed, then the interaction data logged should match a minimum of 95% accuracy with user activities recorded within the assessment interface.

Cross-Device User Interaction Consistency

Given a user is accessing the SkillBridge platform on multiple devices, when they complete an assessment on one device, then the interaction data should be synchronized accurately across all devices they use within a 5-minute window.

Dynamic Reporting Dashboard

User Story: As a corporate trainer, I want to view engagement metrics for specific learner groups so that I can tailor my training sessions to meet the unique needs of those groups.
Description: The Dynamic Reporting Dashboard requirement entails creating an interactive dashboard that presents engagement metrics in an easily digestible format. This dashboard will display a variety of analytics, such as average time spent per assessment, performance trends, and engagement scores, allowing educators and corporate trainers to visualize learner engagement over time. The dashboard should be customizable, enabling users to filter data by course, learner demographics, and specific time frames. This feature aims to enhance the decision-making process by providing actionable insights that guide instructional adjustments and improve learner support.
Acceptance Criteria: As an educator, I want to be able to access the Dynamic Reporting Dashboard to review student engagement metrics for my course over the past semester, allowing me to analyze trends and patterns in assessment performance.

Given that I am logged into SkillBridge and have selected a course, when I access the Dynamic Reporting Dashboard, then I should see engagement metrics such as average time spent per assessment, performance trends, and engagement scores for that course.

As a corporate trainer, I want to filter engagement analytics by learner demographics so that I can identify specific groups that might need additional support in their training.

Given that I have access to the Dynamic Reporting Dashboard, when I apply filters for learner demographics, then the dashboard should update to display the engagement metrics specifically for that demographic group.

As an instructor, I would like to customize the time frame for engagement metrics I am reviewing so that I can focus on a specific period, like the last month, to evaluate recent changes in student behaviors.

Given that I am on the Dynamic Reporting Dashboard, when I select a custom time frame from the date range options, then the engagement metrics should reflect the data only within that specified time frame.

As an educational administrator, I want to review performance trends across different courses to gauge overall effectiveness of our skill development initiatives.

Given that I can access the Dynamic Reporting Dashboard, when I select multiple courses to compare, then I should see a comparative analysis of engagement metrics such as average engagement scores and time spent on assessments across those selected courses.

As a learner, I want to see my individual performance metrics so that I can understand how I am engaging with the course content and identify areas for improvement.

Given that I have access to my profile in SkillBridge, when I navigate to the Dynamic Reporting Dashboard, then I should be able to view my own engagement metrics including average time spent on assessments and scores for the assessments completed.

As a corporate trainer, I want real-time updates of engagement metrics to instantly assess the effectiveness of ongoing training sessions.

Given that I am using the Dynamic Reporting Dashboard during a training session, when I observe engagement metrics, then I should see any adjustments made to the data in real-time without requiring a page refresh or reload.

Real-time Engagement Alerts

User Story: As a learner, I want to receive alerts when my engagement drops during assessments so that I can seek help or change my study approach before it's too late.
Description: The Real-time Engagement Alerts requirement involves developing an alert system that notifies instructors and learners about significant changes in engagement levels during assessments. This could include alerts for low engagement or substantial drops in performance. By providing timely notifications, this feature helps in quickly identifying students who may need additional support, thereby allowing for immediate intervention strategies. Implementing this requirement will enhance the learning environment by fostering proactive engagement management and support; thus improving overall learner success rates.
Acceptance Criteria: Instructor receives an alert when a learner's engagement drops below a predetermined threshold during an assessment.

Given an assessment is live, when a learner's engagement drops below 30%, then an alert notification should be sent to the instructor within 2 minutes of the drop.

Learners receive notifications when their engagement levels are flagged as low during assessments.

Given a learner's engagement is flagged as low, when the alert condition is triggered, then the learner should receive a notification on their dashboard immediately.

Instructors can customize alert thresholds for engagement levels based on individual class needs.

Given the instructor is in the settings menu, when they adjust the engagement threshold settings, then those settings should be saved and applied to future assessments for the specified class.

Alerts are documented and viewable in a report for actionable insights.

Given alerts are triggered, when an instructor views the engagement report, then all triggered alerts should be listed with timestamps and corresponding learner details.

Real-time alerts do not disrupt the ongoing assessment.

Given an engagement alert is triggered, when the alert is sent, then it should not interrupt the learner's assessment experience or close the assessment screen.

Both learners and instructors can provide feedback on the usefulness of the alerts.

Given an alert has been triggered, when the instructor or learner receives the alert, then both users should have an option to provide feedback on the alert's usefulness, which is logged for future improvements.

Skill Gap Analysis Integration

User Story: As an educator, I want to see how engagement levels relate to skill gaps in my students so that I can refine my teaching methods for better learning outcomes.
Description: The Skill Gap Analysis Integration requirement focuses on connecting engagement analytics with the skill gap analysis feature of SkillBridge. This integration will enable educators to correlate engagement metrics with skill proficiency data, allowing them to identify patterns between engagement levels and learner performance. This holistic view will help in adjusting not only course content but also instructional methods to bridge identified skill gaps effectively. The expected outcome is a more robust educational experience that is directly aligned with both learner needs and industry expectations.
Acceptance Criteria: Integration of Engagement Analytics and Skill Gap Analysis for Real-Time Feedback

Given that educators have access to engagement analytics and skill proficiency data, when they analyze student performance, then they can view a holistic report that correlates engagement metrics with identified skill gaps.

Tracking Changes in Learner Performance Post-Integration

Given that SkillGap Analysis integration is implemented, when educators assess learner performance, then they must see a statistically significant improvement in measured skill levels over three consecutive assessment periods.

Customizable Reporting Dashboard for Educators

Given that educators can access the engagement analytics dashboard, when they customize their reports, then they should be able to filter data by specific skill areas, time periods, and learner demographics.

Real-Time Adjustment of Learning Paths Based on Analytics Insights

Given that engagement analytics provide insights into learner interactions, when instructors adjust learning paths based on these insights, then at least 80% of learners should report increased engagement in subsequent lessons.

User Interface for Interaction Between Analytics and Skill Analysis Features

Given the integration of engagement analytics and skill gap analysis, when educators navigate the user interface, then they must find a seamless and intuitive experience to access both functionalities without technical issues.

Training and Support for Educators on Analytics Utilization

Given that the Skill Gap Analysis Integration is live, when educators participate in training sessions, then at least 90% of attendees should express a high level of confidence in utilizing analytics for instructional adjustments.

Feedback Mechanism for Continuous Improvement of Integration

Given the integration's implementation, when educators provide feedback on the usability and effectiveness of the integration, then at least 70% of feedback should indicate satisfaction or identify actionable areas for improvement within a six-month period after launch.

Feedback Mechanism for Assessments

User Story: As a learner, I want to provide feedback on assessments so that my insights can help improve the learning materials for myself and others in the future.
Description: The Feedback Mechanism for Assessments requirement involves establishing a system for gathering user feedback on assessment quality and engagement. This could include post-assessment surveys or prompts that solicit learners' perspectives on question clarity and relevance. Gathering this qualitative data will enable continuous improvement of assessment design and increase learner satisfaction. The feedback should be systematically analyzed and reported, providing actionable insights that can be integrated into future assessments to enhance engagement and educational effectiveness.
Acceptance Criteria: Post-Assessment Feedback Collection for Assessment Quality

Given a completed assessment, When a learner clicks on the feedback prompt, Then a survey should be displayed asking for feedback on question clarity, difficulty, and relevance.

Feedback Analysis and Reporting

Given collected feedback from assessments, When the data is analyzed, Then a report should be generated highlighting key trends and actionable insights for instructors to improve assessments.

User Notifications for Feedback Submission

Given that a learner has submitted feedback, When they complete the process, Then the learner should receive a confirmation notification acknowledging their feedback submission.

Integration of Feedback into Assessment Design

Given the report generated from feedback analysis, When the instructors review the insights, Then they should be able to modify the assessment questions based on the feedback provided.

Assessment Engagement Metrics Tracking

Given the implementation of the feedback mechanism, When the results are compared over different assessments, Then there should be improved engagement metrics indicating higher learner satisfaction with the assessments.

Learner Access to Feedback History

Given that feedback has been submitted, When a learner accesses their profile, Then they should be able to view a history of their feedback submissions and any corresponding changes made to assessments based on their input.

Testing of Feedback Submission Functionality

Given a test environment, When a learner submits feedback for an assessment, Then the submission should be logged without any errors and retrievable for reporting purposes.

Custom Assessment Paths

Custom Assessment Paths empower learners to create their unique assessment routes based on personal interests and career ambitions. This feature ensures that evaluations are relevant, motivating learners to stay engaged while developing the skills that matter most to them.

Requirements

Dynamic Assessment Module

User Story: As a learner, I want to create my own custom assessment path so that I can focus on developing skills that align with my career goals and personal interests.
Description: The Dynamic Assessment Module allows learners to design and customize their assessment paths tailored to their personal interests and career objectives. This feature facilitates the integration of multiple evaluation formats, including quizzes, practical tasks, and peer reviews, ensuring that assessments are as relevant and engaging as possible. By allowing personalized pathways, learners can focus on areas that they feel are important for their development, which not only increases motivation but also enhances the effectiveness of skill acquisition. This in turn provides educators with deeper insights into learner progress and competence level, allowing for timely and data-driven adjustments to educational strategies.
Acceptance Criteria: User Customization of Assessment Paths for Career Development

Given a user is logged into the SkillBridge platform, when they navigate to the Dynamic Assessment Module, then they should be able to select from various assessment types (quizzes, practical tasks, peer reviews) and create a personalized assessment path that aligns with their interests and career goals.

Review and Tracking of Customized Assessments

Given a user has created their custom assessment path, when they complete any assessment, then the system should log their scores and feedback, providing the user real-time updates on their progress towards their personalized goals.

Integration of Feedback Mechanisms in Assessment Paths

Given a user completes an assessment in their custom path, when they submit their work, then they should receive constructive feedback from peers or educators within 24 hours to enhance their learning experience.

Analytics Dashboard for Educators on Learner Performance

Given an educator is logged into the SkillBridge platform, when they access the analytics dashboard, then they should be able to view performance metrics for all learners, including completion rates and average scores in customized assessment paths.

Flexibility in Adjusting Assessment Paths

Given a user has started their assessment path, when they choose to modify their path by adding or removing assessments, then the system should allow them to make these changes without losing previously recorded progress.

Notifications for New Assessment Opportunities

Given a user has set preferences for assessments within their custom path, when new relevant assessments are added to the SkillBridge platform, then the user should receive notifications via email and in-app alerts about these opportunities.

Validation of Assessment Criteria by Educators

Given an educator is reviewing a learner's custom assessment path, when they approve or reject an evaluation format included in the path, then the system should notify the user of the decision and any necessary actions they must take.

Integration with Industry Standards

User Story: As an educator, I want to link assessments to industry standards so that my students can ensure their skills are relevant and recognized by employers.
Description: The Integration with Industry Standards requirement focuses on aligning the custom assessment paths with recognized industry standards and expected competencies in various fields. This ensures that learners' achievements and acquired skills are valid and acknowledged in the marketplace. The functionality should allow educators and corporate trainers to link assessments with specific industry benchmarks, thereby guiding learners towards relevant qualifications. Through this integration, SkillBridge not only enhances the credibility of the assessments but also provides real-time feedback on how well learners are meeting industry expectations.
Acceptance Criteria: As an educator, I want to create a custom assessment path that aligns with recognized industry standards for my students, ensuring they gain relevant skills for future employment.

Given a set of recognized industry standards, when I link my custom assessment paths to these standards, then the system should validate that all assessments meet the specified competencies.

As a corporate trainer, I want to provide feedback on learners' progress in real-time, ensuring they are gaining skills in accordance with industry benchmarks.

Given learners are taking assessments linked to industry standards, when I review their progress, then the system should display real-time analytics showing learner competencies against industry expectations.

As a learner, I want to understand how my current skill level compares to the industry standards to identify areas for improvement.

Given I have completed assessments linked to industry standards, when I view my skill gap analysis, then the system should accurately reflect the discrepancies between my skills and the established benchmarks.

As an institution, I want to generate reports that showcase how our programs align with industry standards to attract potential students.

Given our custom assessment paths are aligned with industry standards, when I generate a report, then it should effectively illustrate our alignment with the required competencies and display data relevant to prospective students.

As an administrator, I want to ensure that all industry standards used in custom assessment paths are regularly updated to reflect current market requirements.

Given a database of industry standards, when I review the assessment paths, then the system should alert me to any outdated standards and provide an option to update them.

As a learner, I want to receive recommendations for additional assessments based on my performance linked to industry standards to further enhance my skills.

Given I have completed assessments, when the system analyzes my results, then it should recommend further assessments that target skills I need to develop based on industry expectations.

As a facilitator, I want to easily modify assessments linked to industry standards to respond to changing market needs during the course.

Given I am in the process of conducting an assessment, when I make changes to the assessment linked to industry standards, then the system should apply the updates in real-time without disrupting ongoing evaluations.

Real-Time Feedback Mechanism

User Story: As a learner, I want to receive immediate feedback on my assessments so that I can understand my strengths and areas for improvement in real-time.
Description: The Real-Time Feedback Mechanism provides learners with immediate insights on their performance in custom assessments. By leveraging AI technology, this feature offers personalized feedback and suggestions for improvement as learners complete each assessment or module. This timely feedback loop encourages continuous engagement and allows learners to make adjustments to their study habits or focus areas. Additionally, it equips educators with valuable data about learner progress and areas needing attention, enabling them to deliver targeted support where necessary.
Acceptance Criteria: Learners complete a custom assessment path and receive immediate feedback on their performance in real-time as they answer questions.

Given a learner is taking a custom assessment, when they submit an answer, then the system should provide immediate personalized feedback based on their response, including suggestions for improvement, within 5 seconds.

Educators access a dashboard to view analytics and insights regarding learner performance in custom assessments.

Given an educator accesses the analytics dashboard, when they select a specific learner or assessment, then the dashboard should display real-time data on the learner's performance, including scores, areas for improvement, and engagement metrics within 10 seconds.

Learners adjust their study habits based on the feedback received from the real-time feedback mechanism.

Given a learner receives feedback on their assessment performance, when they review the suggested areas for improvement, then they should be able to update their study plan accordingly and reflect this change in their profile within the platform.

The real-time feedback mechanism is tested for user satisfaction and perceived usefulness.

Given a focus group of learners participates in testing the feedback mechanism, when they complete a post-assessment survey, then at least 80% of them should report that the feedback was helpful and engaging.

The AI system providing feedback is evaluated for accuracy and relevance over multiple assessments.

Given a dataset of assessments completed by learners, when the AI analyzes performance data, then it should correctly categorize learner performance and provide relevant feedback in at least 90% of cases as verified by expert educators.

The feedback is accessible across different devices and platforms.

Given a learner accesses the SkillBridge platform from a mobile device or desktop, when they complete an assessment, then the real-time feedback should be displayed consistently and accurately regardless of the device used.

Collaboration Tools for Peer Assessment

User Story: As a learner, I want to provide feedback on my peers’ assessments and receive feedback from them so that I can learn from different perspectives and improve my skills.
Description: The Collaboration Tools for Peer Assessment enable learners to engage with one another through peer reviews and collaborative evaluations. This feature allows students to give and receive constructive feedback on their assessments, fostering a community of learning and development. By engaging in peer assessment, learners enhance their critical thinking skills while gaining different perspectives on their work. This collaborative approach also enhances motivation and social learning, contributing to a richer educational experience.
Acceptance Criteria: Learners utilize the peer assessment tools after completing their assignments to provide feedback on each other's work, fostering collaborative learning and enhancing their critical thinking skills.

Given a learner has submitted their assessment, when they access the peer assessment feature, then they should be able to view their peers' submissions for review and provide feedback within the designated time frame.

Educators monitor peer assessment activity to ensure learners are engaging effectively and to provide additional support if necessary, ensuring the learning objectives are met.

Given an educator accesses the peer assessment dashboard, when they view learner participation metrics, then they should see a report indicating the number of assessments reviewed by each learner along with the average feedback score.

Learners receive notifications when their assessments have been assessed by peers, ensuring they are aware of feedback and can act on it in a timely manner.

Given a learner's assessment has been reviewed by a peer, when the review is submitted, then the learner should receive a notification containing the feedback and any applicable scores.

Learners engage in peer assessments collaboratively within groups, enhancing their social learning experience and motivation to participate.

Given learners are grouped for peer assessments, when they submit their reviews, then each learner in the group should receive feedback from at least two peers, and the system should ensure all submissions are tracked and recorded.

Feedback from peer assessments is integrated into learners' overall progress tracking to better inform personalized learning paths and skill assessments.

Given a learner's peer assessment results, when the data is processed, then the system should update the learner’s profile to reflect the average feedback scores, highlighting areas for improvement.

Assessment Progress Tracker

User Story: As a learner, I want to track my progress through my assessments so that I can stay organized and motivated in achieving my learning goals.
Description: The Assessment Progress Tracker allows learners to monitor their journey through various assessments in their custom paths. This requirement focuses on providing a visual representation of completed, ongoing, and upcoming assessments, enabling learners to stay organized and motivated. The tracker should include features that allow learners to set personal goals and milestones, receive reminders for upcoming assessments, and celebrate completed achievements. By helping users track their progress, the feature enhances accountability and encourages consistent engagement with their development process.
Acceptance Criteria: Learner views their assessment progress tracker on the SkillBridge platform.

Given the learner is logged into their SkillBridge account, when they navigate to the Assessment Progress Tracker, then they should see a clear visual representation of their completed, ongoing, and upcoming assessments, with progress percentages displayed for each assessment.

Learner sets a personal goal within the Assessment Progress Tracker.

Given the learner is on the Assessment Progress Tracker page, when they select the option to set a personal goal, then they should be able to input a specific assessment goal, save it, and see the goal reflected in their tracker.

Learner receives reminders for upcoming assessments.

Given the learner has upcoming assessments, when the date of an assessment approaches, then the learner should receive a notification reminder through the SkillBridge platform via email or app notification.

Learner marks an assessment as complete in the tracker.

Given the learner has finished an assessment, when they mark the assessment as complete in the tracker, then the assessment should visually update to show it as completed, and the completion date should be recorded.

Learner celebrates achievements in the Assessment Progress Tracker.

Given the learner completes a significant milestone, when they reach the milestone, then they should receive an interactive notification celebrating the achievement, accompanied by suggested next steps or assessments.

Learner views analytics of their assessment progress.

Given the learner is viewing their Assessment Progress Tracker, when they access the analytics section, then they should be presented with data showing their performance trends, areas of improvement, and upcoming assessment challenges.

Learner interacts with the user interface of the Assessment Progress Tracker.

Given the learner is using the Assessment Progress Tracker, when they interact with various UI elements like buttons for setting goals or marking assessments as complete, then the interface should respond promptly without any lag, ensuring a smooth user experience.

Course Creator Toolkit

The Course Creator Toolkit provides corporate trainers with an intuitive set of tools to design, develop, and publish engaging course content. This feature streamlines the course creation process, allowing trainers to focus on delivering high-quality, tailored training solutions. With customizable templates, integrated multimedia support, and easy-to-use editing tools, trainers can efficiently develop courses that meet specific industry needs and are ready for market.

Requirements

Customizable Course Templates

User Story: As a corporate trainer, I want customizable templates so that I can quickly create courses that align with my company's specific needs and ensure consistent quality across all training materials.
Description: The Customizable Course Templates requirement allows corporate trainers to access a library of templates that can be easily tailored to specific training needs and styles. These templates foster quick course setup and ensure consistency across various training modules. Providing a structured format helps trainers develop content efficiently, while also allowing flexibility to incorporate industry-specific elements, thereby enhancing the quality and relevance of the training courses offered.
Acceptance Criteria: Corporate trainers need to select and customize a course template from the library to create a new training module for their organization.

Given that the trainer is logged into the SkillBridge platform, when they access the Course Creator Toolkit and select a course template, then they should be able to customize content fields, upload multimedia resources, and save the template as part of their course library.

A corporate trainer is conducting a training session and needs to quickly switch to a new version of a course template that incorporates recent industry changes.

Given that the trainer is actively using a course during a training session, when they access the template library, then they should be able to view the latest version of templates with the date of last update clearly displayed, enabling them to select the most current template.

Trainers need to ensure that their customized course content maintains a consistent format when published for learners.

Given that the trainer has customized a course template and has completed the content, when they publish the course, then the system should enforce template formatting rules and provide a preview before finalizing the publication to confirm consistency across all training materials.

A corporate trainer wants to ensure diverse learning styles are catered to within their training content using the multimedia features of the course templates.

Given that the trainer has selected a course template, when they access the multimedia support features, then they should be able to integrate video, audio, and interactive elements seamlessly into the course structure, allowing for varied instructional methods.

Trainers require feedback on the effectiveness of their chosen template based on previous course performance metrics.

Given that the trainer has published courses using a specific template, when they access the analytics dashboard, then they should see performance metrics such as completion rates and learner satisfaction scores associated with that template to assess its effectiveness.

Corporate trainers need a user-friendly method to collaborate with team members while customizing course templates.

Given that the trainer is working on a course template, when they invite team members to collaborate, then those members should be able to access the template in real-time, suggest edits, and leave comments, facilitating streamlined communication and teamwork.

The platform should allow trainers to modify their course templates to align with specific learning objectives set by their organization.

Given that the trainer is customizing a course template, when they edit the content, then they should be able to align it with predetermined learning objectives through an integration feature that links objectives with course elements.

Integrated Multimedia Support

User Story: As a corporate trainer, I want integrated multimedia support so that I can enrich my courses with videos and interactive elements, making the learning experience more engaging for my audience.
Description: The Integrated Multimedia Support requirement ensures that the Course Creator Toolkit enables trainers to incorporate various forms of media, including videos, audio clips, graphics, and interactive elements. This feature aims to enhance learner engagement by providing diverse content types that cater to different learning styles. By integrating multimedia, trainers can create richer, more appealing training experiences that are proven to enhance knowledge retention.
Acceptance Criteria: Trainer uploads a video tutorial directly into the Course Creator Toolkit to complement a lesson plan about marketing strategies.

Given the trainer is logged into the Course Creator Toolkit, When the trainer selects the 'Upload Media' option and chooses a video file, Then the system should successfully upload the video and display it in the course module without errors.

A corporate trainer wants to embed an interactive quiz into the course material to assess learner understanding after a lesson.

Given the trainer is editing a course module in the Course Creator Toolkit, When the trainer selects the 'Embed Quiz' option and configures the quiz settings, Then the quiz should be successfully embedded into the module and store responses correctly upon submission.

A trainer intends to add background audio to a presentation slide to enhance learner engagement during the training session.

Given the trainer is within the 'Edit Slide' section of the Course Creator Toolkit, When the trainer uploads an audio file and selects it as background music, Then the system should allow playback during the slide presentation without any interruptions or lag.

The trainer needs to include multiple image types within a course to explain concepts visually.

Given the trainer is creating a new course module, When the trainer uploads various image formats (JPEG, PNG, GIF) into the media library, Then the images should be successfully uploaded, displayed correctly, and accessible within the course content.

The trainer wants to incorporate a video that requires subtitles for a multimedia lesson on software usage.

Given the trainer is adding video content into the Course Creator Toolkit, When the trainer uploads a subtitle file along with the video, Then the video should play with the subtitles correctly synchronized, enhancing accessibility.

A corporate trainer wishes to pull stock images and graphics from a library within the toolkit for use in a course module.

Given the trainer is within the media selection section of the Course Creator Toolkit, When the trainer searches and selects images from the stock library, Then the selected images should be easily inserted into the ongoing course module without any performance issues.

Real-time Collaboration Tools

User Story: As a corporate trainer, I want real-time collaboration tools so that my team and I can work together efficiently to develop and refine course content, ensuring we leverage each other's expertise effectively.
Description: The Real-time Collaboration Tools requirement provides trainers with the ability to work together in a shared environment while creating course content. This feature facilitates communication and teamwork, allowing multiple trainers to contribute ideas, revisions, and feedback instantly. By streamlining the collaborative process, the toolkit promotes creativity and ensures that diverse expertise is utilized in course development, ultimately resulting in higher-quality training materials.
Acceptance Criteria: Multiple trainers collaborate in real-time on a course project, editing content and providing feedback simultaneously from different locations.

Given multiple trainers are logged into the Course Creator Toolkit, when they make edits to the course content, then all changes should be visible to each trainer within 2 seconds without needing to refresh the page.

Trainers need to communicate during the course creation process without leaving the platform.

Given trainers are working on a shared course project, when one trainer sends a message to another using the built-in chat feature, then the recipient should receive an instant notification and be able to respond within the same interface.

A trainer wants to revert a previous version of the course content after several iterations of collaboration.

Given the version history feature is enabled, when a trainer selects a previous version of the course content, then the content should revert to that version successfully, and a confirmation message should be displayed.

Trainers need to provide real-time feedback on each other's contributions while collaboratively working on course materials.

Given a trainer has submitted content for review, when another trainer views the content, then they should have the ability to leave comments or suggestions that are logged and tracked for future reference.

A training manager reviews the collaboration activity logs to monitor contributions and identify key areas for improvement.

Given the activity log feature is implemented, when a training manager accesses the logs, they should be able to view detailed entries of all modifications, comments, and feedback provided by each trainer, along with timestamps.

Course Publishing and Distribution Management

User Story: As a corporate trainer, I want a streamlined course publishing and distribution management system so that I can efficiently release my training programs and ensure they are up to date and readily accessible to my learners.
Description: The Course Publishing and Distribution Management requirement simplifies the process for trainers to publish their completed courses seamlessly into the SkillBridge platform. It includes tools for setting access permissions, scheduling release dates, and managing course versions. By having a streamlined publishing process, trainers can ensure their content reaches audiences promptly and is always up-to-date, which is essential for aligning with changing industry standards.
Acceptance Criteria: Course Publishing with Permissions Settings

Given a trainer has created a course, when they set access permissions to 'public', then the course should be accessible to all users on the SkillBridge platform.

Course Release Scheduling

Given a trainer has completed a course, when they schedule the release date for next Monday, then the course should automatically publish on that date without manual intervention.

Course Version Management

Given a previously published course version, when a trainer updates the course to add additional content and saves it as a new version, then the previous version should remain accessible while the new version is marked as the current version.

Real-time Analytics on Course Engagement

Given a course is published, when a user enrolls and interacts with course content, then the trainer should receive real-time analytics on user engagement within 10 minutes of user activity.

Customization of Course Templates

Given a trainer is using the Course Creator Toolkit, when they choose a customizable template, then they should be able to modify at least 80% of the template's components to fit their course content.

Error Handling During Course Publishing

Given a trainer attempts to publish a course with missing required fields, when they click 'Publish', then an error message should display outlining the missing fields before any course data is saved.

Preview Functionality Before Publishing

Given a trainer has completed a course, when they click on 'Preview', then they should be able to view the course exactly as it will appear to users once published, including all multimedia elements and layout.

Course Performance Analytics Dashboard

User Story: As a corporate trainer, I want a performance analytics dashboard so that I can analyze learner engagement and course effectiveness, allowing me to make data-driven improvements to my training methods.
Description: The Course Performance Analytics Dashboard requirement enables trainers to track the effectiveness of their courses through built-in analytics. It provides insights into learner engagement, completion rates, and feedback, helping trainers understand how their content is performing and what improvements are needed. This robust analytical capability empowers trainers to continuously enhance course quality and learner outcomes based on data-driven insights.
Acceptance Criteria: Course Completion Rate Tracking

Given a course has been created and published, when a student completes the course, then the dashboard must reflect the updated completion rate within 10 minutes.

Learner Engagement Insights

Given a course is active, when a student engages with the course content, then the analytics dashboard must capture and display engagement metrics (e.g., time spent, interactions) by the end of the session.

Feedback Collection and Analysis

Given that a course instructor is reviewing course performance, when learner feedback is submitted, then the dashboard should aggregate and display the feedback scores and comments in real-time.

Real-Time Data Updates

Given the course analytics dashboard is open, when any performance metrics change (e.g., completion rates or engagement levels), then the dashboard must refresh the displayed data automatically without user intervention within 5 seconds.

Custom Report Generation

Given that a trainer wants to analyze course performance, when they select specific metrics and time frames, then the system must generate a report reflecting those custom criteria within 2 minutes.

Comparison of Multiple Courses

Given multiple courses are being analyzed, when the trainer selects two or more courses for comparison, then the dashboard must display a side-by-side comparison of key performance metrics (e.g., completion rates, learner engagement) clearly.

Historical Performance Tracking

Given a course that has been running for a significant period, when the trainer accesses the historical analytics, then the dashboard should allow viewing and downloading of performance data for the past 12 months in a user-friendly format.

User Feedback Mechanism

User Story: As a corporate trainer, I want a user feedback mechanism so that I can gather insights from learners about my courses, enabling me to continuously refine and improve the training provided.
Description: The User Feedback Mechanism requirement incorporates a feature for learners to provide feedback directly on course content. This mechanism will include ratings, comments, and suggestions, allowing trainers to gather valuable insights directly from participants. By implementing this feedback system, trainers can refine courses based on real learner experiences and preferences, enhancing course quality and satisfaction.
Acceptance Criteria: Learners use the feedback mechanism to provide feedback after completing a course.

Given a learner has completed a course, When they access the course feedback page, Then they should see a feedback form that includes rating options, a comment box, and a submit button.

Corporate trainers receive notifications for new feedback submitted by learners.

Given that a learner has submitted feedback, When the feedback is submitted successfully, Then the corresponding corporate trainer should receive a notification alerting them of the new feedback.

Trainers can view all feedback received for their courses in a centralized dashboard.

Given a trainer has logged in to their dashboard, When they navigate to the feedback section, Then they should see a list of all feedback entries organized by course, including ratings, comments, and submission dates.

Trainers can respond to learner feedback directly through the feedback mechanism.

Given a feedback entry has been submitted by a learner, When the trainer views the feedback, Then they should have an option to respond to that feedback directly in the dashboard.

The system ensures that feedback submissions are validated and that users receive a confirmation message upon successful submission.

Given a learner fills out the feedback form, When they submit their feedback, Then they should receive a confirmation message that their feedback was successfully submitted and recorded.

Learners can edit their feedback within a specified time frame after submission.

Given a learner has submitted feedback, When they access their submitted feedback within 24 hours, Then they should be able to edit their rating and comments before resubmitting.

Market Demand Analyzer

The Market Demand Analyzer leverages real-time data to help corporate trainers identify trending skill requirements within industries. By analyzing job postings, industry reports, and company feedback, this feature enables trainers to design courses that address high-demand skills, ensuring that course offerings remain relevant and compelling to both learners and employers.

Requirements

Real-Time Data Integration

User Story: As a corporate trainer, I want to access real-time data analytics on industry skill requirements, so that I can design courses that align with current market demands and enhance learner employability.
Description: The Real-Time Data Integration requirement focuses on collecting and processing various data sources such as job postings, industry reports, and company feedback to ensure trainers access accurate and timely market demand insights. This functionality is crucial for maintaining the relevancy of the courses offered by corporate trainers. It enables the Market Demand Analyzer to provide up-to-date analytics about trending skills, thus empowering trainers to make informed decisions when designing their course content. The seamless integration with external data sources is vital for delivering real-time updates and ensuring the adaptability of courses in a fluctuating job market.
Acceptance Criteria: Integration of Job Posting Data

Given that the system is configured with valid job posting sources, when the Market Demand Analyzer runs data integration, then it should successfully gather job postings data without errors and display the data within one hour of posting.

Real-Time Analytics Dashboard Update

Given that new data is integrated, when a corporate trainer accesses the analytics dashboard, then the dashboard should reflect updates in real-time, showing trending skills based on the latest data collected.

Feedback Integration from Corporate Trainers

Given that feedback is submitted by corporate trainers, when the feedback is processed, then it should be incorporated into the Market Demand Analyzer, influencing the skill analysis report within 24 hours.

Accuracy of Data Sources

Given that various data sources are utilized for analysis, when data is pulled from these sources, then it must consistently meet an accuracy rate of at least 90% when matched against verified industry requirements.

User Notifications for Data Integration Failures

Given that there is an issue during data integration, when such an issue occurs, then the system should notify the corporate trainer via email and in-system alerts within 10 minutes of detection.

Historical Data Analysis

Given that historical data is available, when the Market Demand Analyzer performs an analysis, then it should generate reports that compare historical trends with current data, providing insights on skill demand changes over the past year.

Response Time for Data Queries

Given that a corporate trainer initiates a data query, when the request is made, then the system should return results within 5 seconds, ensuring minimal wait time for analysis.

Skill Gap Identification

User Story: As a trainer, I want to identify skill gaps in our existing courses, so that I can create new offerings that better prepare learners for the jobs available in the market.
Description: The Skill Gap Identification requirement involves using the Market Demand Analyzer to pinpoint discrepancies between the skills currently offered in educational programs and those demanded by employers based on real-time data analysis. By identifying these gaps, corporate trainers can develop targeted courses to address the specific needs of the job market. This capability not only helps trainers maintain course relevancy but also ensures that learners acquire skills that lead to improved job prospects. The implementation of this requirement plays a critical role in fostering collaborations between educators and industry leaders for workforce readiness.
Acceptance Criteria: Corporate trainers are utilizing the Market Demand Analyzer feature during their quarterly course design meeting to assess the current skill gaps in their educational offerings based on industry demand.

Given that the Market Demand Analyzer is active, when corporate trainers access the skill gap analysis report, then they should see a breakdown of at least three high-demand skills that are currently unmet in their program.

A corporate trainer is reviewing the analytics dashboard of SkillBridge for trends in job postings relevant to their field of expertise.

Given that the trainer has selected their specific industry, when the dashboard is loaded, then the trainer should be able to view at least five trending skills over the past month highlighted for immediate attention.

During a training workshop, a facilitator is demonstrating the use of the Market Demand Analyzer to a group of educators.

Given that the facilitator is explaining the tool, when they input data from recent job postings, then the system should generate a skill demand report that updates in real-time and shows skill gaps clearly.

After conducting a skill gap analysis, a corporate trainer plans a new course based on the identified needs.

Given that the trainer has access to skill gap data, when they create the course outline, then at least 80% of the course content should directly address the newly identified high-demand skills.

At the end of a training cycle, corporate trainers evaluate the effectiveness of the courses based on the skill gaps that were initially identified.

Given the implementation of new courses based on skill gaps, when trainers assess learner job placement rates post-training, then there should be at least a 20% increase in successful placements compared to previous cycles.

Interactive Analytics Dashboard

User Story: As a corporate trainer, I want to use an interactive dashboard to visualize market demand analytics, so that I can quickly adapt my course offerings based on emerging skill trends.
Description: The Interactive Analytics Dashboard requirement allows corporate trainers to visualize and interact with market demand data through a user-friendly interface. This dashboard will provide insights on trending skills, course efficacy, and learner performance metrics, promoting data-driven decision-making. The ability to filter, sort, and manipulate data empowers trainers to quickly assess the effectiveness of their course offerings and make necessary adjustments. Furthermore, this requirement enhances user engagement and facilitates strategic planning to keep course content aligned with industry trends.
Acceptance Criteria: Corporate trainers access the Interactive Analytics Dashboard to analyze market demand data for skill identification during course planning meetings.

Given that the trainer is logged into the SkillBridge platform, when they navigate to the Interactive Analytics Dashboard, then they should see real-time data visuals of trending skills filtered by industry.

Trainers utilize the dashboard to measure course efficacy after a learning session, focusing on learner feedback and performance metrics.

Given that the trainer selects a specific course, when they view the course efficacy section of the dashboard, then they should see performance metrics for all enrolled learners compared to industry benchmarks.

A corporate trainer filters the data to identify high-demand skills required for the upcoming quarter based on recent job postings.

Given that the trainer applies filters for job postings dated within the last three months, when they execute the search, then the dashboard should display a list of skills with associated demand percentages.

The trainer wants to generate a report for stakeholders based on insights gathered from the dashboard for strategic planning.

Given that the trainer selects the export option, when they choose to generate a report of the dashboard data, then a downloadable report should be created in PDF format including all selected visualizations and metrics.

An educator collaborates with a corporate trainer to make data-driven adjustments to a course based on dashboard insights.

Given that the educator accesses the dashboard with the trainer, when they jointly review the insights for skill gaps in the course offerings, then they should be able to identify at least three actionable adjustments to the course content.

Trainers conduct a workshop showcasing how to effectively use the Interactive Analytics Dashboard for decision-making.

Given that a trainer is leading a workshop, when participants engage with the dashboard in a hands-on session, then at least 80% of participants should be able to successfully navigate and extract insights from the dashboard within the allocated time.

Trainers want to analyze learner performance over multiple sessions to assess skill acquisition efficacy.

Given that the trainer selects the learner performance metrics tab, when they view the historical data comparisons for a specific learner, then they should see a clear trend indicating skill improvement or decline over time, presented in an easy-to-understand graph format.

Automated Feedback Loop

User Story: As a corporate trainer, I want an automated feedback system, so that I can receive real-time insights from learners and employers to continuously improve my courses.
Description: The Automated Feedback Loop requirement establishes a mechanism for continuous improvement based on feedback from learners and employers. This functionality allows corporate trainers to receive real-time feedback on course performance and learner outcomes, enabling them to iterate on course content effectively. By integrating feedback into the curriculum development process, trainers can ensure that their courses meet the evolving needs of the workforce, making this requirement integral to maintaining engagement and relevancy over time.
Acceptance Criteria: Real-time feedback collection from learners during a course delivery session.

Given a course is being delivered, when a learner submits feedback on the course content and delivery via the platform, then the feedback should be collected and summarized in real-time for trainers to view.

Feedback from employers regarding course alignment with job requirements.

Given a course has been completed, when employers provide evaluation feedback on the skills acquired by their employees, then the feedback should be automatically aggregated and analyzed to identify course effectiveness.

Trainers accessing feedback reports to iterate on course content.

Given a trainer is scheduled to review course performance, when they access the feedback dashboard, then they should be able to see detailed reports highlighting learner and employer feedback trends for the last three months.

Integration of feedback into course updates.

Given that real-time feedback has been collected, when a trainer decides to update the course based on this feedback, then the system must allow the trainer to make adjustments and publish a new version of the course within 48 hours.

Notification system for trainers on new feedback submissions.

Given that feedback has been submitted by a learner or employer, when the feedback is logged in the system, then trainers should receive a notification via email or platform alert within 15 minutes.

Analysis of skill gaps identified by collected feedback.

Given that multiple feedback submissions highlight skill gaps, when the data is analyzed, then the system should generate a report outlining the top three skills needing enhancement and suggest course improvements.

User satisfaction measurement through feedback analysis over time.

Given ongoing feedback collection, when the feedback is analyzed over a period of six months, then the system must provide a satisfaction score indicating overall learner and employer satisfaction levels with the courses offered.

Competitor Analysis Feature

User Story: As a corporate trainer, I want to analyze competitor courses and strategies, so that I can improve our offerings and attract more learners effectively.
Description: The Competitor Analysis Feature allows corporate trainers to analyze and compare their course offerings with those of competitors in the market. This requirement entails gathering data on competitors’ success rates, course content, and alignment with industry demands. Being informed about competitors’ strengths and weaknesses enables trainers to differentiate their courses and enhance their market position, ensuring that they attract more learners. By leveraging this data, the company can innovate and adapt its offerings promptly to sustain relevance and competitiveness in the education sector.
Acceptance Criteria: Competitor Offering Comparison for Course Improvement

Given a set of competitor courses and their success rates, when a corporate trainer inputs their course data into the Competitor Analysis Feature, then the system should output a comparative analysis highlighting strengths, weaknesses, and potential areas for improvement based on the competitors' performance.

Automated Data Collection for Competitor Analysis

Given the Competitor Analysis Feature, when the system is initiated, it should automatically gather course offerings, content details, and success rates from at least five direct competitors within the industry on a monthly basis.

Real-time Update of Industry Trends

Given the integration with the Market Demand Analyzer, when industry reports or trending job postings are updated, the Competitor Analysis Feature should reflect those changes and suggest adjustments to course offerings accordingly, within a 24-hour period.

User Interface for Visual Data Representation

Given the analysis data from competitor courses, when the corporate trainer accesses the Competitor Analysis Feature, then the data should be presented in a user-friendly dashboard with charts and graphs allowing for easy interpretation of insights.

Actionable Insights Generation

Given the results from the competitor analysis, when a corporate trainer reviews the insights provided, then a list of at least three actionable recommendations should be generated to enhance their course offerings based on competitor strategies.

Feedback Collection Mechanism

Given that corporate trainers are using the Competitor Analysis Feature, when they complete an analysis, then the system should prompt them to provide feedback on the accuracy and usefulness of the insights generated, allowing for continuous improvement of the feature.

Performance Monitoring of Course Changes Post Analysis

Given a corporate trainer has implemented changes to their course offerings based on insights from the Competitor Analysis Feature, when evaluating the performance of the updated courses, then there should be at least a 10% increase in enrollments within the next quarter.

Custom Reports Generation

User Story: As a corporate trainer, I want to generate custom reports on market data and course performance, so that I can present actionable insights to stakeholders effectively.
Description: The Custom Reports Generation requirement provides corporate trainers with the ability to create tailored reports based on specific criteria from the market demand analytics. This functionality is beneficial for trainers who need to present data-driven insights to stakeholders or decision-makers. By generating comprehensive and clear reports on skill demand, learner performance, and course effectiveness, this feature enhances transparency and supports strategic planning in course development. Ultimately, it aids trainers in making informed decisions aligned with market trends and learner needs.
Acceptance Criteria: Corporate trainer needs to generate a customized report on trending skills within their industry for an upcoming meeting with stakeholders.

Given the corporate trainer has selected specific criteria such as industry sector and skill type, when they initiate the report generation process, then a report is created that accurately reflects the selected criteria with no errors.

A corporate trainer wants to analyze the effectiveness of a recently conducted course based on learner performance and engagement metrics.

Given the trainer has input the course details and selected the performance metrics, when the report is generated, then it includes detailed analytics on learner engagement and course effectiveness within 2 minutes of request.

A trainer needs to present skill demand trends to senior management to secure funding for course development.

Given the trainer has selected a time range and specific market data sources, when they generate the custom report, then the report must include visualizations of skill demand trends over that time range clearly labeled and easy to interpret.

Corporate trainers wish to compare multiple skill sets across different industries in a single report.

Given that the trainer has selected multiple industries and comparative metrics, when the report is generated, then the report should display a side-by-side comparison of skill demand across selected industries using consistent metrics and formats.

A corporate trainer needs to export a custom report to present at a conference.

Given the trainer has finished creating the report, when they select the export option, then the report should be downloadable in PDF and Excel formats without loss of data or formatting.

A corporate trainer requires to review historical demand for certain skills before making course adjustments.

Given the specified time period and skill set are selected, when the report is generated, then it must provide a historical overview of demand for those skills, highlighting any trends and changes clearly and accurately.

A corporate trainer is reviewing reports for insight into learner feedback on course offerings.

Given the trainer has selected relevant courses and feedback questions, when the report is generated, then it should present summary statistics of learner feedback clearly and include qualitative insights where applicable.

Dynamic Pricing Model

The Dynamic Pricing Model allows corporate trainers to set flexible pricing strategies based on demand, course popularity, and learner feedback. This feature aids trainers in maximizing revenue while also making their courses more accessible to a wider audience. By offering promotional rates or tiered pricing, trainers can respond to market conditions effectively while optimizing course sales.

Requirements

Flexible Pricing Setup

User Story: As a corporate trainer, I want to set flexible pricing for my courses so that I can adapt to market conditions and maximize my revenue while still making my courses accessible to a wider audience.
Description: The Flexible Pricing Setup enables corporate trainers to create and manage a variety of pricing models for their courses. This requirement includes functionality for setting base prices, discounts, promotional offers, and tiered pricing based on learner demographics or course demand. It ensures that trainers can adjust pricing easily in real-time based on market conditions, competition, or other relevant data. This flexibility helps maximize revenue streams while ensuring accessibility, making courses more appealing to diverse learners and allowing trainers to react appropriately to shifting economic factors.
Acceptance Criteria: Corporate trainers can access the Flexible Pricing Setup feature to create a new course with a base price and apply various discounts based on learner groups.

Given a corporate trainer is in the Flexible Pricing Setup, when they create a course and set a base price, then they can successfully apply a discount for a specific learner group.

A corporate trainer wants to adjust the price of an existing course based on real-time demand data and market analysis to maximize revenue.

Given a trainer is viewing the pricing dashboard, when they select an existing course and enter a new price based on demand data, then the system must update the course pricing and notify the trainer of the successful update.

Corporate trainers wish to implement promotional offers during specific times of the year, such as holidays, to attract more learners to their courses.

Given it is a holiday season, when the corporate trainer creates a promotional offer in the Flexible Pricing Setup, then the offer must be visible on the course page and applicable at checkout.

The system needs to allow corporate trainers to set tiered pricing for a course based on learner demographics, such as student, professional, or senior citizen categories.

Given a corporate trainer is adding tiered pricing, when they configure different price points for each demographic category, then the system must reflect these prices accurately at the point of sale.

Corporate trainers should receive analytics on pricing strategies to assess their effectiveness and adjust as necessary.

Given a corporate trainer has implemented different pricing strategies, when they access the analytics dashboard, then they must see clear metrics showing the course sales performance and impact of pricing changes.

A trainer needs to apply discounts based on learner feedback ratings for a course to incentivize more sign-ups.

Given a corporate trainer has received feedback on a course, when they review the ratings, then they can successfully apply a discount to the course price corresponding to the feedback rating received.

Demand-Based Pricing Alerts

User Story: As a corporate trainer, I want to receive alerts about course demand so that I can adjust my pricing strategy promptly to enhance course enrollment and revenue.
Description: The Demand-Based Pricing Alerts feature provides corporate trainers with real-time notifications and insights when certain pricing thresholds or demand levels are reached for their courses. This requirement includes analytical tools that analyze patterns in course popularity, learner enrollment, and feedback. By leveraging AI-driven analytics, trainers will receive alerts when to consider adjusting their price points, thereby instantly capitalizing on high demand or responding to low enrollment rates. This proactive approach enables trainers to make informed decisions to optimize their pricing strategy efficiently.
Acceptance Criteria: Corporate trainers receive real-time notifications when course demand reaches a predefined threshold based on enrollment numbers and feedback metrics.

Given that a course has received over 75% positive feedback and has reached 90% of its enrollment capacity, when the demand threshold is met, then the corporate trainer should receive an alert via email and in-app notification.

Trainers can customize their pricing alerts based on specific parameters like course popularity or learner feedback.

Given that a corporate trainer has set a pricing alert for courses with more than 80% positive feedback and over 100 enrollments, when those criteria are met, then the trainer should receive a notification indicating the need to evaluate pricing strategies.

The system provides comprehensive analytics on trends related to course demand and competitive pricing.

Given that a trainer accesses the analytics dashboard, when they view the demand-based pricing section, then they should see graphical representations of course popularity trends alongside competitor pricing for similar courses.

Real-time alerts are effectively logged in the system for future reference and decision-making.

Given that an alert has been triggered for demand-based pricing, when the trainer views the alert history, then the alert should appear with accurate timestamps and relevant details about the triggering metrics.

Trainers receive alerts when the demand for their courses drops below a certain threshold, enabling them to respond quickly.

Given that a course has fallen below 50% of its ideal enrollment capacity for two consecutive weeks, when this occurs, then the trainer should immediately receive a notification suggesting a pricing adjustment or promotional offering.

Corporate trainers can access a historical log of demand alerts to analyze past trends and impacts.

Given that a trainer accesses the historical demand alerts log, when they review the entries, then each entry should display the course name, threshold that triggered the alert, and the date of notification.

Notifications generated by the system are customizable based on the trainer's preferences for communication channels.

Given that a trainer sets their notification preferences to receive alerts via SMS instead of email, when a demand alert is triggered, then the alert should be sent to the trainer’s designated SMS number instead of their email address.

Promotional Rate Management

User Story: As a corporate trainer, I want to manage promotional rates for my courses so that I can increase enrollment during specific marketing campaigns and improve overall course visibility.
Description: The Promotional Rate Management system allows corporate trainers to create, manage, and analyze promotional pricing strategies for various courses. This requirement facilitates the setup of limited-time offers, promotional codes, or discounts that can be applied during specific periods. Additionally, it provides analytics on how each promotional event impacts enrollment numbers, revenue, and customer feedback. By utilizing this feature, trainers can effectively boost enrollment during off-peak times and encourage engagement with courses, leading to increased visibility and participation.
Acceptance Criteria: Corporate trainers want to create a limited-time promotional offer for their courses during a holiday season, and they need to set the start and end dates for this promotion to ensure it is valid only during that period.

Given a corporate trainer is logged into the SkillBridge platform, When they navigate to the Promotional Rate Management section and create a new promotional offer, Then they should be able to set a start date and an end date for this offer, and it should only be valid within that timeframe.

A corporate trainer wishes to apply a promotional code that provides a discount on course registration during a specific promotional event and needs to ensure that the code works as intended when used by learners.

Given a promotional code is created for the course, When a learner attempts to register for the course using the promotional code, Then the registration fee should reflect the discounted price when the code is applied correctly.

Corporate trainers need to analyze the impact of their promotional pricing strategies to understand their effectiveness in boosting enrollment and revenue after a promotion has ended.

Given a promotional event has concluded, When the corporate trainer views the analytics dashboard, Then they should see metrics indicating the number of enrollments, total revenue generated during the promotional period, and any feedback collected from learners regarding the promotion.

A corporate trainer wants to adjust their promotional pricing strategy based on real-time data about course popularity and learner feedback to maximize enrollment during an off-peak period.

Given the trainer has access to real-time analytics on course performance, When they adjust the promotional rates based on this data, Then the changes should be reflected immediately in the pricing displayed to potential learners.

Corporate trainers want to offer tiered pricing for courses based on learner engagement levels, and they need the ability to create multiple tiers with different pricing strategies.

Given a corporate trainer is on the Promotional Rate Management page, When they select the option to create tiered pricing, Then they should be able to define at least three different engagement levels and corresponding prices for each tier, which can be applied to the relevant courses.

Trainers aim to inform learners about upcoming promotional events and discount offers through automated notifications or communications.

Given a promotional event has been set up, When the promotional event is activated, Then an automated notification should be sent to all registered learners about the promotion, detailing the discount and how to apply it.

Corporate trainers require a method for tracking the effectiveness of their promotional codes over time to make informed adjustments to their strategies.

Given there are multiple promotional codes in use, When the corporate trainer accesses the reporting feature, Then they should receive a detailed report showing usage rates, engagement levels, and success metrics for each promotional code utilized in the past 6 months.

Tiered Pricing Options

User Story: As a corporate trainer, I want to offer tiered pricing for my courses so that I can provide customized options for different learner needs and maximize my income potential.
Description: The Tiered Pricing Options feature enables corporate trainers to implement a structured pricing model based on user access levels or course components. This requirement supports creating multiple pricing tiers, allowing learners to select the package that best fits their needs, whether it be basic access, advanced materials, or one-on-one onboarding sessions. By providing tiered options, trainers can cater to various learner segments and encourage upselling opportunities while delivering a customizable learning experience.
Acceptance Criteria: Corporate trainers create multiple pricing tiers for a new advanced course within the SkillBridge platform.

Given a corporate trainer, when they select the 'Create Pricing Tier' option, then they can define at least three distinct pricing levels with specific access components and descriptions for each tier.

A learner browses a course with tiered pricing options available and decides to purchase a package.

Given a learner on the course page, when they view the available pricing tiers, then they should see clear differences in features and prices for each tier, allowing informed decision-making.

Corporate trainers adjust pricing for a course based on learner feedback and demand.

Given a trainer has received feedback indicating high demand for a course, when they access the 'Edit Pricing' feature, then they can increase the price for any selected tier and publish the changes successfully.

Learners successfully enroll in a specific tier for a selected course and can access the materials associated with that tier.

Given a learner selects a pricing tier and completes the purchase, when they log into their account, then they should have immediate access to the materials and resources available for that tier.

Corporate trainers run a promotional campaign offering discounts on specific tiered pricing options.

Given the trainers set up a promotion for certain pricing tiers, when the promotion is active, then learners should see the discounted prices reflected on the course page before enrollment.

Corporate trainers analyze the performance of different pricing tiers based on enrollment statistics.

Given a trainer views analytics on course performance, when they access the tiered pricing report, then they should see enrollment numbers and revenue generated for each pricing tier clearly outlined.

Users provide feedback on their chosen pricing tier after course completion.

Given a learner completes their course and accesses the feedback section, when they submit feedback regarding their tiered pricing experience, then the trainer should receive the feedback categorized by pricing tier for evaluation.

Revenue Tracking Dashboard

User Story: As a corporate trainer, I want a dashboard to track my revenue and pricing effectiveness so that I can evaluate the success of my pricing strategies and make data-driven decisions.
Description: The Revenue Tracking Dashboard is a key feature that provides corporate trainers with visual insights into their earnings and pricing effectiveness. This requirement encompasses a comprehensive dashboard that displays real-time data on course sales, revenue trends, and the impact of various pricing strategies. By having a holistic view of their financial performance, trainers can assess the effectiveness of their pricing models and make informed decisions to optimize their pricing strategy.
Acceptance Criteria: Corporate trainers access the Revenue Tracking Dashboard to evaluate the financial performance of their courses after implementing the Dynamic Pricing Model.

Given that the corporate trainer has selected a specific course, when they view the Revenue Tracking Dashboard, then the dashboard displays the total revenue generated for that course over the selected period, along with a breakdown of sales by pricing strategy.

A corporate trainer analyzes the impact of promotional rates on course sales using the Revenue Tracking Dashboard.

Given that promotional rates were applied to a course, when the corporate trainer views the revenue insights in the dashboard, then they should see a noticeable increase in the number of enrollments compared to the period before the promotional rates were applied, along with corresponding revenue figures.

Corporate trainers want to compare revenue trends before and after adjusting their pricing strategies using the Revenue Tracking Dashboard.

Given that the trainer has selected different time frames for analysis, when they request the revenue trends report, then the dashboard displays a comparative graph of revenue before and after pricing adjustments, highlighting any changes in sales patterns and total revenue.

Trainers use the Revenue Tracking Dashboard to identify the most effective pricing strategy for their most popular courses.

Given that the trainer has multiple courses with different pricing strategies, when they view the dashboard, then they should be able to filter the data to display only the best-performing courses, allowing them to easily identify which pricing strategy yielded the highest revenue.

Corporates utilize Revenue Tracking Dashboard insights to forecast future revenues based on historical data.

Given the trainer has sufficient historical sales data, when they utilize the forecasting tool within the dashboard, then the dashboard should generate a projected revenue report based on historical trends, specifying potential future earnings for different pricing scenarios.

A corporate trainer evaluates the effectiveness of learner feedback on pricing strategy adjustments through the Revenue Tracking Dashboard.

Given that the trainer has collected learner feedback on course pricing, when they access the dashboard, then they should be able to correlate positive learner feedback with subsequent changes in enrollment and revenue, demonstrating the impact of feedback on pricing strategies.

Learner Feedback Integration

User Story: As a corporate trainer, I want to integrate learner feedback into my pricing strategy so that I can ensure my courses are optimally priced and meet the needs and expectations of my learners.
Description: The Learner Feedback Integration is designed to collect and incorporate feedback from course participants directly into the pricing strategy. This requirement allows for gathering real-time insights on pricing perception, course value, and learner satisfaction. By leveraging feedback mechanisms, trainers can adjust their pricing strategies based on learner sentiment, ensuring that the courses remain appealing and competitive in the market.
Acceptance Criteria: Trainers access the learner feedback dashboard after each course session to review collected feedback on pricing strategies.

Given that feedback has been collected, when the trainer accesses the dashboard, then they should see real-time insights on pricing perception and learner satisfaction rates above 75%.

Corporate trainers modify their pricing strategy based on the learner feedback gathered after a course concludes.

Given that feedback indicates a demand for lower pricing, when the trainer adjusts their pricing strategy, then the new pricing should be reflected in the course listings within 24 hours.

Trainers utilize the collected feedback to formulate promotional rates for their courses based on learner interest.

Given that feedback shows high interest in a specific course, when promotional pricing is set, then the course should attract at least a 20% increase in enrollments compared to the previous pricing.

Learners receive notifications about changes in course pricing based on their feedback following a course completion.

Given that the pricing has changed, when learners log in to their account, then they should receive a notification regarding the new pricing strategy and its relevance to their feedback.

Trainers analyze feedback trends over multiple sessions to evaluate the overall effectiveness of their pricing strategy.

Given that multiple feedback datasets are available, when the trainer generates a report, then the report should show documented trends in pricing perceptions over the last three courses.

Corporate trainers assess the impact of feedback integration on course sales metrics after implementing new pricing based on learner input.

Given that feedback-driven pricing has been in place for one month, when the trainer reviews sales performance, then they should see an increase in total sales by at least 15% compared to the previous month.

Collaboration Hub

The Collaboration Hub enables trainers to connect and collaborate with educational institutions and industry partners in real-time. Through shared workspaces, trainers can solicit input on course content, brainstorm innovative training methods, and foster partnerships that enhance course relevance and delivery. This feature encourages a collaborative culture, enriching the quality of training resources.

Requirements

Real-Time Collaboration Tools

User Story: As a trainer, I want to collaborate in real-time with educators and industry partners so that we can enhance course content and training methods based on immediate feedback.
Description: The Real-Time Collaboration Tools requirement involves the integration of features that enable instant communication, file sharing, and real-time editing within the Collaboration Hub. This functionality allows trainers, educators, and industry partners to work together seamlessly on course content and training methods. It enhances the collaborative culture by breaking down communication barriers and allowing for immediate feedback and input. The tools will include chat functionality, video conferencing, and collaborative document editing to promote active participation and efficient workflow integration. The expected outcome is to create a more dynamic and responsive training development environment that is aligned with industry needs.
Acceptance Criteria: Trainers and educators need to collaborate on a new course outline in real-time during a virtual meeting, utilizing integrated tools to share ideas and resources effectively.

Given that a trainer initiates a video conference call, when the participants join, then they should be able to share their screens and collaboratively edit the course outline document simultaneously.

A team of trainers wants to gather immediate feedback from industry partners regarding course content while working on a shared document in the Collaboration Hub.

Given that a trainer is editing a course document, when they use the chat functionality, then industry partners should be able to send real-time messages and offer feedback visible to all collaborators in the document.

Educators and trainers aim to brainstorm innovative training methods through a shared workspace, making use of collaborative tools.

Given that participants are in a shared workspace, when they create a new brainstorming document, then all team members should be able to add, edit, and delete entries in real-time with all changes being automatically saved.

A company is conducting a training session and wants to ensure that all communications during the session are captured and documented for future reference.

Given that a video conference is in progress, when the session is concluded, then all chat messages, video recordings, and document edits should be saved and accessible in a shared repository for review.

An educator needs to quickly share files and resources with trainers while they are working on a training proposal in the Collaboration Hub.

Given that a file upload feature is available, when educators drag and drop files into the collaboration workspace, then all participants should instantly receive access to those files and be able to comment on them.

Trainers are working together to finalize a training program, requiring them to communicate and modify their approaches based on immediate interaction.

Given that multiple trainers are editing a single document, when one trainer makes a change, then that change should be reflected in real-time for all participants within a delay of no more than five seconds.

Customizable Workspaces

User Story: As a trainer, I want to customize my workspace within the Collaboration Hub so that I can prioritize the tools and resources I use most frequently during course development.
Description: The Customizable Workspaces requirement facilitates personalized work environments for each trainer and educational institution within the Collaboration Hub. Users will have the ability to customize their dashboards according to their preferences, including tools and resources that are most relevant to their needs. This increases user engagement and productivity, as trainers can access the information and tools they need without unnecessary clutter. By allowing for flexibility in workspace design, trainers can prioritize their work based on specific projects, deadlines, or collaborations, leading to more effective teamwork and improved project outcomes.
Acceptance Criteria: Trainers are logging into the Collaboration Hub for the first time and need to set up their customizable workspace based on their specific training needs and preferences.

Given the trainer accesses the Customizable Workspaces feature, when they select preferred tools and layout for their workspace, then the dashboard should save these settings and reflect the customized workspace upon next login.

An educational institution is collaborating with a trainer and has specific resources they want quickly accessible within their shared workspace.

Given the educational institution's workspace, when they add specific resources and tools to the shared workspace, then all users should see these updates in real-time without needing to refresh the page.

A trainer wants to modify their dashboard layout after receiving feedback from colleagues about the accessibility of tools they use frequently.

Given the trainer is in the workspace settings menu, when they rearrange the positions of tools on their dashboard, then the workspace should reflect the changes immediately and maintain these settings for future sessions.

Trainers are collaborating on a project with strict deadlines and need to prioritize tasks in their workspace for better productivity.

Given the trainer is in their customizable workspace, when they assign priority levels to tasks and projects, then the dashboard should visually distinguish these tasks by priority and show due dates clearly.

A trainer needs to revert to their previous workspace layout after an update failed to meet their expectations.

Given the trainer has made changes to their workspace, when they opt to revert to the previous settings, then the workspace should restore the last saved layout without data loss.

Partnership Management

User Story: As a training coordinator, I want to manage our partnerships with industry organizations so that we can ensure our training content remains relevant and aligned with industry expectations.
Description: The Partnership Management requirement enables trainers and educational institutions to effectively manage their partnerships with industry organizations. This feature will include tools for tracking communication, outlining partnership goals, and managing documents related to partnerships. It promotes accountability and transparency in collaborative efforts by providing a structured system to monitor progress and deliverables. The integration of this feature will enhance the quality of partnerships, ensuring that training programs are continually aligned with industry standards, ultimately benefiting both educators and trainees.
Acceptance Criteria: Real-time Communication between Trainers and Partners

Given that a trainer initiates a partnership discussion in the Collaboration Hub, when they send a message to a partner, then the message should be delivered instantly and a notification should be displayed to the recipient within 3 seconds.

Document Management for Partnerships

Given that a partnership document is uploaded by a trainer, when the document is accessed by any authorized partner, then the document should load within 5 seconds and be editable by users with permission.

Tracking Partnership Goals Progress

Given that a trainer has set partnership goals within the Partnership Management system, when they check their progress, then a visual progress indicator should display the completion percentage of each goal, updated in real-time.

Communication Log Access for Transparency

Given that a trainer wants to review communication history with a partner, when they access the communication log, then all messages exchanged should be listed in chronological order with timestamps and sender information.

Partnership Accountability through Deliverables

Given that a trainer has defined deliverables for a partnership, when they mark a deliverable as complete, then the change should be reflected immediately in both the trainer's and partner's dashboard.

User Role Verification for Document Access

Given that multiple users have access to partnership documents, when a user attempts to view a document they do not have permission for, then a 'Access Denied' message should be displayed and access should be denied.

Feedback Loop on Partnership Quality

Given that a trainer has finished a partnership project, when they submit a feedback form on the partnership experience, then the feedback should be recorded and accessible for future partnership discussions.

Feedback and Evaluation System

User Story: As a trainer, I want to submit and receive feedback on course content and training methods so that we can continually improve and ensure high-quality training resources.
Description: The Feedback and Evaluation System requirement introduces a structured method for trainers and educators to receive and provide feedback on course content and training approaches. This feature will allow users to submit evaluations and suggestions, track changes over time, and view analytics on the effectiveness of training methods. It fosters a culture of continuous improvement based on collaborative insights and data-driven decisions. The implementation of this system is essential for developing high-quality courses that meet the needs of both students and industry partners, reinforcing the value of the Collaboration Hub.
Acceptance Criteria: Trainer submits course feedback and suggestions for improvement through the Feedback and Evaluation System.

Given the trainer has completed a course evaluation, when they submit their feedback, then a confirmation message should be displayed on the interface, and the feedback should be saved in the system with a timestamp.

Educator reviews feedback received on a specific course module through the analytics dashboard.

Given that feedback has been submitted for a course module, when the educator accesses the analytics dashboard, then they should see a summary of the feedback ratings and comments for that module within 5 seconds.

Trainers and educators engage in a real-time discussion about course content modifications based on received feedback.

Given a feedback item is available, when a trainer invites an educator for a discussion in the Collaboration Hub, then both users should be able to converse in real-time and see the feedback item within the shared workspace.

Feedback trends over time are visualized on the analytics dashboard to assess course effectiveness.

Given enough feedback data has been collected over a quarter, when the educator accesses the trends section of the dashboard, then they should see graphical representations of feedback ratings and trends clearly marked over the specified period.

Trainers track the implementation of feedback suggestions in course content.

Given a feedback suggestion has been marked for implementation, when the trainer updates the course material, then the system should display an option to link the updated content to the respective feedback item for tracking purposes.

Users receive notifications when new feedback is submitted on their courses.

Given that feedback has been submitted, when a user logs into the system, then they should receive a notification indicating the new feedback received for their courses within the notifications panel.

The system ensures that all feedback submissions are securely stored and retrievable for auditing purposes.

Given that feedback has been submitted, when the administrator searches for the feedback entry, then the system should return the specific feedback details accurately and securely within 3 seconds.

Integrated Resource Library

User Story: As a trainer, I want access to an integrated resource library within the Collaboration Hub so that I can find relevant materials and enhance my course development without duplicating efforts.
Description: The Integrated Resource Library requirement involves the creation of a centralized database of training materials, industry reports, and educational resources accessible within the Collaboration Hub. This library will be updated with relevant content from all partner organizations, ensuring that all trainers have access to the latest industry information and teaching resources. By creating a shared repository of high-quality materials, trainers can leverage existing content and reduce redundancy in resource creation. This requirement is integral to enhancing the collaborative nature of the platform, resulting in richer training experiences.
Acceptance Criteria: Trainers access the Integrated Resource Library to find up-to-date training materials while preparing for a new course on emerging industry trends.

Given I am a registered trainer, when I access the Integrated Resource Library, then I should see a curated list of training materials, industry reports, and educational resources that are relevant and updated.

Educational institutions search the Integrated Resource Library for reports and resources to design their curriculum aligned with current industry needs.

Given I am an educational institution representative, when I search the Integrated Resource Library using specific keywords, then I should receive accurate search results with the option to filter resources by category or date.

Trainers submit new resources to the Integrated Resource Library for peer review and inclusion in the library.

Given I am a trainer, when I submit a new resource to the Integrated Resource Library, then I should receive a confirmation notification and be able to track the approval status of the submitted resource.

Partnership teams within the Collaboration Hub collaboratively edit training materials using the Integrated Resource Library components.

Given I am part of a partnership team, when I access a training document from the Integrated Resource Library, then I should be able to edit, comment, and share the document with other team members in real-time.

Trainers receive notifications when new resources are added to the Integrated Resource Library.

Given I am a registered trainer, when new resources are added to the Integrated Resource Library, then I should receive a notification via email or in-app alert detailing the new resources available.

Administrators manage the content within the Integrated Resource Library to ensure relevance and quality.

Given I am an administrator, when I review resources in the Integrated Resource Library, then I should be able to approve, reject, or request revisions for submitted materials based on their quality and relevance.

Learner Feedback Loop

The Learner Feedback Loop gathers insightful feedback from participants on course content and delivery. This feature enables corporate trainers to continuously improve their courses based on real user experiences and suggestions. By actively engaging learners in the feedback process, trainers can adapt their offerings to better meet the needs of their audience and enhance overall satisfaction.

Requirements

Feedback Collection Interface

User Story: As a corporate trainer, I want a dedicated space to collect feedback from learners so that I can understand their experiences and improve course content accordingly.
Description: The Feedback Collection Interface is a dedicated space where learners can submit their feedback on course content and delivery. This interface should support multiple feedback formats (text input, ratings, and suggestions) to allow for versatile responses. It is vital for understanding learner experiences and can facilitate the aggregation of data for analysis. The data collected will be used to continuously improve course offerings, align content with learner expectations, and enhance satisfaction. Integration with analytics tools will provide trainers with insights into the effectiveness of their courses, helping them adapt and evolve with learner feedback.
Acceptance Criteria: Learners can easily access the Feedback Collection Interface after completing a course module.

Given the learner has completed a course module, when they navigate to the feedback section, then they should see the feedback collection interface displayed clearly with instructions on how to provide feedback.

The Feedback Collection Interface allows learners to submit feedback in multiple formats.

Given a learner is in the Feedback Collection Interface, when they select the feedback type, then they should be able to submit text input, rate the course on a scale of 1 to 5, and provide suggestions in separate fields.

Trainers can view aggregated feedback data in the analytics dashboard.

Given that feedback has been submitted by learners, when the trainer accesses the analytics dashboard, then they should see a summary of feedback metrics including average ratings, common feedback themes, and suggestions with visual representations.

Feedback submission should confirm that learners’ input has been recorded successfully.

Given the learner has completed the feedback form, when they click the submit button, then they should receive a confirmation message indicating their feedback has been successfully recorded.

The system should notify trainers of new feedback submissions.

Given that new feedback has been submitted by a learner, when the trainer logs into the system, then they should see a notification highlighting the number of new feedback submissions awaiting review.

Learners can revisit the Feedback Collection Interface to edit their feedback within a specified time frame.

Given a learner has submitted feedback, when they return to the Feedback Collection Interface within the designated time frame, then they should have the option to edit their previously submitted feedback.

The Feedback Collection Interface should be responsive and accessible across various devices.

Given a learner is using a mobile device or tablet, when they access the Feedback Collection Interface, then the interface should display correctly and function seamlessly across all devices.

Real-time Feedback Analytics Dashboard

User Story: As a corporate trainer, I want to access a real-time analytics dashboard so that I can quickly gauge learner feedback and make informed decisions to improve course content.
Description: The Real-time Feedback Analytics Dashboard allows trainers to visualize and analyze the feedback data submitted by learners instantly. This dashboard should provide various analytics features such as sentiment analysis, feedback trends, and key areas for improvement. The capability to drill down into specific feedback will empower trainers to make data-driven decisions quickly. By facilitating real-time insights, this requirement ensures that trainers can adapt courses on the fly, responding to learner needs effectively and enhancing overall course quality.
Acceptance Criteria: Trainers accessing the Real-time Feedback Analytics Dashboard to review learner feedback after an online course session.

Given the trainers have completed an online course session, when they access the Real-time Feedback Analytics Dashboard, then they should see updated feedback data with sentiment analysis and trends displayed for the last session.

Analyzing sentiment trends on the feedback analytics dashboard to identify overall learner satisfaction.

Given the dashboard is populated with feedback data, when the trainer views the sentiment analysis graph, then it should display the overall sentiment score accurately representing learner satisfaction over the past two weeks.

Drilling down into individual learner feedback to understand specific comments and suggestions.

Given the trainer wants to explore detailed feedback, when they click on a specific feedback entry, then the dashboard should display the full text of the feedback along with any associated point ratings or tags.

Comparing feedback trends across multiple course sessions to assess improvement over time.

Given the trainer has feedback data from multiple sessions, when they select a date range, then the dashboard should show a comparative trend analysis of key feedback metrics across those sessions.

Evaluating key areas for improvement suggested by learners within the feedback dashboard.

Given the feedback is collected from learners, when the trainer reviews the 'Key Areas for Improvement' section, then it should list the top three actionable suggestions from the most recent feedback received.

Receiving real-time alerts for feedback submissions during a course session.

Given that learners are submitting feedback in real-time, when at least one submission occurs, then the trainer should receive an instant notification on the dashboard indicating a new feedback submission.

Exporting feedback analytics for reporting purposes.

Given the trainer needs to create a report, when they select the 'Export' option on the dashboard, then the system should generate a downloadable report containing all analyzed feedback data in a CSV format.

Feedback Notification System

User Story: As a corporate trainer, I want to receive notifications about new feedback so that I can promptly address learner concerns and make necessary adjustments to my courses.
Description: The Feedback Notification System sends notifications to trainers whenever new feedback is submitted by learners. This system is essential for keeping trainers informed and engaged with learner sentiments. Notifications should include summary insights and highlights of key comments or suggestions, enabling trainers to prioritize areas for immediate action. By fostering an environment of responsiveness and continuous improvement, the notification system encourages a proactive approach to course enhancement.
Acceptance Criteria: Trainers receive notifications when new feedback is submitted by learners in real-time to ensure they can promptly address any concerns or suggestions.

Given a learner submits feedback, when the submission is complete, then the trainer receives an instant notification with a summary of the feedback.

Notifications to trainers should highlight key insights and suggestions from learners to prioritize actions effectively.

Given a feedback submission, when the notification is triggered, then it must include at least three key highlights or suggestions in the summary.

The system should ensure notifications are sent to all relevant trainers associated with a course whenever feedback is received.

Given feedback is submitted on a course, when the notification is generated, then all trainers linked to that course must receive the notification promptly.

Notifications must be delivered through multiple channels (email, in-app, SMS) to cover different preferences of trainers for receiving feedback.

Given feedback is submitted, when the notification is dispatched, then it must be sent via all selected communication channels (email, in-app notification, SMS).

Trainers should have access to a dashboard summarizing all feedback notifications received over a period for easier tracking and review.

Given a trainer accesses the dashboard, when viewing notifications, then they must see a summary of all feedback notifications received within the last month.

The feedback notification system should be able to handle and notify feedback from multiple courses without any delays or errors.

Given feedback is submitted for different courses, when the notifications are generated, then all notifications must be sent without delays or errors for each feedback received.

Feedback Integration to Course Design

User Story: As a corporate trainer, I want an easy process to integrate learner feedback into my course design so that I can continuously improve and meet the expectations of my audience.
Description: The Feedback Integration to Course Design requirement ensures that the feedback collected can be easily integrated into the existing course design process. This will involve creating a streamlined workflow that allows trainers to incorporate insights from learner feedback into current courses or new course development. By integrating feedback into course design, trainers can ensure that their offerings continuously evolve based on learner needs and industry trends, fostering an adaptive learning environment. This alignment will contribute to higher learner satisfaction and better educational outcomes.
Acceptance Criteria: Trainers receive feedback from learners after course completion to analyze the effectiveness of course materials and instruction methods.

Given a completed course, when the feedback form is submitted, then the feedback is automatically compiled in the course analytics dashboard with a report of key insights generated.

Corporate trainers need to access learner feedback to adjust course content for future sessions effectively.

Given feedback has been collected, when trainers access the course design interface, then they can view a summary of learner feedback and easily select which suggestions to implement in the course design.

Learners submit feedback on their learning experience to highlight areas for improvement and suggest new topics or content.

Given learners complete the feedback form, when they provide their suggestions and ratings, then the feedback should be saved to their learner profile and linked to the relevant course for review by the trainers.

Trainers review trends in feedback over multiple sessions to identify recurring themes or issues that need addressing.

Given multiple feedback forms collected over several course offerings, when trainers generate a feedback trend report, then the report should highlight significant trends and areas of concern in an easy-to-read format.

To ensure continuous improvement, trainers implement changes to course design based on learner feedback before the next course begins.

Given a new course session is scheduled, when trainers notify team members of the updates made based on feedback, then a summary of implemented changes should be documented in the course management system.

Anonymity Option for Feedback Submission

User Story: As a learner, I want the option to give feedback anonymously so that I can share my honest opinions without any fear of judgment or repercussion.
Description: The Anonymity Option for Feedback Submission provides learners with the ability to submit feedback anonymously. This is crucial for creating a safe space where learners feel comfortable sharing honest feedback about their experiences without fear of repercussions. The feature should be built into the feedback collection interface and must ensure that no identifying information is captured during the feedback process. This encourages more candid responses and thereby yields more valuable insights for course improvement.
Acceptance Criteria: Learners access the feedback submission interface and can choose to submit their feedback anonymously, ensuring a safe environment for honest responses.

Given a learner is on the feedback submission page, when they select the anonymity option, then the system should not capture any identifying information such as name or email.

Trainers receive feedback submissions that are tagged as anonymous without any identifiers, ensuring their ability to use this information effectively while protecting learner privacy.

Given a trainer views the feedback submissions, when the feedback was submitted anonymously, then the trainer should not see any identifying details of the learner.

Learners feel encouraged to provide feedback due to the anonymity option, which should increase the volume and quality of feedback collected.

Given the anonymity option is enabled, when a learner submits feedback, then the number of feedback submissions should increase by at least 30% compared to previous non-anonymous submissions.

The feedback collection interface clearly communicates the anonymity option to learners, enhancing their understanding of the process.

Given a learner visits the feedback submission page, when they read the instructions, then they should see a clear statement indicating that submissions are anonymous.

The system effectively processes anonymous feedback while maintaining the integrity and relevance of the feedback for course improvement.

Given a trainer analyzes the feedback data, when the feedback is marked as anonymous, then the trainer should still be able to categorize and summarize the feedback effectively without identifiers.

Learners are provided with assurance that their feedback will remain anonymous, thus increasing their trust in the feedback process.

Given the feedback submission page is accessed, when a learner reads the privacy policy, then they should find specific information reassuring them that feedback will not include identifying information.

Learners have the ability to provide constructive feedback while feeling secure due to the anonymity feature, which enhances the overall quality of course evaluation.

Given the anonymity option is available, when learners submit feedback, then at least 80% should report feeling more comfortable providing honest feedback in a post-submission survey.

Certification Integration

This feature allows trainers to incorporate recognized certification paths within their courses, providing learners with the opportunity to earn industry-acknowledged qualifications upon completion. This integration adds significant value to the training programs by enhancing their credibility and appeal to potential learners seeking to improve their employability.

Requirements

Certification Path Management

User Story: As a trainer, I want to manage certification paths within my courses so that my learners have a clear and structured pathway to earn industry-recognized certifications, enhancing their employability upon course completion.
Description: This requirement enables trainers to create, manage, and customize certification paths within the SkillBridge platform. Instructors can define specific qualifications, associate relevant courses, and set prerequisites, ensuring that learners have a clear roadmap to follow that aligns with industry standards. It also allows for updates to certification criteria as industry demands change, maintaining the relevance and value of the certifications offered. This capability enhances the overall functionality of the platform by providing a structured approach to obtaining industry-recognized credentials, thereby attracting more learners and improving their employability prospects.
Acceptance Criteria: Certification Path Creation by Trainer

Given a trainer is logged into the SkillBridge platform, when they navigate to the certification path management section and provide necessary details, then they should be able to successfully create a new certification path that is saved in the system.

Associating Courses with Certification Paths

Given a certification path has been created, when the trainer selects courses to associate with this path, then the courses should be properly linked and displayed under the certification details.

Setting Prerequisites for Certification Paths

Given a certification path exists, when a trainer sets specific course prerequisites, then learners should be required to complete these prerequisite courses before proceeding with the certification path.

Updating Certification Criteria Based on Industry Trends

Given there are changes in industry standards, when a trainer updates the certification criteria within a certification path, then the modifications should be reflected in the system and notify existing learners accordingly.

Accessing Certification Path for Learners

Given a learner is enrolled in a course, when they access their profile, then they should be able to view all relevant certification paths they can pursue along with their progress indicators.

Generating Certification Completion Reports

Given a certification path has been completed by learners, when the trainer requests a completion report, then the system should generate a report detailing the learners who have completed the certification.

Evaluating Certification Path Effectiveness

Given multiple certifications have been awarded, when an analytical report is requested by the administrator, then the report should include statistics on learner outcomes and employability post-certification.

Third-Party Certification Integration

User Story: As a learner, I want to access widely recognized certifications through SkillBridge so that I can enhance my resume and employability after completing my training.
Description: This requirement involves integrating with third-party certification bodies, allowing SkillBridge to offer learners the option to obtain widely recognized certifications upon completion of relevant courses. This integration will facilitate automatic updates of certification requirements and enable seamless communication regarding certification status, expiration, and renewal processes. By including recognized qualifications from recognized organizations, the platform strengthens its value proposition to learners, making courses more appealing and adding credibility to the training programs.
Acceptance Criteria: Certification Path Selection by Trainer

Given a trainer logged into the SkillBridge platform, when they navigate to the course management section, then they should be able to view and select from a list of available third-party certification paths to integrate into their courses.

Automatic Certification Status Updates

Given a learner has completed a course with an integrated certification path, when the certification status is updated by the third-party certifying body, then the learner should receive a notification within the SkillBridge platform regarding their certification status, expiration, or renewal.

Certification Expiration Notification

Given a learner who has an active certification that is nearing expiration, when the expiration date is within 30 days, then they should receive an automated reminder notification via email and within the SkillBridge platform about the upcoming expiration.

Integration of Certification Data

Given the SkillBridge platform is integrated with a third-party certification body, when a learner completes a course, then their certification data (such as certification ID, issue date, and expiration date) should be automatically updated in their SkillBridge profile without manual intervention.

Learner's Certification Dashboard

Given a learner logged into the SkillBridge platform, when they navigate to their profile dashboard, then they should see a dedicated section displaying all their earned certifications along with relevant details such as status, expiration dates, and available actions for renewal.

Admin Management of Certification Integrations

Given an admin user logged into the SkillBridge platform, when they access the certification integration settings, then they should be able to view, add, or remove third-party certification bodies as well as manage integration settings for each certification.

Certification Progress Tracking

User Story: As a learner, I want to track my progress toward certifications on SkillBridge so that I can stay motivated and ensure I complete all the necessary requirements on time.
Description: This requirement enables learners to track their progress toward earning certifications within the SkillBridge platform. Users can view their completion status of required courses, remaining prerequisites, and corresponding deadlines, allowing for better planning and motivation. It includes visual indicators of progress and notifications for approaching deadlines. This feature not only engages learners by keeping them informed but also encourages timely completion of courses, ultimately leading to higher certification attainment rates, which benefits both the users and the training institutions.
Acceptance Criteria: As a learner, I want to view my progress towards earning certifications in real-time, so I can ascertain how much more work is needed to achieve my goals before deadlines.

Given I'm logged into the SkillBridge platform, When I access the Certification Progress Tracking section, Then I can see my current completion status, including completed courses and remaining prerequisites in a visual format.

As a trainer, I need to ensure that all required courses for a certification are tracked efficiently for all learners enrolled in my program, to provide accurate updates about their progress.

Given I'm a trainer on the SkillBridge platform, When I view the progress report of my learners, Then I should be able to see a breakdown of completion status, including overdue courses and upcoming deadlines for each individual learner.

As a learner nearing a certification deadline, I want to receive notifications reminding me of my remaining course completion and prerequisites, so I can plan my study time effectively.

Given I'm a learner with courses that are nearing their deadlines, When the deadlines approach, Then I should receive timely notifications about my remaining courses and any prerequisites still needed for certification.

As an administrator, I want to analyze learner progress data across multiple cohorts for certifications, so I can identify trends and areas needing improvement within the training program.

Given I'm an administrator, When I generate a progress report for the certification pathways, Then the report should include aggregated data on completion rates, average time to achieve certification, and identification of learners at risk of not completing.

As a learner, I wish to view my overall progress towards multiple certifications I am enrolled in, for a comprehensive understanding of my educational journey.

Given I'm logged into my SkillBridge account, When I access the Certifications section, Then I should see a dashboard displaying my progress towards all active certifications, including a percentage indicator and badge for each one.

As a trainer, I need to access the progress of learners in real-time to give them immediate feedback and support, encouraging timely certification completion.

Given I am on the SkillBridge platform, When I check the progress tracking for my learners, Then I should have access to live data on their course completion and current performance metrics to facilitate discussions during coaching sessions.

Certificate Issuance Automation

User Story: As a learner, I want to receive my digital certificate automatically upon completion of my course so that I can immediately showcase my achievement without delay.
Description: This requirement automates the issuance of digital certificates upon successful completion of courses that are part of an integrated certification path. Once learners meet all necessary requirements, the system generates a digital certificate that can be easily downloaded and shared. This automation not only improves operational efficiency, reducing the workload for trainers but also provides learners with immediate recognition of their achievements, reinforcing their motivation and commitment to the course material. This feature adds significant value to the platform by enhancing the overall learner experience.
Acceptance Criteria: Learner successfully completes a certification course.

Given a learner has completed all required modules and assessments of a certification course, when they access their profile, then they should see an option to download their digital certificate.

System processes certificate issuance automatically after course completion.

Given the system is triggered to issue a certificate, when all requirements for course completion are met, then a digital certificate should be generated and made available within 5 minutes.

Learner receives a notification upon certificate issuance.

Given a learner's certificate has been successfully issued, when they log into the SkillBridge platform, then they should receive a notification confirming their certificate is available for download.

Certificate includes all necessary information and branding elements.

Given a digital certificate has been generated, when the learner views or downloads the certificate, then it should display the learner's name, course title, issuer's name, and date of issue, and include the institution's branding.

Certificate can be shared directly from the platform to social media.

Given the learner has downloaded their digital certificate, when they select the share option, then they should be able to post their certificate directly on LinkedIn or other social media platforms.

Admin can view certificate issues for reporting purposes.

Given an admin accesses the reporting dashboard, when they request a report on certificate issuance, then they should see a list of all issued certificates, including learner names, courses, and dates of issuance.

Certification Analytics Dashboard

User Story: As a trainer, I want to access analytics on certification courses so that I can improve course offerings based on learner performance and engagement metrics.
Description: This requirement provides an analytics dashboard for trainers and educators to visualize and analyze certification-related data, including pass rates, completion times, and learner engagement metrics. This dashboard will enable trainers to identify trends and patterns within their certification courses, facilitating data-driven decision-making for course adjustments and improvements. By leveraging this data, trainers can enhance their offerings, ensuring they align with industry needs and improve learner outcomes, thereby adding significant credibility to their programs.
Acceptance Criteria: Certification Analytics Dashboard Access for Trainers

Given a trainer logs into the SkillBridge platform, When they navigate to the Certification Analytics Dashboard, Then they should see an overview of certification-related data including pass rates, completion times, and learner engagement metrics.

Data Visualization in Certification Analytics Dashboard

Given the trainer is viewing the Certification Analytics Dashboard, When they select a specific certification course, Then they should be able to visualize data in various formats including graphs, charts, and tables that depict trends and patterns over time.

Real-time Data Updates in Certification Analytics Dashboard

Given that learner engagement metrics change, When the trainer refreshes the Certification Analytics Dashboard, Then the updated metrics should be displayed without any significant delay.

Export Functionality in Certification Analytics Dashboard

Given the trainer is on the Certification Analytics Dashboard, When they choose the option to export data, Then they should be able to download the certification data in CSV or PDF format.

User Permissions for Certification Analytics Dashboard Access

Given a trainer who has been granted access rights, When they attempt to access the Certification Analytics Dashboard, Then they should be able to view and analyze certification data specific to their courses only.

User Engagement Metrics on Certification Course Completion

Given a learner completes a certification course, When the trainer views the Certification Analytics Dashboard, Then they should see updated learner engagement metrics reflecting completion rates and time taken for each module.

Error Handling in Certification Analytics Dashboard

Given the trainer interacts with the Certification Analytics Dashboard, When there is an issue retrieving data, Then an appropriate error message should be displayed to the user with guidance on how to proceed.

Analytics Dashboard

The Analytics Dashboard provides trainers with comprehensive insights into course performance metrics, including enrollment numbers, completion rates, and learner engagement levels. This data equips trainers with the knowledge needed to refine their content and improve learning outcomes, enabling them to make informed decisions for course development and adjustments.

Requirements

Real-time Data Analytics

User Story: As a trainer, I want to access real-time analytics on my course performance so that I can make timely adjustments to improve learner engagement and success.
Description: The Real-time Data Analytics requirement facilitates the processing and visualization of course performance metrics such as enrollment numbers, completion rates, and learner engagement in an up-to-the-minute format. This functionality combines advanced data processing techniques with user-friendly dashboards, providing trainers and educators immediate access to insights that reflect current course dynamics. By utilizing real-time analytics, trainers will be empowered to identify trends, spot potential issues before they escalate, and make data-driven decisions to enhance learning effectiveness almost instantaneously. Integrating this feature ensures that stakeholders can adapt their strategies based on fresh data, ultimately improving educational outcomes and engagement.
Acceptance Criteria: Trainers access the Analytics Dashboard at the start of a new training session to review current enrollment numbers and adjust their presentation accordingly.

Given the trainer is logged into the SkillBridge platform, when they access the Analytics Dashboard, then they should see real-time enrollment numbers displayed prominently on the dashboard.

A corporate trainer reviews learner engagement metrics during a training session to make immediate adjustments to the course content based on real-time feedback.

Given that the training session is live, when the trainer views the engagement metrics on the dashboard, then they should receive an update every minute reflecting the current engagement levels of participants.

Educators analyze completion rates after a course concludes to determine the effectiveness of the instructional methods used.

Given that the course has officially ended, when the educator accesses the Analytics Dashboard, then they should see the completion rate displayed along with a comparison to previous sessions' metrics on the same dashboard.

A trainer suspected high dropout rates in a specific module and wants to identify when this occurred using real-time data.

Given the trainer is viewing the Analytics Dashboard, when they filter for dropout rates by module over the last week, then they should receive a detailed report highlighting any significant trends or spikes.

Stakeholders look for aggregated insights from various courses to create strategic plans for future training offerings.

Given that multiple courses are completed, when stakeholders access the dashboard, then they should be able to extract aggregated data reports that summarize key metrics across all courses.

A trainer wishes to visualize learner engagement trends over time to understand if engagement strategies are effective.

Given the trainer is accessing the historical data section, when they request the engagement trend report, then they should see a graph displaying learner engagement over a selected date range.

An educator performs a routine check on the analytics dashboard to monitor course performance metrics regularly.

Given the educator accesses the dashboard at different times of the day, when they check the performance metrics, then they should observe that the data updates at least every five minutes to reflect any changes.

Customizable Dashboards

User Story: As a trainer, I want to customize my analytics dashboard so that I can focus on the metrics that matter most to my teaching approach and make informed decisions accordingly.
Description: The Customizable Dashboards requirement allows users to personalize their analytics dashboard by selecting which metrics to display, organizing their layout, and specifying time frames for data analysis. This functionality enhances user experience by ensuring that users can prioritize information that is most relevant to their specific roles or needs. Users can choose to focus on metrics like course engagement, completion rates, or feedback scores while customizing visual elements like graphs and charts. This tailored analytics experience supports deeper insights and more effective teaching strategies, promoting a user-centric approach to data management.
Acceptance Criteria: User customizes their analytics dashboard to display only completion rates and feedback scores for the last month.

Given the user has access to the Analytics Dashboard, when they select the metrics 'Completion Rates' and 'Feedback Scores', then the dashboard should update to show only those metrics with data filtered to the last month.

A user rearranges the layout of their dashboard to prioritize course engagement metrics.

Given the user is on the dashboard customization page, when they drag and drop the 'Course Engagement' graph to the top of their dashboard, then the layout should reflect the new arrangement immediately.

A trainer sets up a dashboard with metrics across multiple time frames for comparative analysis.

Given the user selects 'Enrollment Numbers' and 'Completion Rates' metrics for comparison, when they choose the time frames 'Last Month' and 'Last 3 Months', then the dashboard should display both metrics side by side for the selected time frames.

A user saves their customized dashboard layout for future use.

Given the user has customized their dashboard, when they click the 'Save Layout' button, then the layout should be saved and retrievable upon the user's next login to the platform.

A trainer reviews the analytics dashboard and identifies trends in learner engagement over the selected period.

Given the dashboard displays 'Learner Engagement' data, when the user selects a specific time frame, then the dashboard should accurately show the engagement levels and highlight significant trends in the data.

A user removes a metric from their customized dashboard.

Given the user has an existing dashboard with multiple metrics displayed, when they click the 'Remove' button next to a selected metric, then that metric should no longer be shown in the dashboard after the action is confirmed.

A trainer adjusts the visual elements of a metric chart on their dashboard.

Given the user is customizing their dashboard, when they change the visual representation of the 'Feedback Scores' metric from a bar chart to a pie chart, then the dashboard should update to reflect this change immediately.

Automated Reporting Features

User Story: As a trainer, I want to receive automated reports on my course performance metrics so that I can easily track progress and improvements without manually generating reports.
Description: The Automated Reporting Features requirement enables trainers to schedule reports that compile course performance data and deliver insights periodically, either through automated emails or downloadable files. This feature streamlines the tracking of course effectiveness over time by allowing trainers to receive updates without needing to manually generate reports. By receiving automated reports, trainers and administrators can focus on analysis and decision-making, rather than data collection. This functionality further facilitates the identification of long-term trends and the effectiveness of changes implemented based on analytics.
Acceptance Criteria: Trainers want to schedule automated reports to be generated and sent to their email on a weekly basis to track course performance.

Given a trainer is logged into SkillBridge, when they navigate to the Automated Reporting Features section, then they should be able to select the type of report, frequency of the report (daily, weekly, monthly), and provide email addresses of recipients to schedule the report.

Trainers wish to receive performance reports as downloadable files to analyze offline.

Given the report has been scheduled, when the specified report frequency occurs, then the system should generate the report and provide a downloadable file in CSV or PDF format via email to the specified recipients.

Trainers want to review the contents of the automated reports to ensure all necessary metrics are included.

Given the automated report has been generated, when a trainer opens the report, then it should include course performance metrics such as enrollment numbers, completion rates, and learner engagement levels, accurately reflecting the data from the Analytics Dashboard.

Trainers need to modify existing report schedules to better match their needs.

Given a trainer has scheduled automated reports, when they navigate to the report management section, then they should be able to edit the report schedule, including changing the frequency and recipient email addresses, and save those changes successfully.

Administrators want to monitor the effectiveness of the Automated Reporting Features functionality over time.

Given that trainers have started using the automated reports, when the administrator checks the system logs, then there should be a record of all scheduled reports, including the number of reports generated, successful deliveries, and any reported issues, ensuring transparency and accountability in the feature's usage.

Trainers aim to ensure the automated reports deliver timely insights into course performance.

Given an automated report is scheduled for delivery, when the time for delivery arrives, then the report should be sent out within five minutes, and if there is a failure, the system should notify the trainers with a clear error message.

User Engagement Tracking

User Story: As a trainer, I want to track user engagement with the course materials so that I can identify students who may need additional support and adjust my teaching methods accordingly.
Description: The User Engagement Tracking requirement focuses on providing metrics that illustrate how learners interact with course materials, including time spent on each module, participation in discussions, and feedback submissions. This feature helps trainers understand learners' behavior and engagement levels, which is crucial for enhancing the learning experience. Detailed engagement data supports targeted interventions for students who may be at risk of falling behind while enabling trainers to refine course content based on actual user interaction.
Acceptance Criteria: User Engagement Tracking via Module Interaction Metrics

Given a trainer accesses the analytics dashboard, When they select a specific course, Then they should see a detailed report displaying the time spent by learners on each module, along with average engagement scores.

User Engagement Tracking via Discussion Participation

Given that a course has discussion threads, When a trainer reviews the engagement metrics, Then the dashboard should display participation rates for each discussion, showing the number of contributions and responses by learners.

User Engagement Tracking through Feedback Submissions

Given a trainer has initiated feedback requests, When they check the analytics dashboard, Then they should see the number of feedback submissions and the overall satisfaction rating from learners for each module.

Alerts for At-Risk Students

Given the user engagement metrics, When engagement levels drop below a predefined threshold for a learner, Then the system should trigger an alert for the trainer to take necessary action.

Comparative Analysis of Engagement Data

Given a trainer wants to evaluate course improvements, When they select different time frames, Then they should be able to view comparative data showing changes in engagement metrics over time for analysis.

Customizable Engagement Reports

Given that trainers have unique insights they want to view, When they access the analytics dashboard, Then they should be able to customize their reports to focus on specific metrics such as module completion rates or learner interactions.

Comparative Analysis Tools

User Story: As a trainer, I want to compare performance metrics with other courses so that I can identify best practices and areas for my course improvement.
Description: The Comparative Analysis Tools requirement allows trainers to compare performance metrics across different courses or cohorts within the platform. This feature will enable trainers to benchmark their courses against others, identify best practices, and gain insights into areas for improvement. Being able to analyze performance divergences can highlight effective teaching methods or content areas that may require enhancement, thus fostering continuous improvement across the SkillBridge platform.
Acceptance Criteria: Trainers utilize the Comparative Analysis Tools to compare two different courses that focus on the same skill. They analyze enrollment numbers, completion rates, and engagement levels to determine which course is performing better and why.

Given two courses are selected for comparison, when the Comparative Analysis Tools are utilized, then the dashboard displays the enrollment numbers, completion rates, and engagement levels side by side for both courses.

Trainers wish to benchmark their course against industry standards and other courses offered on the platform. They navigate to the benchmarking section of the Comparative Analysis Tools for further insights.

Given a trainer selects the benchmarking option, when they input their course data, then the system provides a comparative analysis against at least three other similar courses in terms of performance metrics.

After completing a course, trainers want to see the effectiveness of their teaching methods in comparison to others. They employ the Comparative Analysis Tools to explore performance divergences among different cohorts.

Given multiple cohorts have completed their courses, when the Comparative Analysis Tools are accessed, then the dashboard provides visual analytics showing performance divergences and highlights effective teaching methods across different cohorts.

Trainers receive feedback regarding the need for improvements in specific content areas. They access the Comparative Analysis Tools to identify underperforming segments across different courses.

Given a trainer accesses the content analysis section, when they select multiple courses, then the system displays a report detailing underperforming content areas based on learner engagement and completion rates.

Trainers are preparing for their next course development cycle and want to analyze historical data. They utilize the Comparative Analysis Tools for insights into trends over time.

Given historical performance data is available, when the trainer requests an analysis over a defined period, then the system generates a trend report that highlights changes in enrollment, completion rates, and engagement over time.

Trainers need to share insights with their team about the comparative performance of courses for collaborative discussion. They utilize the Comparative Analysis Tools to create a report for a team meeting.

Given the trainer selects the reporting feature in the Comparative Analysis Tools, when they finalize the data selection, then the system generates a customizable report that can be exported and shared with team members.

Trainers want to focus specifically on learner engagement to improve future courses. They utilize the Comparative Analysis Tools to dive deeper into engagement metrics.

Given the engagement metrics are selected for comparison, when the trainer analyzes the data, then the system presents detailed insights regarding learner interaction and feedback for the courses in question.

Interactive Skill Labs

Interactive Skill Labs provide hands-on virtual environments where students can practice skills in real-time under the guidance of experienced facilitators. This feature allows participants to engage in practical exercises, collaborate with peers, and receive immediate feedback, enhancing their understanding and proficiency in trending skills.

Requirements

Real-Time Collaboration

User Story: As a student, I want to collaborate in real-time with my peers and facilitators during skill labs so that I can get immediate feedback and enhance my learning experience.
Description: The Real-Time Collaboration requirement focuses on enabling synchronous interaction among students, facilitators, and peers within the Interactive Skill Labs. This functionality allows users to communicate via chat, video, or voice during sessions, fostering an immersive learning environment. Enhancing student engagement and collaborative learning is crucial, as it helps students receive immediate feedback during practice exercises and enables facilitators to address questions or concerns on the spot. This integration will ensure that participants feel connected and supported throughout their learning experience, ultimately leading to better retention and application of skills in real-world contexts.
Acceptance Criteria: Real-Time Audio and Video Communication During Skill Lab Sessions

Given that I am logged into an Interactive Skill Lab session, when I start a video call, then I should be able to see and hear other participants clearly without significant latency or technical issues.

Text-Based Communication Using Chat Functionality

Given that I am participating in an Interactive Skill Lab session, when I send a message in the chat, then it should appear instantly for all participants without delays, allowing for seamless communication.

Immediate Feedback on Student Exercises

Given that I have completed a practical exercise during an Interactive Skill Lab, when I submit my work for review, then the facilitator should provide feedback within 5 minutes, ensuring timely support for my learning process.

Collaboration Features for Group Projects

Given that I am working on a group project with my peers in an Interactive Skill Lab, when I access the shared workspace, then I should be able to collaborate in real-time, with all changes updated instantly for all group members.

Cross-Device Functionality for Real-Time Collaboration

Given that I am using the Interactive Skill Labs on a mobile device, when I join a session, then I should be able to communicate via audio and video without losing connection or functionality compared to the desktop experience.

Capacity to Handle Multiple Simultaneous Sessions

Given that multiple Interactive Skill Labs are running concurrently, when I attempt to join a session, then I should be able to do so without performance degradation in audio, video, or chat functionalities across all active sessions.

On-Demand Skill Assessments

User Story: As a student, I want the ability to take on-demand assessments in the skill labs so that I can measure my progress and identify areas for improvement.
Description: The On-Demand Skill Assessments requirement allows students to evaluate their proficiency in specific skills at any time during the Interactive Skill Labs. This function will enable students to take assessments tailored to the skills they are developing, receiving instant feedback and recommendations for improvement. Incorporating assessments into the labs not only motivates students to engage more fully in their learning but also provides facilitators with valuable insights into each student's mastery level. This information will assist in personalized learning path adjustments, ensuring every student can acquire the necessary skills to meet industry demands effectively.
Acceptance Criteria: Student engages in an Interactive Skill Lab session and opts to take an on-demand skill assessment relevant to the lab content. The student selects a skill from the provided list and begins the assessment, interacting with the interface to answer questions and complete tasks as required.

Given a student is enrolled in an Interactive Skill Lab, when the student selects an on-demand skill assessment, then the assessment should be accessible, and the student should receive immediate feedback on performance after completion.

An instructor monitors a student during an assessment within the Interactive Skill Lab and reviews the feedback provided to the student post-assessment, aiming to adjust their personalized learning path.

Given an instructor is observing a student taking an on-demand skill assessment, when the student completes the assessment, then the instructor should receive a detailed report on the student's performance and areas for improvement, enabling targeted guidance.

A student completes multiple on-demand skill assessments during a series of Interactive Skill Lab sessions and wishes to track their progress over time to identify areas for growth and mastery.

Given a student has taken multiple on-demand skill assessments, when the student reviews their assessment history, then the student should see a clear dashboard displaying scores, skill areas, and trends over time for better understanding of their learning progression.

Upon completing an on-demand skill assessment, a student is provided with personalized recommendations to improve their skills, based on performance metrics and learning gaps identified during the assessment.

Given a student completes an on-demand skill assessment, when the results are finalized, then the system should automatically generate and display personalized recommendations for further learning resources tailored to the student's identified skill gaps.

A student attempts to take an on-demand skill assessment but experiences technical issues, such as loading errors or system crashes, which prevents the assessment from being initiated or completed.

Given a student attempts to start an on-demand skill assessment, when technical issues occur, then the system should display a user-friendly error message and log the incident for technical support to address promptly.

As part of a continuous improvement effort, the development team reviews feedback from students and instructors regarding the on-demand skill assessments to enhance usability and effectiveness of the feature over time.

Given that students and instructors provide feedback on the on-demand skill assessments, when this feedback is collected, then it should be analyzed to identify common trends and actionable insights, leading to periodic updates and improvements of the assessment system.

In an effort to ensure the robustness of the on-demand skill assessments, the development team conducts a stress test to determine how well the system performs under simultaneous usage by multiple students.

Given many students are accessing the on-demand skill assessments concurrently, when the system is under load, then it should maintain optimal performance with minimal delay or errors, demonstrating reliability during peak usage periods.

Facilitator-Led Feedback Sessions

User Story: As a student, I want to have dedicated feedback sessions with my facilitator after skill lab activities so that I can better understand my performance and receive personalized advice for improvement.
Description: The Facilitator-Led Feedback Sessions are designed to provide dedicated time for facilitators to offer personalized feedback to students after completing their skill lab activities. These sessions will be scheduled within the lab experience and allow for small group discussions or one-on-one interactions. This requirement is crucial for enhancing the learner's understanding of concepts and skills, allowing facilitators to clarify doubts and provide tailored advice based on each student's performance during the lab. The structured feedback component will significantly improve skill acquisition and confidence in applying learned skills, contributing positively to the overall user experience.
Acceptance Criteria: Facilitators conduct feedback sessions after students complete their skill lab activities to clarify doubts and enhance understanding.

Given that a student completes a skill lab activity, When the student joins the feedback session, Then the facilitator provides personalized feedback tailored to the student’s performance within 5 minutes of session start.

Students access their feedback sessions at scheduled times during the skill lab experience.

Given that a student is enrolled in a skill lab, When the schedule for the feedback sessions is released, Then the student can view the feedback session times in their dashboard and receive reminders 10 minutes before the start.

Facilitators engage in small group discussions during feedback sessions to foster collaborative learning.

Given that multiple students are present in the feedback session, When the facilitator starts the discussion, Then all students should have an opportunity to ask questions and contribute to the dialogue, ensuring at least three student interactions per session.

Facilitators record key takeaways from feedback sessions for future reference and improvement.

Given that a feedback session has concluded, When the facilitator saves the session notes, Then the system should automatically store the notes linked to the specific skill lab activity for later access by both the facilitator and students.

Students receive follow-up resources based on the feedback they get in their sessions.

Given that a student finishes their feedback session, When the session ends, Then the system should provide a list of recommended resources tailored to the student’s feedback within 24 hours of the session.

Facilitators assess the effectiveness of the feedback sessions through student surveys.

Given that a feedback session is completed, When the facilitator sends out a survey to the students, Then at least 80% of students should respond to the survey within 48 hours, providing feedback on the session’s effectiveness.

Skill Tracking and Analytics

User Story: As a facilitator, I want to access analytics on student performance in the skill labs so that I can track progress and provide targeted support where needed.
Description: The Skill Tracking and Analytics requirement entails implementing a robust analytics system to monitor each student's progress and engagement within the Interactive Skill Labs. This feature will collect data on participation rates, assessment outcomes, and collaboration metrics, visually presenting trends and insights in an accessible dashboard for both students and facilitators. By providing real-time analytics, stakeholders can identify areas where students excel or face challenges, allowing for timely interventions and adjustments to learning paths. This data-driven approach ensures that SkillBridge remains aligned with the goal of preparing a workforce ready for industry demands and enhances overall program efficacy.
Acceptance Criteria: Skill tracking for a student during a live Interactive Skill Lab session.

Given a student is participating in an Interactive Skill Lab, when they complete the assigned tasks and assessments, then their participation rate and assessment outcomes should be recorded accurately in the analytics system, reflecting a success rate of 80% or higher.

Facilitator reviews the analytics dashboard after a skill lab session.

Given the facilitator has access to the Skill Tracking and Analytics dashboard, when they view the metrics post-session, then they should see real-time data displayed on participation rates, assessment outcomes, and collaboration metrics with clear visual indicators of trends.

Identification of students needing intervention based on analytics data.

Given the Skill Tracking and Analytics system collects data, when this data reveals that a student has less than 50% success in assessments, then the system should flag the student for intervention and notify the facilitator for timely support.

Student engagement metrics during collaborative exercises.

Given students are engaged in collaborative exercises within the Interactive Skill Labs, when they interact with peers, then their collaboration metrics should reflect at least 70% engagement in group activities, as measured by the system.

Timely adjustments to learning paths based on analytics.

Given that analytics data is collected, when significant trends in student performance are identified, then the system should allow facilitators to make real-time adjustments to individual learning paths in less than 10 minutes.

Monthly reporting of skill tracking effectiveness.

Given the Skill Tracking and Analytics system is operational, when a monthly report is generated, then it should include data on overall participation, skill proficiency improvements, and intervention effectiveness, with a satisfaction rate of at least 85% from facilitators indicated.

Expert Q&A Sessions

Expert Q&A Sessions allow students to interact directly with industry specialists during workshops. Participants can ask questions, seek advice, and gain insights from professionals, enriching their learning experience and fostering meaningful connections that can lead to mentorship opportunities.

Requirements

Real-time Q&A Interface

User Story: As a student, I want to engage with industry experts during Q&A sessions so that I can receive tailored advice and insights that enhance my learning experience and help me prepare for my future career.
Description: The Real-time Q&A Interface provides a seamless platform for students to interact with industry experts through live sessions. This requirement ensures that the interface is user-friendly and responsive, allowing students to post questions and receive answers in real time during the workshops. It facilitates engaging discussions, enhancing the learning experience while also enabling professionals to share their insights effectively. The integration with existing tools should be streamlined, ensuring that both students and experts can connect without technical hindrances, ultimately fostering mentorships and deeper understanding of industry practices.
Acceptance Criteria: User initiates a real-time Q&A session during a workshop, connects through the interface, and posts a question to an expert.

Given that a user is logged into the SkillBridge platform and the real-time Q&A interface is active, when the user posts a question, then the question should appear in the queue for expert visibility within 2 seconds.

An industry expert receives a question from a student during a live Q&A session and provides an answer through the interface.

Given that the expert has the Q&A interface open, when a question from a student is selected, then the expert can respond using the interface, and the response should appear to the student within 5 seconds.

Multiple students are interacting with an expert in a real-time Q&A session, and they post questions simultaneously.

Given that multiple students are posting questions, when the expert views the queue, then the interface should display questions in the order they were received, ensuring fair response times for all students.

A student wants to review previous questions and answers after the Q&A session ends.

Given that the Q&A session has concluded, when a student accesses the Q&A history through the interface, then they should be able to view all questions and responses from that session in chronological order.

A technical issue interrupts the real-time Q&A session, affecting user interaction.

Given that a technical disruption occurs, when the session resumes, then all previously posted questions should still be accessible to both the expert and students in the interface without data loss.

An expert reviews student questions during the session to ensure clarity before answering.

Given that the expert identifies unclear questions in the queue, when the expert clicks on a question, then an option should be available to request clarification from the student before answering.

The real-time Q&A interface needs to seamlessly integrate with existing communication tools used by the educators.

Given that the real-time Q&A session is ongoing, when an educator uses their preferred tool to communicate with students, then the Q&A interface should allow effortless switching and integration without logging out of either system.

Expert Scheduling System

User Story: As an educator, I want to schedule Q&A sessions with industry experts easily so that I can provide my students with valuable opportunities to connect and learn from professionals without extensive logistic difficulties.
Description: The Expert Scheduling System allows educators to easily coordinate and schedule Q&A sessions with selected industry experts. This requirement includes a calendar feature that integrates with the experts’ availability to minimize scheduling conflicts, ensuring that students have access to a variety of professionals. By implementing automated reminders and confirmation notifications, the system aims to enhance the experience for both students and experts, encouraging participation and ensuring that each session is well-prepared and maximally productive. This system will help streamline organization and optimize resources effectively for the workshops.
Acceptance Criteria: Educators can access the Expert Scheduling System to view a list of available industry experts along with their time slots for Q&A sessions.

Given an educator accesses the Expert Scheduling System, when they view the list of industry experts, then they should see the experts' names, specialties, and available time slots clearly displayed.

An educator schedules a Q&A session with an industry expert through the Expert Scheduling System.

Given an educator selects a time slot for an industry expert, when they confirm the scheduling, then a notification must be sent to both the educator and the expert confirming the session details.

The Expert Scheduling System sends automated reminders to participants before the scheduled Q&A session.

Given a Q&A session is scheduled, when the session is within 24 hours, then automated reminder notifications should be sent to both the educator and the expert via email.

Educators can view and manage their scheduled Q&A sessions within the Expert Scheduling System.

Given an educator accesses their dashboard, when they look for scheduled Q&A sessions, then they should see a list of all upcoming sessions with options to edit or cancel.

Industry experts can update their availability in the Expert Scheduling System as needed.

Given an industry expert logs into the Expert Scheduling System, when they change their availability, then the updated time slots should be reflected in real-time for educators to view.

Students receive confirmation notifications for their participation in scheduled Q&A sessions.

Given a student is registered for a Q&A session, when the session is confirmed, then a confirmation notification must be sent to the student’s registered email address.

Analytics Dashboard for Q&A Feedback

User Story: As an educator, I want to review feedback and analytics from Q&A sessions so that I can understand student engagement and improve future sessions based on their needs and preferences.
Description: The Analytics Dashboard for Q&A Feedback gathers and presents data regarding student interactions during the Q&A sessions. This requirement is crucial in analyzing engagement levels, feedback ratings, and the quality of responses provided by industry experts. By aggregating this data, educators can gain insights into the effectiveness of the sessions and identify areas for improvement or further topics for discussion. The dashboard should be intuitive, allowing users to visualize data trends easily and make informed decisions to enhance future Q&A sessions, aligning them with student needs and industry standards.
Acceptance Criteria: User accesses the Analytics Dashboard to view engagement levels and feedback ratings for the recent Expert Q&A session.

Given the user is logged into the SkillBridge platform, when they navigate to the Analytics Dashboard, then they should see a summary of engagement levels and feedback ratings for the most recent Expert Q&A session displayed clearly on the dashboard.

Educators analyze the quality of responses provided by industry experts through the dashboard.

Given that the data for student interactions is collected, when the educator filters the analytics for the quality of responses, then they should be able to view detailed insights on each expert's performance including qualitative feedback from students.

User visualizes data trends over time to assess improvement in future Q&A sessions.

Given that multiple Q&A sessions have been conducted, when the user selects a date range in the Analytics Dashboard, then they should see a visual representation of data trends, including engagement and feedback ratings across those sessions over the selected period.

Stakeholders review the dashboard to make informed decisions about future Q&A topics.

Given that the Analytics Dashboard presents the gathered data, when stakeholders refer to the dashboard, then they should be able to identify the most frequently asked questions and topics through clear visual metrics indicating popularity and relevance.

Users receive an alert when feedback ratings drop below a defined threshold after a Q&A session.

Given that feedback ratings are collected from each session, when the average feedback rating falls below the set threshold, then the system should automatically send an alert to the educators that requires an action plan for improvement.

Educators download a report of the analytics data for external review.

Given the user is on the Analytics Dashboard, when they choose the option to download a report, then a comprehensive PDF report containing all relevant metrics and insights from the Q&A sessions should be generated and made available for download.

Users navigate the dashboard to find specific data points easily.

Given that the user is on the Analytics Dashboard, when they use the search feature, then they should be able to quickly locate specific Q&A sessions or metrics related to expert responses or student engagement ratings.

Recording and Archiving of Sessions

User Story: As a student, I want to access recordings of past Q&A sessions so that I can review the content and insights shared by industry experts at my own convenience and reinforce my learning.
Description: The Recording and Archiving of Sessions requirement enables the recording of live Q&A sessions for future reference. This feature provides students who cannot attend live sessions with access to valuable content later, ensuring inclusivity and comprehensive learning. The recordings should be archived systematically and made easily accessible through the platform, allowing students to review discussions at their own pace. This functionality enhances the utility of the Q&A sessions, contributing to the ongoing educational resources available on the SkillBridge platform.
Acceptance Criteria: Recording live Expert Q&A sessions for students who cannot attend in real-time.

Given I am a moderator, when I start the Q&A session, then the recording shall automatically begin and store in a designated archive.

Accessing previously recorded Q&A sessions from the SkillBridge platform by students.

Given I am a registered student, when I navigate to the Q&A archive section, then I should see a list of all recorded sessions sorted by date.

Providing a playback feature for students to review recorded Q&A sessions.

Given I am a student, when I select a recorded Q&A session, then I should be able to play, pause, rewind, and fast forward the video.

Searching for specific topics or keywords within recorded Q&A sessions.

Given I am a student, when I enter a keyword in the search bar, then relevant recorded sessions should be displayed based on the content of the Q&A.

Notification system for newly archived Q&A recordings available on the platform.

Given I am a registered user, when a new recording is archived, then I should receive a notification via email or platform alert that a new session is available.

Ensuring that archived recordings are accessible on various devices (desktop, tablet, mobile).

Given I am a student, when I log in to SkillBridge from any device, then I should be able to access and view archived Q&A sessions without issues.

Multi-Platform Accessibility

User Story: As a student, I want to participate in Q&A sessions from any device so that I can engage with industry experts conveniently and without restrictions based on my technology.
Description: Multi-Platform Accessibility ensures that the Expert Q&A Sessions can be accessed across various devices and operating systems, including desktops, tablets, and smartphones. This requirement focuses on creating a responsive design that adjusts for optimal viewing and interaction regardless of the device used. By ensuring accessibility, the platform can engage a broader audience, making it easier for students and experts to participate in sessions from anywhere. This capability also emphasizes the inclusivity of the SkillBridge platform, allowing users to access educational resources readily.
Acceptance Criteria: User accesses an Expert Q&A session from a smartphone during a lunch break.

Given the user is on a smartphone, when they navigate to the Expert Q&A section, then the session should load within 5 seconds without requiring any additional downloads.

A student joins an Expert Q&A session from a desktop while using a web browser.

Given the student is using a desktop browser, when they connect to the Expert Q&A session, then the video and audio should be clear with no buffering for at least 10 minutes.

An educator accesses an Expert Q&A session using a tablet during a workshop.

Given the educator is using a tablet, when they open the Expert Q&A session, then the interface should adapt to fit the tablet screen without any horizontal scroll bars appearing.

A participant experiences connectivity issues on their device.

Given the participant loses internet connection during an Expert Q&A session, when they reconnect, then they should be able to seamlessly rejoin without losing their place in the session.

A trainee uses a different operating system to access the Expert Q&A session.

Given the trainee is using an alternative operating system, when they join the Expert Q&A session, then the session should function with full features (video, chat, and Q&A) as it does on mainstream systems.

Networking Spaces

Networking Spaces create dedicated virtual areas within workshops for participants to connect and share experiences. This feature encourages informal interactions and discussions among students, corporate trainers, and industry partners, facilitating the development of professional relationships and collaboration opportunities.

Requirements

Virtual Interaction Interface

User Story: As a student, I want to easily connect with corporate trainers and industry partners during workshops so that I can gain valuable insights and establish professional relationships.
Description: The Virtual Interaction Interface requirement focuses on developing a seamless user interface within Networking Spaces that allows participants to engage in text, audio, and video conversations. The interface will be user-friendly and intuitive, providing quick access to features such as one-on-one chats, group discussions, and virtual breakout rooms. This enhancement is vital for facilitating meaningful connections among users, fostering collaboration, and ensuring that each interaction feels personal and engaging. By providing a robust and versatile communication platform, users can build professional relationships that extend beyond workshops, driving long-term engagement and connection in the SkillBridge ecosystem.
Acceptance Criteria: User enters a Networking Space and navigates the Virtual Interaction Interface to initiate a one-on-one chat with another participant.

Given a participant is logged into the Networking Space, when they click on a user profile, then they should see an option to initiate a one-on-one chat, which opens a chat window without delays.

Participants in a Networking Space join a group discussion using the Virtual Interaction Interface to share their experiences related to a workshop topic.

Given multiple participants are in a group discussion, when they use the interface to contribute, then each participant should be able to see their messages in real-time without lag or issues.

A corporate trainer initiates a video call with a group of students in a networking session within the Virtual Interaction Interface.

Given a corporate trainer selects multiple participants for a video call, when the call is initiated, then all selected participants should be able to join the call with clear video and audio quality.

Users want to create virtual breakout rooms for smaller group discussions during a Networking Space workshop.

Given a participant has permissions to create breakout rooms, when they select the breakout room feature, then they should be able to create and manage at least three separate breakout rooms with unique names and invite participants accordingly.

A participant wishes to switch from a video conversation to an audio call in the Networking Space.

Given a user is on a video call, when they click the option to switch to audio-only mode, then their video should stop, and their audio should continue without interruption or sound quality degradation.

Participants use the Virtual Interaction Interface to send text messages during a live workshop.

Given the workshop is ongoing, when participants enter text into the messaging feature, then all messages should be delivered and displayed to all participants in real-time without delays.

Users report feedback on their interaction experience in the Networking Spaces post-event.

Given a user has completed their participation, when they access the feedback form, then they should be able to submit their feedback successfully and receive a confirmation message upon completion.

Event Scheduling Integration

User Story: As a corporate trainer, I want to schedule and notify participants about networking events so that they can plan accordingly and maximize their involvement in workshops.
Description: The Event Scheduling Integration requirement aims to implement a calendar tool that allows workshop organizers to schedule virtual networking events within SkillBridge efficiently. This tool will enable users to view available time slots, receive reminders, and manage their attendance seamlessly. Integrating scheduling capabilities ensures that participants can plan their networking activities effectively, enhancing participation rates. The feature also allows users to sync events with personal calendars, thereby streamlining the process of attending multiple events and maximizing networking opportunities.
Acceptance Criteria: User schedules a virtual networking event through the Event Scheduling Integration.

Given a logged-in user on the SkillBridge platform, when they select a date and time for the networking event and complete the scheduling process, then the event should be successfully created, and the user receives a confirmation notification.

User views available time slots for scheduling a networking event.

Given a logged-in user on the SkillBridge platform, when they navigate to the event scheduling page, then they should see a clear display of all available time slots for scheduling networking events for the selected date.

User receives reminders for scheduled virtual networking events.

Given a logged-in user who has scheduled a networking event, when the event date approaches, then the user should receive automated reminder notifications via email and in-app notifications 24 hours and 1 hour prior to the event start time.

User syncs scheduled networking events with their personal calendar.

Given a logged-in user who has scheduled a networking event, when they select the option to sync the event to their personal calendar, then the event should be added to the user's selected calendar application with all relevant details including date, time, and event link.

User can manage their attendance for scheduled networking events.

Given a logged-in user who has scheduled networking events, when they access the events management page, then they should be able to view, modify, or cancel their attendance for any upcoming networking events.

User accesses past networking event details.

Given a logged-in user, when they navigate to the networking events history section, then they should see a list of all past networking events they attended, including dates, times, and topics discussed.

Feedback Collection Mechanism

User Story: As an industry partner, I want to provide feedback on the networking spaces so that the SkillBridge team can improve the experience for future events.
Description: The Feedback Collection Mechanism requirement focuses on developing a system to gather participant feedback after each networking space activity. This mechanism will include surveys and rating tools, allowing users to share their experiences and suggestions easily. Post-event feedback is essential for continuous improvement, ensuring that the Networking Spaces evolve based on user needs and preferences. Insights garnered from this feedback can aid in refining future workshops, enhancing user satisfaction, and making necessary adjustments to foster an engaging networking environment.
Acceptance Criteria: Participant submits feedback after attending a Networking Space workshop.

Given a participant has completed a Networking Space workshop, when they access the feedback collection mechanism, then they should be able to fill out a survey and rate their experience on a scale of 1 to 5 stars.

Feedback collection is functional for all networking space activities.

Given that the Networking Spaces feature has multiple activities, when users access the feedback collection mechanism, then they should see survey options available for each distinct activity they attended.

Participants receive a confirmation after submitting feedback.

Given a participant has completed the feedback survey, when they submit their responses, then they should receive a confirmation message indicating that their feedback has been successfully submitted.

Admin reviews collected feedback data from networking spaces.

Given that feedback has been collected from multiple participants, when the admin accesses the feedback analysis dashboard, then they should see a summary report of ratings and comments for each activity.

Feedback trends over time can be identified.

Given that feedback is collected after each networking activity, when an admin reviews feedback over a three-month period, then they should be able to identify trends in participant satisfaction and suggestions for improvement.

Participants can provide comments or suggestions in addition to ratings.

Given a participant is filling out the feedback survey, when they reach the comments section, then they are provided with a text box to add suggestions or detailed feedback.

Feedback collection mechanism is mobile-friendly.

Given that participants may access the feedback collection mechanism from various devices, when they open the feedback form on a mobile device, then the form should be fully accessible and easy to navigate without issues.

Participant Directory

User Story: As a student, I want to search for and connect with other participants who share my interests so that I can create valuable networks and learn from their experiences.
Description: The Participant Directory requirement aims to create a searchable database of all workshop participants, including students, corporate trainers, and industry partners. This directory will enable users to easily find and connect with each other based on their skills, interests, and professional backgrounds. By fostering an environment where users can find and reach out to like-minded individuals, the directory enhances the Networking Spaces experience by facilitating targeted interactions. It empowers participants to leverage their networks effectively, thus maximizing the value derived from the SkillBridge platform.
Acceptance Criteria: Participants can search for other workshop attendees based on skills and interests.

Given a participant is logged into the SkillBridge platform, when they navigate to the Participant Directory, then they should be able to search for other participants using filters for skills and interests, and the search results should return relevant participant profiles.

Participants can view profiles of other attendees to facilitate networking.

Given a participant has accessed the Participant Directory, when they select another participant from the search results, then their profile should display the participant's skills, interests, and professional background.

Participants can initiate contact with others through provided communication options.

Given a participant views another participant's profile, when they click on the 'Connect' button, then a dialog should open allowing them to send a message or request a connection, and this action should be logged in their activity history.

The system maintains an updated list of participants in real-time during workshops.

Given a workshop is in progress, when a new participant joins the workshop, then their profile should automatically appear in the Participant Directory without requiring a page refresh.

Participants can report issues or provide feedback on the Participant Directory's usability.

Given a participant encounters an issue or has feedback, when they click on the 'Feedback' button within the Participant Directory, then they should be able to submit their comments, which should be stored in the database for review.

The directory supports role-based access and visibility of profiles.

Given a participant is logged in, when they access the Participant Directory, then they should only see profiles of participants relevant to their role (students see students, trainers see trainers, etc.) unless a specific role visibility setting is enabled.

The directory enables participants to manage their visibility preferences.

Given a participant is viewing their profile settings, when they toggle their visibility preference to 'Visible to All' or 'Visible to Connections Only', then their profile should be updated accordingly and reflected in the Participant Directory search results.

Resource Sharing Feature

User Story: As a corporate trainer, I want to share valuable resources with participants in networking spaces so that we can collaboratively enhance our learning experience and skills.
Description: The Resource Sharing Feature requirement focuses on creating a platform for participants to share educational resources, materials, and relevant documents during networking sessions. This feature will allow individuals to upload, view, and download shared resources easily. Having access to relevant materials enhances the value of the Networking Spaces, encourages collaboration, and promotes knowledge sharing among participants. This capability not only enriches the learning experience but also supports skill development by allowing users to gain access to diverse tools and insights shared by their peers.
Acceptance Criteria: Participants upload and share a resource during a Networking Spaces session.

Given a participant is logged in to the SkillBridge platform, when they navigate to the Networking Spaces section and click on the 'Upload Resource' button, then they should be able to select a file from their device and successfully upload it to the resource library.

Participants view shared resources during a Networking Spaces session.

Given a participant is in the Networking Spaces session, when they click on the 'View Resources' tab, then they should see a list of resources shared by other participants along with descriptions and upload dates.

Participants download a shared resource from the Networking Spaces session.

Given a participant is viewing the list of shared resources, when they click on the 'Download' button next to a resource, then the resource should be downloaded to their device without errors.

Participants receive notifications about new shared resources in the Networking Spaces.

Given a participant is registered for a Networking Spaces session, when a new resource is uploaded, then they should receive a notification in their SkillBridge account and via email (if opted in) informing them of the new resource.

Participants search and filter shared resources in the Networking Spaces.

Given a participant is in the Networking Spaces section, when they enter a keyword in the search bar or apply filters (by date, type, or subject), then the displayed resources should match the search criteria and be updated dynamically.

Participants rate and provide feedback on shared resources.

Given a participant has accessed a shared resource, when they click on the 'Rate Resource' option, then they should be able to submit a rating (1 to 5 stars) and leave a feedback comment that is saved and displayed to other users.

Live Polling and Feedback

Live Polling and Feedback tools enable participants to share their thoughts and opinions during workshops in real-time. This feature fosters engagement by allowing attendees to actively participate in discussions, ensuring the content is relevant and resonates with learners’ needs while also providing valuable insights for trainers.

Requirements

Real-time Polling Integration

User Story: As an educator, I want to utilize real-time polling during my workshops so that I can enhance participant engagement and adapt my teaching based on immediate feedback.
Description: The Real-time Polling Integration requirement focuses on enabling participants to engage in live polls during workshops seamlessly. This functionality will allow users to create quick surveys that can be shared with attendees in real time, giving them the ability to respond instantly. The integration will ensure that poll results are displayed immediately, fostering an interactive environment. It's essential for collecting immediate feedback, gauging understanding, and enhancing participant involvement, which ultimately leads to a more effective learning experience. This requirement supports trainers in adjusting content based on live feedback, making the sessions more relevant and targeted.
Acceptance Criteria: Participants can engage in real-time polling during a virtual workshop to provide instant feedback on the session content and teaching methods.

Given that a poll is created and shared with participants, when they respond to the poll, then their responses should be recorded and displayed in real-time.

Instructors need to analyze participant responses to adjust their teaching in real-time based on the feedback received from live polls.

Given that the live polling results are displayed, when the instructor reviews the results, then they must be able to see the percentage of responses for each option immediately after the polling closes.

The live polling feature should be accessible to all participants in a virtual workshop, ensuring that everyone has the opportunity to respond regardless of their device.

Given that participants are using various devices to join the workshop, when the poll is launched, then all participants must be able to access and respond to the poll without technical issues.

Participants should receive a confirmation message upon submitting their responses to a live poll to ensure they know their feedback was recorded.

Given that a participant submits their poll response, when the response is submitted, then the participant should receive immediate confirmation that their response has been recorded.

The integration must support different types of polling questions (multiple choice, rating scale, open-ended) to provide flexibility in feedback gathering.

Given that a poll creator selects a polling type, when they create a poll, then the system must allow for at least three different polling formats (multiple choice, rating scale, open-ended).

At the end of the workshop, trainers should be able to export and analyze the feedback received from live polls for future improvement.

Given that the workshop has concluded, when the trainer requests to export poll results, then they should be able to download the feedback data in a specified format (CSV, XLSX).

Feedback Collection Dashboard

User Story: As a corporate trainer, I want to access a feedback collection dashboard after every training session so that I can analyze participant responses and refine my future sessions.
Description: The Feedback Collection Dashboard requirement aims to provide trainers with a comprehensive overview of participant feedback collected from live polls and surveys. This dashboard will aggregate data and present insights such as trends, participant sentiment, and areas needing improvement. The functionality will include data visualization tools (graphs and charts) that allow trainers to interpret and utilize feedback effectively. This is critical for the continuous enhancement of training content and delivery, enabling educators and corporate trainers to align their approaches with learners' needs and preferences more accurately.
Acceptance Criteria: Trainers need to access the Feedback Collection Dashboard after a live polling session to review participant feedback.

Given a trainer accesses the Feedback Collection Dashboard, when they select a specific live polling session, then they should see aggregated participant feedback data including trends, sentiment analysis, and actionable insights.

Participants submit feedback through live polls during a workshop, which trainers later review for content improvements.

Given participants submit feedback via live polls, when the feedback is collected, then the dashboard should display real-time updates reflecting the number of participants who provided feedback and the nature of their responses.

Trainers require visual representations of feedback data to present to their stakeholders.

Given the feedback data has been collected, when trainers view the dashboard, then they should see various data visualization tools including graphs and charts to illustrate trends and areas needing improvement effectively.

Trainers need to filter feedback data by specific parameters to analyze feedback in detail.

Given trainers are on the Feedback Collection Dashboard, when they apply filters such as date range, polling question, or participant demographics, then the dashboard should update to display only relevant feedback data according to the selected filters.

The dashboard needs to be user-friendly and intuitive for trainers to navigate without extensive training.

Given trainers are accessing the Feedback Collection Dashboard for the first time, then they should be able to navigate through the features and access insights without requiring additional help or resources.

Feedback is compared across sessions to identify long-term trends in participant engagement and satisfaction.

Given multiple live polling sessions are reviewed, when trainers select the comparison mode in the dashboard, then they should see comparative analytics that highlight trends over time, enabling them to evaluate shifts in participant engagement and satisfaction.

Anonymous Feedback Option

User Story: As a participant, I want an option to provide anonymous feedback during sessions so that I can share my honest opinions without fear of retribution.
Description: The Anonymous Feedback Option requirement ensures that participants can share their opinions and feedback without disclosing their identity. This feature aims to encourage honest and candid responses, as some participants may feel uncomfortable sharing critical feedback publicly. The implementation will include settings that allow users to toggle anonymity during polls. This requirement is crucial for gaining unfiltered insights from participants, which can significantly enhance the quality of the training and foster an open environment conducive to learning.
Acceptance Criteria: Participants access the Live Polling feature during a training session and choose to provide feedback anonymously.

Given a participant accesses the live polling feature, when the participant selects the option for anonymous feedback, then their responses should not reveal any personally identifiable information in the analytics.

In a workshop, a trainer utilizes the live polling system to gauge participant understanding and engagement without knowing who provided which feedback.

Given that the trainer initiates a live poll with the anonymous feedback option enabled, when participants submit their responses, then the trainer should receive aggregated data without access to individual responses.

A participant experiences discomfort due to the visibility of their comments in previous feedback sessions, influencing their willingness to provide honest input.

Given that a participant has previously not submitted feedback due to privacy concerns, when the anonymous feedback option is presented in a new poll, then the participant should feel encouraged to provide open and honest feedback.

The system administrator reviews the poll settings and ensures that the anonymous feedback feature is enabled for all users and sessions.

Given that an administrator accesses the polling feature settings, when the settings allow toggling of anonymity, then the default setting should be set to 'enabled' to encourage transparency.

After submitting an anonymous feedback response, a participant wants to confirm that their identity is protected.

Given that a participant submits feedback with anonymity enabled, when they check their feedback status, then they should see a confirmation message that their feedback was submitted anonymously.

Admin monitors the feedback analytics to evaluate user engagement and sentiment during learning sessions.

Given that the anonymous feedback option is used during multiple training sessions, when the administrator reviews aggregate results, then there should be clear visibility of trends and sentiments without individual identifiers.

Customizable Polling Templates

User Story: As a trainer, I want to create and save customizable polling templates so that I can quickly deploy relevant polls in future workshops without starting from scratch.
Description: The Customizable Polling Templates requirement focuses on allowing trainers to create and save custom polling templates that can be reused across different sessions. Trainers will be able to design questions, select response formats, and personalize the polls according to the specific context of their workshops. This feature will save time and create consistency across multiple sessions while making the polling process more efficient. This requirement addresses the need for adaptable tools that cater to varying teaching strategies and content, improving overall participant engagement.
Acceptance Criteria: Trainer creates a new custom polling template for an upcoming workshop.

Given that the trainer is logged into the SkillBridge platform, when the trainer navigates to the polling section and selects 'Create New Template', then they should be able to input questions, select response formats, and save the template successfully for future use.

Trainer edits an existing polling template to update questions for a specific session.

Given that the trainer has a saved polling template, when they open the template and make changes to the questions or response formats, then they should be able to save those changes successfully without errors.

Trainer reuses a saved polling template in a new workshop session.

Given that the trainer has created a custom polling template, when they start a new workshop and select the reusable template, then all predefined questions and response formats should be loaded accurately and ready to use without modification.

Trainer deletes a polling template that is no longer needed.

Given that the trainer has multiple saved polling templates, when they choose to delete a specific template, then that template should be removed from the list of saved templates without affecting any other templates.

Trainer previews a polling template before finalizing it for a session.

Given that the trainer has created or modified a polling template, when they click on the 'Preview' button, then they should see a full display of the polling questions and response formats as they will appear to participants during the session.

System loads all custom polling templates for a trainer.

Given that the trainer has multiple custom polling templates saved, when they navigate to the polling management section, then all saved templates should be displayed in a list with the option to edit, reuse, or delete each one.

Post-Session Analytics Report

User Story: As a corporate trainer, I want to receive post-session analytics reports so that I can measure the effectiveness of my workshops and make data-driven improvements in future sessions.
Description: The Post-Session Analytics Report requirement delivers in-depth insights and evaluations post-training based on the feedback collected during live polling. This report will include key performance indicators, participant engagement levels, and areas for improvement as identified through the feedback gathered. The analytics report will be generated automatically after each session, giving trainers a clear understanding of participant experiences and outcomes. This is essential for ongoing development and effectiveness of training sessions.
Acceptance Criteria: Post-Session Analytics Report Generation

Given that a live training session has concluded and participant feedback has been collected through live polling, when the system initiates the report generation process, then the Post-Session Analytics Report should be created and accessible to trainers within 10 minutes after session completion, containing all relevant feedback data.

Key Performance Indicators in Report

Given that the Post-Session Analytics Report has been generated, when trainers access the report, then the report should include key performance indicators such as average participant engagement scores, number of responses collected, and percentage of participants who found the session helpful, clearly displayed and easy to comprehend.

Actionable Insights Delivery

Given that the Post-Session Analytics Report is available, when trainers review the report, then it should provide at least three actionable insights for improvement based on the aggregated feedback, ensuring trainers understand areas to focus on for future sessions.

Data Privacy Compliance

Given that participant feedback is collected during live polling, when the Post-Session Analytics Report is generated, then it must ensure that all personally identifiable information (PII) is anonymized or aggregated to comply with data privacy regulations before report distribution.

Accessibility of Reports for Different Users

Given that various stakeholders (trainers, administrators, and educational institutions) need access to the Post-Session Analytics Report, when reports are generated, then the system should allow authorized users to view and download the report in multiple formats (PDF, CSV, etc.), ensuring compatibility with user needs.

Skill Development Tracks

Skill Development Tracks are curated learning pathways within workshops focusing on specific competencies. This feature allows participants to choose personalized workshop experiences based on their goals, ensuring they gain targeted knowledge and skills relevant to their career aspirations.

Requirements

Personalized Learning Pathways

User Story: As a participant in SkillBridge, I want to customize my learning pathway within the Skill Development Tracks so that I can focus on the skills that are most important for my career goals.
Description: Personalized Learning Pathways enable users to select their preferred skills and competencies within Skill Development Tracks, tailoring their learning experience based on individual career goals and aspirations. This requirement will result in enhanced engagement and motivation among participants, as it allows them to focus on the specific skills they want to develop in alignment with industry demands. It integrates smoothly with the overall SkillBridge platform, utilizing data-driven insights to suggest optimal paths, track progress, and provide targeted resources for skill development. The expected outcome is a more effective learning experience that aligns education with individual and market needs.
Acceptance Criteria: User selects a specific skill within a Skill Development Track to personalize their learning pathway.

Given a participant in a Skill Development Track, when they select a specific skill option, then the system should confirm their selection and update their personalized learning pathway accordingly with the new skill.

The system recommends skills based on user career aspirations and market trends.

Given a user profile with defined career goals, when the user accesses the personalized learning pathway feature, then the system should display recommended skills based on the latest industry data and user interests.

Participant views a visual representation of their personalized learning pathway.

Given a completed selection of skills, when the participant accesses their learning pathway, then the system should generate a visual dashboard showing the selected skills, progression markers, and estimated completion time.

The system tracks participant progress through their selected skill pathway.

Given a participant who has started their Skill Development Track, when they complete lessons related to their selected skills, then the system should automatically update their progress and provide a summary of completed modules.

User receives notification of course adjustments based on proficiency assessment results.

Given that a user has undergone a proficiency assessment within their selected skills, when the assessment results are finalized, then the system should notify the user of any recommended adjustments to their learning pathway to optimize skill development.

Participant provides feedback on the personalized learning pathways after completion.

Given that a participant has completed their Skill Development Track, when they access the feedback form, then they should be able to provide feedback on the relevance and effectiveness of their personalized learning pathway as well as suggest improvements.

System evaluates the effectiveness of personalized learning pathways based on user performance post-completion.

Given a user who has completed a Skill Development Track, when their job performance is evaluated within six months post-training, then the system should correlate their skill application and performance metrics to assess the success of the personalized learning pathway.

Real-time Workshop Adjustments

User Story: As a workshop facilitator, I want to make real-time adjustments to the content and structure of my sessions so that I can better meet the needs of participants during Skill Development Tracks.
Description: Real-time Workshop Adjustments allow facilitators and participants to adapt the content and pace of the workshops based on immediate feedback and skill gap analysis. This feature will enhance the effectiveness of the Skill Development Tracks, ensuring that learning aligns closely with participants' needs. By receiving live feedback from participants and utilizing analytics, facilitators can optimize the delivery of the workshops, making necessary adjustments to meet learning objectives. This integration is vital for ensuring that participants engage deeply with the material and attain the specific competencies they seek to master, leading to improved skill acquisition and satisfaction.
Acceptance Criteria: Facilitator receives real-time feedback from participants during a workshop session.

Given a workshop in session, when participants submit feedback through the platform, then the facilitator should see summarized feedback in real-time on their dashboard.

Participants can view adjusted learning paths based on workshop feedback.

Given that the facilitator has made adjustments based on feedback, when participants access their learning paths, then they should see updated content and activities reflecting those adjustments.

Skill gap analysis is conducted and presented live during a workshop.

Given a skill gap analysis is performed prior to the workshop, when the workshop begins, then the analysis results should be displayed to facilitate immediate adjustments by the facilitator.

Facilitator adjusts workshop content and pace based on live analytics.

Given that live analytics are available during the workshop, when the facilitator identifies a need for adjustment, then they can modify the content and pace accordingly and communicate changes to participants.

Participants' satisfaction with workshop adjustments is measured post-session.

Given the workshop has concluded, when participants complete a satisfaction survey, then the feedback should indicate a high level of satisfaction (e.g., 80% or higher) regarding the adjustments made during the session.

Real-time adjustment notifications are sent to participants.

Given that the facilitator makes changes during the workshop, when adjustments are made, then all participants should receive notifications in real-time regarding the updates to the content or pace.

Performance metrics are analyzed after a workshop to assess the effectiveness of real-time adjustments.

Given that the workshop has ended, when the performance metrics are reviewed, then metrics should show improved skill acquisition and engagement scores as a direct result of adjustments made during the session.

Skill Gap Analytics Dashboard

User Story: As a participant in SkillBridge, I want to access a Skill Gap Analytics Dashboard, so that I can understand my strengths and weaknesses and choose the right learning paths to enhance my employability.
Description: The Skill Gap Analytics Dashboard will provide users with insights into their current skill levels compared to industry benchmarks. This requirement focuses on delivering visualizations that highlight strengths and weaknesses, allowing participants to take informed actions on their learning paths. It will enable participants to align their educational pursuits with the most relevant market skills, thus maximizing their employability. By integrating AI-driven analytics, this dashboard will also offer recommendations for additional resources and workshops tailored to bridge identified skill gaps, benefiting both participants and educational institutions alike.
Acceptance Criteria: As a participant using the Skill Gap Analytics Dashboard, I want to view my current skill levels compared to industry benchmarks to understand where I stand in relation to the job market.

Given the participant accesses the Skill Gap Analytics Dashboard, when they input their skills data, then they should see a visual representation of their skills compared to industry standards, including color-coded indicators for strengths and weaknesses.

As a participant, I want to receive tailored recommendations for additional resources and workshops based on my skill gaps identified in the dashboard.

Given the dashboard has completed the skill gap analysis, when the participant views their results, then they should receive a list of at least three recommended resources or workshop opportunities relevant to their identified skills gap.

As an educator, I want to track the overall skill improvement of participants over time through the dashboard metrics.

Given the educator accesses the Skill Gap Analytics Dashboard, when they select a specific participant's data, then they should be able to view a historical graph showing skill improvement or decline over the past six months.

As a corporate trainer, I want to understand the collective skill gaps of my team from the Skill Gap Analytics Dashboard to tailor our training programs accordingly.

Given the corporate trainer accesses the Skill Gap Analytics Dashboard, when they configure the settings to view group data, then they should see a summarized report highlighting the top three skill gaps prevalent among the team members.

As a participant, I want the ability to track my progress over time through the Skill Gap Analytics Dashboard so that I can stay motivated and informed about my development.

Given the participant has logged skills in the dashboard, when they check back after a specified time period, then the system should display the changes in their skill levels along with any new recommendations.

As an administrator, I want to ensure that all data visualizations within the Skill Gap Analytics Dashboard are accurate and up-to-date to support effective decision-making.

Given the administrator reviews the Skill Gap Analytics Dashboard, when they verify the underlying data sources, then the dashboard should reflect real-time data that aligns with the latest skill assessments conducted.

Corporate Trainer Collaboration Tools

User Story: As a corporate trainer, I want to collaborate with educators using dedicated tools within SkillBridge, so that we can collectively develop and refine the curriculum for Skill Development Tracks.
Description: Corporate Trainer Collaboration Tools will facilitate interaction and feedback among educators and corporate trainers, ensuring curriculum relevance and improving workshop effectiveness. This requirement enables trainers to collaboratively develop and review content for Skill Development Tracks, ensuring that learning experiences are current and aligned with industry expectations. Increased collaboration can lead to enhanced workshop quality and better alignment of educational outcomes with workforce needs, ultimately benefiting all stakeholders involved. This integration is crucial for ensuring that skills taught are in line with real-world demands, leading to job-ready graduates.
Acceptance Criteria: Corporate trainers and educators collaborate in real-time to develop a new Skill Development Track during a workshop planning meeting.

Given that corporate trainers and educators are in a meeting, when they collaboratively create content for a new Skill Development Track, then the tools should allow them to edit, comment, and save changes simultaneously, with version control to track modifications.

A corporate trainer requests feedback from educators on the effectiveness of a current Skill Development Track after its initial launch.

Given that a Skill Development Track has been launched, when the corporate trainer sends a request for feedback through the collaboration tools, then educators should receive a notification and be able to provide feedback within 48 hours, reflected in a consolidated report.

Educators and corporate trainers review existing Skill Development Tracks to ensure the content aligns with industry trends.

Given that a review session is scheduled, when educators and trainers access the collaboration tools, then they should be able to view analytics on learner outcomes and industry feedback, with options to suggest content updates based on that data.

A new industry trend is identified, requiring rapid content modification for an active Skill Development Track.

Given that an industry trend is identified, when a corporate trainer submits a request for content modification, then the collaboration tools should facilitate a discussion among involved educators, allowing updates to be made and approved within a specified timeframe of 5 days.

Stakeholders want to analyze the impact of collaborative tools on workshop outcomes.

Given that workshops utilizing collaboration tools have been conducted, when an analysis is performed on participant feedback and job placement rates post-workshop, then there should be at least a 20% increase in positive feedback and job placements compared to previous workshops without collaboration tools.

Educators need to inform corporate trainers about potential gaps in current Skill Development Tracks after a curriculum update.

Given an update in the curriculum, when educators assess the Skill Development Tracks against the update, then they should be able to document any skills gaps identified and communicate them to corporate trainers within 3 days.

Automated Feedback Loop

User Story: As a participant, I want to provide feedback on workshops automatically after they end so that I can contribute to improving future Skill Development Tracks.
Description: The Automated Feedback Loop feature enables continuous feedback collection from participants post-workshop and allows for data-driven insights to inform future Skill Development Tracks. This functionality gathers participant evaluations and outcomes automatically through surveys and assessments, providing valuable insights into the effectiveness of the workshops and areas for improvement. It plays a critical role in enhancing the quality of education delivered via SkillBridge, as it allows for quick adjustments and iterative improvements in the curriculum based on participant experiences. This ensures that the Skill Development Tracks remain dynamic and responsive to learner needs.
Acceptance Criteria: Participant submits feedback immediately after workshop completion.

Given a participant has completed a workshop, when they submit their feedback via the provided survey, then their feedback should be accurately recorded and stored in the system for analysis.

Automated data analysis of participant feedback is conducted post-workshop.

Given the feedback has been collected from participants, when the automated analysis process runs, then it should generate a report highlighting key insights and areas for improvement based on the collected feedback.

Educators access feedback insights for curriculum adjustments.

Given that feedback reports are generated, when an educator accesses the reports, then they should see actionable insights that inform them of participant satisfaction and specific skills needing enhancement.

Real-time feedback monitoring of Skill Development Tracks.

Given that workshops are ongoing, when participants submit feedback during the session, then the feedback should be displayed in real-time on a monitoring dashboard for instructors to view and react to.

Integration of feedback results into future Skill Development Tracks planning.

Given that feedback analysis is complete, when planning for future Skill Development Tracks occurs, then the previous feedback data must be incorporated into the decision-making process for curriculum improvement and workshop structure.

Participants receive confirmation of feedback submission.

Given that a participant submits feedback, when they click the submit button, then they should receive an immediate confirmation message indicating their feedback was successfully submitted.

Collaborative Projects

Collaborative Projects encourage students to work together on real-world challenges during workshops. This hands-on approach not only reinforces practical knowledge but also fosters teamwork and innovation, preparing participants for collaborative work environments in their professional lives.

Requirements

Real-World Challenge Integration

User Story: As an educator, I want to integrate real-world challenges into the Collaborative Projects so that my students can apply their learning in practical situations and develop teamwork skills while addressing actual industry issues.
Description: This requirement involves developing a feature that allows educators to create and integrate real-world challenges into the Collaborative Projects module. Educators will be able to define project parameters, set objectives, and ensure that these challenges align with both coursework and industry trends. This functionality will enhance the learning experience by ensuring that students engage with relevant issues, thus bridging the gap between theoretical knowledge and practical application. It will also support educators in assessing student collaboration and problem-solving skills in authentic contexts.
Acceptance Criteria: Educators can create a real-world challenge that aligns with a specific course module to enhance the learning experience.

Given an educator has access to the Collaborative Projects module, when they create a real-world challenge with defined parameters and objectives, then the challenge should be successfully saved and linked to the appropriate course module.

Students can view and engage with real-world challenges integrated into their course materials during workshops.

Given that a real-world challenge has been created and linked to a specific course, when students access their course materials, then the real-world challenge should be visible and accessible for participation.

Educators can assess collaboration and problem-solving skills based on student interactions with the real-world challenge.

Given that a real-world challenge is active and students are working on it, when the educator views the assessment tools provided, then they should be able to evaluate student contributions and collaboration metrics effectively.

The system should ensure that real-world challenges are updated based on the latest industry trends and feedback from educators and students.

Given that an educator requests an update to the challenge parameters, when the request is submitted with industry-relevant criteria, then the system should reflect the updates and notify all affected students.

Educators can share the real-world challenges with corporate partners for feedback and collaboration.

Given an active real-world challenge, when an educator initiates sharing with corporate partners, then those partners should receive notifications and access to provide input on the challenge parameters.

Integrated real-world challenges should support various assessment methods to evaluate learning outcomes.

Given that a real-world challenge is live, when educators select assessment methods, then they should be able to choose from various types (peer review, self-assessment, etc.) and apply them to measure learning outcomes.

Team Collaboration Tools

User Story: As a student, I want to have access to team collaboration tools in the Collaborative Projects module so that I can communicate effectively with my teammates and manage our project more efficiently.
Description: The requirement focuses on creating a suite of collaboration tools that will facilitate effective communication and project management among students during their Collaborative Projects. These tools will include chat functionality, document sharing, task assignment, and the ability to track progress on project milestones. By incorporating these features, students will be able to work more cohesively, manage their projects efficiently, and develop important collaborative skills that are essential in today’s workplace.
Acceptance Criteria: Real-time Chat Functionality for Student Projects

Given a group of students working on a collaborative project, when they access the chat tool, then they should be able to send and receive messages instantly, with a visible online/offline status indicator for each participant, and no more than 2 seconds of delay in message delivery.

Document Sharing and Collaboration

Given a team of students working on a project, when they upload a document to the collaboration tool, then all team members should have immediate access to the document, can view changes in real-time, and the system should track the version history of the document with timestamps.

Task Assignment and Progress Tracking

Given a project assigned to a team of students, when a team member assigns a task to another member, then the system should notify the assigned member via chat and update the project dashboard to reflect the task's current status with an estimated completion date.

Integration of Project Milestones

Given a collaborative project with defined milestones, when a student marks a milestone as complete in the project management tool, then the milestone should update the overall project status, and notify team members to review the completed work.

User Access and Permissions Management

Given a project team formed within the collaboration tools, when the team leader adds or removes a member, then the system should immediately update access permissions for all tools associated with the project for the new and departing members without system downtime.

Analytics and Reporting on Collaboration Effectiveness

Given completed projects from multiple teams, when an educator reviews the analytics dashboard, then they should be able to assess project engagement metrics, task completion rates, and team communication frequency to evaluate collaboration effectiveness.

Notification System for Project Updates

Given ongoing projects, when any changes or updates occur (task assignment, document updates, progress tracking), then all team members should receive instant notifications through the designated communication channels (chat, emails), ensuring everyone is updated promptly.

Peer Review System

User Story: As a student, I want to participate in a peer review system within the Collaborative Projects so that I can receive constructive feedback on my work and learn from my peers’ perspectives.
Description: Implement a peer review system that enables students to give and receive feedback on each other’s contributions in Collaborative Projects. This system will provide a structured way for students to evaluate their peers based on predefined criteria, fostering a culture of constructive criticism and mutual learning. This requirement is vital for enhancing student engagement, encouraging active participation, and developing their ability to assess and critique work in a professional manner.
Acceptance Criteria: Students provide feedback on peer contributions during a Collaborative Project workshop using the newly implemented peer review system.

Given that students are participating in a Collaborative Project, when they access the peer review system, then they can provide feedback on at least three peers' contributions based on predefined criteria.

Students receive constructive feedback from peers within the peer review system, aimed at enhancing their performance in Collaborative Projects.

Given that a student has submitted their work, when the review period ends, then they should receive feedback from at least three peers, each detailing specific strengths and areas for improvement.

Instructors monitor the peer review process to ensure it fosters constructive feedback and engagement among students.

Given that instructors are overseeing a Collaborative Project, when they access the peer review reports, then they can view feedback distribution and overall assessment scores for each student involved in the project.

Students complete their peer review submissions within the designated timeframe during the Collaborative Project.

Given that the peer review period is open, when the deadline arrives, then 90% of students should have submitted their peer reviews on time.

The peer review system integrates smoothly with existing Learning Management Systems (LMS).

Given that the peer review feature is accessed via the LMS, when students log in, then they should be able to navigate to the peer review system without encountering technical issues or delays.

Feedback provided through the peer review system is constructive and aligned with the defined criteria for evaluation.

Given that students are conducting peer reviews, when they provide feedback, then 80% of the feedback comments should meet the criteria of being specific, actionable, and related to the submission.

Progress Analytics Dashboard

User Story: As an educator, I want an analytics dashboard for Collaborative Projects so that I can monitor student progress and engagement levels, allowing me to adjust my teaching strategies as needed.
Description: The requirement involves creating an analytics dashboard that provides educators and students with insights into the progress of Collaborative Projects. This dashboard will feature key performance indicators such as project completion rates, student engagement levels, and individual contributions. By having access to these analyses, educators can better understand student dynamics and adapt instructional strategies accordingly, while students can monitor their own progress and identify areas for improvement.
Acceptance Criteria: View Overall Project Completion Rates

Given the dashboard is accessed by an educator, when they select the Collaborative Projects view, then the educator should see overall completion rates for all projects displayed in a clear and concise chart.

Analyze Student Engagement Levels

Given the dashboard displays individual project details, when a student accesses their project, then they should see their engagement levels represented through various metrics, such as time spent and contributions made, in an easy-to-read format.

Monitor Individual Contributions

Given the dashboard is utilized by an educator, when they click on a specific project, then the educator should be able to see a list of all students involved with their respective contributions displayed next to their names.

Real-Time Data Updates

Given the dashboard is in use, when a student updates their contribution to a project, then the data displayed on the dashboard should refresh automatically to reflect the new information without requiring a manual refresh.

Filter Data by Date Range

Given the dashboard is accessed, when an educator selects a specific date range from the filter options, then only the progress data within that date range should be displayed on the dashboard.

Export Analytics Reports

Given the analytics dashboard, when an educator clicks on the export button, then a downloadable report in CSV format should be generated, containing all relevant metrics and data related to the progress of Collaborative Projects.

User Access Permissions

Given the dashboard is implemented, when a user without educator permission tries to access project analytics, then they should receive an error message indicating insufficient permissions to view the requested data.

Resource Library

User Story: As a student, I want access to a resource library in the Collaborative Projects to help me find relevant information and materials that will support my work on team projects.
Description: Establish a resource library within the Collaborative Projects feature that offers students access to relevant materials, tools, and references needed for their projects. This library will be curated by educators and include industry reports, case studies, and multimedia resources that can support students in their project work. By encouraging self-directed learning and providing necessary tools, this requirement aims to enhance students' research skills and enable them to produce higher-quality outcomes in their projects.
Acceptance Criteria: Accessing the Resource Library as a Student

Given a student is logged into the SkillBridge platform, when they navigate to the Collaborative Projects feature, then they should see an option to access the Resource Library containing curated materials relevant to their project.

Searching for Specific Resources in the Library

Given a student is in the Resource Library, when they use the search functionality to find materials related to a specific topic, then the search results should display relevant industry reports, case studies, and multimedia resources.

Downloading Resources for Use in Projects

Given a student finds a relevant resource in the Resource Library, when they click the download button, then the resource should begin downloading to their device without errors and in a compatible format for use.

Educator’s Role in Curating the Resource Library

Given an educator is logged into the SkillBridge platform, when they access the Resource Library management interface, then they should be able to upload new resources, categorize existing resources, and delete outdated materials.

Feedback Mechanism for Resource Quality

Given a student has used resources from the library, when they provide feedback on a resource, then the feedback should be saved and accessible to educators for review and improvement purposes.

Tracking Resource Usage Analytics

Given the Resource Library is live, when administrators review analytics, then they should see metrics showing how many students accessed specific resources and the frequency of downloads.

User Experience and Navigation in the Resource Library

Given a student accesses the Resource Library, when they explore the available materials, then the library should be user-friendly with clear categories and an intuitive design that enhances navigation.

Workshop Resource Hub

The Workshop Resource Hub provides participants with access to supplementary materials, including recorded sessions, reading lists, and additional learning resources. This feature ensures that students can revisit workshop content at their convenience, solidifying their learning and enabling continuous skill improvement.

Requirements

Resource Upload Functionality

User Story: As an educator, I want to upload supplementary materials to the Workshop Resource Hub so that participants can access relevant resources at their convenience.
Description: The Resource Upload Functionality allows educators and trainers to upload various types of supplementary materials to the Workshop Resource Hub. This includes recorded sessions, PDFs, video files, and links to external resources. Ensuring that these materials are easily categorized and searchable is critical for the overall efficacy of the hub. By allowing easy upload and management of materials by educators and trainers, this requirement helps maintain a dynamic and up-to-date repository of learning resources, enhancing the user experience and fostering continual learning and skill development for participants.
Acceptance Criteria: Educators and trainers accessing the Resource Upload Functionality to upload a new recorded workshop session with a maximum file size of 500MB during the designated upload period.

Given the educator is logged in to the SkillBridge platform, when they navigate to the Resource Upload section and select a recorded session file under 500MB, then the file should successfully upload without errors and be displayed in the Workshop Resource Hub.

A student revisiting the Workshop Resource Hub to access supplementary materials after a workshop session has ended, searching for a specific video resource uploaded by an educator.

Given the student is logged in to the SkillBridge platform, when they use the search function in the Workshop Resource Hub to find the specific video resource, then the search should return the correct resource in under 3 seconds with the appropriate metadata.

Educators categorizing uploaded resources into predefined categories to ensure that materials are easily searchable and organized within the Workshop Resource Hub.

Given an educator has uploaded multiple resources, when they categorize these resources, then the resources should automatically sort into the selected categories and remain accessible under their respective categories.

A corporate trainer uploading a PDF reading list and linking it to an external resource in the Resource Upload Functionality to enhance participant materials.

Given the corporate trainer is logged in, when they upload a PDF file and provide a link to an external resource, then both resources should become available in the Workshop Resource Hub with correct downloadable options for users.

Evaluators testing the Resource Upload Functionality to ensure error handling for unsupported file types during the upload process.

Given an educator attempts to upload an unsupported file format, when the upload is executed, then they should receive an error message indicating that the file type is not supported without crashing the application.

Participants accessing the Workshop Resource Hub to verify the availability and integrity of uploaded resources post-upload.

Given the resources have been uploaded by the educator, when participants access the Workshop Resource Hub, then all uploaded resources should be accessible and functional, including the ability to play videos and download PDF files without issues.

Search and Filter Capabilities

User Story: As a participant, I want to search for specific learning materials in the Workshop Resource Hub so that I can quickly find relevant resources that support my learning goals.
Description: The Search and Filter Capabilities enable users to quickly locate specific resources within the Workshop Resource Hub. Participants should be able to search by keywords, resource type, or date added. This enhances usability by allowing users to find exactly what they need without sifting through unrelated materials. Implementing this feature is essential for providing participants with a streamlined experience, increasing engagement, and ensuring that the learning process is efficient.
Acceptance Criteria: User searches for a recorded session from a previous workshop using specific keywords.

Given the user is on the Workshop Resource Hub, When they enter a keyword that matches the title of a recorded session in the search bar, Then the system should display a list of resources that include the recorded session matching the keyword.

User filters resources by resource type, such as 'Video', 'Article', or 'PDF'.

Given the user is on the Workshop Resource Hub, When they select the 'Video' filter from the resource type options, Then the system should display only the resources categorized as videos, excluding all other types.

User wants to view all resources added in the last month.

Given the user is on the Workshop Resource Hub, When they apply the filter for 'Date Added' to show resources from the past month, Then the system should display only those resources that meet the date criteria.

User searches for a resource that does not exist in the system.

Given the user is on the Workshop Resource Hub, When they enter a keyword that does not match any existing resources, Then the system should display a message indicating that no resources were found.

User combines keywords with date filters to find specific resources.

Given the user is on the Workshop Resource Hub, When they enter a keyword and select a date range, Then the system should return only the resources that match both the keyword and the specified date range.

User interacts with the search functionality on mobile devices.

Given the user is accessing the Workshop Resource Hub on a mobile device, When they perform a search using the search bar, Then the system should return relevant resources without any usability issues on the mobile interface.

User retrieves a list of all available reading resources for a workshop.

Given the user is on the Workshop Resource Hub, When they select the filter for 'Reading List,' Then the system should display all resources categorized as reading materials for the relevant workshops.

User Feedback and Rating System

User Story: As a participant, I want to rate and provide feedback on the resources I access so that the educators can improve the quality of materials available in the Workshop Resource Hub.
Description: The User Feedback and Rating System allows participants to provide feedback on the supplemental resources available in the Workshop Resource Hub. Users can rate materials on a scale and leave comments regarding their effectiveness and relevance. This requirement is vital for gathering insights on resource quality, enabling continuous improvement of the materials offered, and fostering a community of collaboration between users and educators. It also helps educators understand which resources are most beneficial for participants.
Acceptance Criteria: User provides feedback on a recorded workshop session after viewing the session and considering the supplementary materials provided in the Workshop Resource Hub.

Given a user has accessed the Workshop Resource Hub and viewed a recorded workshop session, when they select the feedback option, then they should be able to rate the session on a scale of 1 to 5 stars and submit optional comments about its effectiveness.

Educators review aggregated feedback from multiple users on a specific workshop material to assess its effectiveness and relevance.

Given multiple users have submitted feedback on a specific material, when an educator accesses the feedback report, then the report should display average ratings, the number of ratings received, and a summary of the comments.

User attempts to submit feedback but does not provide a rating or comment, leading to an error notification.

Given a user has accessed the feedback form but leaves both the rating and comments fields blank, when they click the submit button, then an error message should appear prompting them to provide at least one form of feedback (rating or comment).

User wants to edit their feedback after submitting it to improve its clarity and relevance based on further reflection after the workshop.

Given a user has submitted feedback on a workshop session, when they access their feedback history and select the edit option, then they should be able to change their rating and comments and resubmit their feedback successfully.

Users navigate to the Workshop Resource Hub to view feedback on a specific resource to help decide if they want to utilize it for their learning.

Given a user is on the Workshop Resource Hub page, when they select a specific resource, then the user should see an overview of the average rating and a list of recent comments provided by other users.

System administrators want to monitor the overall user engagement and satisfaction with the Workshop Resource Hub materials.

Given the User Feedback and Rating System is implemented, when an administrator generates a report, then the report should include metrics on average ratings, total feedback submissions, and comments over a specified time period.

Automated Notification System

User Story: As a participant, I want to receive notifications about new resources in the Workshop Resource Hub so that I can stay current with the latest learning materials available.
Description: The Automated Notification System sends alerts to participants whenever new resources are uploaded to the Workshop Resource Hub or when there are updates to existing materials. This feature ensures that users are kept up-to-date with the latest content and promotes ongoing engagement with the learning materials. Notifications can be customized based on user preferences, creating a personal touch and fostering consistent interaction with the hub.
Acceptance Criteria: User receives a notification when a new resource is uploaded to the Workshop Resource Hub.

Given a user is registered for workshops, When a new resource is uploaded, Then the user receives a notification via their preferred communication channel (email, SMS, or in-app).

User receives a notification when existing resource materials are updated in the Workshop Resource Hub.

Given a user has accessed resources in the Workshop Resource Hub, When a resource is updated, Then the user receives a notification about the update reflecting the changes made.

Users can customize their notification preferences for resource updates in the Workshop Resource Hub.

Given a user is in their account settings, When they choose notification preferences, Then the user can opt for email, SMS, or in-app alerts for resource additions and updates.

Notifications should include essential information about newly uploaded resources.

Given a user receives a notification about a new resource, Then the notification must include the title of the resource, the type of resource (video, document, etc.), and a brief description.

Users can view a history of notifications received about the Workshop Resource Hub resources.

Given a user accesses the notification history section, Then they should see a list of all notifications received regarding new and updated resources with timestamps.

Notifications are sent based on user-defined schedules or immediacy preferences.

Given a user selects their notification timing preferences, When a new resource is added, Then notifications are sent immediately or at scheduled intervals as set by the user.

Integration with Learning Management System (LMS)

User Story: As an instructor, I want the Workshop Resource Hub to integrate with my existing LMS so that I can manage resources and track participant progress in a unified platform.
Description: The Integration with Learning Management System (LMS) requirement allows seamless data synchronization between SkillBridge and external LMS platforms. This integration ensures that instructors can easily track participant progress, manage course assignments, and share resources within familiar environments. It enriches the Learning experience by allowing participants to access the Workshop Resource Hub directly through their LMS, representing a centralized approach to learning management and fostering usability.
Acceptance Criteria: Data Synchronization Upon LMS Enrollment

Given a participant is enrolled in a workshop in the SkillBridge platform, when the integration is enabled, then the participant's details, including progress and course assignments, should automatically synchronize with their LMS.

Accessing Workshop Resource Hub through LMS

Given a participant is logged into their LMS account, when they navigate to the course associated with the SkillBridge workshop, then they should have direct access to the Workshop Resource Hub without additional authentication.

Tracking Progress in LMS

Given the data synchronization is active, when an instructor views the participant's progress in the LMS, then they should see up-to-date metrics reflecting the participant's activity and completion status in the SkillBridge platform.

Resource Sharing within the LMS

Given that workshop resources are available in the SkillBridge platform, when an instructor publishes resources through the LMS, then all participants enrolled in the workshop should have access to those resources directly within their LMS interface.

Error Handling for Data Sync Failures

Given the integration is in place, when a data synchronization error occurs, then the system should log the error details and notify the administrators via email or alert in the LMS.

User Experience Testing for LMS Integration

Given that the integration has been implemented, when a user tests the experience of accessing SkillBridge features through the LMS, then they should provide positive feedback regarding ease of access and functionality in a usability survey with a score of 4 or higher on a 5-point scale.

Customization of Workshop Content in LMS

Given the integration with an LMS, when an instructor customizes workshop content in SkillBridge, then those changes should reflect immediately in the LMS for all participants without delay.

Skill Gap Heat Map

The Skill Gap Heat Map visually represents skill shortages across different regions and industries in a color-coded format. This feature enables corporate trainers and educational administrators to easily identify high-demand skills and regional trends, facilitating data-driven decisions on where to focus training efforts and resource allocation.

Requirements

Dynamic Skill Gap Analysis

User Story: As a corporate trainer, I want a real-time analysis of skill gaps so that I can quickly adapt my training programs to meet the demands of the industry.
Description: This requirement involves implementing an AI-driven dynamic analysis tool that continuously assesses and updates the skill gaps in real-time based on industry trends and regional data. This feature is essential for ensuring that both educators and corporate trainers have access to the most relevant and current data regarding skill shortages, allowing for timely adjustments in course content and training programs. The analysis will be presented through interactive dashboards, highlighting areas of urgent need and guiding targeted training initiatives.
Acceptance Criteria: Real-time skill gap analysis during a quarterly review meeting with corporate trainers and educational administrators.

Given the dynamic skill gap analysis tool is implemented, when the quarterly review meeting begins, then the interactive dashboard should display current skill gaps updated within the last week, color-coded by urgency and need.

Usage of skill gap heat map by educational institutions to prepare training programs.

Given that the skill gap heat map is fully integrated, when an educational administrator accesses the heat map, then they should be able to view regional skill gaps and corresponding industry needs in a color-coded format without technical errors.

Integration of AI-driven analysis into business intelligence tools utilized by corporate trainers.

Given the AI-driven dynamic analysis tool is integrated, when corporate trainers access their business intelligence tool, then the skill gap data should reflect real-time updates and be usable for creating training programs.

Reporting on skill gap trends for strategic planning purposes.

Given the reporting feature for skill gap trends is developed, when an educational administrator generates a report, then it should include at least three months of historical data and highlight significant trends in skill gaps.

User feedback on the effectiveness of the dynamic skill gap tool over a six-month period.

Given the user feedback mechanism is in place, when users submit feedback on the dynamic skill gap tool, then at least 80% of responses should rate the tool as effective or highly effective for their training needs.

Real-time notifications for newly identified skill gaps to trainers and educators.

Given the real-time notification system is activated, when new skill gaps are identified by the AI analysis, then trainers and educators should receive notifications within two hours of the analysis completion.

Daily updates of skill gap data presented in an interactive format.

Given the dynamic skill gap analysis has been implemented, when the platform is accessed, then the skill gap data should be updated and displayed interactively at least once each day.

Customizable Reporting Tools

User Story: As an educational administrator, I want to generate customizable reports on skill gaps so that I can make informed decisions regarding curriculum development and resource allocation.
Description: This requirement focuses on developing customizable reporting tools that enable users to generate tailored reports based on specific regions and industries. Users should be able to select criteria such as timeframes, skill categories, and performance metrics to create reports that meet their unique needs. The ability to customize reports will empower educators and corporate trainers with insights that are directly applicable to their training programs and resource allocation strategies.
Acceptance Criteria: User generates a report on skill gaps in the technology sector for Q1 2025.

Given the user selects the technology sector and sets a timeframe to Q1 2025, when the user requests the report, then the system should generate a report displaying skill gap data specific to the technology industry for that timeframe.

User customizes a report by selecting multiple skill categories including programming languages and data analysis.

Given the user selects multiple skill categories and submits the report request, when the user views the report, then the system should display the report accurately reflecting the selected skill categories and their respective data.

User saves a customized report after adjusting filters for region and performance metrics.

Given the user has customized a report with specific filters for region and performance metrics, when the user clicks the save button, then the system should successfully save the report and allow the user to access it later.

User views a report generated on soft skills across all regions for the last 12 months.

Given the user chooses 'Soft Skills' from the skill category and 'Last 12 Months' from timeframe options, when the report is generated, then the resulting report should display accurate data on soft skills across all chosen regions.

User prints a report that includes graphical representations of skill gaps and metrics.

Given the user has generated a report with graphical data, when the user selects the print option, then the system should produce a printed copy of the report, including all graphical representations and metrics.

User exports the customized report in various formats including PDF and Excel.

Given the user has generated a customized report, when the user selects the export option and chooses a format (PDF or Excel), then the system should successfully export the report in the selected format.

Interactive Regional Maps

User Story: As a corporate trainer, I want to interact with a regional map of skill gaps so that I can identify specific areas where training efforts are most needed.
Description: This requirement involves integrating interactive maps into the Skill Gap Heat Map feature, allowing users to visualize skill shortages across different regions. Users should be able to zoom in and out, click on specific regions, and view detailed skill gap data, including historical trends and predictions. This functionality will enhance user engagement and provide deeper insights into regional disparities in skill availability, fostering targeted training initiatives.
Acceptance Criteria: User reviews skill gap data for a specific region by zooming in on the interactive map, then clicks on that region to open detailed insights.

Given the user is on the Skill Gap Heat Map, when they zoom into a region and click on it, then the detailed skill gap data for that region should be displayed instantly, including historical trends and predictions.

Corporate trainers want to visually identify regions with the highest skill gaps by reviewing the color-coded map.

Given the Skill Gap Heat Map displays color-coded data, when the user selects a specific skill category filter, then the regions showing the highest skill shortages should highlight appropriately in the corresponding color.

Users need to understand how skill shortages are changing over time by accessing historical data.

Given the user has selected a particular region on the interactive map, when they access the historical trend data option, then a graph showing skill gap trends over the last five years should appear alongside the map.

Educational administrators are assessing which regions to focus on for upcoming training programs.

Given the Skill Gap Heat Map is displayed, when the user clicks on the 'Download Report' button, then a comprehensive report including skill gap data, visualizations, and recommendations for training focus areas should be generated and downloadable in PDF format.

Users are interested in understanding predictions of skill gaps for the coming years based on current trends.

Given the user has interacted with the map and selected future predictions, when they click on a region, then a pop-up should show a detailed prediction of the skill gap for the next three years, including data sources and assumptions made.

Feedback Loop Mechanism

User Story: As a course administrator, I want to submit feedback on the training programs so that I can contribute to improving the quality of the skill gap analysis and training effectiveness.
Description: This requirement aims to establish a feedback loop mechanism that allows users to provide input on the effectiveness of training programs and courses relative to identified skill gaps. This feedback will be analyzed and used to refine the skill gap data further, ensuring continuous improvement of the training offerings. By incorporating user feedback, the platform can adjust to emerging trends and changing skill requirements over time.
Acceptance Criteria: Corporate trainers access the Skill Gap Heat Map to evaluate skill shortages in their region and identify areas for targeted training programs. They provide feedback on the effectiveness of the training offerings based on user engagement metrics and skill application success in the workplace.

Given that the feedback loop mechanism is implemented, when a corporate trainer submits feedback on a specific training program, then the feedback should be recorded and reflected in the program's evaluation report within 24 hours.

Educational administrators review the Skill Gap Heat Map during quarterly meetings to discuss the effectiveness of their current curricula. They assess whether the courses align with identified skill gaps and note the feedback received from trainers and learners about course relevancy.

Given that the feedback loop mechanism is active, when educational administrators analyze the feedback report, then they should see a minimum of 75% of feedback entries categorized as relevant to current skill gaps.

During the annual review process, both corporate trainers and educational administrators participate in a feedback survey facilitated by the SkillBridge platform to assess the overall effectiveness of the training programs in addressing skill gaps identified in the Heat Map.

Given that the feedback loop mechanism is in place, when a user completes the feedback survey, then their responses should contribute to at least 3 actionable insights for improvement in training programs as reported in the system’s analytics dashboard.

Corporate trainers utilize the Skill Gap Heat Map to determine which skills are currently in high demand. They provide qualitative feedback on the skills taught in their training sessions and the perceived gaps between training and industry needs.

Given that the feedback loop mechanism is activated, when qualitative feedback is submitted by corporate trainers, then at least 80% of the feedback should be compiled and shared with curriculum developers for immediate review before the next training cycle.

Learners in a training program actively submit feedback on the relevance and effectiveness of the training modules they have completed, allowing the platform to monitor and improve course content aligned with emerging skill trends.

Given that the feedback loop mechanism is operational, when learners submit feedback, then their input should be aggregated and analyzed to revise at least 10% of existing training modules based on the most frequent feedback themes within a month.

Collaboration Tools for Educators

User Story: As an educator, I want to collaborate with corporate trainers through the platform so that we can align our training efforts with industry needs.
Description: This requirement focuses on implementing collaboration tools that enable educators and corporate trainers to share insights and strategies based on the skill gap analysis. The platform should allow for discussion boards, document sharing, and collaborative project tools that facilitate joint efforts in addressing skill shortages. This collaboration will enhance communication and ensure that both industries are aligned in their efforts to prepare a skilled workforce.
Acceptance Criteria: Educators and corporate trainers engage in a collaborative meeting using the discussion board to address identified skill gaps from the Skill Gap Heat Map, sharing insights on effective training approaches based on real-time data.

Given that the educators and corporate trainers are logged into the SkillBridge platform, when they access the discussion board, then they can create new discussion topics, respond to existing threads, and tag relevant participants to encourage collaboration.

An educator uploads a training document to the SkillBridge platform, allowing other trainers to access and collaborate on the training material based on the identified skill gaps.

Given that the educator has uploaded a training document, when a corporate trainer searches for resources in the document sharing section, then they should find the uploaded document and be able to leave comments or suggestions on it.

Corporate trainers and educators collaboratively create a project plan in the shared collaborative project tool, outlining steps to address skill shortages highlighted by the Skill Gap Heat Map.

Given that both corporate trainers and educators are working in the collaborative project tool, when they input tasks and assign roles, then the system should provide a visual representation of the project timeline, showing tasks, deadlines, and responsible parties.

Educators review comments and feedback left by corporate trainers on discussion board posts to adjust their curriculum and align with industry needs.

Given that educators are reviewing discussion board posts, when they navigate to the feedback section, then they should be able to see all comments and ratings provided by corporate trainers, allowing them to adjust their curriculum accordingly.

Corporate trainers and educators schedule regular collaborative meetings through the platform's scheduling tool to maintain alignment on training efforts derived from the skill gap analysis.

Given that a meeting is scheduled using the scheduling tool, when participants receive the meeting invite, then they should have the ability to accept, decline, or propose a new time, and the schedule should automatically reflect their availability in the platform calendar.

Predictive Skill Trends

Predictive Skill Trends use AI algorithms to forecast upcoming skill demands based on historical data and market trends. This feature provides valuable insights that allow corporate trainers and educational institutions to develop proactive training programs, ensuring learners acquire skills relevant for future job markets.

Requirements

AI-Driven Data Analysis

User Story: As a corporate trainer, I want to access AI-driven data insights about skill demand trends so that I can design training programs that meet future industry requirements and prepare learners effectively.
Description: This requirement focuses on implementing AI algorithms that analyze historical skill data and market trends to generate actionable insights for educational institutions and corporate training programs. The data analysis will identify potential skill gaps and predict future skill demands, enabling users to stay ahead of the changing job market. By leveraging these insights, institutions can offer courses and trainings that predictively align with the skills needed by employers, thereby enhancing the employability of their learners.
Acceptance Criteria: As a corporate trainer, I want to access predictive skill trend reports so that I can design training programs that align with future skill demands.

Given that I have historical skill data, When I generate a predictive skill trend report, Then the report must accurately display at least three upcoming skills that will be in demand over the next three years.

As an educational institution, I want to receive actionable insights from AI data analysis so that I can adjust our course offerings accordingly.

Given that the AI has analyzed market data for the past five years, When I view the actionable insights report, Then the report must highlight at least two significant skill gaps in the current curriculum.

As a curriculum developer, I want to compare current course content against predictive skill trends so that I can ensure relevancy in our course offerings.

Given that I have access to the current curriculum, When I run a skill relevancy analysis against the predictive skill trends, Then the system must identify at least three courses that require updates or modifications.

As a stakeholder, I want to evaluate the effectiveness of the AI-driven data analysis in predicting skill demands so that I can make informed decisions about resource allocation.

Given that I have access to previous skill demand predictions, When I compare the predictions to actual skill demands over the last year, Then the accuracy rate of the predictions must be at least 80%.

As a trainer, I want real-time updates on emerging skill trends so that I can adapt my training strategy as needed.

Given that the AI has new data available, When a new predictive skill trend is identified, Then I must receive a notification within 24 hours detailing the trend and its implications.

As a manager, I want to see the overall effectiveness of the skill trend predictions across different sectors to determine investment in training initiatives.

Given that the AI has analyzed multiple industry sectors, When I access the sector report, Then I must see a comparative analysis showing at least five sectors' predicted skill trends, indicating which sectors have the highest demand.

Real-time Skill Gap Reporting

User Story: As an educator, I want to receive real-time reports on skill gaps so that I can adjust my curriculum immediately to ensure that my students are learning the most relevant and in-demand skills.
Description: This requirement emphasizes the creation of a reporting tool that provides real-time skill gap analysis based on the latest labor market data and educational outcomes. It integrates seamlessly into the SkillBridge platform, allowing users to gauge the effectiveness of their training programs and adjust course content as needed. The reporting tool will alert educators and trainers to emerging skill shortages in the workforce, helping them to respond quickly with necessary adjustments in their curriculum or training modules.
Acceptance Criteria: User accesses the real-time skill gap reporting tool during a quarterly review meeting with stakeholders to present data-driven insights on current skill gaps in their training programs.

Given a user has access to the reporting tool, when they request a real-time skill gap analysis, then the system should provide a comprehensive report displaying current skill gaps based on the latest labor market data, within 5 minutes of the request.

Educators use the real-time skill gap reporting tool to identify the effectiveness of their current training program and make adjustments based on the report findings.

Given educators have received a skill gap report, when they review the findings, then they should be able to identify at least three specific skill areas that require immediate attention for course adjustments, which are updated in the system within one week.

Corporate trainers utilize the reporting tool after implementing a new training module to evaluate its impact on closing identified skill gaps over a previous assessment period.

Given a corporate trainer has implemented a new training module, when they generate a report for the impact assessment, then the tool should display measurable improvement in the related skill gaps, with at least a 20% decrease in the skills currently in need of further training compared to the last report.

A user receives an alert from the reporting tool regarding an emerging skill shortage that could impact their training program effectiveness.

Given a user is subscribed to alerts from the reporting tool, when a skill shortage is detected, then they should receive a notification within 24 hours, including specific skills affected and suggestions for immediate curriculum updates.

Students and trainers review the skill gap reporting tool during a feedback session to assess individual progress and alignment with market demands.

Given a feedback session is conducted, when trainers access the reporting tool, then they should see a visual dashboard indicating the progress of students in relation to the identified skill gaps, with at least a 75% accuracy rate in identifying skill proficiency levels.

Customizable Learning Pathways

User Story: As a learner, I want to have a customizable learning pathway so that I can focus on the skills that are most relevant to my career goals and interests, thereby making my education more personalized.
Description: This requirement involves the development of customizable learning pathways within the SkillBridge platform that adapt to the individual learner's needs and skill levels. Based on predictive analytics, these pathways will be designed to guide users through tailored learning experiences, ensuring they acquire the skills most pertinent to their career aspirations and market needs. The feature will enhance user engagement and improve learning outcomes by allowing learners to choose their own educational journeys.
Acceptance Criteria: User is a corporate trainer who logs into the SkillBridge platform to create a new customizable learning pathway for a group of learners with varying skill levels.

Given the trainer is logged in, when they select 'Create Learning Pathway', then they should be presented with options to customize the pathway based on skill levels and interests of the learners.

A learner accesses their personalized dashboard on the SkillBridge platform to view their recommended learning pathway.

Given the learner is on their dashboard, when they click on 'My Learning Pathway', then they should see a tailored list of courses and skills to be developed based on their profile and predictive skill trends.

An educator reviews the effectiveness of a customizable learning pathway to assess its impact on learner engagement and skill acquisition.

Given the educator has access to analytics, when they generate a report on learner performance, then they should see increased engagement metrics and skill assessments aligning with course completion rates.

A learner wants to adjust their learning pathway based on newly identified skills that are trending in the job market.

Given the learner is viewing their learning pathway, when they navigate to 'Adjust Pathway', then they should be able to switch to skills that reflect the latest market demands as per the predictive analytics features.

A corporate trainer uses the SkillBridge platform to monitor the progress of multiple learners enrolled in a customizable learning pathway.

Given the trainer selects 'Monitor Progress', when they view the learners’ dashboard, then they should see real-time data on each learner's progression, course completion, and skill acquisition based on the chosen pathways.

The SkillBridge platform needs to offer recommendations for courses as learners progress through their customizable pathways.

Given a learner has completed certain courses, when they check for course recommendations, then the system should suggest advanced courses and new relevant skills that are required for their next career step.

Market Trend Integration

User Story: As a product manager, I want to integrate various market data sources to enhance the predictive capabilities of the SkillBridge platform so that educational institutions can better align their programs with real-world job market demands.
Description: This requirement entails integrating third-party market data sources into the SkillBridge platform to enhance the accuracy of predictive skill trend analyses. By aggregating data from various industry reports, job postings, and professional networks, users will gain a comprehensive view of the job market trends. This integration will enrich the platform’s insights and ensure that the educators and trainers are working with the most current and reliable data for strategic decision-making.
Acceptance Criteria: Market Trend Data Aggregation for Skill Analysis

Given an integrated third-party market data source, when the user accesses the predictive skill trend report, then the report should display relevant market trends and insights derived from the aggregated data within 2 seconds.

Real-time Data Updates

Given a scheduled data update from third-party sources, when a new market trend is detected, then the SkillBridge platform should refresh its predictive skill trend data to reflect the new information within 1 hour.

User Interface for Market Trends

Given an authenticated user, when they navigate to the market trends dashboard, then they should see a user-friendly interface displaying aggregated insights, with the ability to filter by industry and job role.

Historical Data Comparison

Given the integration of historical data, when a user analyzes the predictive skill trends, then they should be able to compare current trends against historical data to identify growth or decline in skill demands over the past five years.

Training Program Recommendations based on Trends

Given the predictive skill trend data, when a user requests training program recommendations for specific skills, then the platform should suggest at least three training programs aligned with the predicted skills, complete with justification based on market data.

Market Trend Accuracy Validation

Given the implementation of market trend integration, when the predictive skill trend analysis is generated, then the accuracy of the insights provided must be verified against actual hiring trends in the following quarter with at least 80% correlation.

User Feedback Mechanism for Market Trends

Given the market trend dashboard, when a user interacts with the trend insights, then they should have the option to provide feedback on the relevance and accuracy of the data presented, which is stored for analysis.

User-Friendly Dashboard Interface

User Story: As a corporate trainer, I want an intuitive dashboard interface so that I can quickly access skill trend insights without needing extensive training or technical knowledge.
Description: This requirement focuses on creating a user-friendly dashboard interface that presents predictive skill trends and insights in an intuitive manner. The dashboard should allow trainers and educators to easily navigate through data visualizations, reports, and alerts about skill trends without requiring extensive training. A streamlined, engaging interface will improve user satisfaction and ensure users can quickly interpret and act upon the available data to inform their training strategies.
Acceptance Criteria: As a corporate trainer, I want to access the user-friendly dashboard to view predictive skill trends so that I can quickly understand which skills are becoming relevant in the job market and update my training programs accordingly.

Given I am logged into the SkillBridge platform, when I navigate to the Predictive Skill Trends dashboard, then I should see visualizations of trending skills that can be filtered by industry and date range.

As an educator, I want the dashboard to provide real-time alerts for significant changes in skill trends so that I can adjust my curriculum proactively.

Given I am on the Predictive Skill Trends dashboard, when a significant trend change occurs, then I receive an immediate notification alerting me of the change and its implications.

As a user of the SkillBridge platform, I need to be able to customize the dashboard layout to prioritize the information that is most relevant to me and my organization.

Given I access the Predictive Skill Trends dashboard, when I select customization options, then I should be able to rearrange and hide specific data visualizations to suit my preferences and save the changes successfully.

As an educational administrator, I want to evaluate the effectiveness of the user-friendly dashboard interface by gathering user feedback after training sessions on how to use it.

Given a group of users has participated in a dashboard training session, when I collect the feedback survey responses, then at least 85% of users report that they can navigate the dashboard intuitively and find the information they need without confusion.

As a corporate trainer, I want to ensure that the data presented on the dashboard is accurate and updated frequently so that I can rely on it for my training strategies.

Given I am viewing the dashboard data, when I refresh the dashboard, then I should see the most current data available that reflects changes within the last 24 hours.

As a novice user, I want easy access to tutorial resources to understand how to use the dashboard effectively, ensuring I can make full use of its features.

Given I am on the dashboard, when I click on the help icon, then I should be directed to a set of intuitive tutorial resources that provide guidance on navigating the dashboard and its key features.

Customizable Dashboard Widgets

Customizable Dashboard Widgets allow users to tailor their dashboard experience by selecting which data points to display prominently. This feature provides users with the flexibility to focus on the most relevant skill gaps and trends for their specific needs, enhancing their ability to respond quickly to dynamic market conditions.

Requirements

Widget Selection UI

User Story: As a dashboard user, I want to easily select and customize widgets so that I can focus on the skill gaps and industry trends that matter most to me.
Description: The Widget Selection UI requirement involves creating an intuitive interface that allows users to select, configure, and add various widgets to their dashboard. This UI must integrate smoothly with the existing dashboard while allowing users to choose from a predefined list of data points and metrics. Users should be able to drag and drop these widgets into desired positions on the dashboard. This feature enhances personalization by ensuring that users can focus on the skill gaps and industry trends most relevant to their roles, ultimately driving better decision-making and responsiveness to market conditions.
Acceptance Criteria: User selects multiple widgets from a predetermined list to add to their dashboard.

Given the user is on the Widget Selection UI, when they select multiple widgets from the predefined list and click the 'Add' button, then the selected widgets should be added to the dashboard in the user-specified order.

User drags and drops a widget to a new location on the dashboard.

Given the user has added widgets to their dashboard, when they click and hold on a widget and drag it to a new location, then the widget should relocate to the new position and save the layout successfully.

User removes a widget from the dashboard.

Given a dashboard filled with various widgets, when the user clicks on the 'Remove' icon on a widget, then the widget should be removed from the dashboard without affecting other widgets.

User customizes the data displayed in a widget.

Given a widget on the dashboard, when the user clicks on the 'Configure' button, updates the displayed data point, and saves changes, then the widget should refresh to show the updated data accordingly.

The dashboard displays widgets seamlessly after user configuration.

Given the user has customized their dashboard by adding and arranging widgets, when they log out and log back in, then the dashboard should display all previous widget configurations as set by the user.

The user receives feedback for any invalid widget configurations.

Given the user attempts to save a widget configuration that is invalid, when they click the 'Save' button, then an error message should be displayed indicating which configuration is invalid and prompting for corrections.

The UI supports responsive design across various devices.

Given the user accesses the Widget Selection UI on different devices (desktop, tablet, mobile), when they navigate through the selection process, then the UI should maintain usability and visibility without any layout issues on all devices.

Real-time Data Updates

User Story: As a user, I want my dashboard widgets to update in real-time so that I can ensure my decisions are based on the most current skill gap data.
Description: Real-time Data Updates requirement focuses on ensuring that the data displayed within the customizable dashboard widgets is continuously refreshed with the latest metrics available. This requires the implementation of a robust data pipeline that pulls in current skill gap statistics and trends from the backend and reflects those changes instantly on the user's dashboard. By providing real-time updates, users can make informed decisions based on the most recent data, leading to proactive responses to evolving market demands.
Acceptance Criteria: User accessing the customizable dashboard after logging in to SkillBridge.

Given the user is on the dashboard, when the user refreshes the page, then the data widgets reflect the most recent skill gap statistics with no visible delay in loading time.

A corporate trainer adjusting their dashboard widgets to display specific skill gap metrics relevant to their training programs.

Given the user customizes their dashboard settings to include selected metrics, when the dashboard loads, then the user sees only the chosen metrics displayed accurately as per their selections.

An educator reviewing market trends on their dashboard while planning a new curriculum.

Given the user is viewing the dashboard, when new skill gap data becomes available from the backend, then the dashboard updates automatically within 5 seconds, showing the latest trends without the need for manual refresh.

A user utilizing the dashboard during a meeting with industry partners to discuss training needs based on current data.

Given the dashboard is displayed during the meeting, when the skill gap data is presented, then the information shown is consistent with the latest data retrieved from the backend, ensuring accuracy during discussions.

A user receiving notifications about significant changes in the skill gap metrics they track on their dashboard.

Given the user has set up alerts for specific skill gaps, when there is a notable change in those metrics, then the user receives an immediate notification, including the details of the changes.

A user comparing historical trend data with current skill gap metrics on their dashboard.

Given the user accesses the dashboard, when they select a date range for historical data comparison, then the dashboard displays both current and historical data side by side with clear visual indicators.

Widget Configuration Options

User Story: As a user, I want to configure my dashboard widgets with different visualization options so that I can view data in a way that is most useful to me.
Description: The Widget Configuration Options requirement entails providing users with diverse settings to customize how the widgets display data. Users should be able to select visualization types, such as graphs or tables, and adjust settings like color schemes and font sizes. This level of customization allows users to create a dashboard that is not only functional but also aesthetically pleasing, improving user experience and engagement with the provided data.
Acceptance Criteria: User customizes their dashboard widgets to display only relevant skill gap metrics after analyzing their team's performance via the SkillBridge platform.

Given a user is logged into their SkillBridge account, when they access the widget configuration options, then they should see a list of all available data points, along with options for visualization types, color schemes, and font sizes, enabling them to customize the widgets.

A user adjusts the color scheme of a widget to match their organization's branding and saves the configuration.

Given the user selects a specific widget on their dashboard, when they change the color scheme to a predefined palette and click 'Save', then the widget should immediately reflect the new color scheme without requiring a page refresh.

An administrator reviews the dashboard changes made by various users to ensure compliance with data visibility standards.

Given an administrator is in the dashboard analytics section, when they view recent configuration changes made by users, then they should see a log of all changes, including user details and timestamps, ensuring complete transparency and auditability.

A user wants to revert the dashboard widget settings back to the default configuration after making previous adjustments.

Given a user has changed widget settings, when they select the 'Reset to Default' option, then all widget configurations should revert to the original default settings as outlined in the system specifications.

A new user sets up their dashboard for the first time, requiring them to choose which widgets to display and how they fit their specific needs.

Given a new user logs into SkillBridge for the first time, when prompted to configure their dashboard, then they should be guided through a series of options that allow them to select default widgets based on their role, with tooltips explaining each option’s purpose.

A user changes the visualization type of a performance metric from a table to a graph to enhance data comprehension.

Given a user is viewing a widget displaying performance metrics as a table, when they select 'Graph' from the visualization options, then the data should be instantly converted and displayed as a graph without data loss or alteration.

Save and Share Custom Layouts

User Story: As a user, I want to save my custom dashboard layouts and share them with my team so that we can collaborate more effectively on addressing skill gaps.
Description: The Save and Share Custom Layouts requirement introduces functionality that allows users to save their customized dashboard layouts for future use and share them with colleagues. Users can create multiple layouts tailored for different tasks or roles and easily switch between them as needed. This fosters collaboration among team members as they can share best practices and insights through dashboard configurations, leading to a more unified understanding of skill gaps and trends across the organization.
Acceptance Criteria: User saves a customized dashboard layout with selected widgets for skill gap analysis.

Given a user has customized their dashboard with selected widgets, when they click the 'Save Layout' button, then a confirmation message should appear indicating that the layout has been saved successfully.

User retrieves a previously saved dashboard layout.

Given a user has a saved dashboard layout, when they select the layout from the 'Saved Layouts' dropdown menu, then the dashboard should update to reflect the selected layout settings.

User shares a custom dashboard layout with a colleague via email.

Given a user has saved a dashboard layout, when they enter a colleague's email and click the 'Share Layout' button, then the colleague should receive an email with a link to access the shared dashboard layout.

User creates multiple dashboard layouts for different roles.

Given a user creates multiple dashboard layouts, when they navigate to the 'Manage Layouts' section, then they should see a list of all created layouts with options to edit or delete each layout.

User switches between different saved dashboard layouts.

Given a user has multiple saved dashboard layouts, when they select a different layout from the 'Saved Layouts' dropdown, then the dashboard should update to display the new layout immediately without any refresh.

User receives a notification upon successful sharing of a dashboard layout.

Given a user has successfully shared a dashboard layout, when they return to the dashboard, then they should see a notification indicating that the layout was shared successfully.

User sets a default dashboard layout that opens upon login.

Given a user selects a layout as default, when they log in to SkillBridge, then the dashboard should open with the selected default layout instead of the standard layout.

Usage Analytics Tracking

User Story: As a product manager, I want to track how users interact with dashboard widgets so that I can identify usage patterns and improve the feature accordingly.
Description: The Usage Analytics Tracking requirement involves embedding analytics capabilities into the customizable dashboard widgets to track user interactions, such as which widgets are most frequently viewed or used. This data will provide insights into user preferences, informing future enhancements and adjustments to the dashboard. The objective is to ensure continual improvement of the user experience by adapting features based on actual user behavior and trends.
Acceptance Criteria: Tracking User Interaction with Dashboard Widgets

Given a user interacts with the customizable dashboard widgets, when they select or deselect a widget, then the system should log the interaction in the usage analytics database with timestamp and widget identifier.

Evaluating Most Frequently Viewed Widgets

Given the usage analytics data recorded, when the user requests a report on dashboard widget usage, then the system should display the top 5 most frequently viewed widgets with usage percentage over the last 30 days.

Analyzing User Interaction Trends Over Time

Given the usage analytics data available, when an admin views the interaction trends for customizable widgets, then the system should provide visual graphs showing interaction patterns for selected widgets over a configurable time frame (e.g., last week, last month).

Identifying Unused Widgets

Given the usage analytics data collected, when the user analyzes dashboard configurations, then the system should identify any widgets that have not been interacted with for a defined period (e.g., 60 days) and suggest user engagement improvements.

Real-time User Feedback through Analytics

Given the usage analytics are being captured, when a user provides feedback on the dashboard experience, then the system should correlate feedback with interaction data to identify specific areas for improvement.

Ensuring Data Integrity in Usage Analytics

Given the system is logging usage analytics, when a user interacts with any widget, then the recorded data must accurately reflect the user's actions without any loss or duplication of information across sessions.

Scheduling Regular Analytics Reporting

Given the usage analytics feature, when the user schedules a weekly report on dashboard widget usage, then the system should send an automated email with the report summary to the designated email address every week.

Help and Support Integration

User Story: As a user, I want easy access to help resources while using the dashboard so that I can efficiently resolve any issues or questions I have.
Description: The Help and Support Integration requirement ensures that users have access to support resources directly within the customizable dashboard feature. This includes on-demand tutorials, FAQs, and live chat support options. By providing easy access to help resources, users can quickly resolve their issues and optimize their use of the dashboard, ultimately enhancing their experience with the platform.
Acceptance Criteria: User accessing the customizable dashboard for the first time.

Given the user is logged into SkillBridge, when they navigate to the customizable dashboard, then they should see a dedicated 'Help and Support' section integrated within the dashboard.

User attempts to access on-demand tutorials from the dashboard.

Given the user clicks on the 'Tutorials' link in the Help and Support section, when they select a tutorial, then the tutorial should open in a new window and display the content without errors.

User looks for FAQs related to customizable dashboard widgets.

Given the user clicks on the 'FAQs' link in the Help and Support section, when they search for a specific question, then the system should return relevant FAQ entries that address their query.

User initiates a live chat support session from the dashboard.

Given the user clicks on the 'Live Chat Support' button, when they provide their issue, then the system should connect them to a support agent within 2 minutes and provide confirmation of the connection.

User receives assistance while customizing their dashboard widgets.

Given the user is adjusting their dashboard widgets and encounters difficulty, when they access Help and Support and utilize the available resources, then they should be able to successfully customize at least one widget with the support provided.

User accesses the Help and Support Integration on mobile devices.

Given the user accesses SkillBridge from a mobile device, when they open the customizable dashboard, then the Help and Support section should be fully functional and accessible, with all resources available for mobile viewing.

Skills Demand Notifications

Skills Demand Notifications alert users to significant changes in skill requirements and emerging industry trends via customizable alerts. This feature ensures that corporate trainers and educational administrators stay informed in real-time, allowing them to promptly adjust their courses and training programs accordingly.

Requirements

Customizable Alert Settings

User Story: As a corporate trainer, I want to customize the alerts I receive regarding skill demands and industry trends so that I can focus on the most relevant information for my training programs without being overwhelmed.
Description: The Customizable Alert Settings requirement allows users to tailor the frequency, type, and format of the Skills Demand Notifications they receive. This empowers users to prioritize information that is most relevant to their courses and training programs, ensuring they can focus on critical updates without being overwhelmed by unnecessary notifications. This flexibility improves user engagement and ensures timely adjustments to curriculum based on emerging industry trends, ultimately contributing to the overall effectiveness of training programs.
Acceptance Criteria: User wants to set alert preferences for Skills Demand Notifications, specifying the frequency of updates they wish to receive from daily to weekly, ensuring they are not overwhelmed by too many alerts.

Given the user has access to the alert settings, when they select the frequency dropdown and choose between daily and weekly updates, then their preference is saved and used for future notifications.

An educational administrator wants to customize the types of skill alerts they receive based on specific industry sectors relevant to their curriculum, ensuring they only receive pertinent information.

Given the user is on the Skills Demand Notifications settings page, when they select specific industry sectors, then they should only receive alerts related to those selected sectors.

Corporate trainers need to configure the format in which they receive alerts—options include email, SMS, and in-app notifications—to ensure they can access information through their preferred communication channel.

Given the user is in the alert settings, when they choose their preferred alert format from the list of available options, then alerts should be delivered consistently through that chosen format post-setup.

A user wants to test their alert settings to validate they receive the correct notifications as per their customized setup, ensuring the system functions as intended.

Given the user has saved their alert settings, when they access the test notification feature, then they should receive a test alert according to their specified preferences, confirming the system's accuracy.

An administrator needs to review the history of alerts received under their current settings, assessing their relevancy and making necessary adjustments to improve engagement.

Given the user is on the alert settings page, when they click on the 'View Alert History' option, then they should see a comprehensive list of previous notifications received, allowing for evaluation of alert relevancy.

Users want to modify their alert settings at any time, ensuring they can adapt their preferences to changing needs and industry dynamics on-the-fly.

Given the user is in their alert settings, when they make changes to any notification preference, then those changes should be saved instantly and reflected in future notifications without delay.

Real-time Data Integration

User Story: As an educational administrator, I want to receive real-time notifications regarding changes in skill requirements so that I can adjust course content quickly and align with industry demands.
Description: The Real-time Data Integration requirement ensures that Skills Demand Notifications are powered by up-to-date industry data, automatically sourcing information from industry reports, labor statistics, and trend analysis tools. By integrating real-time data, the feature provides users with accurate and timely alerts about shifts in skill demands, allowing for rapid adjustments in course offerings and training methodologies. This integration not only keeps educational content current but also assists users in maintaining a competitive edge in their respective fields.
Acceptance Criteria: Corporate trainers receive real-time alerts for significant changes in skill requirements during a quarterly industry report analysis meeting.

Given the trainer has subscribed to skill demand alerts, when a new report is published indicating a shift in skill requirements, then the trainer receives an alert within 10 minutes of the report's release.

Educational administrators evaluate the effectiveness of course offerings based on emerging industry trends notified by the system.

Given the administrator accesses the Skills Demand Notifications dashboard, when there are new notifications related to skill demands, then the dashboard displays the notifications prominently and categorizes them by relevance to current courses.

A training manager customizes notification settings to focus on specific industries and skills relevant to their organization.

Given the training manager accesses the notification settings, when they specify their preferences for industry and skill focus, then the system updates their notification settings and confirms the changes with a success message.

Users check their email for alerts regarding emerging skill trends and demands after an industry event or webinar.

Given the user has registered for alerts, when a significant trend is identified post-event, then the user receives an email alert summarizing the trends within 1 hour of the event's conclusion.

A corporate training program is adapted based on real-time data updates provided through Skills Demand Notifications.

Given that the trainer has received a notification about a new in-demand skill, when they review the updated course materials, then they should find the materials reflect the latest skill requirements outlined in the notification.

A user wants to unsubscribe from specific skill demand notifications they no longer find relevant.

Given the user is in their account settings, when they select the unsubscribe option for specific notifications, then the system removes them from those notifications and confirms the unsubscription with a message.

Administrators need to generate a report of skill requirement changes over the last quarter for internal review purposes.

Given the administrator requests a report of skill demand notifications for the last quarter, when the report is generated, then it should include all notifications categorized by date and skill relevance.

Historical Trend Analysis

User Story: As a corporate trainer, I want access to historical data on skill demand trends so that I can better anticipate future changes and tailor my training programs accordingly.
Description: The Historical Trend Analysis requirement provides users with insights into past skill demand trends along with a timeline of significant changes in industry needs. This functionality enables trainers and administrators to make informed decisions based on historical data and discern patterns over time, enhancing their ability to anticipate future skill requirements. By contextualizing current notifications with historical insights, users gain a comprehensive understanding of skill demand evolution, which can significantly enhance curriculum development strategies.
Acceptance Criteria: As a corporate trainer, I want to receive notifications about significant changes in skills demand so that I can update my training programs in real-time.

Given a user has set up their skill demand notifications, When there is a significant change in skill requirements, Then the user receives an immediate alert via email and in-app notification.

As an educational administrator, I need to access a historical trend analysis tool to visualize past skill demands over the last 5 years to inform curriculum planning.

Given an educational administrator accesses the historical trend analysis tool, When they select the past 5 years as the timeframe, Then they should see a visual representation (chart/graph) of skill demand trends during that period.

As a corporate trainer, I want to correlate current skill demand notifications with historical trend data to ensure relevancy in my training programs.

Given a corporate trainer receives a current skills demand notification, When they access the historical trend data corresponding to that skill, Then they can view a summary of historical trends alongside the current notification.

As a user of the Skills Demand Notifications feature, I want to customize the types of skills I receive notifications for, so I can focus on my areas of interest.

Given a user is in the settings section for Skills Demand Notifications, When they select specific skills or skill categories, Then they only receive alerts related to those selected skills.

As a corporate trainer, I want the ability to filter the historical trend analysis data by industry to tailor the insights to my specific field.

Given a corporate trainer is using the historical trend analysis tool, When they apply filters to view trends by industry, Then the displayed data should reflect only the skill demands relevant to the selected industry.

As an educational administrator, I want to review how effective previous course adjustments were in response to historical trends to improve future strategies.

Given the educational administrator accesses past course adjustments linked to historical trends, When they analyze the effectiveness report, Then they should be able to identify positive and negative impacts on skill readiness based on previous adjustments.

Mobile Notification Support

User Story: As an educational administrator, I want to receive notifications on my mobile device so that I can stay updated on skill demands no matter where I am, enabling me to respond promptly to industry changes.
Description: The Mobile Notification Support requirement allows users to receive Skills Demand Notifications on their mobile devices through SMS or push notifications. This ensures that users are informed of critical updates no matter where they are, empowering them to make timely decisions about their training programs. With mobile support, the feature enhances accessibility and responsiveness for users who are often on the go, thereby improving user engagement with the SkillBridge platform.
Acceptance Criteria: User receives a Skills Demand Notification through SMS while commuting to work and wants to ensure the alert is received timely and accurately.

Given the user has opted in for SMS notifications, when a significant skill demand change occurs, then the user should receive an SMS notification within 5 minutes of the alert being triggered.

A corporate trainer updates their notification preferences on the SkillBridge app to receive push notifications for specific skills.

Given the user has logged into the SkillBridge app, when they customize their notification settings to select specific skills, then the app should successfully save their preferences and send a test push notification to confirm.

An educational administrator checks their mobile device for push notifications regarding emerging industry trends after a recent course adjustment.

Given the user has push notifications enabled, when industry trends change significantly, then the user should receive a push notification on their mobile device detailing the changes within 10 minutes.

A user experiences mobile network issues and questions whether they still receive SMS notifications for Skills Demand Notifications.

Given the user has a poor mobile network connection, when a Skills Demand Notification is sent as an SMS, then the system should attempt to resend the SMS once the connection is restored within a 30-minute window.

A corporate trainer wants to verify the effectiveness of the Skills Demand Notifications by checking the historical record of alerts received on their mobile device.

Given the user opens the notification history section of their SkillBridge app, when they request the log of received notifications, then the app should display a chronological list of all notifications received in the past 30 days.

Users frequently receive Skills Demand Notifications but have not interacted with them and wonder about engagement tracking.

Given that a user has received at least 5 notifications in the past month, when the system analyzes engagement, then it should report the interaction rate of notifications as a percentage of alerts viewed or acted upon.

An administrator wants to ensure that notifications are compliant with user preferences and regulations around messaging.

Given the user has set their notification preferences to not receive alerts outside of business hours, when a new skill demand alert is triggered after these hours, then the system should queue the notification to send at the beginning of the next business day.

Feedback Mechanism for Alerts

User Story: As a corporate trainer, I want to provide feedback on the notifications I receive regarding skill demands so that the system can improve the relevance of the alerts and better serve my needs.
Description: The Feedback Mechanism for Alerts requirement enables users to provide feedback on the relevance and usefulness of the Skills Demand Notifications they receive. This feature encourages user interaction and allows the system to learn and improve, tailoring future notifications based on user input and preferences. By incorporating user feedback, the platform can continuously refine its alert system, ensuring that users receive the most pertinent information, which ultimately enhances their user experience and satisfaction.
Acceptance Criteria: User provides feedback on the relevance of a received Skills Demand Notification.

Given a user receives a Skills Demand Notification, When the user selects the feedback option, Then the user should be able to rate the relevance of the notification on a scale of 1-5 and provide optional text feedback.

User reports that a Skills Demand Notification is not useful for their needs.

Given a user receives a Skills Demand Notification, When the user selects the option indicating the notification is not useful, Then the system should prompt the user to specify why and collect feedback for improvement.

System updates Notifications based on collected user feedback.

Given that multiple users have provided feedback on Skills Demand Notifications, When the system analyzes the feedback, Then the system should update the notification algorithm to improve future notifications by at least 20% in relevance ratings.

User views a summary report of their feedback on Notifications.

Given a user has provided feedback on multiple Skills Demand Notifications, When the user accesses their feedback summary, Then the system should display a report including the number of feedback entries and an average rating for relevance.

User receives an alert for Skills Demand Notifications based on their feedback preferences.

Given a user has specified preferences for receiving Skills Demand Notifications, When a new notification matches their preferences, Then the user should receive the notification in real-time.

User can stop receiving specific types of Notifications.

Given a user is receiving Skills Demand Notifications, When the user opts to unsubscribe from a specific category, Then the system should remove them from that specific notification category immediately without affecting other categories.

Competitor Benchmarking

Competitor Benchmarking compares skill gap data against similar organizations and institutions in the industry. This feature enables users to understand their competitive positioning regarding workforce development, identify areas for improvement, and adapt their training strategies to remain relevant and effective.

Requirements

Data Collection Module

User Story: As a corporate trainer, I want to automatically collect skill gap data from various institutions so that I can have a comprehensive understanding of industry standards and make informed decisions about training strategies.
Description: The Data Collection Module is designed to aggregate and analyze skill gap data from various educational and corporate institutions. This module will facilitate the gathering of relevant data points that will serve as a foundation for benchmarking against competitors. It aims to streamline data input methods, ensuring accuracy and completeness, which enhances the overall quality of the competitor benchmarking process.
Acceptance Criteria: As a data analyst, I need to input skill gap data from various organizations into the Data Collection Module so that I can analyze trends and prepare for benchmarking against our competitors.

Given I have access to the Data Collection Module, when I input skill gap data from different organizations, then the data should be accurately stored and retrievable for analysis without any data loss.

As a system administrator, I need to ensure that the Data Collection Module collects data from different input methods (manual entry, uploads, and API integrations) to facilitate comprehensive data collection.

Given I have configured the Data Collection Module, when data is collected through any of the input methods, then it should integrate seamlessly and reflect accurately in the centralized database.

As a user of the Data Collection Module, I want to receive feedback on the accuracy and completeness of the data I enter to minimize errors in benchmarking processes.

Given I am entering data in the Data Collection Module, when I complete the data entry, then I should see a summary of any inaccuracies or missing information before final submission.

As a stakeholder, I want to review the data collection processes to ensure they meet industry standards and best practices in data management.

Given I have access to the data collection framework, when I assess the data collection processes, then they should comply with the established industry data governance standards.

As a project manager, I need to generate reports from the collected skill gap data to evaluate our competitive positioning in the market.

Given I have selected a date range for the data, when I request a report from the Data Collection Module, then I should receive a comprehensive report summarizing the skill gaps compared to competitors' data within the specified range.

As an end-user, I want to easily navigate the Data Collection Module to enter data without requiring technical assistance.

Given I am a non-technical user, when I access the Data Collection Module, then I should find a user-friendly interface that guides me through data entry with help prompts and tutorials available.

As an IT support member, I need to ensure that the Data Collection Module's backend is capable of handling large volumes of data without performance degradation.

Given the Data Collection Module is operational, when multiple users input large datasets simultaneously, then the system should maintain performance metrics within acceptable limits without lag or failure.

Benchmarking Analytics Dashboard

User Story: As an educator, I want an intuitive dashboard that presents benchmarking data clearly so that I can easily identify areas where our training programs need enhancement compared to competitors.
Description: The Benchmarking Analytics Dashboard will visualize competitor skill gap data in a user-friendly interface. This dashboard will provide insights into how the user's institution compares to others in the industry regarding skill development. It will enable users to identify trends, strengths, and weaknesses in their training programs, facilitating data-driven improvements.
Acceptance Criteria: Displaying Competitor Skill Gap Data

Given a user accesses the Benchmarking Analytics Dashboard, when the dashboard loads, then it displays skill gap data of at least five competitor institutions in clear visual formats such as graphs or charts.

Filtering Competitor Data

Given a user is viewing the Benchmarking Analytics Dashboard, when the user applies filters for specific skills or industries, then the displayed data should update to reflect only the relevant skill gap information from competitors.

Identifying Training Strengths

Given a user reviews the benchmarking data on the dashboard, when the user selects the 'Strengths' tab, then the system highlights at least three skills where the institution outperforms the competitors.

Trend Analysis Over Time

Given a user accesses the Benchmarking Analytics Dashboard, when the user selects a time range for the comparison, then the system provides trend data showing changes in skill gaps over the chosen period for the institution and its competitors.

Generating Performance Reports

Given a user views the Benchmarking Analytics Dashboard, when the user clicks on the 'Generate Report' button, then a comprehensive performance report is created and downloadable in PDF format, summarizing key findings from the dashboard.

User Access and Permissions

Given that multiple users are utilizing the Benchmarking Analytics Dashboard, when a user who does not have permission attempts to access the dashboard, then the system displays an appropriate error message indicating insufficient permissions.

Real-Time Data Updates

Given a user is using the Benchmarking Analytics Dashboard, when new competitor data becomes available, then the dashboard automatically updates to reflect this new information without requiring a manual refresh by the user.

Competitive Insights Report

User Story: As a program director, I want to receive regular insights reports on competitor skill gaps so that I can proactively adjust our training programs to maintain competitive relevance.
Description: The Competitive Insights Report will generate tailored reports that detail competitor skill gaps and trends. This feature will allow users to receive periodic updates on how their institution's workforce development strategies stack up against peers. The reports will summarize key findings, recommended actions, and potential strategies for improvement based on current market trends.
Acceptance Criteria: Generating a Competitor Benchmarking report as an educator to understand where my institution stands compared to similar organizations in terms of skill gaps and workforce strategies.

Given the user is an educator needing insights about their institution’s competitive positioning, when they request the Competitive Insights Report, then they should receive a tailored report highlighting skill gaps and recommended actions based on current market trends.

Updating the Competitive Insights Report to include the most recent data from competitors for the user to make informed decisions about workforce development.

Given that the Competitive Insights Report is being generated, when the user chooses to update the report, then the report should pull the latest competitor skill gap data and present the findings clearly and accurately.

Reviewing the Competitive Insights Report feedback from users to ensure it meets their needs for actionable insights and clarity.

Given that the report has been sent to the users, when they review the report, then at least 80% of the users should indicate that the report provided valuable insights that can inform their training strategies.

Creating alerts for users to notify them when a new Competitive Insights Report is available.

Given the user has subscribed to receive updates, when a new Competitive Insights Report is generated, then the user should receive a notification via their preferred method (email or in-platform alert) to access the report.

Comparing historical Competitive Insights Reports to track progress and changes over time for institutional improvement.

Given the user wants to analyze historical reports, when they access the report archive, then they should be able to view and compare at least the last three reports side-by-side to evaluate changes in skill gaps and trends.

Visualizing key findings from the Competitive Insights Report in an easy-to-understand format for quick decision-making by educational administrators.

Given the user is reviewing the Competitive Insights Report, when viewing the key findings section, then the report should present data using visual aids such as graphs and charts to enhance comprehension.

Ensuring the Competitive Insights Report integrates seamlessly with other SkillBridge features, such as personalized learning paths.

Given the user is taking action based on the Competitive Insights Report, when they identify an area for improvement, then they should be able to link directly to personalized learning paths that address the skill gaps identified in the report.

User Feedback Mechanism

User Story: As a user of the SkillBridge platform, I want to provide feedback on the benchmarking feature so that I can contribute to its continuous improvement and ensure it meets my needs.
Description: The User Feedback Mechanism will capture insights from users regarding the effectiveness of the competitor benchmarking feature. This feedback will help in refining and adjusting the benchmarking tools based on user experience and suggestion for improvements, thus ensuring the functionality meets user expectations over time.
Acceptance Criteria: User submits feedback on the effectiveness of the competitor benchmarking feature after utilizing it for the first time.

Given the user has accessed the competitor benchmarking feature, when they submit feedback through the feedback form, then the system should successfully capture and store the feedback in the database with a timestamp and user ID.

User receives a confirmation after submitting feedback regarding the competitor benchmarking feature.

Given the user has successfully submitted their feedback, when the feedback submission is complete, then the user should receive a confirmation message indicating that their feedback has been recorded and will be reviewed.

Admin reviews the feedback collected from users on the competitor benchmarking feature.

Given the admin accesses the feedback management dashboard, when they view the accumulated feedback list, then they should see all user feedback entries with details such as user ID, timestamp, and feedback content.

User can edit their previously submitted feedback for the competitor benchmarking feature.

Given the user navigates to their submitted feedback, when they choose to edit their feedback, then the system should allow the user to modify the existing feedback and resubmit it successfully.

System analyzes user feedback for sentiment and identifies key areas for improvement in the competitor benchmarking feature.

Given a new batch of user feedback has been submitted, when the system runs the sentiment analysis algorithm, then it should categorize feedback into positive, neutral, and negative sentiments and generate a summary report highlighting trends and areas for improvement.

User accesses an analytics report summarizing feedback on the competitor benchmarking feature.

Given the user has permission to access analytics reports, when they select the feedback analytics report, then they should be presented with visual representations of feedback trends over time and key insights derived from user suggestions.

Integration with Learning Management Systems (LMS)

User Story: As a learning administrator, I want SkillBridge to integrate with our existing LMS so that I can efficiently compare benchmarking data with actual course performance.
Description: The Integration with Learning Management Systems (LMS) will allow for seamless data transfer between SkillBridge and various LMS platforms. This integration is critical for enabling institutions to easily access course performance data and correlate it with benchmarking results, thus providing a comprehensive view of areas that require upskilling.
Acceptance Criteria: User uploads course data from an LMS platform to SkillBridge for analysis and benchmarking.

Given that the user has proper access to both the LMS platform and SkillBridge, when the user initiates the data upload process, then all relevant course performance data should be successfully transferred to SkillBridge without errors.

User checks the status of the data integration process between SkillBridge and their LMS.

Given that the user is on the integration status dashboard, when the user refreshes the page, then the system should display the current status of data integration, showing either 'In Progress', 'Completed', or 'Failed'.

User analyzes benchmarking reports generated after successful data integration from an LMS.

Given that the data has been successfully integrated, when the user navigates to the benchmarking report section, then the system should display a comprehensive report comparing their skill gap data against industry averages with relevant visualizations.

User receives notifications about integration issues between SkillBridge and their LMS.

Given that a data integration error has occurred, when the error happens, then the system should automatically send a notification to the user, detailing the issue and suggested next steps.

User attempts to integrate data from multiple LMS platforms into SkillBridge.

Given that the user has multiple LMS accounts, when the user connects all LMS platforms to SkillBridge, then the system should allow for the integration of data from each platform without data loss or corruption.

User validates data transferred from the LMS to ensure accuracy and completeness.

Given that the user has transferred data, when they perform a validation check, then all course data in SkillBridge should match the corresponding data from the LMS, ensuring 100% data transfer accuracy.

User views historical integration logs to track previous data transfers.

Given that the user is in the integration logs section, when they select a date range, then the system should display all historical integration attempts within that range, including status and any errors that occurred.

Customizable Benchmarking Parameters

User Story: As a user, I want to customize the parameters for benchmarking so that I can ensure that the comparisons made are specific to my institution's context and strategic goals.
Description: The Customizable Benchmarking Parameters feature will allow users to define specific criteria for comparison against competitors, such as industry standards, skill categories, or organization size. This flexibility enables institutions to create more relevant benchmarks tailored to their unique circumstances, enhancing the benchmarking process's applicability and effectiveness.
Acceptance Criteria: User defines benchmarking parameters including specific industries and skill categories for comparison.

Given a user is logged into SkillBridge, when they navigate to the Competitor Benchmarking section and select 'Customize Parameters', then they should be able to input specific industries and skill categories to compare against their competitors.

User successfully saves customized benchmarking parameters to their profile.

Given a user has defined specific benchmarking parameters, when they click the 'Save' button, then the system should store these parameters and confirm the action with a success message.

User retrieves previously saved benchmarking parameters for review.

Given a user is logged into SkillBridge, when they go to the Competitor Benchmarking section and select 'Load Saved Parameters', then the system should display the previously saved parameters accurately.

User adjusts benchmarking parameters and validates the impact on benchmark results.

Given a user has customized their benchmarking parameters, when they adjust a parameter and click 'Generate Results', then the system should recalculate and display updated benchmarking results based on the new parameters.

System displays validation errors for invalid input in benchmarking parameters.

Given a user is in the Customization screen, when they input invalid data (e.g., unsupported skill categories), then the system should show appropriate error messages indicating the invalid inputs.

User shares customized benchmarking parameters with team members.

Given a user has defined and saved benchmarking parameters, when they select 'Share' and enter team members' email addresses, then the selected team members should receive an email notification with the shared parameters.

User utilizes benchmarking results to inform training strategies.

Given a user has generated benchmarking results based on customizable parameters, when they view these results, then they should receive actionable insights to adapt their training strategies accordingly.

Interactive Data Visualization

Interactive Data Visualization transforms raw skill gap data into engaging, interactive charts and graphs. This feature allows users to effortlessly explore the data, uncover insights, and make informed decisions on course adjustments based on a comprehensive understanding of industry needs.

Requirements

Dynamic Data Filtering

User Story: As an educator, I want to filter the skill gap data interactively so that I can tailor my course adjustments to meet specific industry needs.
Description: The Dynamic Data Filtering requirement enables users to filter and manipulate visualized skill gap data in real-time, adjusting parameters such as time, skills, industries, and proficiency levels. This functionality is crucial for empowering users to drill down into specific data sets that matter to them, enhancing the ability to uncover insights tailored to their needs. By allowing users to focus on relevant data, this requirement supports more informed decision-making regarding course adjustments and program development by directly aligning with industry trends and workforce demands.
Acceptance Criteria: User actively filters skill gap data by selecting a specific skill, time range, and industry to view relevant insights for a particular course adjustment.

Given a user is on the Interactive Data Visualization page, when they select a skill, specify a time range, and choose an industry, then the data visualization updates to reflect only the relevant data pertaining to the selected criteria and displays updated charts accordingly.

User attempts to manipulate the data visualization by adjusting proficiency levels to assess gaps in specific educational programs.

Given a user is on the Dynamic Data Filtering interface, when they adjust the proficiency level slider, then the skill gap visualization adjusts in real-time to display insights that reflect the newly specified proficiency level.

User conducts multiple filters on skill gaps and wants to reset all filters to view a complete dataset.

Given a user has applied various filters on the skill gap data, when they click the 'reset' button, then all filters should be cleared, and the original unfiltered dataset should be displayed immediately without any delay.

User wants to save their filtered view for future access to compare trends over time.

Given a user has applied a set of filters and wishes to save the configuration, when they click the 'save filter' button and name their filter set, then the filter settings should be stored in the user's profile and retrievable for future data views with one click.

User requires immediate feedback on the impact of changing filter criteria on data trends.

Given a user is adjusting filter criteria, when they change any parameter, then the data visualization must refresh within 2 seconds to show the updated data trends reflective of the new selections.

User wants to analyze the filtered data through export functionality to share insights with stakeholders.

Given a user has successfully applied filters to the skill gap data, when they select the 'export' option, then the system should generate a downloadable report in a CSV format containing the filtered data points and visualizations.

Self-service Report Generation

User Story: As a corporate trainer, I want to generate my own reports from the data visualizations so that I can present tailored insights to my management team effectively.
Description: The Self-service Report Generation requirement allows users to create custom reports based on the interactive data visualizations. Users can select the parameters for their reports, such as chosen metrics, date ranges, and specific skill areas to analyze. This feature caters to institutional requirements for detailed reporting and analytics, streamlining the process of generating insights for stakeholders. It enhances user autonomy and ensures that educators and corporate trainers can quickly derive actionable insights without needing technical support, thus saving both time and resources.
Acceptance Criteria: User generates a report showcasing skill gaps in the marketing department for Q1 2025 to analyze areas of improvement.

Given the user selects the 'Marketing' skill area and sets the date range to '2025-01-01 to 2025-03-31', when they click 'Generate Report', then a report is created displaying relevant skill gap data accurately.

User creates a report comparing skill gaps across multiple departments within a specified date range.

Given the user selects multiple departments and defines a date range, when they request to generate the report, then the output should consolidate and display the skill gaps for all selected departments clearly and correctly.

User exports the generated report in multiple formats for various stakeholder needs.

Given a report is generated, when the user selects the option to export, then they should have the ability to export the report in PDF, Excel, and CSV formats successfully.

User customizes a report to include only specific metrics relevant to their reporting needs.

Given the user customizes the metrics included in the report, when they finalize the report generation, then the generated report should accurately reflect only the selected metrics requested by the user.

User wants to generate a report but receives guidance on missing required fields.

Given a user attempts to generate a report without filling out essential parameters, when they submit the report generation request, then they should receive a clear error message indicating the missing fields that need to be completed.

User verifies the accuracy of the generated report against the underlying data.

Given a report is generated, when the user cross-checks the report data against the raw skill gap data, then all values should match as expected without discrepancies.

User accesses previously generated reports through a user-friendly dashboard.

Given the user is logged in, when they navigate to the reports section, then they should see a list of their previously generated reports along with the ability to filter or search these reports easily.

Real-time Collaboration Feature

User Story: As a team leader, I want our team to collaborate in real-time on the skill gap visualizations so that we can make quick, informed decisions during training development sessions.
Description: The Real-time Collaboration Feature allows multiple users to interact with the data visualizations simultaneously, enabling real-time discussions and brainstorming directly on the platform. This requirement is essential for fostering collaboration between educators and corporate trainers, allowing for immediate feedback and collective decision-making. It enhances user engagement and ensures that all stakeholders are aligned on data interpretation and action plans, thereby improving the quality of the educational content being developed. This collaborative approach makes data more actionable and beneficial for both parties involved.
Acceptance Criteria: Multiple users engage simultaneously in real-time discussions on the interactive data visualization dashboard during a scheduled collaboration session.

Given that multiple users are logged into the SkillBridge platform, when the users access the data visualization feature and initiate a real-time collaboration session, then they should be able to see each other's live annotations and comments in their unique visualizations without lag or syncing issues.

A corporate trainer and an educator collaborate on reviewing skill gap data to adjust course content during a live session.

Given that both the corporate trainer and educator are in a collaboration session, when either user makes changes to the data visualization (e.g., adds a comment or adjusts filters), then all users should see the changes reflected in real-time across their interfaces within 2 seconds.

Users engage in a brainstorming session to decide on course adjustments based on the insights provided by the interactive data visualizations.

Given that users are in a brainstorming session, when they discuss identified skill gaps using the data interfaces, then they should have access to an integrated chat feature enabling them to share thoughts and action items, which should be logged automatically for future reference.

A user wants to export the collaborative session outcomes for documentation after a productive meeting.

Given that the collaboration session is concluded, when a user requests to export the session summary and data visualizations, then a comprehensive report containing all comments, annotations, and decisions made during the session should be generated and made available in PDF format.

Users from different organizations collaborate using the data visualization while ensuring data security and user privacy.

Given that users from different organizations are collaborating on data visualizations, when they interact in the platform, then there should be clearly defined permissions and access controls that ensure each user only sees data they are authorized to view, maintaining confidentiality throughout the session.

Interactive Tooltips and Annotations

User Story: As a user, I want to see detailed tooltips and be able to annotate the visual data, so that I can better understand the insights and document my observations for future discussions.
Description: The Interactive Tooltips and Annotations requirement provides users with the ability to hover over different data points in the visualizations to receive detailed insights about that metric or category. This feature enhances user understanding and provides additional context about the skill gap data. Users can also add personal annotations to the data visualizations, which can serve as notes for future reference or as points to discuss within their teams. By incorporating these functionalities, this requirement improves the overall user interaction with the data and promotes greater insight retention.
Acceptance Criteria: User hovers over a data point in the Interactive Data Visualization to view tooltip information.

Given the user is on the Interactive Data Visualization page, when they hover over a data point, then the tooltip should display detailed insights relevant to that metric or category within 1 second.

User adds annotations to specific data points in the visualizations for future reference.

Given the user has selected a data point, when they click the 'Add Annotation' button and input their notes, then the annotation should be saved and displayed next to the corresponding data point in the visualization.

User views multiple data points in a tooltip for comparison.

Given the user hovers over several data points, when they view the tooltip, then the tooltip should display comparative metrics side-by-side, allowing for easy analysis of differences and trends.

User accesses the annotations made on data points for a discussion in team meetings.

Given that the user has added annotations to the data points, when they access the 'View Annotations' option, then all saved annotations should be listed and easily accessible for reference during team discussions.

User experiences performance on interactive visualizations when hovering over data points with annotations.

Given the user is interacting with the visualization, when they hover over a data point with an annotation, then the tooltip should load and display without any delay or performance degradation, maintaining a smooth user experience.

User receives visual cues for tooltips indicating additional information is available.

Given the user is engaged with the data visualizations, when they hover over a data point, then a visual cue (such as a change in color or icon) should indicate that detailed insights are available in the tooltip.

Stakeholder Engagement Tool

The Stakeholder Engagement Tool facilitates collaboration by allowing corporate trainers, educators, and industry partners to share insights and data derived from skill gap analysis. This feature supports collective efforts to address workforce challenges and drive strategic initiatives that close skill gaps effectively.

Requirements

Real-time Data Sharing

User Story: As a corporate trainer, I want to share real-time insights with educators and industry partners so that we can collaboratively address skill gaps and improve training programs.
Description: The Real-time Data Sharing requirement ensures that corporate trainers, educators, and industry partners can seamlessly share insights and data in real time, derived from skill gap analysis. This capability enhances collaboration and decision-making by allowing stakeholders to have immediate access to updated information about skills gaps and training effectiveness. By enabling live updates, stakeholders can adjust educational content and training strategies promptly, addressing workforce challenges dynamically and efficiently. This requirement supports the overall goal of closing skill gaps by creating a responsive educational ecosystem that adapts to industry needs.
Acceptance Criteria: Real-time collaboration during a training session where educators and corporate trainers share data regarding students' skill progress and gaps instantly. This is critical during live discussions to ensure adjustments can be made on the fly to training content.

Given that a training session is in progress, when a corporate trainer updates the skill gap analysis data, then all connected users (educators and industry partners) should receive the update within 2 seconds, displaying the new information in their dashboards without needing to refresh.

Use of the Stakeholder Engagement Tool during strategic meetings with industry partners to collaboratively examine and discuss skill gap data. Participants require immediate access to insights to make informed decisions on training strategies and partnerships.

Given that stakeholders are in a meeting, when insights from the skill gap analysis are shared, then all participants should be able to view and interact with the data in real-time, including filtering and drilling down into specifics, without any lag or data discrepancies.

Gathering feedback from stakeholders after they have utilized the real-time data sharing feature in their daily operations to ensure the effectiveness and reliability of the data provided.

Given that stakeholders have been using the real-time data sharing for one month, when they are surveyed about their experience, then at least 85% of respondents should indicate they find the data sharing feature reliable and beneficial for decision-making purposes.

A scenario where an educator adjusts course material based on real-time skill gap updates during a lesson to meet immediate learning needs.

Given that a lesson is being taught, when an educator receives a real-time skill gap update indicating a majority of students are struggling with a particular topic, then they should be able to modify the lesson plan seamlessly within 5 minutes to include additional resources or explanation.

Implementing a notification system that alerts users when real-time data is shared, ensuring that they do not miss critical updates.

Given that a corporate trainer shares new skill gap data, when the sharing occurs, then all subscribed users should receive a notification immediately, including a brief summary of the changes made and a timestamp of the update.

Evaluating the impact of shared data on the decision-making process among stakeholders to determine if real-time data sharing leads to improved training strategies.

Given that stakeholders have access to real-time data sharing, when they implement training strategy adjustments based on shared insights, then there should be a measurable improvement in training effectiveness, demonstrated by at least a 20% increase in post-training assessments within two months.

Insight Analytics Dashboard

User Story: As an educator, I want an analytics dashboard that visualizes training data so that I can better understand the effectiveness of our programs and make informed decisions.
Description: The Insight Analytics Dashboard requirement involves the creation of a user-friendly interface that aggregates and displays data analytics related to skill gaps, training effectiveness, and engagement metrics. This dashboard will provide stakeholders with actionable insights through visual representations of data such as charts and graphs, aiding in strategic decision-making. By having a centralized platform for analytics, users can track progress and outcomes of training initiatives more efficiently. This requirement is critical to ensure that stakeholders can measure the impact of their collaborative efforts effectively.
Acceptance Criteria: User accesses the Insight Analytics Dashboard after logging into the SkillBridge platform to view aggregated training data and insights.

Given that the user is authenticated, when they click on the 'Insight Analytics Dashboard' link, then the dashboard should load successfully within 3 seconds and display relevant data.

A corporate trainer wants to analyze the effectiveness of a recent training program based on the insights presented in the dashboard.

Given that the dashboard displays training metrics, when the trainer selects a specific training program, then they should see detailed analytics including engagement rates, skill improvement scores, and feedback summaries for that program.

An educator needs to track the progress of students in relation to skill gap deficiencies using the dashboard's visual representations.

Given that the educator selects the 'Student Progress' view from the dashboard, when the user views the chart, then they should see a clear graphical representation of each student’s performance compared to identified skill gaps.

A stakeholder wants to export the data visualizations for a presentation to management.

Given that the dashboard is loaded with visual data, when the stakeholder clicks on the 'Export' button, then they should be able to download the visual analytics as a PDF document without loss of quality and formatting.

A group of industry partners reviews the dashboard to compare different training programs side by side.

Given that multiple training programs have been selected, when the user accesses the comparative analysis feature, then the dashboard should provide a side-by-side comparison of key metrics for each program.

The team wants to ensure the dashboard is responsive and accessible on various devices for users on-the-go.

Given that the user accesses the dashboard on a mobile device, when the dashboard is displayed, then it should maintain a responsive design, allowing for easy navigation and readability just as on a desktop.

The analytics dashboard must update in real-time to reflect new data inputs from ongoing training sessions.

Given that new training data is inputted, when the dashboard is accessed by any user, then all relevant metrics should reflect the latest data within a maximum of 2 minutes delay.

Collaborative Project Workspace

User Story: As an industry partner, I want a dedicated workspace for collaboration on skill development projects so that we can efficiently coordinate our efforts with educators and trainers.
Description: The Collaborative Project Workspace requirement entails establishing a digital environment where corporate trainers, educators, and industry partners can work together on projects aimed at closing skill gaps. This feature should include tools for document sharing, task management, discussion threads, and project timelines. By fostering collaboration through a dedicated workspace, stakeholders can coordinate efforts, share resources, and track project progress, which ultimately enhances the quality and effectiveness of skill development initiatives. This integration is vital for uniting different perspectives in the educational and corporate sectors.
Acceptance Criteria: Corporate trainers, educators, and industry partners collaborate on a project to develop a new training module addressing identified skill gaps based on data from the SkillBridge platform.

Given users are logged into the Collaborative Project Workspace, When they create a new project, Then they should be able to invite other stakeholders and set roles for each participant.

Stakeholders need to share documents and resources within the Collaborative Project Workspace to support project development.

Given a project has been created, When users upload documents to the shared space, Then those documents should be accessible to all invited stakeholders of the project with the correct permissions.

Users require a way to track tasks and deadlines within the Collaborative Project Workspace to ensure project milestones are met.

Given a project timeline has been established, When a user adds a task and assigns a due date, Then the task should appear on the project timeline with the correct description and deadline.

Stakeholders need to engage in discussions related to ongoing projects in the Collaborative Project Workspace.

Given a project is active, When a user posts a message in the discussion thread, Then all stakeholders should receive a notification and be able to reply to the thread.

Users require an overview of ongoing projects and their status within the Collaborative Project Workspace to coordinate efforts effectively.

Given a user is on the dashboard of the Collaborative Project Workspace, When they view the project list, Then they should see all projects along with their current status, deadlines, and assigned team members.

Corporate trainers and educators need to provide feedback on project deliverables to ensure quality and continuous improvement.

Given a project deliverable has been submitted for review, When a stakeholder provides feedback, Then the feedback should be recorded and visible to all project members in the workspace.

Users need to manage roles and permissions for stakeholders in the Collaborative Project Workspace to ensure data security and privacy.

Given a user with administrative rights accesses the project settings, When they modify stakeholder roles or remove participants, Then the changes should be reflected immediately in the project access settings.

Feedback and Evaluation System

User Story: As a corporate trainer, I want to provide feedback on our collaborative training efforts so that we can improve the program based on our experiences and outcomes.
Description: The Feedback and Evaluation System requirement focuses on creating a structured mechanism for stakeholders to provide feedback on training programs, curriculum, and the collaboration process itself. This feature should allow users to rate their experiences, suggest improvements, and share best practices. By collecting and analyzing feedback, the system can identify areas for enhancement and drive continuous improvement in skill development initiatives. This requirement plays a crucial role in ensuring that the educational content remains relevant and aligns with industry needs.
Acceptance Criteria: Stakeholder submits feedback on a recent training program to assess its effectiveness and areas for improvement.

Given a stakeholder accesses the Feedback and Evaluation System, when they submit their feedback with a rating and comments, then the feedback should be successfully recorded and acknowledged by the system with a confirmation message.

An administrator reviews feedback collected from multiple stakeholders to identify common themes and improvement areas in training programs.

Given the administrator logs into the Feedback and Evaluation System, when they access the feedback analytics dashboard, then they should see aggregated feedback data along with visual representations of ratings and common suggestions.

A corporate trainer evaluates the training program based on stakeholders' feedback to make necessary adjustments to the curriculum.

Given the corporate trainer reviews individual feedback submissions, when they analyze the feedback data, then they should be able to identify at least three actionable insights that lead to changes in the curriculum.

Educators check the system for feedback to improve their course materials and teaching methods.

Given the educator accesses their course evaluation reports, when they view the feedback entries, then they should see specific suggestions and ratings organized by course for convenient review.

Industry partners collaborate to share their insights on training effectiveness and suggest enhancements based on stakeholder feedback.

Given the industry partner logs into the Feedback and Evaluation System, when they access the shared feedback section, then they should be able to contribute comments and suggestions in a collaborative space that is visible to educators and corporate trainers.

Stakeholders receive notifications regarding the impact of their feedback on training program changes and updates.

Given a stakeholder submits feedback, when changes are made to the training program based on the feedback, then the stakeholder should receive a notification summarizing the changes and thanking them for their input.

Skill Gap Analysis Reporting

User Story: As an educator, I want to access reports on skill gap analyses so that I can effectively collaborate with trainers and industry partners to develop targeted training programs.
Description: The Skill Gap Analysis Reporting requirement enables the generation of comprehensive reports that outline identified skill gaps, trends, and potential strategies for addressing these gaps. Reports should be customizable and shareable among stakeholders, facilitating strategic planning and collaborative efforts. By having access to detailed reports, stakeholders can make informed decisions and prioritize initiatives that directly impact skill development. This requirement is essential for transparency and accountability in addressing workforce challenges through collaboration.
Acceptance Criteria: Generation of Skill Gap Analysis Report by a Corporate Trainer for a New Course Offering

Given a corporate trainer has completed a skill gap analysis, when they select the option to generate a report, then the system should produce a customizable report that outlines identified skill gaps, trends, and suggested strategies for improvement.

Sharing Skill Gap Analysis Report among Educators and Corporate Trainers

Given a skill gap analysis report has been generated, when a corporate trainer or educator selects the share option, then the selected stakeholders should receive the report via email or notification within the SkillBridge platform.

Customization of Skill Gap Analysis Report Before Sharing

Given a skill gap analysis report is created, when the user selects customizable fields, then they should be able to add or remove specific skill gap details, trends, and strategies prior to sharing

Real-time Analytics for Skill Gap Trends Monitoring

Given the Skill Gap Analysis Reporting tool is in use, when a user accesses the reporting section, then they should see real-time analytics displaying current trends regarding identified skill gaps and effectiveness of implemented strategies.

Accessibility of Past Skill Gap Analysis Reports for Strategic Planning

Given multiple skill gap analysis reports have been generated over time, when stakeholders access the reporting section, then they should easily view, sort, and reference past reports for informed decision-making.

Collaboration Feature for Stakeholders to Comment on Skill Gap Analysis Reports

Given a skill gap analysis report has been shared, when the stakeholders review the report, then they should have the capability to add comments and feedback directly on the report for collaborative discussion.

Exporting Skill Gap Analysis Reports in Various Formats

Given a skill gap analysis report is finalized, when the user chooses to export the report, then the system should provide options to download the report in formats such as PDF, Word, and Excel.

Notification and Alert System

User Story: As a user of the Stakeholder Engagement Tool, I want to receive notifications about important updates and deadlines so that I can stay informed and engaged in collaborative efforts.
Description: The Notification and Alert System requirement is designed to facilitate timely communication among users by sending alerts regarding updates, deadlines, and new data shared within the Stakeholder Engagement Tool. This feature will keep all stakeholders informed and engaged, ensuring they can proactively respond to changes and collaborate effectively. It is particularly critical in maintaining alignment across different teams and ensuring that important information is not overlooked. This system will enhance the overall user experience by creating a more connected and responsive environment.
Acceptance Criteria: Notification of New Updates in the Stakeholder Engagement Tool

Given that a new update is posted within the Stakeholder Engagement Tool, When a user logs in to the platform, Then the user should receive a notification alerting them of the new update within their dashboard.

Deadline Reminders for Collaborative Projects

Given that a deadline is approaching for a collaborative project, When the system identifies a user involved in the project, Then the user should receive an alert 48 hours prior to the deadline reminding them of their tasks.

Alerts for Data Changes Shared by Educators or Trainers

Given that an educator or corporate trainer shares new data on the platform, When that data is published, Then all relevant stakeholders should receive a notification alerting them of the new data addition.

Real-time Communication of Skill Gap Analysis Results

Given that skill gap analysis results are generated, When the results are finalized, Then all stakeholders involved in the project should receive instant notifications detailing the results and recommended actions.

System Alerts for User Engagement Metrics

Given that user engagement metrics drop below a predefined threshold, When the system detects this change, Then the administrators should receive an alert notifying them of this issue for immediate action.

Feedback notifications from stakeholders

Given that a stakeholder has provided feedback on a shared project, When the feedback is submitted, Then all relevant parties involved in that project should receive a notification of the feedback submission.

Press Articles

Revolutionizing Workforce Development with SkillBridge: A New SaaS Platform for Education and Industry Collaboration: FOR IMMEDIATE RELEASE
February 13, 2025

Revolutionizing Workforce Development with SkillBridge: A New SaaS Platform for Education and Industry Collaboration
San Francisco, CA — SkillBridge, an innovative Software as a Service (SaaS) platform, is set to transform the way educational institutions and corporations work together to develop a future-ready workforce. By leveraging cutting-edge technology, SkillBridge enables seamless collaboration between educators and corporate trainers to bridge the gap between education and industry, ensuring students are equipped with the skills needed for today's job market.

SkillBridge features AI-driven skill-gap analysis and personalized learning paths that align educational content with current industry demands. The platform empowers both educational institutions and companies to create dynamic learning environments that can adapt to the ever-changing needs of the workforce.

"In today's fast-paced job landscape, it's essential that educational institutions prepare students with relevant skills that employers are seeking," stated Sarah Thompson, CEO of SkillBridge. "SkillBridge not only identifies skill gaps but also offers personalized learning pathways for every student, ensuring they are job-ready by the time they graduate. We are excited to launch this unique solution that fosters a culture of continuous learning and adaptation."

Key features of SkillBridge include:

AI-driven Skill-Gap Analysis: This feature helps identify specific skill shortages within organizations and educational institutions, allowing for targeted training programs.

Real-time Course Adjustments: Educators and trainers can make immediate changes to course content based on feedback from industry partners, ensuring students are learning what is relevant.

Comprehensive Analytics Dashboard: Users can access detailed reports on learner progress, engagement metrics, and skill validation history, allowing for charted growth over time.

Mentorship Matchmaker: Connects students with experienced industry professionals for personalized guidance, enhancing networking and professional growth.

Feedback Loop: Industry partners can provide real-time feedback on students’ applications, fostering a cycle of improvement and adaptation.

In addition to empowering students, SkillBridge also helps corporate trainers design and deliver targeted training programs that align with industry standards.

"Our goal is to create a symbiotic relationship between education and industry that equips learners with practical skills while addressing employers' urgent needs for qualified professionals," said Mark Johnson, Head of Business Development at SkillBridge. "The feedback from pilot partners has been overwhelmingly positive, pointing towards SkillBridge's potential to significantly enhance both learning and teaching methodologies in various sectors."

Educational administrators can also benefit from the platform by integrating real-time industry insights into their curriculum development processes. This not only enhances the relevancy of courses but positions institutions as key players in shaping a capable workforce.

SkillBridge's inaugural launch will take place in San Francisco in March 2025, where stakeholders from education, corporate training, and industry will convene to witness live demonstrations of the platform's capabilities and to discuss the future of workforce development.

For more information about SkillBridge, please visit www.skillbridge.com or contact:
Media Contact:
Jane Doe
Public Relations Manager
SkillBridge, Inc.
Phone: (555) 123-4567
Email: press@skillbridge.com

About SkillBridge
SkillBridge is a cutting-edge platform designed to bridge the gap between education and industry. By fostering collaboration between educators, corporate trainers, and students, SkillBridge empowers a future-ready workforce through personalized learning and skill development. For more details, visit www.skillbridge.com.

SkillBridge Launches to Empower Job-Seekers with Innovative Learning Solutions: FOR IMMEDIATE RELEASE
February 13, 2025

SkillBridge Launches to Empower Job-Seekers with Innovative Learning Solutions
New York, NY — Today marks the official rollout of SkillBridge, a revolutionary SaaS platform designed to create personalized learning experiences for job-seekers, ensuring they acquire the skills necessary for successful careers in a competitive job market. With a focus on adaptive learning, SkillBridge uses AI-driven analytics to map out personalized learning pathways for each user.

The SkillBridge platform caters not only to students but also to a variety of user types including corporate trainers, learning and development specialists, and industry partners. Each user type benefits uniquely from the rich features offered by SkillBridge, aiming to enhance overall workforce competency.

"SkillBridge is built on the understanding that every learner's journey is unique. We provide personalized pathways that align with individual career aspirations and market demands," said Emma Garcia, COO of SkillBridge. "By integrating real-time data and AI analytics, we are imaging a future where learners can navigate the complexities of their career development with ease and confidence."

Notable features of SkillBridge include:

Internship Navigator: Students can filter and search for internship opportunities based on their skill sets, interests, and career goals, greatly enhancing their practical experience and job readiness.

Career Insights Hub: This powerful tool provides users with real-time data on job market skills and requirements, guiding students in making informed career decisions.

Peer Recognition System: Encourages students to recognize their peers' competencies, fostering an engaging and collaborative learning environment.

Custom Assessment Paths: Empower learners to create unique paths for their assessments based on personal interests, ensuring relevant evaluations that motivate students.

SkillBridge’s design emphasizes user experience, ensuring a seamless journey from learning to employment.

"What sets SkillBridge apart is our holistic approach to learning—both for skill-gap analysis and for supporting students in their quest to find the right job opportunities. This platform is designed for collaboration and continuous improvement, where feedback is not just received but actively acted upon," stated John Smith, Head of Innovation at SkillBridge.

As part of the launch, SkillBridge is offering a complimentary trial for new users through the end of April 2025. Educational institutions and corporate partners are also invited to join the SkillBridge network, enabling them to stay connected with a community focused on driving skill development and competency-based learning.

For more details, please visit www.skillbridge.com or contact:
Media Contact:
Lily James
Marketing Communications
SkillBridge, Inc.
Phone: (555) 987-6543
Email: contact@skillbridge.com

About SkillBridge
SkillBridge is at the forefront of workforce development, connecting education and industry in an innovative way. By leveraging AI technology, SkillBridge empowers learners to acquire relevant skills aligned with job market needs, creating pathways to success for the next generation of professionals. For more information, visit www.skillbridge.com.

SkillBridge Unveils Game-Changing Features to Maximize Learning Outcomes: FOR IMMEDIATE RELEASE
February 13, 2025

SkillBridge Unveils Game-Changing Features to Maximize Learning Outcomes
Austin, TX — SkillBridge is excited to announce the launch of several groundbreaking features aimed at maximizing learning outcomes for students and enhancing the training efforts of corporate partners. With the release of SkillBridge’s new suite of tools, learners will benefit from highly personalized training that meets the demands of a rapidly evolving job market.

The SkillBridge platform is designed to empower various user types including corporate trainers, educational administrators, and student learners. By employing sophisticated AI analytics, it offers dynamic skill assessments that adapt to each learner’s proficiency level, ensuring that all training solutions are tailored to their specific growth needs.

"We believe that the future of education lies in personalization and data-driven insights. Through SkillBridge, we provide a landscape where learners can flourish and develop skills that are directly aligned with market needs," articulated Vanessa Lee, Chief Technology Officer at SkillBridge.

Exciting new features include:

Adaptive Difficulty Scaling: This algorithm adjusts assessment challenges based on the learner's performance, ensuring users are both engaged and supported throughout their learning journey.

Insightful Feedback Engine: Leveraging AI, this feature provides users with detailed feedback on their performance, highlighting strengths and actionable areas for improvement.

Skill Development Tracks: Curated pathways within workshops allow participants to tailor their experiences according to specific competencies and goals.

Live Polling and Feedback: Enables real-time engagement from attendees during workshops, fostering interaction and keeping content relevant to learners' interests.

The launch event will feature live demonstrations of these innovative tools, showcasing their practical applications in today’s educational landscape. Corporate trainers and educators are encouraged to participate in a series of webinars scheduled for March 2025 to witness the transformative power of SkillBridge in action.

For further information, please visit www.skillbridge.com or reach out to:
Media Contact:
Alex Harper
Public Relations
SkillBridge, Inc.
Phone: (512) 555-3030
Email: media@skillbridge.com

About SkillBridge
SkillBridge is pioneering a new era of workforce readiness by connecting education and corporate training in a collaborative manner. Through its unique platform, SkillBridge leverages real-time data and learner insights to foster engaging learning experiences that ensure students enter the job market equipped and confident. For more details, visit www.skillbridge.com.

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Internship Navigator

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Personalized Internship Recommendations

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Comprehensive Internship Application Tracker

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Mentorship Matchmaker

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