SkillBlink

Pathway Personalization

Pathway Personalization customizes learning experiences by evaluating users' unique skill sets, career objectives, and learning styles. This feature ensures that recommendations are not only relevant but also resonate with users on a personal level, enhancing engagement and motivation as users progress in their professional journeys.

Requirements

Skill Assessment Integration

"As a user, I want a personalized skill assessment that evaluates my abilities so that I can identify areas for improvement and receive tailored learning recommendations."

Description

The Skill Assessment Integration requirement entails developing a seamless functionality that allows users to undergo interactive skill assessments, which are customizable based on career objectives and current skill levels. This feature will help users identify their strengths and weaknesses, providing them with specific areas for improvement. It will also include an algorithm that takes assessment results and dynamically adjusts learning pathways in real-time, ensuring that recommendations stay relevant as users progress. The value of this integration lies in its ability to personalize the learning experience further, making users feel more engaged and directly involved in their career progression.

Acceptance Criteria

User initiates a skill assessment to evaluate their current competencies and receive recommendations for a personalized learning pathway.

Given the user is logged into the SkillBlink platform, when the user selects the skill assessment feature and completes the interactive assessment, then the user should receive a detailed report of their strengths and weaknesses along with suggested learning pathways tailored to their career objectives.

Skill assessment results are dynamically incorporated into the user’s learning pathway, adapting recommendations based on performance.

Given the user has completed their skill assessment, when the assessment results indicate areas of improvement, then the system should automatically adjust the user's learning pathway to prioritize skills that need development, ensuring the recommendations reflect the most current assessment.

Users can track their progress as they complete skills assessments and engage with the recommended learning materials.

Given a user has completed a skill assessment and is following their personalized learning pathway, when the user accesses their progress dashboard, then the user should see visual indicators of their advancement, including completed skills, ongoing assessments, and areas that require further development.

Users can customize their skill assessments to focus on specific career objectives or skill areas of interest.

Given the user is accessing the skill assessment feature, when the user selects specific career objectives or skill areas to focus on, then the system should provide the user with a tailored assessment that addresses those selected focus areas without irrelevant content.

Mentors can view their mentees' skill assessment results to provide targeted feedback and support.

Given a mentor is connected with a mentee on the platform, when the mentor accesses the mentee's profile after they have completed a skill assessment, then the mentor should be able to view the assessment results and the associated recommended learning pathways, enabling them to offer relevant guidance.

The system should notify users when new materials or resources become available based on their skill assessment results.

Given the user has completed a skill assessment and received personalized recommendations, when the user logs into the SkillBlink platform thereafter, then the user should receive notifications about new courses or resources that align with their identified development areas as per their assessment results.

Dynamic Content Recommendation

"As a regular user, I want to receive content recommendations based on my learning history and interests so that I can focus on skills that truly matter to my career growth."

Description

Dynamic Content Recommendation aims to utilize AI algorithms to analyze user data, such as past learning activities, assessments, and personal interests, to suggest relevant learning modules and content in real time. The feature will provide a highly personalized learning journey by continuously adapting to each user's unique profile and feedback. This ensures that users get the most applicable content that resonates with their career goals and learning preferences. The integration of this recommendation engine will significantly enhance user engagement, as it aligns the platform's offerings with the individual's learning needs and ambitions.

Acceptance Criteria

User initiates Pathway Personalization feature and receives dynamic content recommendations based on their previous learning history and stated career goals.

Given a user with a history of completed learning modules and defined career goals, when they access the Pathway Personalization feature, then they should receive at least three dynamic content recommendations tailored to their profile.

User interacts with the dynamically recommended content and provides feedback on its relevance and effectiveness.

Given a user has consumed a recommended learning module, when they provide feedback indicating relevance, then the feedback should be recorded and analyzed to improve future recommendations.

User revisits the platform after a month and finds that the recommended content has changed to reflect any new skills or interests they’ve added.

Given a user logs back into the platform after 30 days and has updated their skills and interests, when they access the recommendations, then the content should reflect the new additions, with at least 50% of the recommendations being new to the user.

User can engage with peers to explore additional content recommendations based on collaborative feedback and discussion within the platform.

Given users are interacting with one another in a collaborative setting, when they share and discuss feedback on content, then at least 2 new content recommendations should emerge from their interactions that align with group interests.

User receives notifications for newly available content that aligns with their preferences and previous engagement levels.

Given a user has specified their content preferences, when new relevant content is added to the platform, then the user should receive a notification about at least two pieces of content that match their interests within 24 hours.

Progress Tracking Dashboard

"As a user, I want a dashboard that tracks my learning progress and achievements so that I can stay motivated and focused on my career development goals."

Description

The Progress Tracking Dashboard requirement involves creating a visually engaging interface where users can monitor their learning journey and achievements in real time. This dashboard will display metrics such as completed assessments, certifications earned, skill levels, and personalized goals. By visualizing their progress, users will be more motivated and empowered to continue their development. The dashboard will integrate with the Skill Assessment Integration and Dynamic Content Recommendation features, ensuring a holistic view of the user’s learning experience and facilitating a continuous feedback loop.

Acceptance Criteria

User views their Progress Tracking Dashboard after completing a skill assessment to check their progress and achievements.

Given a user has completed a skill assessment, when they access the Progress Tracking Dashboard, then the dashboard should display the updated score, completion status, and relevant skills acquired from the assessment.

User navigates to the Progress Tracking Dashboard to view all their earned certifications.

Given a user has earned certifications through the platform, when they access the Progress Tracking Dashboard, then the dashboard should list all earned certifications with dates and relevant details clearly presented.

User sets personalized goals in the Progress Tracking Dashboard and wants to track their current progress toward those goals.

Given a user has set personalized goals on their dashboard, when they return to the Progress Tracking Dashboard, then the dashboard should display a progress bar indicating the percentage of completion for each goal.

User checks the dashboard to view a visual representation of their completed assessments over time.

Given a user is viewing their Progress Tracking Dashboard, when the user selects the assessments history view, then the dashboard should show a timeline or graph showcasing completed assessments and their dates.

Mentors monitor their mentees' progress through their Progress Tracking Dashboard.

Given a mentor has access to their mentees' dashboards, when they view a mentee's Progress Tracking Dashboard, then the dashboard should clearly display the mentee's skills, completed assessments, and certifications earned.

User receives feedback on their learning achievements through the Progress Tracking Dashboard.

Given a user is reviewing their Progress Tracking Dashboard, when they have completed certain milestones, then the dashboard should provide automated feedback and suggestions for further learning based on their progress.

Mentorship Pairing System

"As a user, I want to be matched with a mentor who has relevant experience and skills so that I can receive guidance tailored to my career aspirations."

Description

The Mentorship Pairing System requirement is focused on developing a feature that connects users with potential mentors based on shared skills, career goals, and areas for growth. The system will analyze user profiles and suggest mentorship matches that align with both parties' aspirations and backgrounds. This functionality not only fosters collaboration but also enhances the learning experience by facilitating knowledge sharing and guidance from experienced professionals. By supporting mentorship, SkillBlink aims to create a vibrant community where users can thrive with support from their peers and advisors, ultimately leading to more robust career development.

Acceptance Criteria

User Registration and Profile Completion for Mentorship Matching

Given a user has successfully registered and completed their profile with skills and career goals, when they request mentorship pairing, then they should receive a list of potential mentors that match their profile criteria.

Mentor-Sharing Feature Testing

Given a user has been paired with a mentor, when the user interacts with their mentor through the platform, then all interactions (messages, meeting schedules) should be logged and accessible to both the user and mentor.

Feedback Mechanism for Mentorship Pairing

Given that a mentorship pairing has taken place, when both user and mentor have completed their initial mentorship session, then they should be prompted to provide feedback on the pairing quality and effectiveness, which should be stored and accessible for future improvement.

Dynamic Adjustment of Mentorship Pairings Based on User Progress

Given a user has progressed in their learning journey, when they update their skill set or career goals, then the system should automatically reassess and suggest new mentorship pairings that align with the updated profile.

Monitoring Engagement Metrics

Given that a user is active in the mentorship program, when the program is reviewed, then there should be measurable engagement metrics available (number of interactions, session feedback scores) to evaluate the success of the mentorship pairing system.

Notification System for New Mentorship Matches

Given a user has expressed a desire for mentorship, when a new mentor that matches their set criteria becomes available, then the user should receive an automated notification about this potential pairing.

Mentorship Program Impact Assessment

Given mentorship has been established, when a user completes their mentorship program, then the user should report an increase in their skills and confidence levels as validated by a follow-up survey conducted by the platform.

Custom Certification Programs

"As a user, I want to customize my certification program so that I can achieve certificates relevant to my career path and personal goals."

Description

The Custom Certification Programs requirement involves providing users with the ability to create and tailor certification pathways based on their unique skills and desired outcomes. This feature will allow users to select specific competencies they wish to certify, enabling them to build a personalized certification track that accommodates their professional goals. The outcome is to increase motivation by allowing users to pursue certifications that truly reflect their capabilities and aspirations, thus enhancing job satisfaction and marketability in the workforce.

Acceptance Criteria

User creates a custom certification program based on selected skills and desired outcomes.

Given the user has access to the Custom Certification Programs feature, when they select specific competencies and desired goals, then a personalized certification track should be generated successfully, reflecting their choices and allowing further customization.

User updates an existing custom certification program with new skills.

Given the user has an existing certification program, when they select additional skills to add to their program, then the updated certification program should reflect the new skills without errors, maintaining the user’s previous selections.

User completes a custom certification program and receives a certification.

Given the user has completed all requirements of their custom certification program, when they submit for certification, then a verification process should occur, and upon successful validation, the user receives a digital certificate confirming their achievement.

User shares their custom certification program with peers or mentors for feedback.

Given the user has created a custom certification program, when they choose to share it with selected peers or mentors, then the system should send a notification and link to the selected recipients, enabling them to view and provide feedback on the program.

User tracks their progress in a custom certification program.

Given the user is enrolled in a custom certification program, when they access the progress tracking feature, then they should see a clear, visual representation of their completed and remaining competencies, alongside estimated completion timeframes.

User deletes a custom certification program they no longer wish to pursue.

Given the user has a custom certification program, when they initiate the deletion process, then the system should confirm the deletion action and remove the program from their profile if confirmed, without affecting any completed certifications.

User receives personalized recommendations for additional certifications based on their current program.

Given the user is actively working on a custom certification program, when they reach certain milestones, then the system should provide personalized certification recommendations based on their interests and completions, enhancing their learning journey.

Collaborative Learning Space

"As a user, I want a space to collaborate with other learners so that I can share knowledge and gain insights from diverse perspectives."

Description

The Collaborative Learning Space requirement is aimed at creating a community-driven environment where users can interact, share knowledge, and engage in discussions about their learning experiences. This feature will include forums, chat functionalities, and group projects that facilitate peer-to-peer learning. This not only encourages collaboration but also fosters a sense of community among users, enhancing engagement and knowledge retention. By promoting collaborative efforts, SkillBlink supports a culture of continuous learning and shared success within its platform.

Acceptance Criteria

User initiates a discussion thread in the Collaborative Learning Space about a recent learning experience and invites peers to contribute their thoughts and insights.

Given that a user is logged into the SkillBlink platform, when they create a new discussion thread, then the thread must be visible to all users in the Collaborative Learning Space, and users must be able to post replies and reactions to the thread.

A user participates in a live chat session within the Collaborative Learning Space, seeking feedback on their learning progress from peers.

Given that a user is in the Collaborative Learning Space, when they initiate a live chat, then the chat must connect with at least two other users, allowing for real-time discussions and feedback during the session.

Groups of users are formed to collaborate on a project within the Collaborative Learning Space, sharing documents and exchanging ideas.

Given that a group project has been created, when users join the project, then they should be able to access shared documents, leave comments, and submit their contributions, all of which will be saved and retrievable by all group members.

A user rates and reviews their experience in the Collaborative Learning Space after participating in a group project.

Given that a user has completed their group project, when they submit a rating and review, then the system must store the feedback and display it on the project page for future participants to view.

Users are looking for resources and relevant content within the Collaborative Learning Space to aid their learning process.

Given that a user is searching for resources, when they use the search functionality, then the system should return a list of relevant resources categorized by topic, with filter options available for better navigation.

An admin monitors activities in the Collaborative Learning Space to ensure community guidelines are upheld and constructive dialogue is maintained.

Given that an admin is reviewing the Collaborative Learning Space, when they access the moderation tools, then they must be able to view all posts, user interactions, and take action on inappropriate content as necessary.

Adaptive Feedback Loop

The Adaptive Feedback Loop feature collects user responses and performance data in real-time to refine and update learning recommendations dynamically. This ensures that users receive continuous, personalized guidance that aligns with their evolving skills and career aspirations, resulting in a more efficient and effective learning experience.

Requirements

Real-time Data Collection

"As a user of SkillBlink, I want to provide my feedback and performance data in real-time, so that I can receive personalized recommendations that keep pace with my evolving skills and career goals."

Description

The Real-time Data Collection requirement enables the Adaptive Feedback Loop to continuously gather user input, including responses to assessments, performance metrics, and engagement levels through the platform. This functionality is crucial for ensuring the feedback loop remains relevant and personalized, adapting to the user's changing skills, preferences, and career aspirations. By harnessing this data, SkillBlink can refine learning recommendations and provide timely guidance, resulting in a tailored educational experience that aligns with both the individual user’s needs and organizational goals. This requirement also supports further analytics and insights into user progression, allowing for strategic enhancements to course content and structure.

Acceptance Criteria

User submits an assessment response via the SkillBlink platform after completing a module on interactive skill assessments.

Given a user has completed an interactive skill assessment, when they submit their response, then the system must capture the response in real-time and store it in the user profile.

User engages with learning materials over a period of time, with the system analyzing their engagement levels.

Given a user has viewed learning materials for at least 30 minutes, when the user stops engaging, then the system should collect data on engagement levels and update the feedback loop accordingly.

User completes a set of quizzes designed to evaluate their understanding of recent learning content.

Given a user completes multiple quizzes, when the quizzes are finalized, then the system must aggregate the performance metrics and adjust the learning path for the user based on their scores.

User accesses their personalized learning recommendations after providing feedback on previous modules.

Given a user provides feedback on their learning modules, when they access the recommendations section, then the system must display updated learning recommendations that reflect their most recent performance and input.

A mentor reviews a user’s progress and engagement levels during a mentorship session.

Given a mentor accesses a user's profile during a meeting, when reviewing the user’s engagement metrics, then the mentor should see real-time data that reflects the user's recent interactions and performance on the platform.

User responds to system-generated questions aimed at assessing their career aspirations.

Given a user answers a series of assessments about their career goals, when the input is submitted, then the system must analyze the responses and update the user's career path recommendations within one hour.

User receives a notification about their latest learning recommendations based on their recent activities.

Given a user has engaged with the platform consistently over a week, when the system analyzes their data, then the user should receive a push notification summarizing their progress and providing updated learning suggestions.

Dynamic Learning Recommendations

"As a user, I want the platform to update my learning recommendations based on my real-time feedback and performance, so that I can focus on the skills that will most benefit my career advancement."

Description

The Dynamic Learning Recommendations requirement involves the algorithmic generation of personalized learning paths based on the real-time data collected from users. It leverages machine learning techniques to analyze user performance, assessment outcomes, and engagement metrics to continuously update the curriculum suggestions tailored for each individual. This feature will result in more efficient learning, as users receive suggestions that reflect their current competencies and aspirations while filling knowledge gaps effectively. The integration of this capability within SkillBlink enhances user satisfaction and retention by ensuring that learning experiences remain relevant and are aligned with professional development needs.

Acceptance Criteria

User Engages with Adaptive Learning Recommendations

Given a user who has completed initial assessments and has active engagement with the platform, when they access the Learning Recommendations page, then they should see a dynamically updated list of personalized courses and resources that reflect their recent performance metrics and skill level.

Real-Time Performance Data Impact on Recommendations

Given a user who has completed multiple learning modules, when their performance data is updated in real-time, then the system should automatically adjust their learning path within 5 minutes to include new recommended courses based on the changes in their performance metrics.

Personalization of Learning Paths Over Time

Given a user who actively engages with recommended learning materials over a period of 30 days, when they reach specific learning milestones, then the system should incorporate feedback mechanisms to enhance the personalization of their learning path, ensuring that 90% of the course recommendations align with their evolving skills and career goals.

Feedback Loop Effect on User Satisfaction

Given a cohort of users utilizing the Adaptive Feedback Loop, when surveyed after one month of use, then at least 80% should report an increase in satisfaction regarding the relevancy of learning material to their professional development needs.

Engagement Metrics Utilization for Recommendations

Given a user whose engagement metrics (such as time spent on courses and module completion rates) are tracked, when their metrics indicate a drop in engagement for more than one week, then the system should alert the user with a tailored suggestion of new learning modules to renew their interest within the next 24 hours.

Algorithm Performance Evaluation

Given the machine learning algorithm for generating recommendations, when evaluated over a set of users, then it should show a minimum accuracy rate of 85% in predicting users' preferred learning paths based on historical engagement and feedback.

Integration of User Feedback into Recommendations

Given users' ability to provide feedback on their course selections, when at least 100 pieces of feedback are collected on course relevancy, then the feedback should be analyzed bi-weekly to inform system updates, ensuring that course adjustments reflect user input in at least 75% of cases.

User Engagement Analytics Dashboard

"As a user, I want to see my learning progress and engagement metrics in a dashboard, so that I can track my development and understand areas where I need to focus my efforts."

Description

The User Engagement Analytics Dashboard requirement provides users and mentors access to a comprehensive dashboard that visualizes user progress and engagement over time. This feature presents key metrics, including course completion rates, assessment scores, and feedback patterns, allowing users to understand their learning trends and mentor interactions better. By offering clear insights into their learning journey, users can make informed decisions about their development paths and adjust their strategies accordingly. This requirement also supports SkillBlink’s commitment to transparency and continuous improvement in user experiences, facilitating targeted interventions where necessary.

Acceptance Criteria

User accesses the User Engagement Analytics Dashboard for the first time to review their learning progress and engagement metrics.

Given the user is logged into SkillBlink, when they navigate to the User Engagement Analytics Dashboard, then they should see an overview of their course completion rates, assessment scores, and feedback patterns displayed visually.

A mentor reviews a user's performance data on the User Engagement Analytics Dashboard during a scheduled feedback session.

Given the mentor is logged in and has selected a specific user, when they access the User Engagement Analytics Dashboard, then they should see detailed statistics about the user’s progress, including metrics on engagement and interactions.

User utilizes the insights from the User Engagement Analytics Dashboard to adjust their learning strategy after noticing a drop in assessment scores.

Given the user has identified a decline in assessment scores, when they review their progress on the User Engagement Analytics Dashboard, then they should be able to identify specific areas for improvement and receive actionable recommendations based on the data presented.

Users receive a notification about the availability of the User Engagement Analytics Dashboard and its benefits for tracking their progress.

Given a new feature update is available, when the user logs into their SkillBlink account for the first time after the update, then they should receive a prompt explaining the User Engagement Analytics Dashboard and its functionalities.

A user attempts to replicate their completed courses overview from the User Engagement Analytics Dashboard into a report for their personal development review.

Given the user accesses the User Engagement Analytics Dashboard, when they select the option to export their course completion data, then they should successfully download a report in a user-friendly format (e.g., PDF, CSV) that includes their course completion rates and other relevant metrics.

Mentors want to analyze trends in user engagement over time using the User Engagement Analytics Dashboard.

Given the mentor is viewing a specific user's dashboard, when they select the engagement trend analysis feature, then they should see a graphical representation of user engagement metrics over the past weeks or months, allowing for easy identification of patterns.

Mentor-User Interaction Tools

"As a user, I want to have tools to communicate and interact with my mentor, so that I can receive personalized advice and support tailored to my professional growth."

Description

The Mentor-User Interaction Tools requirement involves the development of functionalities that allow users to easily connect with mentors within the SkillBlink platform. Features may include messaging, scheduling sessions, and sharing feedback on progress. This facilitates a collaborative learning environment and ensures users can access guidance and support from experienced professionals on a flexible basis. The requirement is essential for creating a robust community within SkillBlink, promoting peer interaction, and significantly enhancing the overall learning experience.

Acceptance Criteria

Mentor-User Messaging Functionality

Given a user is logged into the SkillBlink platform, when the user selects a mentor and initiates a message, then the message is successfully sent and received by the mentor without delays or errors.

Scheduling Mentor Sessions

Given a user has identified a mentor, when the user selects a time and date for a session from the mentor's available slots, then the session is successfully scheduled and both user and mentor receive confirmation notifications.

Feedback Sharing Mechanism

Given a user has completed a learning module, when the user provides feedback about their progress, then the feedback is submitted successfully and visible to both the user and their mentor in the feedback section.

Mentor Availability Display

Given a user is viewing a mentor's profile, when the user checks the mentor's availability calendar, then the calendar accurately reflects all available times for mentoring sessions without errors.

User Profiles and Mentorship Preferences

Given a user is creating their profile within SkillBlink, when the user fills out their mentorship preferences and submits the form, then the preferences are saved successfully and visible to potential mentors.

Notification System for Mentor Interaction

Given a user has a new message or scheduled session with a mentor, when the notification system activates, then the user receives instant notifications through email and in-app alerts to ensure timely awareness.

Customizable Certification Pathways

"As a user, I want to customize my certification pathway according to my interests and career goals, so that I can pursue relevant achievements that motivate and advance my professional status."

Description

The Customizable Certification Pathways requirement ensures users can create personalized certification routes based on their interests, skills, and career goals. This feature will allow users to select from various certification options while specifying their study timelines, resources, and milestones. By providing this level of customization, SkillBlink enhances motivation and engagement, as users feel empowered in their learning journey. The feature also incorporates alignment with industry standards, ensuring the certifications provided are recognized and valuable in the job market.

Acceptance Criteria

User customizes their certification pathway according to their career goals and timelines.

Given a user is logged into SkillBlink, when they navigate to the certification pathways section and select 'Create New Pathway', then they should be able to choose from a list of available certifications, set their own deadlines, and specify required resources without any errors.

User receives real-time suggestions for certification modifications based on their performance data.

Given a user has completed their initial certification assessments, when they view their pathway dashboard, then they should see tailored recommendations for adjustments to their certification based on their skill levels and progress metrics.

User tracks their progress towards their customized certification milestones.

Given a user is actively pursuing a certification pathway, when they access their progress tracker, then they should see a visual representation of their achievements against their set milestones over time, with clear indicators of completed and pending tasks.

User accesses resources and support for their chosen certifications.

Given a user has selected a certification pathway, when they click on the resources tab within the pathway, then they should be provided with a list of relevant study materials, links to mentorship connections, and forum discussions specifically tailored to their chosen certifications.

User modifies an existing certification pathway to better align with changing professional interests.

Given a user is in their active certification pathway, when they select the option to 'Edit Pathway', then they should be able to remove, add, or rearrange certifications and their associated timelines without system limitations.

User compares their certification pathways with industry standards to ensure relevance and value.

Given a user is in the certification pathways section, when they select a 'Compare to Industry Standards' feature, then they should receive an analysis of how their chosen certifications stack up against market demands and recognized industry benchmarks.

Feedback and Improvement Mechanism

"As a user, I want to give feedback about my learning experience so that the platform can improve and better meet my needs and preferences."

Description

The Feedback and Improvement Mechanism requirement allows users to provide structured feedback about their learning experiences, including course content, difficulty levels, and engagement with resources. This input will be analyzed to continually refine the content and adjust learning pathways, ensuring the SkillBlink platform remains relevant and effective. By establishing this two-way communication channel, the feature encourages user participation in the ongoing evolution of the learning environment, fostering a sense of community and shared investment in collective growth.

Acceptance Criteria

User submits feedback on a course they completed, indicating areas of improvement and overall satisfaction.

Given a user has completed a course, when they submit feedback then the system must store and acknowledge their feedback in the database and provide a confirmation message.

Admin reviews aggregated user feedback data to identify common trends in course difficulty and engagement levels.

Given the admin accesses the feedback analytics dashboard, when they filter by course and engagement level then the system must display comprehensive insights including average satisfaction scores and common comments.

User makes adjustments to their learning pathway based on the feedback they provided and receives a new set of recommendations.

Given a user has provided feedback and adjusted their preferences, when they navigate to their learning pathway then the system must display updated content recommendations aligned with their input.

User accesses a summary of the feedback they have provided over a specific time period.

Given a user is logged into their profile, when they select the feedback history option then the system must show a detailed list of all their submitted feedback including timestamps and responses from the system.

User provides feedback indicating that certain content is outdated or unengaging.

Given a user submits feedback indicating content is outdated, when the feedback is analyzed, then the content team receives a notification to review the feedback for potential updates.

Mentor reviews user feedback to adjust their mentoring approach and resources offered to the mentee.

Given a mentor is viewing their mentee's feedback, when they analyze the feedback data, then they must be able to identify key areas of improvement and adjust their mentoring resources accordingly.

Mentor Matchmaker

The Mentor Matchmaker feature uses AI algorithms to pair users with mentors who have complementary skills and experiences. By analyzing users' preferences and career goals, it creates meaningful mentor-mentee connections that foster professional growth and provide valuable insights, enhancing the collaborative learning environment.

Requirements

AI-Powered Mentor Matching

"As a user seeking career advancement, I want an AI-driven system to match me with mentors who align with my skills and goals so that I can receive tailored guidance and insights that propel my professional growth."

Description

The AI-Powered Mentor Matching requirement involves implementing advanced algorithms that analyze user profiles, preferences, skills, and career aspirations to facilitate intelligent matching between users and potential mentors. This requirement will enhance the user experience by promoting more relevant and beneficial mentor-mentee pairings, which are critical for professional growth and development. Additionally, it will leverage machine learning to continuously improve matching effectiveness based on user feedback and outcomes, thereby ensuring the platform adapts to evolving user needs and preferences over time. This feature will integrate seamlessly with the existing SkillBlink platform to provide a user-centric mentorship experience, thus driving engagement and satisfaction.

Acceptance Criteria

User initiates the mentor matching process by filling out a detailed profile that includes their skills, career goals, and preferences. They submit this information and await the AI's recommendation of suitable mentors.

Given a user has filled out their profile with skills and career goals, when they submit the profile, then the system must return a list of at least three mentors that match the user's profile criteria based on AI analysis.

A user receives a notification about potential mentor matches and accesses the list to view details about each recommended mentor.

Given a user has been matched with mentors, when they access the mentor matching results, then the system displays mentor profiles including skills, experience, and previous mentee feedback.

After being matched to a mentor, a user engages in their first mentorship session and is prompted to provide feedback based on their experience.

Given a mentorship session has occurred, when the user provides feedback, then the system should record their rating and comments to improve future matching recommendations.

The system learns from user feedback on mentor pairings over time to adjust the matching algorithm and improve its accuracy.

Given user feedback has been gathered over several mentorship sessions, when the system processes this feedback, then it should adjust the matching algorithm parameters to enhance precision in future matches.

A user uses the platform's search feature to find additional mentors outside of the AI recommendations based on specific skills or experiences.

Given a user is searching for mentors, when they enter specific skills or experiences in the search bar, then the system should return relevant mentor profiles that match the search criteria regardless of prior AI recommendations.

Users have a collaborative area where they can rate their mentor experience publicly, influencing future matchmaking decisions.

Given a user rates their mentor experience in the collaboration area, when they submit their rating, then the system should update the mentor's profile with the new rating in real-time, reflecting the mentor’s overall mentorship effectiveness as seen by future users.

User Preferences Configuration

"As a user, I want to configure my preferences for mentor matching so that I can ensure that my mentor-mentee connection aligns with my personal learning style and availability."

Description

The User Preferences Configuration requirement encompasses the development of a customizable interface that allows users to set their preferences for mentor matching. Users should be able to specify criteria such as preferred skills, industries, time availability, and mentoring styles. This capability is crucial as it empowers users to define their own mentorship experiences, ensuring that the pairings are not only based on algorithms but also on their personal preferences. This requirement will improve user satisfaction by allowing for a more personalized approach to mentorship, increasing engagement and the likelihood of successful mentor-mentee relationships. The implementation will include a user-friendly form and backend support for saving these preferences.

Acceptance Criteria

User sets mentor preferences on the configuration interface.

Given the user is on the User Preferences Configuration page, when they input preferred skills, industries, time availability, and mentoring styles, then the system should save these preferences successfully and display a confirmation message.

User applies changes to mentor preferences after initial configuration.

Given the user has previously set mentor preferences, when they modify any preferences and click 'Save', then the system should update their preferences and display the updated values in the interface.

User consults help documentation for setting preferences.

Given the user is on the User Preferences Configuration page, when they click the help icon, then the system should display relevant help documentation regarding setting mentor preferences.

User attempts to save empty mentor preferences.

Given the user is on the User Preferences Configuration page, when they leave the fields for preferred skills, industries, time availability, and mentoring styles empty and click 'Save', then the system should show an error message indicating all fields are required.

User views confirmation of saved preferences after configuration.

Given the user has successfully saved their mentor preferences, when they return to the User Preferences Configuration page, then the system should display their previously saved preferences accurately.

User experiences a system error while saving preferences.

Given the user is on the User Preferences Configuration page, when they attempt to save their preferences but a backend error occurs, then the system should display an error message indicating there was a problem saving their preferences and suggest trying again later.

User accesses the mentor matchmaker after setting preferences.

Given the user has set their mentor preferences, when they navigate to the Mentor Matchmaker feature, then the system should use the saved preferences to suggest relevant mentors based on those criteria.

Feedback Mechanism for Mentor Connections

"As a mentee, I want to provide feedback on my mentor experience so that my insights can help improve future mentor-mentee connections and enhance the overall platform."

Description

The Feedback Mechanism for Mentor Connections requirement is aimed at creating a system through which users can provide feedback on their mentor experiences. This requirement involves developing an input system where users can rate their mentors, describe their experiences, and suggest improvements. Collecting this feedback is essential for improving the matching algorithm and overall user experience, as it will allow the platform to learn from actual user interactions. This information can be analyzed to refine mentor pairings and ensure users are matched with the most suitable mentors, leading to a more effective learning environment.

Acceptance Criteria

User provides feedback after a mentoring session.

Given a user has completed a mentoring session, when they access the feedback section of their profile, then they can rate their mentor on a scale of 1 to 5 stars, write a detailed comment about their experience, and submit the feedback for further analysis.

System aggregates and displays feedback on mentors.

Given multiple users have submitted feedback, when an admin views the mentor's profile, then the system displays the average rating, the number of feedback submissions, and the latest feedback comments.

User receives a prompt to provide feedback.

Given a user completes a mentoring session, when the session concludes, then they receive a notification prompt within the platform to provide feedback on their mentor experience within 24 hours of the session.

Mentors can view feedback received from mentees.

Given a mentor has received feedback, when they log in and navigate to their feedback section, then they can see all feedback comments and ratings from their mentees along with suggestions for improvement.

System utilizes feedback to improve mentor matching.

Given the platform has collected feedback data from users, when the feedback is analyzed, then the system updates the matching algorithm to better align mentees with mentors based on feedback trends.

Users can edit their submitted feedback.

Given a user has previously submitted feedback, when they navigate back to their feedback section, then they have the option to edit their rating and comment within 14 days of submission.

Feedback analysis report is generated for stakeholders.

Given feedback has been collected over a certain period, when the admin requests a report, then the system generates an analysis report summarizing average ratings, the top-rated mentors, and common suggestions for improvement.

Real-time Mentor Availability Checker

"As a user, I want to check my mentor's real-time availability so that I can schedule our meetings conveniently without unnecessary back-and-forth communication."

Description

The Real-time Mentor Availability Checker requirement focuses on developing a feature that allows users to see when their mentors are available for meetings or consultations. Integrating a calendar system that syncs with mentors’ schedules will enable users to book sessions at optimal times, promoting better communication and engagement. This requirement is vital for fostering relationships between mentors and mentees, as it removes barriers to scheduling and enhances the user experience by making planning easier and more convenient. The implementation includes calendar integration and notifications for both parties.

Acceptance Criteria

Mentor Availability for User Booking

Given a user accesses the Mentor Matchmaker feature, when they view their mentor's profile, then they should see the mentor's available time slots for meetings, updated in real-time.

Notification of Mentor Availability Changes

Given a user has booked a session with a mentor, when the mentor's availability changes, then both the user and mentor should receive a notification of the updated schedule.

Calendar Integration Functionality

Given a mentor connects their calendar to the platform, when they add or change their availability, then this change should reflect immediately in the user's view of mentor availability.

Booking a Meeting with a Mentor

Given a user selects an available time slot for a meeting with their mentor, when they confirm the booking, then both the user and mentor should receive a confirmation, and the meeting should appear in their respective calendars.

User Feedback on Mentor Meeting Availability

Given a user has experienced the real-time availability checker, when they rate their experience, then the feedback should be collected and used to improve the feature.

Multi-Time Zone Support

Given a user and mentor are located in different time zones, when the user views the mentor's availability, then the times displayed should be adjusted to the user's local time zone for clarity.

Mentor Profile Enhancement

"As a user, I want to view a comprehensive mentor profile so that I can choose someone whose experience and feedback align with my professional development needs."

Description

The Mentor Profile Enhancement requirement focuses on enriching mentor profiles with relevant information that can help mentees make informed choices. This includes adding sections for mentors to share their career paths, specific expertise, and success stories, as well as displaying user ratings and feedback. The enhancement will provide a more holistic view of each mentor, fostering better connections by enabling users to select mentors that align more closely with their personal and career goals. The implementation will require a redesign of the mentor profile page and support for dynamic content updates.

Acceptance Criteria

Display of Enhanced Mentor Profiles

Given a user accesses the mentor profile page, When the page loads, Then the profile should include sections for career paths, specific expertise, success stories, user ratings, and feedback.

Dynamic Content Update for Mentor Profiles

Given a mentor updates their profile information, When the update is saved, Then the new information should be reflected on the mentor profile page within two minutes.

User Ratings and Feedback Submission

Given a user has interacted with a mentor, When the user submits a rating and feedback, Then the mentor's profile should reflect the updated average rating and display the new feedback immediately.

Search Functionality for Mentor Profiles

Given a user is on the mentor search page, When they enter specific keywords related to expertise or career paths, Then the search results should return relevant mentor profiles that match the criteria.

Mentor Profile Completeness Check

Given a mentor is viewing their profile, When they assess the completeness of their profile, Then the system should indicate if any required sections (career paths, expertise, success stories) are missing before allowing them to submit changes.

Comparison of Mentor Profiles

Given a user is viewing profiles of multiple mentors, When they select multiple mentors, Then the system should provide a comparative view highlighting differences in expertise, career backgrounds, and user ratings side by side.

Mentorship Journey Tracker

"As a mentee, I want to track my mentorship journey so that I can see the skills I have gained and reflect on my progress throughout the mentorship."

Description

The Mentorship Journey Tracker requirement involves creating a feature that allows users to log their mentoring sessions, skills acquired, and important insights gained throughout their mentorship experience. This functionality will enable users to visualize their progress over time, setting career-related goals and tracking achievements directly related to their mentor. By providing a structured way to document their journey, users will be more engaged in the learning process, enhancing overall satisfaction with the mentorship. The implementation includes a user-friendly dashboard and data visualization tools.

Acceptance Criteria

User logs their first mentorship session, entering details such as date, duration, skills discussed, and insights gained.

Given the user has completed a mentorship session, when they enter session details into the Mentorship Journey Tracker, then the session should be saved successfully and displayed on the user's dashboard.

User views their mentorship journey on the dashboard, with a visual representation of their progress over time.

Given the user has logged multiple mentorship sessions, when they access the Mentorship Journey Tracker dashboard, then they should see a graphical representation of their learning progress over time with all logged sessions displayed.

User sets career-related goals within the Mentorship Journey Tracker and tracks their achievement over time.

Given the user has defined a career goal, when they update their progress on that goal after each mentorship session, then the system should reflect an updated status of their goals, showing percentage completed based on logged skills acquired.

User receives reminders for upcoming mentorship sessions based on their logged schedule.

Given the user has logged a mentorship session with a scheduled date, when that date approaches (24 hours prior), then the user should receive a notification reminder for that session via email or in-app notification.

User shares insights gained from mentorship sessions with peers or mentors to enhance collaborative learning.

Given the user has insights logged from their mentorship sessions, when they choose to share an insight, then the system should allow them to share it with selected peers or mentors, and it should reflect in the shared insights section.

User wants to edit or delete a logged mentorship session after it has been saved.

Given the user has accessed previously saved mentorship sessions, when they select an option to edit or delete a session, then the system should allow them to make changes or remove the entry completely, confirming the action with a prompt.

User accesses a help section within the Mentorship Journey Tracker for guidance on logging sessions and using the dashboard features.

Given the user is on the Mentorship Journey Tracker, when they click on the help icon, then they should be directed to a comprehensive help section that includes FAQs, video tutorials, and contact options for support.

Skill Slice Insights

Skill Slice Insights breaks down users' skills into granular components, providing detailed analytics on their strengths and areas for improvement. This feature enables users to visualize their skill development trajectory, empowering them to make informed decisions about their learning paths and prioritize areas for growth.

Requirements

Detailed Skill Analytics

"As a user seeking career advancement, I want to see a detailed breakdown of my skills and their components so that I can understand my strengths and areas for improvement more clearly and make informed decisions about my professional development."

Description

This requirement involves the development of an in-depth analytics module within the Skill Slice Insights feature that allows users to view a breakdown of their skills into specific sub-skills. The module will provide visual representations and performance metrics, highlighting strengths and identifying areas for improvement. By integrating this module into the existing SkillBlink platform, users will gain actionable insights into their skill progression, enabling them to tailor their learning paths effectively and make informed career decisions. The detailed analytics will also incorporate benchmarks against industry standards, giving users a comparative perspective on their skill levels. This feature ultimately enhances user engagement and satisfaction, as it fosters a more personalized and targeted learning experience.

Acceptance Criteria

User views detailed skill analytics after completing a skill assessment.

Given the user has completed a skill assessment, when the user accesses the Skill Slice Insights feature, then the system should display a detailed breakdown of their skills into specific sub-skills along with performance metrics and visual representations.

User compares their skill analytics against industry standards.

Given a user has accessed their detailed skill analytics, when the user selects the option to view benchmark comparisons, then the system should display their skill levels alongside industry standards for easy comparison.

User receives actionable insights based on their skill analytics.

Given the user views their detailed skill analytics, when the analysis indicates areas for improvement, then the system should provide personalized recommendations and learning paths to address those areas.

User interacts with visual representations of their skills.

Given the user is viewing their skill analytics, when the user hovers over a visual representation of a skill, then the system should display detailed information about that skill, including strengths and weaknesses.

User tracks their progress over time using the analytics module.

Given the user has accessed their skill analytics, when the user selects the option to view historical data, then the system should display their skill progression over time with corresponding metrics and visual updates.

User's feedback is collected on the skill analytics module.

Given the user has interacted with the skill analytics module, when the user submits feedback through the provided mechanism, then the system should successfully capture the feedback for analysis and improvement.

Interactive Visual Skill Map

"As a user interested in exploring my skills, I want an interactive visual map of my skills and their connections so that I can better understand my current abilities and identify which skills I should focus on to advance further."

Description

This requirement entails creating an interactive skill map that visually represents users' skills and their relationships with one another. The skill map will display users' competencies hierarchically, allowing them to navigate between different skill levels and see how skills interconnect. By integrating this interactive feature with the existing Skill Slice Insights capabilities, users will not only visualize their current skills but also explore potential skill path trajectories for future development. This functionality will support users in identifying foundational skills necessary for more advanced competencies, facilitating a strategic approach to learning and development. This engaging visual aid aims to enhance user experience and comprehension of skill development pathways.

Acceptance Criteria

User Navigation in the Interactive Visual Skill Map

Given a user has accessed the Interactive Visual Skill Map, when they hover over a skill, then a tooltip displays detailed information about that skill, including level of competence and related skills.

Interaction with Skill Connections

Given a user is viewing the Interactive Visual Skill Map, when they click on a skill, then they should be able to view all skills that are dependent on that skill, displaying a list of foundational skills required for advancement.

Visualization of Skill Progression

Given a user has logged their skills within Skill Slice Insights, when they access the Interactive Visual Skill Map, then the map shows a visual representation of their current competencies against potential skill path trajectories for growth.

Adaptability to User Input

Given a user updates their skill levels in the system, when they refresh the Interactive Visual Skill Map, then the map should reflect the latest updates and provide an accurate representation of skills and relationships.

Integration with Certification Programs

Given a user views their skill competencies on the Interactive Visual Skill Map, when they complete a related certification program, then the map must highlight the related skills achieved with a visual indicator of progress.

Exporting Skill Map Data

Given a user interacts with the Interactive Visual Skill Map, when they select the export option, then they should receive a downloadable report summarizing their skills, progression, and recommendations for development.

Goal Setting and Tracking

"As a proactive learner, I want to set and track my skill development goals so that I can maintain my focus and motivation while working towards my professional enhancement."

Description

This requirement focuses on implementing a goal setting and tracking feature within the Skill Slice Insights framework. Users will be able to set specific, measurable goals related to their skill development and track their progress over time. The feature will include reminders and progress indicators that motivate users to remain accountable to their learning objectives. Integration with existing analytics will provide users with insights into their goal completion rates and areas that require additional effort. By offering this structured approach to skill development, the feature promotes self-directed learning, ensuring that users remain engaged and focused on their professional advancement.

Acceptance Criteria

User sets a new skill development goal for their critical thinking ability.

Given a user is logged into SkillBlink, when they navigate to the Goal Setting tab and enter a specific goal related to critical thinking skills, then the system must save the goal successfully and display it in the user’s goal list with a completion indicator set to 0% initially.

User tracks progress on their skill development goal.

Given a user has set a goal for improving their critical thinking skills, when they log progress by completing relevant assessments or learning modules, then the system should automatically update the completion percentage in real-time and provide visual feedback on their progress.

User receives a reminder about their upcoming skill development deadline.

Given a user has set a deadline for their critical thinking development goal, when the current date approaches the deadline, then the user should receive a notification reminder via email and in-app alert, prompting them to review their progress and take action if necessary.

User views analytics related to their goal completion rates.

Given a user has multiple skill development goals set, when they access the Analytics dashboard, then the system should display a summary of each goal’s completion rate, including areas that require more attention, clearly identified through a color-coded system (e.g., green for on track, red for behind schedule).

User adjusts an existing skill development goal.

Given a user wants to modify their critical thinking development goal, when they select the edit option and change the goal parameters, then the system must update the existing goal details and reflect any changes in the analytics dashboard immediately.

User marks a skill development goal as completed.

Given a user has fulfilled the requirements of their critical thinking goal, when they select the option to mark the goal as completed, then the system should update the completion status to 100%, log the achievement in the user’s profile, and potentially trigger a customizable certification achievement.

User deletes a previously set skill development goal.

Given a user no longer wishes to pursue a particular skill development goal, when they choose the delete option for that goal, then the system must remove the goal from the user’s account and confirm the action through a prompt.

Peer Comparison Tool

"As a user aiming for career growth, I want to compare my skills with peers so that I can better understand where I stand in my professional development and identify areas for improvement based on industry standards."

Description

This requirement describes the development of a peer comparison tool that will enable users to compare their skills and progress against peer benchmarks. This feature will provide insights on how users rank in specific competencies relative to their peers within their industry or chosen career path. The tool will use anonymized data to maintain privacy while empowering users to understand their skill standing and identify areas where they may need to enhance their skills. The peer comparison tool aims to foster a competitive yet supportive learning environment, encouraging users to strive for improvement while also facilitating engagement with community resources and mentorship opportunities.

Acceptance Criteria

User compares their skill levels in programming languages using the Peer Comparison Tool after completing a skill assessment.

Given the user has completed a skill assessment for programming languages, when they access the Peer Comparison Tool, then they should see a visual representation of their skill level compared to at least 10 anonymized peers in the same industry.

User wants to identify areas for improvement based on peer comparisons in soft skills.

Given the user is logged into the Skill Slice Insights platform, when they select the soft skills comparison option in the Peer Comparison Tool, then they should receive actionable insights with specific soft skills identified for improvement based on peer performance data.

User receives a notification about their progress ranking compared to peers within their learning community.

Given the user has opted into notifications, when a peer comparison report is generated, then they should receive a notification highlighting their ranking in key competencies along with suggestions for resources to enhance those skills.

User wants to access anonymized data privacy and usage policies before using the peer comparison feature.

Given the user is on the Peer Comparison Tool page, when they click on the privacy policy link, then they should be able to view a detailed and clear explanation of how their data will be used and anonymized.

User analyzes their skill development over time and wants to see improvements in key areas based on peer data.

Given the user has been using the Peer Comparison Tool for three months, when they view their skill development trajectory, then the tool must display their progress in at least three key skill areas as compared to the median skill levels of their peers.

Mentors use the Peer Comparison Tool to identify mentees needing support based on their performance against peers.

Given a mentor has access to the Peer Comparison Tool, when they input a mentee's details, then they should be able to view the mentee's specific skill rankings and compare them with the peer group's performance to identify area of focus.

User explores community resources to enhance skills based on peer comparison results.

Given the user has accessed the Peer Comparison Tool, when they view their rankings, then related community resources should be recommended to them automatically based on their skills and identified gaps.

Integrated Feedback System

"As a user eager to improve my skills, I want to receive feedback from peers and mentors on my performance so that I can gain insights into my strengths and areas for growth."

Description

This requirement involves creating an integrated feedback system that allows users to receive constructive feedback on their skills and performance from both peers and mentors. This feature will enable users to request feedback on specific skills and receive targeted suggestions for improvement. The feedback system will integrate seamlessly with the Skill Slice Insights analytics, allowing users to correlate feedback with their skill progression data. By fostering a culture of constructive feedback, the feature aims to enhance user engagement and accelerate professional development, transforming the learning process into a collaborative experience.

Acceptance Criteria

User requests feedback on a specific skill from a mentor through the feedback system.

Given a user has selected a skill from their Skill Slice Insights, when they request feedback, then the mentor should receive a notification to provide input within 24 hours.

User receives feedback and correlates it with their skill progression data in Skill Slice Insights.

Given a user has received feedback on a skill, when they view their Skill Slice Insights, then the feedback should be visible alongside their skill progression data, showing a clear relation between the feedback and current skill level.

Peer feedback is provided on a user's performance in real-time during a collaborative project.

Given a user is collaborating on a project, when their peers provide feedback through the integrated feedback system, then the user should receive notifications for each feedback entry within 30 seconds.

User submits feedback through the integrated feedback system after completing a learning module.

Given a user completes a learning module, when they submit feedback about the module, then they should receive a confirmation that their feedback was successfully submitted.

Mentors and users engage in constructive feedback discussions based on skill insights and analytics.

Given that feedback is provided by a mentor, when a user accesses the feedback through their dashboard, then they should be able to reply to the feedback and ask follow-up questions within the system.

Users are able to rate the quality of feedback received from mentors and peers.

Given a user has received feedback, when they rate the feedback for its helpfulness, then the rating should be recorded and displayed in the mentor's feedback analytics report.

Feedback history is trackable and accessible for users to review and learn from past feedback.

Given a user accesses their feedback history, when they select a specific feedback entry, then they should be able to view details about the feedback, including the skill assessed, the feedback provider, and any comments made.

Collaborative Content Suggestions

Collaborative Content Suggestions leverage the network of peers and mentors to propose learning materials that have been successful for others with similar profiles. This feature fosters a communal learning atmosphere by encouraging users to learn from the experiences of their network, promoting shared growth and knowledge exchange.

Requirements

Peer Learning Insights

"As a user, I want to see what learning materials my peers are engaging with so that I can choose relevant content that has proven effective for others."

Description

The Peer Learning Insights requirement focuses on the development of an algorithm that analyzes the interactions and feedback among users within the community. It will identify trending skills and knowledge gaps based on peer discussions and successful learning paths. This functionality will facilitate personalized recommendations for content that aligns not only with individual goals but also with popular preferences in the user community. The implementation of this requirement will enhance the collaborative aspect of SkillBlink by driving users towards content that is being actively engaged with by their peers, ultimately boosting skill advancements and community interaction.

Acceptance Criteria

User accesses the Peer Learning Insights feature to view trending skills and learning materials recommended based on peer interactions.

Given a user is logged into SkillBlink, When they navigate to the Peer Learning Insights section, Then they should see a list of trending skills and recommended learning materials based on peer discussions.

Mentors provide feedback on the recommended content, influencing future suggestions for other users.

Given a mentor has reviewed the recommended content in Peer Learning Insights, When they submit feedback, Then the algorithm should adjust future content recommendations for similar users accordingly.

A user completes an assessment and receives personalized content suggestions based on their identified skills and knowledge gaps.

Given a user has completed the skill assessment, When they view the content suggestions, Then they should receive at least three recommendations that align with their assessed skills and highlight popular content in the community.

Users who actively engage with shared learning paths report increased job satisfaction and skill application in their roles.

Given a user has interacted with the suggested content and learned new skills, When they provide feedback on their job satisfaction, Then they should indicate an improvement in job performance or feelings of preparedness in their role.

The algorithm tracks user interactions to refine the list of suggested content over time, ensuring relevancy.

Given a period of user interactions has occurred, When a user revisits the Peer Learning Insights, Then the content suggestions should reflect the latest trends and user engagement metrics within the community.

Users receive notifications about new trending skills that emerge from peer discussions to maintain engagement.

Given a skill has gained popularity within the user community, When a user logs into SkillBlink, Then they should receive a notification about this skill and its related learning materials available in Peer Learning Insights.

Mentor-Driven Content Recommendations

"As a mentee, I want my mentor to suggest specific learning materials so that I can benefit from their experience and make informed learning choices."

Description

This requirement aims to harness the expertise of mentors by implementing a feature that allows mentors to recommend learning materials based on their professional experience and insights. Mentors will have the ability to curate a list of resources tailored to the mentees' profiles, making the learning pathway more relevant and personalized. This recommendation system will improve engagement and boost learning outcomes by ensuring that users have access to high-quality, experienced-backed resources that cater to their career ambitions and current market demands.

Acceptance Criteria

Mentors are able to access the 'Mentor-Driven Content Recommendations' feature from their dashboard and view a list of their mentees.

Given a mentor is logged into their account, When they navigate to the 'Mentor-Driven Content Recommendations' section, Then they should see a list of their assigned mentees along with options to recommend learning materials for each.

Mentors can recommend specific learning materials to a mentee based on their career path and goals.

Given a mentor is viewing a specific mentee's profile, When they select learning materials from a curated library, Then the selected materials should be successfully recommended to the mentee's account with confirmation of the recommendation.

Mentees receive notifications about new content recommendations from their mentors.

Given a mentee has received new content recommendations from their mentor, When they log into their account, Then they should see a notification alerting them of the new recommendations and have access to view them immediately.

Mentors can provide feedback on the effectiveness of the recommended materials after the mentee has completed them.

Given a mentee has completed a recommended material, When the mentor reviews the material's impact, Then the mentor should be able to provide feedback and rate the effectiveness of the resource on a scale from 1 to 5 stars.

The system tracks and reports the engagement level of recommended materials by mentees.

Given a mentor has made several recommendations, When mentees engage with those materials, Then the system should track and report the engagement metrics such as completion rates and average ratings of each recommended resource.

Mentors can view the success metrics of their recommendations over time.

Given a mentor is on the 'Mentor-Driven Content Recommendations' dashboard, When they select a specific time period, Then they should be shown a report with metrics detailing the number of recommendations made, the engagement level, and the rating of resources used by mentees over that period.

Content Effectiveness Feedback Loop

"As a user, I want to provide feedback on the learning materials I’ve used so that others can benefit from my experience and the system can improve future suggestions."

Description

The Content Effectiveness Feedback Loop requirement involves the creation of a feedback system where users can rate and review the learning materials suggested to them. This feature will collect data on user satisfaction, learning outcomes, and content relevance which will be utilized to refine the recommendation algorithm continuously. By implementing this feedback loop, SkillBlink will maintain a high quality of content suggestions, ensuring that users are consistently guided towards materials that yield the best learning results and experiences.

Acceptance Criteria

User submits feedback on a learning material they were recommended via the Collaborative Content Suggestions feature.

Given a user is logged in and has completed a recommended learning material, when they navigate to the feedback submission page and rate the material on a scale of 1 to 5, then the system should record the feedback successfully and display a confirmation message to the user.

An admin reviews the feedback data submitted by users to analyze content effectiveness.

Given that multiple users have submitted feedback on various learning materials, when the admin accesses the feedback analysis dashboard, then they should see a summary report showing average ratings, number of reviews, and trends over time for each learning material.

The recommendation algorithm adjusts based on the aggregated feedback from users.

Given that feedback data is available in the system, when the recommendation algorithm runs its scheduled update, then it should prioritize learning materials with higher average ratings and positive feedback in future recommendations for users with similar profiles.

A user checks the status of their submitted feedback on a learning material.

Given a user has submitted feedback on a learning material, when they navigate to their feedback history page, then they should see their previous feedback entries along with the status indicating if their feedback has been acknowledged or utilized in content adjustments.

Users receive notifications about updated recommendations after feedback improves existing content suggestions.

Given a user has submitted feedback that has led to changes in content suggestions, when the changes are implemented, then the user should receive a notification informing them of the updated recommendations tailored to their learning preferences.

Users can view the effectiveness ratings of learning materials before selecting them.

Given that a user is browsing recommended learning materials, when they hover over or click on a material, then they should see a tooltip or popup displaying the average user rating and a summary of user reviews for that material.

The system ensures user feedback is adequately validated and relevant before incorporating it into the recommendation algorithm.

Given a user submits feedback with specific comments and a numerical rating, when the feedback is evaluated, then the system should check for completeness (rating + comment) and appropriateness, ensuring it meets the criteria before it influences the algorithm.

Dynamic Learning Path Adjustments

"As a user, I want to adjust my learning path based on recommendations from my peers and mentors so that I can stay aligned with effective and relevant learning strategies."

Description

Dynamic Learning Path Adjustments is a requirement that allows users to modify their learning paths based on peer suggestions and mentor recommendations actively. This feature enables users to switch or reschedule topics based on real-time feedback and community trends. The purpose of this flexibility is to empowering users to make informed choices about their skill development journey. By doing so, it fosters a more personalized experience that adapts to both communal knowledge and the user's evolving needs, promoting continuous engagement.

Acceptance Criteria

Users receiving suggested learning materials from peers after completing a skill assessment and updating their learning path.

Given a user has completed a skill assessment, when they view their learning path, then they should see suggested content from peers that align with their skill gaps.

Mentors recommending specific learning resources to users based on their current progress and skill assessments.

Given a user is in a learning path, when a mentor reviews their progress, then the mentor can suggest one or more resources that should appear in the user's learning path.

Users interacting with the community to provide feedback on suggested learning materials and modifying their learning paths accordingly.

Given a user views peer suggestions, when they select a suggested resource, then they should have the option to add it to their learning path and provide feedback on its effectiveness.

Users rescheduling their learning topics based on community recommendations and the ease of access to resources.

Given a user wants to reschedule a topic, when they access the scheduling interface, then they should see available topics based on peer recommendations for the next week.

Real-time analytics displaying the most selected resources by peers in the user's network.

Given a user is viewing their learning path, when they check the analytics section, then they should see a list of the top 5 most selected resources by their peers this month.

System notifying users of new content suggestions from their network and allowing instant updates to their learning path.

Given new content suggestions have been made by the user's peers, when the user logs in, then they should receive a notification and be able to instantly update their learning path with those suggestions from the dashboard.

Social Learning Notifications

"As a user, I want to receive notifications about new recommendations from my network so that I can stay connected and informed about valuable learning resources."

Description

The Social Learning Notifications requirement aims to keep users informed about new recommendations from their peers and mentors through real-time notifications. Users will receive updates when there are new learning materials suggested or trending within their network. This feature enhances user engagement by creating a sense of community and urgency around personal development opportunities, ensuring that users do not miss out on valuable content relevant to their learning goals.

Acceptance Criteria

User receives a real-time notification on their mobile device when a peer or mentor suggests a new learning material relevant to their profile.

Given the user is logged into the SkillBlink platform, when a peer or mentor suggests new learning material, then the user should receive a push notification within 5 minutes of the suggestion being made.

Users can view a list of recent recommendations made by their peers and mentors directly in the application dashboard.

Given the user opens the SkillBlink application, when they navigate to the notifications section, then the user should see a list of at least 5 recent recommendations displayed with the author’s name and time of suggestion.

Users are notified when trending learning materials are suggested within their network, encouraging participation in community learning.

Given multiple users in the network have suggested the same learning material, when the material trends, then all users in that network should receive a notification indicating that it is trending within their community.

Notifications can be customized by users to specify which types of suggestions they want to receive.

Given the user accesses the notification settings, when they customize their preferences, then the system should allow them to select categories of recommendations they wish to receive updates for and should save their preferences accurately and persistently.

Users can mute or unmute specific peers or mentors to control the notifications they receive.

Given the user selects a mentor or peer to mute, when they confirm the action, then the system should stop sending notifications from that specific user and provide an option to unmute at any time.

The system logs the user activity related to interactions with notifications for analytics purposes.

Given the user interacts with a notification (e.g., clicks on it or dismisses it), when the interaction occurs, then the system should log the action, including the type of notification and the time of interaction for analytics.

Users can provide feedback on the relevance of the content suggested in notifications to improve future suggestions.

Given a user receives a notification about suggested content, when they have the option to provide feedback on its relevance, then they should be able to submit feedback in less than 30 seconds, which is collected for enhancing the suggestion algorithm.

Goal Alignment Tracker

The Goal Alignment Tracker monitors users' progress towards specific career goals, offering insights on how current learning activities align with their aspirations. This feature helps users stay focused on their objectives while adapting their pathways, driving motivation and ensuring that their learning remains relevant to their professional development.

Requirements

Real-time Progress Monitoring

"As a user, I want to see my progress updated in real-time so that I can quickly understand how my activities correlate with my career goals and make necessary adjustments to my learning path."

Description

The Real-time Progress Monitoring feature enables users to view their advancement towards career goals at any moment through an intuitive dashboard. By integrating with activity logs and learning modules, this function delivers immediate feedback on learning activities, helping users understand how these actions contribute to their career trajectories. This real-time visibility fosters proactive adjustments in learning paths, boosts user engagement, and ensures that users are perpetually aligned with their objectives, thereby enhancing motivation and satisfaction.

Acceptance Criteria

User accesses the real-time progress monitoring dashboard after completing an online learning module to evaluate immediate feedback on their goal alignment.

Given the user has completed a learning module, when they access the real-time progress monitoring dashboard, then they should see updated metrics indicating their progress towards their career goals within 5 seconds of completion.

User reviews their dashboard to adjust their learning path after noticing a decrease in progress towards a specific goal.

Given the user has noticed a decrease in progress towards a career goal, when they review the real-time dashboard, then they should receive recommendations for alternative learning activities that can improve their alignment with their goals.

User engages with the feedback provided on their real-time progress monitoring dashboard during a career coaching session.

Given the user is in a career coaching session, when they present their progress from the real-time dashboard, then the coach should be able to view and analyze the metrics displayed and provide actionable advice based on user insights.

A user wants to check their progress during a flash review before a scheduled performance evaluation.

Given the user is preparing for a performance evaluation, when they check the real-time progress monitoring dashboard, then they should be able to view a summary of all completed activities and their impact on overall goal achievement clearly displayed on the dashboard.

User receives a notification of progress drop when their activity logs indicate inactivity for a specified duration.

Given the user has been inactive for 2 weeks, when they log into SkillBlink, then they should receive a notification alerting them of the drop in their progress toward their goals, along with suggestions to re-engage with the learning modules.

User shares their progress metrics with a mentor to discuss their development in relation to career goals.

Given the user selects the share feature on the dashboard, when they send their progress metrics to their mentor, then the mentor should receive a visually accessible report summarizing key metrics related to goal achievement and areas for improvement.

User attempts to customize their progress dashboard settings to prioritize specific career goals.

Given the user is on the dashboard settings page, when they select which career goals they want to prioritize, then the dashboard should update to reflect these priorities and display relevant metrics front and center in real-time.

Adaptive Learning Pathways

"As a user, I want my learning pathway to adapt based on my progress and preferences so that I can stay motivated and ensure I am acquiring the skills necessary for my career advancement."

Description

The Adaptive Learning Pathways requirement outlines the ability of the system to customize the learning journey for each user based on their progress and career aspirations. This feature utilizes AI algorithms to analyze user behaviors, performance data, and feedback to dynamically adjust course recommendations, ensuring relevance and efficacy in skill development. By providing personalized pathways, users experience enhanced learning outcomes, increased engagement in the material, and strengthened alignment with their professional goals.

Acceptance Criteria

User starts using the SkillBlink platform and inputs their current career goals and desired skills to learn.

Given the user has entered their career goals, when the Adaptive Learning Pathways feature analyzes user data, then the user receives personalized course recommendations that are relevant to their goals.

The user completes a course and wants to see how it aligns with their overall career goals.

Given the user has completed a course, when they check their progress, then the system must reflect an update in their learning pathway showing the relationship between the completed course and their career aspirations.

The user receives feedback on their performance in a learning activity and wants the system to adjust their learning path accordingly.

Given the user receives performance feedback, when the Adaptive Learning Pathways feature processes this feedback, then the system should suggest alternative courses or resources that better align with the user's needs and goals.

A user is unmotivated and feels their selected learning paths are not beneficial; they seek support on how to get back on track.

Given the user expresses a lack of motivation, when they access the Goal Alignment Tracker, then the system should provide insights on their progress and suggest learning activities that can rekindle their interest and align with career objectives.

An administrator wants to review the effectiveness of the Adaptive Learning Pathways feature over a quarter.

Given the admin accesses the performance data, when they generate a report on course completion and user engagement metrics, then the system should provide comprehensive analytics demonstrating the effectiveness of personalized learning pathways in enhancing user engagement and goal alignment.

The user wants to update their career goals and see an immediate adjustment in their learning recommendations.

Given the user updates their career goals in the system, when they refresh their learning pathway, then the recommendations should dynamically reflect the new goals without delay.

The user desires to track their overall skill development progress relative to their career aspirations over time.

Given the user navigates to their personal dashboard, when they view their skill tracking data, then the information displayed should graphically represent their progress against their career aspirations and highlight any skills that require further development.

Goal Tracking Notifications

"As a user, I want to receive notifications about my career goals and milestones so that I can stay on track and motivated to achieve my objectives."

Description

The Goal Tracking Notifications feature provides users with timely alerts and reminders regarding their progress towards their set career objectives. Integrated with the user’s calendar and learning schedule, this system can send notifications related to upcoming deadlines, achievements, and suggested next steps. These notifications serve as motivational prompts that keep users focused and accountable, thus driving consistent progress and engagement in their learning journey.

Acceptance Criteria

User receives a notification reminding them of an upcoming deadline for a skill assessment they need to complete for their career goal.

Given the user has a deadline set in their calendar, when the deadline is approaching, then the system sends a notification 24 hours before the deadline and an additional reminder 1 hour before the deadline.

User wishes to receive alerts about their recent achievements in the learning program.

Given the user completes a learning module, when they achieve a milestone, then the system sends a congratulatory notification that details the milestone achieved and suggests next steps.

User integrates their existing calendar with the Goal Tracking Notifications feature.

Given the user connects their calendar to the SkillBlink platform, when events are added to the calendar, then notifications are automatically created and sent to the user based on the added calendar events related to learning goals.

User wants to adjust their notification preferences for career goal updates.

Given the user is in the settings section, when they choose to toggle notification preferences, then the changes are saved, and the user receives notifications according to the newly set preferences.

User checks their notification history to review past alerts and reminders.

Given the user accesses the notification history feature, when they request to view past notifications, then the system displays a comprehensive list of all notifications received, including dates and times.

User has objects in their learning activities that are aligned with their career goals.

Given the user is working on a learning activity that contributes to their stated goals, when they complete the activity, then the system tracks the progress and updates the user on the alignment with their goals through a notification.

User wishes to receive daily motivational tips related to their career goals through notifications.

Given the user opts into daily motivational notifications, when the specified time arrives each day, then the system sends a motivational tip tailored to the user's career aspirations.

Peer Collaboration Tools

"As a user, I want to connect with peers and mentors to share progress and experiences so that I can receive support and new ideas for my skill development."

Description

The Peer Collaboration Tools allow users to connect with mentors and peers, facilitating discussion and sharing of progress towards career goals. This feature includes functionalities for group discussions, resource sharing, and feedback loops that encourage collaborative learning. By fostering a community of support, users benefit from diverse perspectives and advice, which enhances their motivation and broadens their understanding of the skills necessary for success in their fields.

Acceptance Criteria

User initiates a peer collaboration session to discuss career goals with assigned mentor and peers through the SkillBlink platform.

Given a user has selected a specific career goal, When they invite peers and mentors to a collaboration session, Then all invited participants receive a notification with the session details and can join the discussion.

User shares resources related to their learning activities within a group collaboration space to provide insights and solicit feedback on progress.

Given users are in an active group collaboration space, When a user uploads a resource, Then the resource is accessible to all group members, and they can comment on it to provide feedback.

A user receives feedback from their mentor after a collaboration session where they discussed their learning path and progress.

Given a user has completed a collaboration session with their mentor, When the mentor submits feedback, Then the user receives a notification with the feedback and suggested resources for improvement.

User tracks their progress towards their career goals using insights derived from peer discussions and shared resources.

Given a user has engaged in multiple peer collaboration sessions, When they access their Goal Alignment Tracker, Then they can view insights linking their session contributions to their overall progress towards their career goals.

A user participates in a group discussion about the challenges and opportunities in developing specific skills related to their career goals.

Given users are part of a discussion group, When a user poses a question about skill development challenges, Then all group members can respond, and the discussion is saved for future reference.

Users rate the effectiveness of peer collaboration sessions to improve future interactions.

Given users have completed a peer collaboration session, When they are prompted to rate the session, Then their ratings and feedback are recorded and can be analyzed for improvements.

User sets up a recurring peer collaboration session to ensure ongoing support and accountability in achieving career goals.

Given a user sets up a recurring collaboration session, When the session is scheduled, Then all participants receive calendar invites and reminders before each session.

Achievement Badges and Rewards

"As a user, I want to earn badges and rewards for my achievements so that I feel recognized for my progress and stay motivated to continue learning."

Description

This requirement focuses on implementing a gamified system of achievement badges and rewards that celebrate users' progress towards their career goals. As users complete milestones or learning modules, they earn badges that recognize their accomplishments. This system not only serves as motivation for users to continue their learning paths but also encourages engagement through social sharing and friendly competition among peers, resulting in an overall enhancement of the learning experience.

Acceptance Criteria

User earns a badge after completing their first learning module on SkillBlink, receiving a notification and visible display of the badge within their profile.

Given a user has completed the first learning module, when they check their profile, then they should see a badge displayed for completing their first module.

Users can share their earned badges on social media platforms to celebrate their achievements and encourage peer engagement.

Given a user has earned a badge, when they select the option to share the badge, then the badge should be successfully posted to their chosen social media platform with a relevant message.

Users receive a summary report of their earned badges and progress every month, providing insights into their learning journey and motivation.

Given it is the end of the month, when the user accesses their profile, then they should receive a summary report that details their earned badges and learning milestones achieved during the month.

Users compete in a friendly challenge where earning badges contributes to a leaderboard position that reflects their overall progress compared to peers.

Given multiple users are participating in challenges, when a user earns a badge, then their leaderboard position should update accordingly to reflect the total badges earned.

Users can view the criteria required to earn each badge, ensuring transparency and understanding of the achievement system.

Given a user is viewing the badge section in their profile, when they click on a specific badge, then the system should display the criteria needed to earn that badge.

Achievements are acknowledged through customizable notifications and pop-ups, enhancing user engagement and celebration of milestones.

Given a user earns a badge, when the notification is triggered, then a pop-up should appear on the screen that congratulates the user and explains the significance of the badge earned.

Users can customize the visibility of their earned badges on their profiles to control what information is shared with others in the SkillBlink community.

Given a user is in their profile settings, when they adjust the visibility settings for badges, then the changes should be saved and reflected immediately on their public profile.

Comprehensive Skill Assessment

"As a user, I want to take skill assessments to identify my strengths and areas for improvement so that I can effectively align my learning efforts with my career goals."

Description

The Comprehensive Skill Assessment feature allows users to evaluate their existing skills and identify areas for improvement. This assessment is designed to be interactive, providing users with tailored feedback based on their performance. By understanding their current skill levels and gaps, users can make informed decisions about their learning paths, ensuring that they focus on relevant topics that drive their career progression.

Acceptance Criteria

User initiates the Comprehensive Skill Assessment to evaluate their current skills and receives immediate feedback on their performance and areas for improvement.

Given the user starts the Comprehensive Skill Assessment, when they complete all tasks, then personalized feedback on strengths and weaknesses should be presented immediately.

Users can retake the Comprehensive Skill Assessment to measure their improvement over time after completing their learning activities.

Given the user has completed the initial assessment, when they retake the Comprehensive Skill Assessment, then the system should provide a comparative analysis of their previous and current performance along with updated feedback.

Users may save their Comprehensive Skill Assessment results to their profiles for future reference and tracking progress towards skill improvement.

Given the user completes the assessment, when they choose to save their results, then the results should be stored in their profile with a timestamp indicating when the assessment was taken.

Users need to access their assessment results in a user-friendly format that highlights key areas for development.

Given the user navigates to their assessment results, when they view the results page, then it should clearly highlight areas of strength and areas needing improvement using visual aids like graphs or charts.

Mentors can view their mentees' Comprehensive Skill Assessment results to provide targeted guidance and support.

Given a mentor is viewing a mentee's profile, when they access the assessment results section, then the mentor should be able to see detailed assessment outcomes and provide feedback based on those results.

The Comprehensive Skill Assessment should adapt to different industries and roles, ensuring relevance for various user backgrounds.

Given a user selects their industry and role prior to the assessment, when they complete the assessment, then the feedback and assessment criteria should be tailored to match their specific job demands and skills needed.

Users should be able to receive recommendations for specific learning activities based on their assessment results that align with their career goals.

Given the user receives feedback from their Comprehensive Skill Assessment, when they view the recommended learning activities, then the activities should be relevant to their identified skill gaps and career aspirations.

Dynamic Recommendation Engine

The Dynamic Recommendation Engine utilizes advanced algorithms to constantly update learning suggestions based on industry trends, user engagement, and skill evolution. This feature ensures that users are always presented with the most pertinent and timely resources, helping them stay ahead in their careers while also fostering continuous growth.

Requirements

Personalized Learning Suggestions

"As a user, I want personalized learning suggestions so that I can focus on the skills and courses that matter most to my career development."

Description

The Personalized Learning Suggestions requirement focuses on developing an algorithm that tailors course recommendations to each user's specific career path and skills. By analyzing user interactions and preferences, this feature will provide users with a unique learning journey, presenting relevant courses and resources that align with their career goals. This functionality enhances user engagement and ensures optimal learning experiences, resulting in higher satisfaction and better skill acquisition. Integration with the existing platform will be seamless, as it capitalizes on user data already available within SkillBlink, thereby improving results without additional user input.

Acceptance Criteria

User receives personalized course recommendations after completing an interactive skill assessment on SkillBlink.

Given that the user has completed a skill assessment, when they log into their SkillBlink account, then they should see a list of at least five personalized course recommendations based on their skills and career goals.

User engagement data informs the recommendation engine to optimize learning suggestions over time.

Given that the user regularly interacts with the platform, when their engagement metrics are analyzed, then the recommendation engine should adjust the learning suggestions within 24 hours to reflect their recent activity and preferences.

User can select and enroll in a recommended course through an intuitive interface.

Given that the user views their personalized recommendations, when they click on a course title, then they should be directed to an enrollment page where they can easily register for the course with a confirmation message displayed upon successful enrollment.

The recommendation engine incorporates industry trends in its course suggestions for users seeking skills aligned with future job markets.

Given that industry trend data is updated, when a user accesses their personalized recommendations, then at least one course suggestion should relate to current industry trends reflecting skills in high demand within the last month.

User feedback on course recommendations influences future suggestions by the Dynamic Recommendation Engine.

Given that a user provides feedback on a recommended course, when they rate the course, then the Dynamic Recommendation Engine should take this feedback into account to refine and improve future course recommendations for that user.

The platform ensures a seamless integration of personalized learning suggestions with existing user data without requiring additional user input.

Given that the user has a profile with existing skill data, when the personalized algorithm is implemented, then it should accurately generate personalized suggestions without prompting the user for extra details.

Real-time Progress Tracking

"As a user, I want real-time progress tracking so that I can see how far I’ve come in my learning journey and identify areas where I need to improve."

Description

Real-time Progress Tracking is a requirement designed to implement a sophisticated tracking system that updates users on their learning journey and skill development. This feature will visually represent user progress through various courses and skill assessments, providing insights into areas of strength and improvement. The dynamic display of metrics, such as course completion rates and skills acquired, will motivate users and inform them about their growth over time. Integration with the platform’s user dashboard will be crucial for delivering a cohesive experience where users can easily view and evaluate their progress.

Acceptance Criteria

User accesses their dashboard to view progress in learning courses and skill assessments.

Given a user is logged into the SkillBlink platform, when they navigate to the dashboard, then they should see their real-time progress displayed visually through completion percentages and skill assessments.

User completes a course and wishes to see the updated metrics on their progress tracker.

Given a user has completed a course, when the user refreshes their dashboard, then the progress tracking metrics for that course should update instantly to reflect 100% completion.

User engages with skill assessments to evaluate their strengths and weaknesses.

Given a user takes a skill assessment, when they finish the assessment, then their dashboard should immediately display the assessment results along with recommendations for further courses or skills to improve.

A user wants to track their long-term progress over multiple courses.

Given a user has completed multiple courses over time, when they access their progress tracking over a specified timeframe, then they should see a comprehensive report featuring trends in their skill development and areas needing improvement.

A mentor reviews the progress of their mentee on the SkillBlink platform.

Given a mentor accesses the dashboard of their mentee, when they view the progress tracking section, then they should be able to see detailed metrics, including completed courses and skill levels with the ability to comment or provide feedback.

Mentorship Matching System

"As a user, I want a mentorship matching system so that I can connect with a mentor who can guide me in my professional journey and help accelerate my career growth."

Description

The Mentorship Matching System requirement aims to develop an AI-driven feature that connects users with potential mentors based on skills, interests, and career aspirations. This system will analyze user profiles and preferences to facilitate meaningful mentor-mentee relationships, enhancing the user's professional growth through guidance and insights from experienced individuals. The mentorship program will be integrated into the existing SkillBlink platform, allowing users to easily navigate, communicate, and engage with their mentors, thereby fostering collaboration and continuous learning.

Acceptance Criteria

Mentorship Matching based on User Profiles

Given a user with a complete profile, when they request a mentor match, then the system should provide at least three mentor options that align with their skills, interests, and career aspirations.

Mentor Engagement Tracking

Given a matched mentor and mentee, when the mentee logs interactions with their mentor, then the system should update the mentorship engagement metrics and allow both parties to view their contact history and progress.

User Feedback on Mentorship Experience

Given the completion of a mentorship relationship, when the mentee submits feedback on their experience, then the system should prompt for a rating and provide an option to leave qualitative comments, which will be stored for future improvements.

Notification System for New Mentor Matches

Given a user has been matched with a mentor, when the match is confirmed, then the user should receive a notification via email and within the SkillBlink app detailing the mentor’s profile and next steps for engagement.

Integration with Dynamic Recommendation Engine

Given a user receives mentorship, when they complete mentorship sessions, then the mentorship outcomes should influence the recommendations in the Dynamic Recommendation Engine to suggest further learning resources.

Mentor Availability Calendar

Given a mentor's profile, when a mentee views the mentor details, then the system should display the mentor’s available times for meetings in real-time to facilitate scheduling.

Reporting and Analytics for Mentorship Matches

Given the active mentorships, when an admin reviews mentorship statistics, then the system should generate reports detailing the number of successful matches, user satisfaction ratings, and overall engagement levels.

Industry Trend Analysis

"As a user, I want industry trend analysis so that I can stay informed about the latest developments in my field and adjust my learning accordingly."

Description

The Industry Trend Analysis feature focuses on implementing an analytical tool that continuously evaluates external data sources to keep users informed about emerging trends in their fields. This requirement aims to provide users with up-to-date information directly related to their career interests, enhancing their ability to adapt and make informed decisions regarding their learning paths. By integrating this feature into the platform, users will receive alerts and suggestions for courses related to trends, ensuring that they remain competitive and relevant in a fast-evolving job market.

Acceptance Criteria

Alerts and Suggestions from Industry Trend Analysis Triggered During User Engagement

Given that a user actively engages with their personalized learning dashboard, when the Industry Trend Analysis identifies a new relevant trend, then the user should receive an alert and course suggestions tailored to that trend immediately within the dashboard.

Updates to Learning Suggestions Based on Real-Time Industry Data

Given that the user has not engaged with their recommendations for over a week, when the Dynamic Recommendation Engine processes new external industry data, then the engine should refresh the user's learning suggestions with at least three updated course options tailored to the user's skill preferences and identified trends.

Integration of External Data Sources for Industry Trend Analysis

Given that the platform is designed to aggregate industry data, when a new external data source is integrated, then the system should accurately update the Industry Trend Analysis to incorporate insights and information from the new source within 24 hours.

User Feedback Mechanism for Course Relevance Based on Trends

Given that users receive course suggestions based on industry trends, when a user completes a course and provides feedback regarding its relevance to current trends, then that feedback should be logged and analyzed to influence future recommendations for at least 10 subsequent users with similar profiles.

Performance Metrics for the Dynamic Recommendation Engine Post-Implementation

Given that the Dynamic Recommendation Engine has been launched, when at least one month has passed since its deployment, then the system should demonstrate a 20% increase in user engagement with suggested courses compared to the month prior to implementation.

Real-Time Adjustments of Suggestions Based on User Performance

Given that a user completes a skill assessment, when their performance indicates a shift in competency level in a particular area, then the suggestion engine should adjust recommendations to reflect appropriate next steps for skill development without delay.

Adaptive Skill Assessments

"As a user, I want adaptive skill assessments so that I can better understand my skill levels and receive relevant learning recommendations based on my performance."

Description

The Adaptive Skill Assessments requirement focuses on developing an intelligent assessment tool that evaluates user skills through interactive and personalized questions that adjust based on user performance. This feature will provide tailored assessments that can accurately measure a user’s skill levels and provide instant feedback, guiding them toward the next steps in their learning paths. Integration with the existing learning resources will allow users to be directed to suitable courses immediately after assessment completion, promoting seamless learning progression and enhanced skill development.

Acceptance Criteria

User begins an adaptive skill assessment to evaluate their current proficiency in digital marketing. They access the assessment through the SkillBlink platform after selecting their desired skill area for improvement.

Given the user has initiated the adaptive skill assessment, When the user completes the questions, Then the system should dynamically adapt the questions based on the user's previous answers and skill level.

After completing the adaptive skill assessment, the user receives feedback on their performance along with tailored course recommendations to enhance their skills further.

Given the user has completed the adaptive skill assessment, When they view their results, Then the system should display instant feedback on areas of strengths and weaknesses, followed by suggested courses that match their skill gaps.

A user who has finished the adaptive skill assessment notices that their recommended courses are based on the most current industry standards and trends.

Given the user has received course recommendations post-assessment, When they review the suggested resources, Then the recommendations should be updated to reflect the latest industry trends and relevance to the assessed skills.

An organization utilizes the adaptive skill assessments for its team members as part of their professional development strategy, seeking to ensure skills are accurately evaluated and matched with learning paths.

Given the organization has access to the adaptive skill assessment feature, When team members complete their assessments, Then the system should compile and provide skill level reports to the organization, enabling tailored learning paths for each member.

A user struggles with certain questions in the adaptive skill assessment, leading to potential frustration during the evaluation process.

Given the user encounters difficulties with specific questions, When their performance indicates multiple incorrect answers, Then the system should provide hints or alternative question formats to aid understanding without compromising assessment integrity.

Users complete adaptive skill assessments regularly, and their progress is tracked over time to inform future learning paths and measure development.

Given users have taken the adaptive skill assessments multiple times, When they check their progress report, Then the system should accurately reflect the user's skill improvement and suggest further assessments to continue their growth.

Mentor Profiles

Mentor Profiles offer comprehensive showcases of mentors' backgrounds, skills, and experiences, allowing users to filter and select mentors based on specific criteria, such as industry expertise, availability, and mentorship style. This feature enhances the user experience by making mentor selection more intuitive and personalized, enabling connections that align closely with users' professional goals.

Requirements

Dynamic Filtering Options

"As a user, I want to be able to filter mentors by their expertise and availability so that I can find the best match for my professional development needs."

Description

Dynamic Filtering Options allow users to sort and filter potential mentors based on various criteria such as industry expertise, availability, skill sets, and mentoring styles. This feature enables a more personalized user experience by helping users quickly identify mentors who meet their specific professional needs. By allowing users to refine their searches based on criteria that are relevant to their goals, this capability enhances user satisfaction and ensures efficient matches between users and mentors, fostering productive mentorship relationships.

Acceptance Criteria

User selects filters based on industry expertise, availability, and mentoring style to find suitable mentors.

Given the user is on the Mentor Profiles page, when they apply filters for industry expertise, availability, and mentoring style, then the list of mentors must update to show only those who match the selected criteria.

User wants to reset their filter selections to view all available mentors again.

Given the user has applied filters, when they click the 'Reset Filters' button, then all mentor profiles should be displayed without any filters applied.

User applies filters and finds a mentor who fits their criteria, but also wants to see additional information about that mentor.

Given the user has filtered the mentor list, when they click on a mentor's profile, then a detailed view of the mentor's background, skills, and experiences should be displayed.

User selects multiple skill sets as filters to identify mentors who have a range of relevant skills.

Given the user is filtering mentors based on skill sets, when they select multiple skills from the filter options, then the mentor list must reflect only those mentors who possess at least one of the selected skill sets.

User needs confirmation on the number of available mentors after applying their filters.

Given the user has selected several filtering options, when the mentor list refreshes, then the total number of available mentors matching those filters should be displayed at the top of the mentor list.

User accesses the Mentor Profiles feature on a mobile device to use dynamic filters.

Given the user is on the Mentor Profiles page using a mobile device, when they access the dynamic filtering options, then the filters must be fully functional and usable on the mobile interface.

Mentor Background Showcase

"As a user, I want to view detailed mentor profiles that display their skills and experience so that I can choose a mentor that aligns with my career aspirations."

Description

The Mentor Background Showcase feature provides comprehensive profiles of each mentor, displaying their qualifications, career history, skills, and testimonials. This transparency allows users to assess the suitability of a mentor and understand their background before making a connection. By presenting this information clearly and engagingly, the Mentor Background Showcase will help build trust between users and mentors, leading to more meaningful and effective mentorships.

Acceptance Criteria

User selects a mentor based on their specific background and skills to align with their career goals.

Given a user is on the Mentor Profiles page, when they use the filter options for industry expertise, availability, and mentorship style, then they should see a list of mentors that match their selected criteria.

User views the detailed background of a selected mentor before initiating a mentorship connection.

Given a user selects a mentor from the filtered list, when they click on the mentor's profile, then they should see the mentor's qualifications, career history, skills, and testimonials displayed clearly and engagingly.

User attempts to assess multiple mentors to determine which one is best suited for their needs.

Given a user is viewing mentor profiles, when they select multiple mentors to compare, then they should be able to view a side-by-side comparison of each mentor's qualifications, skills, and testimonials.

Mentors update their profiles to reflect new skills and experiences.

Given a mentor is logged into their profile, when they update their qualifications and experience, then the changes should be reflected in the Mentor Background Showcase within 24 hours.

User sees feedback and ratings from past mentees for the mentors they are considering.

Given a user is on a mentor's profile, when they scroll down the page, then they should see a section displaying average ratings and written testimonials from previous mentees.

User is searching for mentors with specific skills relevant to their professional growth.

Given a user uses the search functionality on the Mentor Profiles page, when they enter specific skills, then they should see a list of mentors who possess those skills prominently featured in their profiles.

Admin oversees the content presented in mentor profiles to ensure accuracy and relevance.

Given an admin accesses the mentor management dashboard, when they review mentor profiles, then they should be able to edit or remove any outdated or incorrect information directly.

Real-Time Availability Calendar

"As a user, I want to see when mentors are available for meetings so that I can schedule sessions without hassle and ensure I can connect when they are free."

Description

The Real-Time Availability Calendar feature integrates with mentors' schedules to show their current availability for mentorship sessions. Users can view this calendar directly within the mentor profiles and request meetings based on available slots. This functionality streamlines the process of scheduling mentorship sessions, reduces back-and-forth communication, and enhances the overall user experience by making the connection process straightforward and user-friendly.

Acceptance Criteria

Mentor Availability Viewing and Selection Process

Given a user is viewing a mentor profile, when they check the Real-Time Availability Calendar, then they should see the available time slots for that mentor displayed accurately in real-time.

Meeting Request Submission Based on Availability

Given a user has selected an available time slot in the Real-Time Availability Calendar, when they submit a meeting request, then they should receive a confirmation message indicating the request has been sent to the mentor.

Displaying Mentor Unavailability

Given a mentor has marked a time slot as unavailable in their calendar, when a user views the Real-Time Availability Calendar, then that time slot should not be displayed as available to the user.

Real-Time Calendar Sync with Mentor Schedule

Given a mentor updates their schedule, when the user refreshes the Real-Time Availability Calendar, then the new availability should reflect accurately, within a minimum refresh time of 5 seconds.

Notification of Meeting Confirmation or Cancellation

Given a user has requested a meeting with a mentor, when the mentor confirms or cancels the meeting, then the user should receive an immediate notification of this change via their preferred communication method.

Accessing the Calendar from Multiple Devices

Given a user accesses the mentor profile from a mobile device or desktop, when they view the Real-Time Availability Calendar, then it should display the same accurately updated availability regardless of the device used.

User Ratings and Reviews System

"As a user, I want to read reviews from other users about their experiences with mentors so that I can choose a mentor who is highly rated and meets my expectations."

Description

The User Ratings and Reviews System allows users to leave feedback about their experiences with mentors. This feature provides prospective mentees insight into the effectiveness of each mentor based on previous users' experiences. By implementing a robust ratings system, users can make informed decisions when selecting a mentor, and mentors can gain valuable feedback to improve their mentorship style and effectiveness.

Acceptance Criteria

User submits a rating and review for a mentor after completing a mentorship session.

Given that the user has completed a session with a mentor, When the user navigates to the mentor's profile and selects 'Leave a Review', Then the system allows the user to submit a rating from 1 to 5 and provide a written review that meets the character limit requirements.

User views mentor profiles with aggregated ratings and reviews.

Given that the user is on the mentor profiles page, When the user filters mentors by rating or availability, Then the system displays the mentor list with their respective average ratings and a snippet of their latest reviews.

Mentors receive notifications for new reviews submitted by users.

Given that a user submits a new review for a mentor, When the review has been successfully saved in the system, Then the system sends a notification to the mentor indicating that they have received a new review.

User attempts to submit a review without a rating or feedback.

Given that the user is on the review submission form, When the user tries to submit the form without providing a rating or text, Then the system displays an error message prompting the user to provide both a rating and review content.

Users can edit or delete their submitted reviews.

Given that the user has submitted a review, When the user navigates to their submitted reviews and selects the option to edit or delete, Then the system allows the user to modify or remove the review while confirming the action if deleting.

Mentors can respond to user reviews.

Given that a mentor has received a review, When the mentor navigates to their profile and selects the review, Then the system allows the mentor to submit a response that will be displayed below the user's review.

Mentorship Session Insights

"As a user, I want to receive feedback and insights after my mentorship sessions so that I can track my progress and improve future interactions."

Description

The Mentorship Session Insights feature provides users with analytics and insights after their mentorship sessions. This includes a summary of discussed topics, progress tracking related to their goals, and recommendations for future sessions. By offering this feedback, users can effectively measure their growth and ensure that their mentoring relationships remain productive and focused on their career goals.

Acceptance Criteria

User receives session analytics after a mentorship session ends.

Given a user has completed a mentorship session, when they access the 'Mentorship Insights' section, then they should see a summary of the discussed topics, progress towards goals, and recommendations for future sessions available within 2 minutes of session completion.

User can view a summary of their mentorship session.

Given a user had a mentorship session, when they navigate to the session summary, then they should be able to see details including the topics discussed and key takeaways displayed in a clear and organized format that is accessible on both mobile and web applications.

User can track their progress related to mentorship goals over time.

Given a user has set specific mentorship goals, when they view their progress tracking feature, then they should see a visual representation of their progress (e.g., charts or graphs) and a list of completed action items corresponding to their goals over the last month.

Mentors receive feedback from their mentees about the session.

Given a mentorship session is completed, when the mentee submits feedback, then the mentor should receive a notification along with the feedback ratings and comments to understand areas of strength or improvement in their mentoring approach, within 24 hours of submission.

User receives follow-up recommendations for future sessions based on insights.

Given a user has accessed their mentorship insights, when they view the recommendations, then they should see at least three tailored suggestions for future topics or actions based on their past session discussions and stated career goals, with overall guidance tailored to their progress.

User and mentor can revisit past session summaries.

Given a user and mentor have previously completed mentorship sessions, when they search for past sessions, then they should be able to retrieve and view summaries of all previous sessions filtered by date or topic discussed without issues, ensuring all past information is stored correctly and is easily navigable.

User experiences a user-friendly interface when accessing insights.

Given a user accesses the Mentorship Session Insights feature, when they interact with the interface, then they should find it intuitive and easy to navigate, with all key insights visible within three clicks, ensuring a seamless user experience.

Smart Matchmaking Algorithm

The Smart Matchmaking Algorithm utilizes advanced AI technology to intelligently pair users with mentors who best meet their needs and preferences. By analyzing user inputs such as career goals, skills, and interests, this feature ensures optimal matches that enhance the likelihood of successful mentorship relationships, streamlining the connection process significantly.

Requirements

User Input Collection

"As a user, I want to easily input my career goals and skills so that the Smart Matchmaking Algorithm can find the most suitable mentor for my professional development."

Description

The User Input Collection requirement involves designing an intuitive interface that allows users to easily provide information about their career goals, skills, and interests. This interface serves as a foundational element for the Smart Matchmaking Algorithm, ensuring that the algorithm has access to accurate and comprehensive data needed for effective mentor matching. By simplifying the input process, users are more likely to engage thoroughly, providing detailed insights that enhance matching quality and accuracy. The goal is to create a seamless experience that encourages user participation, ultimately leading to better mentor-mentee connections and successful outcomes in professional growth.

Acceptance Criteria

User enters career goals, skills, and interests in the interface

Given the user accesses the User Input Collection interface, when they enter their career goals, skills, and interests and click submit, then the system should save the information without errors and acknowledge the submission with a confirmation message.

User submits incomplete information in the input form

Given the user enters incomplete information in the User Input Collection interface, when they attempt to submit the form, then the system should display an error message indicating which fields are required before submission can be completed.

User updates their career goals in the interface

Given the user has previously submitted their career goals, when they access the User Input Collection interface to update their information and submit the changes, then the system should overwrite the previous data with the new information and provide a confirmation message.

User interacts with the input collection interface for the first time

Given the user has not interacted with the User Input Collection interface before, when they access the interface, then it should display a user-friendly onboarding guide that explains how to fill in their career goals, skills, and interests effectively.

User cancels their input during the collection process

Given the user starts entering information in the User Input Collection interface, when they decide to cancel their submission, then the system should discard all entered information and return the user to the main screen without saving any changes.

User needs assistance filling out the input form

Given the user encounters difficulty in completing the User Input Collection interface, when they click on the help icon, then a contextual help window should open with tips and examples to assist them in providing accurate information.

Algorithm Optimization

"As a product manager, I want the Smart Matchmaking Algorithm to optimize over time so that users receive the best possible mentor matches based on their evolving needs."

Description

The Algorithm Optimization requirement focuses on enhancing the performance and accuracy of the Smart Matchmaking Algorithm through iterative testing and refinement. This involves analyzing existing data from previous matches to identify patterns and areas for improvement. The optimization process will include developing new algorithms or modifying existing ones to increase the relevancy of mentor matches based on diverse user inputs and outcomes. By ensuring that the algorithm continuously learns and adapts to user needs and preferences, SkillBlink can provide increasingly accurate and effective mentorship pairings, thereby improving user satisfaction and engagement with the platform.

Acceptance Criteria

User inputs career goals, skills, and interests into SkillBlink and initiates a mentorship search.

Given a user has entered their career goals, skills, and interests, when they initiate a mentorship search, then the algorithm should return at least three potential mentors ranked by relevance to the user's profile.

The user engages with suggested mentors over a predetermined period of mentorship.

Given a user has engaged with a selected mentor for at least one month, when the mentorship engagement is evaluated, then at least 80% of users should report satisfaction with the mentor match based on a follow-up survey.

The system collects feedback from users after mentorship matches have taken place.

Given that users complete a mentorship program, when feedback is collected, then the algorithm should demonstrate at least a 10% improvement in match accuracy based on feedback data over the previous matching cycles.

The algorithm processes historical match data to identify patterns of successful mentorship.

Given historical mentorship match data, when the algorithm analyzes this data, then it should identify at least three key factors that correlate with successful matches with an accuracy of at least 75%.

Users can view and filter potential mentors based on various criteria such as industry or skills.

Given the user is on the mentor search page, when they apply filters for industry and skills, then the system should return only those mentors that meet all selected filter criteria with 100% accuracy.

The algorithm is tested with a diverse user base to ensure fair matchmaking.

Given a diverse group of users, when the matchmaking algorithm is tested, then it should demonstrate no bias in mentor matches across different demographic groups, achieving a balanced distribution within mentor recommendations.

The system adapts to user behavior by refining recommendations over time.

Given that a user consistently interacts with their mentor and provides feedback, when analyzing user engagement over three months, then there should be a noticeable increase in the relevance of matched mentors in subsequent searches by at least 15%.

Feedback Mechanism

"As a user, I want to provide feedback on my mentorship experience so that SkillBlink can improve mentor matching for others in the future."

Description

The Feedback Mechanism requirement involves implementing a feature that allows users to provide feedback on their mentorship experience after being matched. This could include ratings, comments, and suggestions that inform future improvements to the matching algorithm and user experience. By incorporating user feedback into the Smart Matchmaking Algorithm, SkillBlink can refine its matchmaking criteria and algorithms based on actual user experiences, promoting higher success rates in mentorship relationships. This requirement is essential for fostering an environment of continuous improvement and ensuring that the platform remains responsive to user needs.

Acceptance Criteria

User successfully provides feedback after a mentorship session.

Given a user is matched with a mentor, when the mentorship session ends, then the user should be prompted to submit feedback, including a rating between 1 and 5 stars and optional comments.

Feedback is stored and associated with the relevant mentor and user profile.

Given feedback is submitted by a user, when the feedback is recorded, then it should be linked to both the user and the mentor's profile in the database.

Users have the option to edit their feedback within a certain timeframe post-submission.

Given a user has submitted feedback, when the user accesses their feedback within 24 hours after submission, then they should be able to edit their feedback.

Users receive a confirmation notification after submitting their feedback.

Given a user submits their feedback, when the feedback submission is successful, then the user should receive an on-screen confirmation message.

Users can view previous feedback submissions in their profile.

Given a user has submitted feedback in the past, when the user accesses their feedback history, then they should be able to see all previous feedback submissions listed by date.

The system analyzes feedback to improve the matchmaking algorithm.

Given that feedback has been collected, when the feedback analysis process runs, then it should generate a report highlighting trends and suggestions for improving the Smart Matchmaking Algorithm based on user feedback.

Feedback can be flagged for inappropriate content.

Given a user submits feedback, when the feedback includes inappropriate language or content, then it should be flagged for review by the moderation team.

Mentor Profile Creation

"As a mentor, I want to create a detailed profile so that potential mentees can understand my skills and mentoring style, leading to better matches and fruitful relationships."

Description

The Mentor Profile Creation requirement entails developing a feature that allows mentors to create detailed profiles showcasing their expertise, experience, and mentoring philosophy. This information will be used by the Smart Matchmaking Algorithm to enhance the matching process by aligning mentor qualifications and styles with user needs. A comprehensive mentor profile will enable users to make informed decisions about their mentoring choices. This feature not only improves mentorship match quality but also encourages mentors to engage with the platform by presenting their credentials in a structured format, promoting a higher level of trust and interaction.

Acceptance Criteria

Mentors create their profiles on the SkillBlink platform, filling in fields such as name, area of expertise, experience, and mentoring philosophy before saving their profiles.

Given a mentor is on the profile creation page, when they enter all required fields (name, expertise, experience, philosophy) and click 'Save', then their profile should be created and a confirmation message displayed.

A user browsing the mentor database seeks to filter mentors based on specific criteria such as expertise and experience level.

Given a user is viewing the mentor listing, when they apply filters for expertise and years of experience, then the displayed list should only include mentors that match the applied criteria.

A mentor wants to update their profile information to reflect new certifications and experiences.

Given a mentor is logged in and views their profile, when they update their fields (such as adding a new certification) and click 'Update', then the changes should save successfully and reflect the most current information upon reloading the profile.

A new mentor signs up and completes their profile to maximize visibility to potential mentees.

Given a new mentor has filled out their profile with all mandatory fields, when they submit their profile for approval, then it should be saved and listed for user matchmaking after passing a validation process.

The Smart Matchmaking Algorithm evaluates mentor profiles to pair them with users based on shared interests and goals.

Given a user has completed their skill assessment, when the Smart Matchmaking Algorithm runs, then it should return a list of mentors whose profiles suggest a high alignment with the user’s provided career goals and preferences.

Mentors view their profile statistics to understand how often they are being matched with users.

Given a mentor is logged into their account, when they navigate to the statistics page, then they should see their profile views, number of matches, and feedback ratings from users.

A mentor wants to enhance their profile appeal by uploading a professional photo and a video introduction.

Given a mentor is on their profile edit page, when they upload a photo and video introduction, then the media files should be displayed properly on their profile without issues once saved.

Real-time Match Notifications

"As a user, I want to receive real-time notifications when a mentor is matched with me so that I can connect with them as soon as possible for my career development."

Description

The Real-time Match Notifications requirement focuses on implementing a notification system that alerts users when a suitable mentor has been matched with them. This system should offer immediate updates via email, SMS, or app notifications, prompting users to engage with their mentors promptly. By providing real-time updates, users will be more likely to capitalize on the opportunity for mentorship while the experience is fresh, thereby improving connection rates and fostering timely interactions. This feature enhances user engagement and responsiveness, significantly benefiting the mentorship experience.

Acceptance Criteria

User receives a notification about a matched mentor immediately after the Smart Matchmaking Algorithm identifies a suitable pairing based on their profile inputs.

Given the user has completed their profile and the Smart Matchmaking Algorithm has processed potential mentors, when a suitable mentor is matched, then the user should receive a notification via selected preferences (email, SMS, or app) within 5 minutes of the match being made.

User receives an SMS notification regarding a mentor match while navigating the mobile app.

Given the user has opted to receive SMS notifications and is currently using the SkillBlink mobile app, when a mentor match occurs, then the user should receive a clear SMS alert that includes the mentor's name and a prompt to view their profile within 2 minutes of the match.

A user who has not interacted with their matched mentor receives a reminder notification after 24 hours of the match being made.

Given a user has received a mentor match notification but has not engaged with their mentor within 24 hours, when 24 hours elapse, then the system should send a reminder notification to the user via their chosen communication method encouraging them to connect with their mentor.

User preferences for notification methods are correctly applied during mentor matching.

Given a user has specified their preferred methods of notification (email, SMS, or app notification), when a suitable mentor is matched, then the notification should be sent using only the selected methods, ensuring no unwanted notifications are sent.

User receives an email notification with detailed mentor information immediately after a match.

Given the user has opted for email notifications, when a suitable mentor is matched, then the user should receive an email containing relevant details about the mentor, such as their skills and availability, within 5 minutes of the match being made.

User can customize their notification settings and preferences in the app.

Given a user is logged into their SkillBlink account, when they access the notification settings, then they should be able to customize how they receive notifications (email, SMS, or app) with options clearly presented and the ability to save changes.

Mentors should also receive notifications about their matched mentees to initiate the connection process.

Given a mentor has been matched with a mentee, when the match is made, then the mentor should receive a notification that includes the mentee's name and a prompt to connect, within 5 minutes of the match being established.

Mentorship Progress Tracker

The Mentorship Progress Tracker enables users to monitor their interactions and progress with their mentors through a dedicated dashboard. This feature helps users set objectives, track milestones, and revisit sessions, increasing accountability and providing a structured approach to mentorship that maximizes the potential for growth and development.

Requirements

Interactive Dashboard

"As a mentee, I want to access an interactive dashboard that displays my mentorship sessions and progress, so that I can easily track my development and stay accountable to my goals."

Description

The Interactive Dashboard provides a centralized interface for users to view their mentorship interactions, including a summary of sessions, objectives, and milestones. This dashboard integrates with the main SkillBlink platform to offer real-time updates and insights, allowing users to easily navigate their mentorship journey. It enhances user engagement by presenting information in an accessible and visually appealing format, thereby facilitating better tracking of progress and accountability in the mentorship process.

Acceptance Criteria

User views their mentorship dashboard upon logging into SkillBlink.

Given the user is logged into SkillBlink, When they navigate to the Mentorship Progress Tracker, Then they should see a dashboard displaying all mentorship interactions including session summaries, objectives, and milestones.

User sets a new objective for their mentorship progress through the dashboard.

Given the user is on the Mentorship Progress Tracker dashboard, When they click on the 'Set Objective' button and input a new objective, Then the dashboard should update to show the new objective along with the correct timestamp and any associated milestones.

User tracks milestones related to their mentorship objectives.

Given the user has set specific milestones for their objectives, When they view the mentorship dashboard, Then they should see all milestones listed clearly with checkboxes indicating which ones are completed and which are pending.

User revisits past mentorship sessions to review notes and feedback.

Given the user is on the Mentorship Progress Tracker dashboard, When they click on a past session from the list, Then they should be able to view detailed notes and feedback associated with that session, organized by date.

User receives reminders for upcoming mentorship sessions based on their dashboard settings.

Given the user has configured session reminders in the dashboard settings, When the scheduled session time approaches, Then the user should receive a notification both in-app and via email reminding them of the session.

Mentors can view the progress of their mentees through the interactive dashboard.

Given the mentor is logged into SkillBlink, When they access the Mentorship Progress Tracker for their mentee, Then they should be able to see all the mentee's objectives, milestones, and session summaries in a clear format.

User customizes the layout of their mentorship dashboard for better accessibility.

Given the user is on the mentorship dashboard, When they click on the 'Customize Layout' option and adjust their preferences, Then the dashboard layout should change immediately to reflect those preferences without requiring a page refresh.

Goal Setting Feature

"As a mentee, I want to set and manage goals for my mentorship, so that I can clearly define what I aim to achieve and track my progress toward these objectives."

Description

The Goal Setting Feature allows users to define specific, measurable objectives for their mentorship journey. Users can create short-term and long-term goals, with the ability to edit these goals as necessary. This feature is integrated with the mentorship tracking system, which enables users to monitor their progress against these goals, thereby enhancing focus and motivation throughout the mentoring process.

Acceptance Criteria

Mentor and mentee set specific goals during their first session together.

Given a mentor and a mentee have agreed to use the Goal Setting Feature, when the mentee enters their objectives, then they should be able to select whether each goal is short-term or long-term and assign a measurable deadline to each goal.

User edits an existing goal within the Goal Setting Feature.

Given a user has defined at least one goal, when they access the Goal Setting Feature, then they should be able to edit any of their goals, including changing the title, deadline, and type (short-term/long-term) without losing any previously tracked progress.

User tracks their progress against goals in the mentoring dashboard.

Given a user has set specific goals, when they view the Mentorship Progress Tracker, then they should see a visual representation of their progress towards each goal, including completed milestones and remaining tasks, updated in real-time.

User receives notifications for goal deadlines and progress check-ins.

Given a user has set goals with deadlines, when the deadline is approaching, then the user should receive notifications reminding them of the upcoming due date, as well as prompts for scheduled progress check-ins with their mentor.

User deletes a goal they no longer wish to track.

Given a user has set multiple goals, when they select a goal to delete, then the system should confirm the deletion and remove the goal from their dashboard, ensuring no residual data is left behind.

Mentor reviews mentee's goals during a session and provides feedback.

Given a mentee and mentor are in a session, when the mentor accesses the mentee's goals through the Mentorship Progress Tracker, then they should be able to view and provide feedback on each goal directly within the system.

User customizes goal templates for future use.

Given a user frequently sets similar goals, when they access the Goal Setting Feature, then they should have the option to create and save goal templates for quick setup in future mentorship sessions.

Session Recap Tool

"As a mentee, I want to create a recap of each mentorship session, so that I can remember key takeaways and ensure I follow up on agreed action points effectively."

Description

The Session Recap Tool allows users to summarize their mentorship sessions, capturing key points, insights, and action items discussed during meetings. This tool will integrate with the Mentorship Progress Tracker to ensure important information is easily retrievable for future reference. By using this tool, users can enhance their learning experience and hold themselves accountable for follow-up actions stemming from each session.

Acceptance Criteria

Session Recap Tool Usage After Each Mentorship Meeting

Given a user has completed a mentorship session, when they access the Session Recap Tool, then they should be able to create a summary that includes key points, insights, and action items discussed during the meeting, which is automatically saved to the Mentorship Progress Tracker.

Integration with Mentorship Progress Tracker

Given the user has saved a session recap, when they view the Mentorship Progress Tracker, then the summary should be displayed alongside the respective session entry, allowing easy retrieval and reference.

Accessibility of Recaps for Follow-Up

Given a user has a session recap saved, when they navigate to their mentorship dashboard, then they should have the option to filter and search for specific recaps based on mentorship goals or dates.

Notifications for Pending Action Items

Given a user has created action items from a session recap, when the due date for any action item approaches, then the user should receive a notification prompting them to follow up on the item, ensuring accountability.

User Feedback on the Session Recap Tool

Given that the Session Recap Tool has been utilized, when a user submits feedback through a survey, then at least 80% of users should report that the tool helped them clarify key discussions and improve accountability.

Collaboration Feature for Sharing Recaps with Mentors

Given a user has completed a session recap, when they choose to share the recap with their mentor, then the mentor should receive a notification and have access to view the recap on their dashboard.

Performance Metrics for Recap Usage

Given the implementation of the Session Recap Tool, when analyzing user engagement data, then at least 70% of users should be completing and saving recaps for their mentorship sessions within the first month of use.

Milestone Tracking

"As a mentee, I want to see my progress through visual milestones, so that I can stay motivated and understand how far I’ve come in my mentorship journey."

Description

The Milestone Tracking feature enables users to set specific milestones within their mentorship journey, which serve as checkpoints for measuring progress. Users can visualize their journey through a progress bar or timeline that highlights completed milestones and upcoming goals. This feature not only enhances motivation by celebrating achievements but also provides a structured approach to managing their development over time.

Acceptance Criteria

Users create a new milestone in their mentorship journey.

Given a user is logged into the Mentorship Progress Tracker, when they click 'Add Milestone', then a form should open allowing them to enter milestone details, and upon submission, the milestone is added to their progress tracker and visible on the dashboard.

Users visualize their completed and upcoming milestones.

Given a user has set at least one milestone, when they view their progress dashboard, then they should see a progress bar or timeline that accurately reflects the completed milestones and clearly indicates upcoming goals.

Users receive notifications for milestone deadlines approaching.

Given a user has set a milestone with a deadline, when the deadline is within 3 days, then the user should receive an automatic notification reminding them of the upcoming milestone deadline.

Users edit an existing milestone in their mentorship journey.

Given a user has at least one milestone, when they select a milestone to edit, then they should be able to modify the milestone details and save the changes, which will be reflected in their progress tracker immediately.

Users track their overall progress in mentoring.

Given a user has multiple milestones set, when they view their progress, then they should see a percentage indicator reflecting the completion status of all milestones combined.

Users celebrate milestone achievements.

Given a user completes a milestone, when they mark it as complete, then the system should trigger a celebratory message and highlight the achievement on the dashboard for the user to see immediately.

Users revisit past mentorship sessions related to a milestone.

Given a user has completed several mentorship sessions, when they select a completed milestone, then they should be able to access and review notes or feedback from related past mentorship sessions.

Mentor Feedback Integration

"As a mentee, I want to receive feedback from my mentor after each session, so that I can learn from their insights and improve my skills effectively."

Description

The Mentor Feedback Integration allows mentors to provide structured feedback on their mentees' performance and progress. This feature facilitates a secure area where mentors can leave comments, ratings, and constructive criticism after each session. This feedback becomes part of the mentee’s progress data, fostering a continuous learning loop and driving further development based on mentor insights.

Acceptance Criteria

Integration of Mentor Feedback into Mentee Dashboard

Given a mentor has completed a feedback session when they submit feedback then it should be reflected in the mentee's dashboard within 5 minutes.

Mentor Comment Structure and Requirements

Given a mentor is providing feedback when they enter comments then the feedback must include at least one positive and one constructive comment, along with a 1-5 rating scale.

Secure Feedback Submission Process

Given a mentor is logged into the system when they submit their feedback then the feedback must be stored securely and only accessible to the mentee and the mentor.

Mentee Notification of New Feedback

Given a mentor has submitted feedback when the feedback is processed then the mentee should receive a notification in their dashboard and via email within 10 minutes.

Historical Feedback Access

Given a mentee is viewing their dashboard when selecting a past session then they should be able to view all feedback provided by their mentor for that session.

Feedback Impact on Progress Tracking

Given a mentee has received feedback when they review their progress tracker then it should reflect adjustments made based on mentor feedback in the next progress report.

Notifications and Reminders

"As a mentee, I want to receive notifications and reminders for my mentorship sessions and deadlines, so that I can be prepared and organized in my approach to development."

Description

The Notifications and Reminders feature ensures users stay informed about upcoming mentorship sessions and important deadlines related to their goals and milestones. This feature sends automated alerts through various channels (email, SMS, in-app notifications) to remind users of their commitments, facilitating better time management and encouraging users to stay engaged in their mentorship activities.

Acceptance Criteria

User receives timely notifications for their upcoming mentorship sessions and related deadlines, ensuring they are prepared and engaged.

Given a user has scheduled a mentorship session, When the session is 24 hours away, Then the user should receive an email notification reminding them of the session.

User can customize the frequency and method of notifications for their mentorship related activities to suit their preferences.

Given a user accesses the notification settings, When they select 'Weekly' for reminders, Then the system should send notifications every week leading up to their mentorship session.

Users receive reminders for significant milestones in their mentorship journey to ensure they stay focused on their goals.

Given a user has set a milestone date, When the date is 7 days away, Then the user should receive an SMS notification reminding them of the upcoming milestone.

All notifications and reminders are accurately logged in the user's activity history for future reference.

Given a user has received notifications, When they check their activity history, Then all notifications should be listed with timestamps and types of notifications received.

Users can easily access past notifications for review and planning purposes.

Given a user accesses the notifications section of the app, When they select 'View Past Notifications', Then the system should display all past notifications with dates and details.

The system should prevent duplicate notifications for the same event to avoid user frustration.

Given a user has already received a notification for a session, When the same session is approaching again, Then the system should not send another reminder.

Users can opt-out of notifications if they choose to do so to enhance user control over their experience.

Given a user accesses notification preferences, When they select the 'Opt-Out' option, Then the system should completely disable notifications for all mentorship sessions and milestones.

Feedback & Rating System

The Feedback & Rating System allows users to provide insights and ratings on their mentorship experiences, contributing to a community-driven improvement mechanism. This feature empowers users to choose mentors based on collective feedback, ensuring a higher quality of mentorship across the platform and enabling continuous enhancement of mentor offerings.

Requirements

Mentor Feedback Submission

"As a user, I want to be able to submit feedback on my mentor to help other users make informed decisions about their mentorship choices, so that I can contribute to improving the overall quality of mentorship on the platform."

Description

The Mentor Feedback Submission requirement allows users to input reviews and ratings for their mentorship experiences directly through the platform. This functionality includes an intuitive form for entering qualitative comments and quantitative ratings (e.g., 1-5 stars) regarding their mentor’s performance. The collected feedback will be stored in a secure database, which can then be aggregated to enhance mentor profiles with ratings and testimonials. This feature is essential for ensuring a transparent feedback loop that drives continuous improvement in mentorship quality, providing valuable insights to both mentors and users in their selection processes.

Acceptance Criteria

User submits feedback for a mentor after completing a mentorship session.

Given the user has completed a mentorship session, when they navigate to the feedback submission form and enter a rating between 1 to 5 stars and a comment, then the feedback should be successfully submitted and stored in the database.

User tries to submit feedback without entering a comment.

Given that the user has selected a rating but left the comment field empty, when they attempt to submit the feedback, then an error message should appear indicating that the comment field cannot be empty.

User views the feedback summary for a specific mentor.

Given that the user selects a mentor's profile, when they view the feedback section, then they should see the aggregated ratings and comments from multiple users displayed clearly and accurately.

Admin reviews feedback submissions to ensure appropriateness and compliance.

Given that the admin accesses the feedback management dashboard, when they review the feedback submissions, then they should be able to see all responses and flag any inappropriate content that violates the community guidelines.

User provides feedback on a mentor's responsiveness as part of their review.

Given the user has completed a mentorship session, when they enter a rating for responsiveness along with their overall rating, then the system should correctly associate the feedback with the mentor's profile and display it in a dedicated responsiveness metric.

User receives a confirmation after submitting feedback.

Given that the user has successfully submitted their feedback, when they see the confirmation message, then they should also receive an email notification confirming their feedback was received and is being processed.

User edits their feedback submission after initial submission.

Given that the user wants to edit their previously submitted feedback, when they navigate to their feedback history and select the feedback entry, then they should be able to modify both the rating and the comment, and save the changes successfully.

Rating Aggregation Algorithm

"As a user, I want the platform to calculate an average rating for each mentor based on user feedback, so that I can quickly identify highly-rated mentors to enhance my mentorship experience."

Description

The Rating Aggregation Algorithm requirement establishes a systematic methodology for processing and calculating overall mentor ratings based on individual user feedback. This algorithm should consider factors such as the number of ratings, weightage of ratings (e.g., more recent ratings may carry more weight), and possibly average ratings along with standard deviation to understand rating reliability. It will produce a single, representative score for each mentor, which will be updated in real-time as new feedback is submitted. This feature is vital to ensuring an accurate and fair representation of a mentor's performance, assisting users in selecting the best mentors.

Acceptance Criteria

Rating Aggregation for a Mentor with Multiple Ratings

Given a mentor with multiple ratings submitted by users, When the rating aggregation algorithm is executed, Then it should calculate an overall rating that considers the number of ratings, the recency of ratings, and weightage, producing an accurate representative score.

Real-Time Rating Update upon New Feedback Submission

Given that a user submits new feedback for a mentor, When the feedback is submitted, Then the rating aggregation algorithm should update the mentor's overall score in real-time, reflecting the latest ratings instantly.

Handling Diverse Rating Weightages

Given a mentor has received ratings of varying weightages based on recency, When calculating the overall rating, Then the algorithm should appropriately apply the defined weightage process to each rating before producing the final score.

Standard Deviation Calculation for Rating Reliability

Given a mentor has multiple ratings, When the rating aggregation algorithm processes the ratings, Then it should also calculate and return the standard deviation of the ratings, indicating the reliability and consistency of the mentor's performance.

Display Aggregated Ratings in User Interface

Given a mentor's aggregated rating is calculated and available, When a user views a mentor's profile, Then the mentor's overall score, individual rating breakdown, and reliability metrics should be displayed clearly and accurately.

Quality Check for Rating Calculation Process

Given the implementation of the rating aggregation algorithm, When the algorithm processes a predefined set of ratings, Then it should produce a calculated score that matches expected outcomes, ensuring no errors in the aggregation logic.

Mentor Performance Dashboard

"As a mentor, I want to access a dashboard that displays my performance metrics based on user feedback, so that I can evaluate my mentoring effectiveness and work on areas in need of improvement."

Description

The Mentor Performance Dashboard requirement is designed to create a user-friendly interface where mentors can view their performance metrics, including feedback ratings, total feedback count, and comments over time. This dashboard will feature visual graphs and trends to help mentors understand user satisfaction and identify areas for improvement. It is crucial for fostering self-assessment and development for mentors, allowing them to adjust their mentorship style based on user experiences and enhance the effectiveness of their mentoring efforts.

Acceptance Criteria

Mentor accesses their performance dashboard for the first time after completion of the feature integration.

Given the mentor has logged in to their account, when they navigate to the 'Performance Dashboard' section, then they should see a visually appealing interface displaying their feedback ratings, total feedback count, and comments.

As a mentor reviewing their performance metrics, they need to see their feedback ratings averaged over the last three months.

Given the mentor is viewing their performance dashboard, when they look at the feedback ratings, then they should see an average rating calculated for the last three months along with itemized ratings for each month.

A mentor wants to analyze trends in their feedback over time to identify areas for improvement.

Given the mentor is accessing their performance dashboard, when they scroll down to the trends section, then they should see visual graphs depicting feedback ratings and comments over time, with clear labels for each data point.

Mentor receives a notification of new feedback after a mentoring session.

Given the mentor has completed a mentoring session, when they check their dashboard, then they should see an updated total feedback count and a summary of the feedback received after the session.

Mentor is interested in comparing their performance with average mentor ratings on the platform.

Given the mentor is on their performance dashboard, when they look for comparative metrics, then they should see a section that shows how their average rating compares against the average ratings of all mentors on the platform.

A mentor wishes to gather insights from feedback comments to enhance their mentorship strategies.

Given the mentor views the comments section of their performance dashboard, when they read the comments provided by users, then the comments should be displayed in a clear format that facilitates easy reading and understanding.

Mentor wants to download their performance metrics report for external review.

Given the mentor is on the performance dashboard, when they click the 'Download Report' button, then a report in PDF format containing their performance metrics should be generated and downloaded successfully.

Feedback Reporting System

"As an administrator, I want to generate reports on mentor feedback and ratings to analyze trends and identify areas where mentors may need additional support or training, so that we can ensure continuous improvement in mentorship quality."

Description

The Feedback Reporting System requirement provides an analytical summary of all submitted mentor feedback and ratings. This comprehensive reporting tool will allow administrators to view trends, average ratings, and overall feedback quality in order to maintain high standards across the mentorship program. The report will include filters for time periods, rating breakdowns, and user demographics, assisting in understanding user engagement and mentor effectiveness. This feature is essential for ensuring that the mentorship program evolves based on real user insights and data-driven decisions.

Acceptance Criteria

Admin views the Feedback Reporting System to analyze mentorship trends over a specific quarter.

Given the admin selects a quarter from the date filter, When they generate the report, Then the report displays average ratings and feedback comments for that quarter accurately.

User filters feedback report by user demographics to assess mentor effectiveness based on specific user groups.

Given a range of demographics can be selected, When the admin applies demographic filters, Then the report updates to reflect data only from the selected user demographics, showing trends and averages accordingly.

An admin reviews mentor feedback ratings to identify mentors needing improvement.

Given the feedback report includes mentor ratings, When the admin sorts mentors by their average rating, Then they can view mentors with ratings below a designated threshold clearly highlighted for assessment.

An admin generates a feedback report to view the distribution of ratings for a specific mentor.

Given the admin selects a mentor and generates the report, When the report is displayed, Then it shows a breakdown of all ratings received by that mentor, including the number of feedbacks per rating level.

Admin examines historical feedback data to see trends in user satisfaction over time.

Given there is a historical data filter available for reports, When the admin selects multiple time periods, Then the report reflects historical trends in average ratings and feedback comments, allowing comparison between periods.

User accesses the feedback reporting system to check the overall quality of mentorship activities on the platform.

Given the system has received at least 100 feedback submissions, When the user views the overall report, Then it displays key performance metrics including total feedback, average rating, and most recognized strengths and weaknesses in mentorship.

An admin decides to use feedback data to inform mentor training programs.

Given the feedback system highlights areas for improvement, When the admin identifies common weaknesses across mentors, Then they can recommend targeted training programs based on these insights to improve mentorship quality.

User Feedback Notifications

"As a user, I want to receive notifications about feedback changes related to my mentors, so that I can stay updated on how my feedback contributes to mentor improvement and quality assurance."

Description

The User Feedback Notifications requirement enables users to receive notifications about new feedback on mentors they have interacted with. This could include summaries of recent ratings, comments, or even improvements made by mentors as a result of user input. Notifications can be delivered through email or in-app messaging, depending on user preferences. This feature enhances user engagement by keeping them informed about their mentorship connections and promoting active participation in the feedback process.

Acceptance Criteria

User receives a notification about new feedback on a mentor they recently interacted with.

Given that the user has provided feedback on a mentor, when new feedback is added to that mentor’s profile, then the user should receive a notification via their selected method (email or in-app) within 24 hours of the feedback being posted.

User preferences for notification delivery are set correctly.

Given the user has access to notification settings, when the user selects their preferred method of notification (email or in-app), then the system should successfully update and save these preferences without error.

Notification content is relevant and informative for the user.

Given that a new feedback rating or comment is posted for a mentor the user has interacted with, when the user receives the notification, then the content of the notification should include a summary of the new feedback, including the rating and key comments.

User can disable feedback notifications.

Given that the user is in the notification settings area, when the user opts to disable feedback notifications, then all future notifications regarding feedback on mentors should not be sent until the user re-enables this option.

The system tracks which users have interacted with which mentors for feedback notifications.

Given that a user has interacted with a mentor and provided feedback, when new feedback is posted for that mentor, then the system should be able to identify all users who interacted with that mentor and send them appropriate notifications accordingly.

User receives a summary of improvements made by a mentor based on feedback provided.

Given that a mentor has received feedback that suggests improvements, when the mentor implements changes and the user who provided feedback has previously opted in for notifications, then the user should receive a notification detailing the improvements made by the mentor within one week of the changes being implemented.

Feedback notifications are timely and delivered without delays.

Given that feedback is posted for a mentor, when the notification is sent to the users, then it should be sent out within 24 hours of the feedback being posted and logs should confirm the time of notification sent.

Mentor Selection Filter

"As a user, I want to filter mentors based on ratings and feedback, so that I can efficiently find a mentor who meets my specific requirements and preferences."

Description

The Mentor Selection Filter requirement allows users to filter mentor search results based on various criteria, including average rating, number of feedback entries, expertise fields, and other relevant metrics. This will empower users to effectively narrow down their choices according to their needs and preferences, promoting a more personalized mentorship selection process. Implementing robust filtering options enhances the user experience by making it easier to find suitable mentors and ensuring a better match between users and mentors.

Acceptance Criteria

User wants to filter mentors based on their average rating to find the most highly rated mentors available for their needs.

Given the user is on the mentor search page, when the user selects a minimum average rating of 4 stars, then the system should display only those mentors who meet or exceed this rating.

User aims to filter mentors by the number of feedback entries to ensure they are selecting from a pool of experienced mentors.

Given the user is on the mentor search page, when the user selects a minimum of 20 feedback entries, then the system should show only those mentors who have received at least 20 feedback entries.

User wants to find mentors with expertise in a specific field to match their career development needs.

Given the user is on the mentor search page, when the user selects an expertise field from the dropdown, then the system should filter and display mentors who provide mentoring in that specific field.

User needs to filter mentors based on both average rating and number of feedback entries to find highly rated, well-reviewed mentors.

Given the user is on the mentor search page, when the user sets a minimum average rating of 4 stars and a minimum of 15 feedback entries, then the system should display mentors who meet both criteria.

User wishes to sort the mentor search results by the number of feedback entries to quickly identify the most validated mentors.

Given the user has applied filters on the mentor search page, when the user selects to sort results by 'Number of Feedback Entries', then the system should reorder the displayed mentors starting with those who have the highest feedback count.

User desires to clear all applied filters to begin a new search for mentors without any previous restrictions.

Given the user has applied various filters on the mentor search page, when the user clicks on the 'Clear Filters' button, then all filters should be reset, and the user should see all available mentors listed.

User wants to receive an error message if no mentors meet the selected filtering criteria.

Given the user is on the mentor search page, when the user applies filters that result in no available mentors, then the system should display an error message indicating 'No mentors found matching your criteria.'

Scheduled Sessions Hub

The Scheduled Sessions Hub provides an easy-to-use platform for users and mentors to schedule their meetings, incorporating calendar integration to ensure seamless coordination. This feature promotes consistent engagement between users and mentors, fostering stronger relationships and enhancing the overall mentorship experience.

Requirements

User Calendar Sync

"As a user, I want to sync my meetings with my personal calendar so that I can easily manage my time and avoid scheduling conflicts."

Description

The User Calendar Sync requirement facilitates seamless integration between the Scheduled Sessions Hub and users' personal calendars (e.g., Google Calendar, Outlook). This feature allows users to view, create, and manage their scheduled sessions directly from their preferred calendar application, enhancing usability and ensuring users never miss a meeting. By consolidating their schedules in one place, users can better manage their time and commitments, ultimately increasing their engagement with mentors and the overall platform. The integration promotes user satisfaction and maintains active participation in mentorship activities, directly aligning with SkillBlink’s goal of enhancing professional growth through consistent interaction.

Acceptance Criteria

User successfully syncs their Google Calendar with the SkillBlink Scheduled Sessions Hub.

Given a user has connected their Google Calendar in the settings, When the user views the Scheduled Sessions Hub, Then all scheduled sessions should appear in their Google Calendar automatically without errors.

User creates a new scheduled session within the SkillBlink platform.

Given the user has scheduled a session in the Scheduled Sessions Hub, When the session is saved, Then the session details should be reflected accurately in their personal calendar application like Google Calendar or Outlook within 5 minutes.

User modifies a scheduled session in the Scheduled Sessions Hub.

Given a user has an existing scheduled session, When the user changes the time or date of the session, Then the updated session details should be automatically reflected in their linked calendars.

User encounters an error during calendar sync.

Given a user has set up their calendar sync but encounters an error, When the user attempts to sync their calendar, Then a clear error message should be displayed, and the user should have the option to retry the sync.

User successfully unlinks their personal calendar from the Scheduled Sessions Hub.

Given a user is in the settings section of the Scheduled Sessions Hub, When the user selects the option to unlink their calendar, Then the calendar should be successfully unlinked and no longer show scheduled sessions in that calendar app.

User views upcoming sessions within the SkillBlink platform.

Given a user has scheduled sessions in their linked calendar, When the user accesses the Scheduled Sessions Hub, Then they should see a list of all upcoming sessions with their corresponding details (date, time, mentor) clearly listed.

User receives reminders for upcoming sessions synchronized from their calendar.

Given a user has scheduled sessions in the Scheduled Sessions Hub, When the next session is approaching, Then the user receives reminders via their chosen notification method (email or push notification) at least 30 minutes prior to the session start time.

Automated Reminder Notifications

"As a user, I want to receive reminders for my scheduled sessions so that I can prepare in advance and ensure I attend my meetings with my mentor."

Description

The Automated Reminder Notifications requirement ensures that users and mentors receive timely reminders about upcoming scheduled sessions. These notifications will be delivered via email and mobile push notifications, providing critical reminders to both parties 24 hours and 1 hour before each meeting. This feature enhances the mentorship experience by reducing no-shows and last-minute cancellations, which can disrupt learning continuity. By keeping users informed and engaged, the feature supports SkillBlink’s mission of fostering continuous skill development and accountability in the mentorship process.

Acceptance Criteria

User and mentor have scheduled a session for the following week and need to prepare for the meeting.

Given a scheduled session, when the meeting is 24 hours away, then both the user and the mentor should receive an email and mobile push notification reminder exactly 24 hours prior to the meeting.

User and mentor have an upcoming session scheduled for today and need to be reminded on the same day.

Given a scheduled session, when the meeting is 1 hour away, then both the user and the mentor should receive an email and mobile push notification reminder exactly 1 hour prior to the meeting.

User checks their email after the reminder notification is sent to ensure they received the timely notification about their upcoming meeting.

Given the notification is sent, when the user opens their email, then they should see the reminder for the meeting scheduled for the next day or hour, including the session details.

Mentor is in a different time zone from the user and both need to verify the reminder timing in their respective time zones.

Given that the session is scheduled, when the notification is sent, then both the user and mentor should receive reminders adjusted to their respective local time zones to avoid confusion about the meeting time.

A user forgets their scheduled session and does not receive any reminder, leading to a no-show.

Given a scheduled session, when the reminder notifications are implemented successfully, then there should be a decrease in the number of no-shows reported for mentorship sessions due to missed notifications by at least 50% within the first month of implementation.

User wants to ensure that reminder notifications are being received on all devices they use.

Given that a user has multiple devices linked to their SkillBlink account, when a reminder is sent for a scheduled session, then the user should receive the reminder notification on all linked devices (email and mobile app notifications).

Mentor wants to customize notification settings based on their preferences for meeting reminders.

Given the reminders settings, when a mentor accesses their notification preferences, then they should have the option to customize their reminder times to receive notifications earlier or later than the default settings of 24 hours and 1 hour.

Session Rating and Feedback System

"As a user, I want to rate my sessions and provide feedback so that I can share my experience and help improve the mentorship program for others."

Description

The Session Rating and Feedback System requirement allows users to provide feedback and rate their sessions with mentors after each meeting. This feature enhances accountability and encourages continuous improvement in the mentorship experience. By collecting this data, SkillBlink can identify potential areas for enhancement in both the platform and the mentor’s approach. Analyzing feedback will also help in recognizing high-performing mentors and fostering improvement among others, ensuring a higher quality experience for all users. This feedback loop is crucial for maintaining the platform's quality and effectiveness as it scales and evolves.

Acceptance Criteria

User provides a rating and feedback after a mentorship session in the Scheduled Sessions Hub.

Given a user has completed a mentorship session, When the user accesses the Session Rating and Feedback System, Then the user should be able to submit a rating between 1 to 5 stars and an optional text feedback.

Mentor receives feedback notifications after a session is rated.

Given a user submits feedback post-session, When feedback is submitted, Then the corresponding mentor should receive a notification indicating that feedback has been provided along with the session rating.

Feedback data is analyzed for mentor performance improvement.

Given multiple feedback submissions are collected, When an analysis is conducted, Then the system should generate a report highlighting average ratings per mentor and identify trends in feedback for potential improvement areas.

User views their feedback history to reflect on sessions.

Given a user has provided feedback on multiple sessions, When the user accesses their feedback history, Then the system should display a list of all past ratings and feedback provided, along with corresponding session dates.

System ensures feedback cannot be submitted for future events.

Given a user is trying to submit feedback on a session that has not yet occurred, When the user attempts to submit feedback, Then the system should not allow submission and provide an appropriate error message.

Admin reviews overall feedback trends across all mentorship sessions.

Given an admin user needs to assess feedback for quality control, When the admin accesses the dashboard for feedback analytics, Then the system should present a comprehensive overview of feedback trends, average ratings, and common feedback themes.

Mentor Availability Management

"As a mentor, I want to manage my availability so that users can schedule sessions with me at times that fit my schedule."

Description

The Mentor Availability Management requirement enables mentors to set their availability within the Scheduled Sessions Hub, allowing users to see when they are free to schedule sessions. Mentors can customize their availability based on their preferences and commitments. This feature ensures that users can conveniently select times that work for both parties, reducing scheduling conflicts and enhancing the overall engagement between users and mentors. It serves as a foundational element of the scheduling process, promoting seamless collaboration and effective learning, thus meeting SkillBlink's goals of effective professional development.

Acceptance Criteria

Mentor sets availability for weekly sessions.

Given a mentor logs into the Scheduled Sessions Hub, when they navigate to the availability settings, then they should be able to select specific days and times to indicate their availability for the week, and this information should be saved successfully.

User views available time slots for a mentor.

Given a user is on the Scheduled Sessions Hub, when they select a specific mentor, then they should see a list of available time slots that the mentor has set for scheduling sessions without any conflicts.

Mentor modifies their availability after initial setup.

Given a mentor has previously set their availability, when they log into the Scheduled Sessions Hub and change their available times, then the updates should reflect immediately for users viewing the mentor's schedule.

User attempts to schedule a session outside of mentor's availability.

Given a user selects a mentor and tries to book a time outside the mentor's set availability, when they attempt to confirm the session, then they should receive an error message indicating the selected time is unavailable.

Mentor's availability displays correctly in real-time.

Given multiple users are viewing the same mentor's availability concurrently, when any user updates their session request, then all users should see the latest availability accurately without delays or discrepancies.

User receives notification for changes in mentor's availability.

Given a user has scheduled a session with a mentor, when the mentor changes their availability, then the user should receive a notification alerting them of the change and any time slots affected.

Mentor sets recurring availability for sessions.

Given a mentor wants to set recurring availability for their sessions, when they select the option to create a recurring schedule, then the system should allow them to specify the recurrence pattern and save it successfully.

Session History Tracking

"As a user, I want to view my past sessions so that I can track my learning progress and prepare effectively for future meetings."

Description

The Session History Tracking requirement provides users and mentors with access to a log of past sessions, including dates, topics discussed, and feedback given. This feature allows users to reflect on their learning journey and track progress over time. It enhances the mentorship experience by promoting accountability and fostering continuity in learning. With this information readily available, both users and mentors can prepare for future sessions based on past discussions, thus enriching the overall mentoring process. This aligns with SkillBlink's vision of continuous improvement and learning by offering structured insights into the mentoring relationship.

Acceptance Criteria

Accessing the Session History Log

Given the user is on the Scheduled Sessions Hub, when they navigate to the Session History section, then they should see a list of past mentor sessions with dates, topics, and feedback given for each session.

Filtering Session History by Date

Given the user has accessed the Session History log, when they apply a date filter, then only sessions that fall within the selected date range should be displayed.

Viewing Session Details

Given the user is on the Session History log, when they click on a specific session entry, then they should see the detailed view which includes the date, topics discussed, feedback received, and any additional notes from the mentor.

Feedback Integration for Future Sessions

Given the user has viewed the feedback from past sessions, when they schedule a new session, then they should be prompted to consider past feedback to guide their preparation for the upcoming session.

Mentor Access to Session History

Given the mentor is on the Scheduled Sessions Hub, when they access their session history, then they should see the same log of past sessions that includes dates, topics discussed, and feedback they've provided for users they mentor.

Exporting Session History

Given the user is viewing their Session History log, when they choose the export option, then they should receive a downloadable file containing the session details in a readable format (e.g., PDF or CSV).

Resource Sharing Center

The Resource Sharing Center enables mentors to share valuable resources, such as articles, tools, and courses, directly with their mentees. This feature enriches the mentorship experience by equipping users with additional learning materials tailored to their interests and professional development, reinforcing the mentoring process with relevant content.

Requirements

Mentor Resource Upload

"As a mentor, I want to upload various resources so that I can provide my mentees with tailored learning materials that enhance their professional development."

Description

The Mentor Resource Upload requirement enables mentors to easily upload and share diverse resources, including articles, tools, videos, and courses, within the Resource Sharing Center. This functionality allows mentors to curate a personalized library of materials tailored to their mentees' individual learning needs and professional development pathways. The seamless integration of this feature with the existing platform will facilitate enhanced interactions between mentors and mentees, significantly enriching the learning experience and fostering a more collaborative environment. By empowering mentors to share specialized content quickly and efficiently, this feature supports continuous learning and skill advancement, ultimately promoting better outcomes for both parties involved.

Acceptance Criteria

Mentor Resource Upload for Skill Development

Given a mentor is logged into the SkillBlink platform, when they navigate to the Resource Sharing Center and select 'Upload Resource', then they should be able to successfully upload a document, video, or link, and receive a confirmation message that the upload was successful.

Resource Type Validation

Given a mentor is in the process of uploading resources, when they attempt to upload a resource type that is not supported (e.g., unsupported file format), then an error message should inform them of the issue and prompt them to select a valid file type.

Mentor Access to Uploaded Resources

Given a mentor has uploaded resources, when they navigate to the Resource Sharing Center, then they should be able to view a list of their uploaded resources along with options to edit or delete each resource.

Mentee Access to Shared Resources

Given a mentee is logged into their SkillBlink account, when they access the Resource Sharing Center, then they should be able to see all resources shared by their mentor and be able to download or view them without issues.

Resource Description and Tags

Given a mentor uploads a resource, when they fill in the resource form, then they must provide a title, description, and at least one tag so that the resource can be easily searched by mentees.

Resource Sharing Notifications

Given a mentor has successfully uploaded a resource, when the upload is complete, then the relevant mentees should receive a notification about the new resource available for their learning.

User Interface Consistency

Given a mentor is using the Resource Sharing Center, when they access the upload functionality, then the interface should be consistent with other user interface elements within the SkillBlink platform, ensuring a cohesive user experience.

Resource Categorization System

"As a mentee, I want to filter resources by categories so that I can quickly find relevant learning materials that match my interests and skill development needs."

Description

The Resource Categorization System is designed to enable the organization of shared resources within the Resource Sharing Center based on specific categories and tags. This feature will allow users to easily navigate and filter the available content based on their interests or skills they want to develop. Categories may include subject areas, skill levels, or types of resources (e.g., articles, videos, courses), making it simple for mentees to find relevant materials that align with their career goals. The implementation of this requirement will enhance user experience by making resource discovery more intuitive and efficient, thereby reinforcing the mentoring process through the availability of contextually appropriate content.

Acceptance Criteria

Mentee searches for resources based on specific skills they want to develop.

Given a mentee is logged into the Resource Sharing Center, when they select a skill category from the filter options, then only resources tagged under that skill category should be displayed in the results.

Mentors want to share a resource with their mentees by categorizing it appropriately.

Given a mentor is sharing a new resource, when they fill in the resource's details and select relevant categories and tags, then the resource should be saved with these categories and tags applied for easy discovery.

Users need to quickly find all resources available under a certain subject area.

Given a user is in the Resource Sharing Center, when they select a specific subject area from the category menu, then all resources under that subject area should be displayed without any irrelevant content.

A mentor reviews the categorization of all resources they have shared with mentees.

Given a mentor accesses their shared resources, when they view the list of resources, then they should be able to see the associated categories and tags for each resource they have shared.

Mentees view a categorized list of resources for recommended readings.

Given a mentee selects the 'Recommended Reading' category, when they browse the resources, then they should see only those resources categorized as 'Recommended Reading' without any other categories mixed in.

Users filter resources based on resource type to find specific formats like videos or articles.

Given a user is looking for a specific type of resource, when they select the filter for resource type, then only resources of that specific format should be displayed in the results.

Mentors want to categorize resources after sharing to improve organization.

Given a mentor has shared a resource, when they access the resource editing option, then they should be able to add or modify the categories and tags for that resource efficiently.

Feedback Mechanism for Resources

"As a mentee, I want to rate and comment on resources so that I can share my opinions and help others choose the most valuable learning materials."

Description

The Feedback Mechanism for Resources feature will allow users to provide ratings and comments on shared resources within the Resource Sharing Center. This functionality fosters a community-driven atmosphere where learners can express their thoughts on the quality and usefulness of the materials. By enabling mentees and mentors to engage in discussions around specific resources, this feature not only helps improve the overall quality of the shared content but also enhances the personalized learning experience, as it encourages a dialogue about best practices and relevant learning strategies.

Acceptance Criteria

Mentees can access the Feedback Mechanism after clicking on a shared resource within the Resource Sharing Center.

Given a shared resource is available, when a mentee selects it, then the feedback mechanism should be visible and functional.

Users can provide a rating for a shared resource on a scale of 1 to 5 stars within the Feedback Mechanism.

Given a rating option is displayed, when a user submits a rating, then the rating should be recorded and reflected accurately.

Users can leave comments on the feedback section of shared resources, allowing for discussion and feedback on the content.

Given a resource is rated by a user, when a comment is entered and submitted, then the comment should be displayed under the related resource with the user's details.

Mentors can view the aggregated feedback, including ratings and comments, on resources they have shared with mentees.

Given a mentor accesses their shared resources, when they select a resource, then they should see the total average rating and individual comments provided by mentees.

The system prevents users from submitting multiple ratings for the same resource to ensure fairness in feedback.

Given a user has already submitted a rating for a resource, when they attempt to submit another, then the system should display a notification that multiple ratings are not allowed.

Users can edit their comments on the feedback for shared resources within a certain time frame after submission.

Given a user has submitted a comment, when they access their comment within the allowed time frame, then they should have the option to edit or delete it.

Notifications are sent to mentors when their shared resources receive new ratings or comments, enhancing engagement with their mentees.

Given a resource shared by a mentor receives feedback, when a mentee submits a rating or comment, then the mentor should receive a notification about the new feedback.

Resource Recommendation Engine

"As a mentee, I want to receive personalized resource recommendations so that I can discover new learning materials that are aligned with my career goals and current skills."

Description

The Resource Recommendation Engine enhances the Resource Sharing Center by utilizing AI algorithms to analyze user preferences and behaviors in order to suggest personalized resources automatically. This intelligent feature aims to match mentees with the most relevant articles, tools, and courses based on their unique learning histories and skill gaps. By incorporating machine learning, the recommendation engine will continuously improve its suggestions, ensuring that users consistently receive strong recommendations that align with their career aspirations, thus facilitating a more tailored and effective learning experience.

Acceptance Criteria

Mentors log into the SkillBlink platform and access the Resource Sharing Center to share resources with their mentees, aimed at enhancing the mentorship experience.

Given that a mentor is logged into the Resource Sharing Center, When they select resources to share, Then the mentee should immediately receive notifications about the shared resources.

Mentees receive personalized resource recommendations from the Resource Recommendation Engine based on their learning history and skill gaps.

Given that a mentee has completed their skill assessment, When they navigate to the Resource Sharing Center, Then they should see a list of recommended resources tailored to their preferences and current skill gaps.

The Resource Recommendation Engine continuously learns from user interactions to improve the accuracy of its recommendations over time.

Given the interaction data from mentees, When the Resource Recommendation Engine processes this data, Then the accuracy of the recommended resources should show an improvement of at least 15% in user satisfaction ratings over the previous evaluation period.

Mentors and mentees can provide feedback on the relevance and usefulness of the recommended resources they receive.

Given that a mentee has accessed a recommended resource, When they provide feedback on its usefulness, Then the system should categorize this feedback and adjust future recommendations accordingly.

The Resource Sharing Center includes filtering options that allow mentors to categorize resources by type such as articles, tools, or courses.

Given that a mentor is accessing the Resource Sharing Center, When they apply a filter for resource types, Then only resources matching the selected criteria should be displayed.

Mentees on SkillBlink can view their resource recommendation history to track the evolution of their recommended learning materials.

Given that a mentee has accessed the Resource Sharing Center, When they navigate to the 'Recommendation History' section, Then they should see a chronological list of all previously recommended resources with feedback opportunities for each item.

The Resource Recommendation Engine allows mentors to manually input specific resources for mentees in addition to automated recommendations.

Given that a mentor is on the Resource Sharing Center page, When they manually input a resource to recommend, Then the resource should be added to the mentee’s list of personalized recommendations immediately.

Resource Sharing Analytics Dashboard

"As a mentor, I want to view analytics on shared resources so that I can understand which materials are most helpful to my mentees and optimize my resource sharing accordingly."

Description

The Resource Sharing Analytics Dashboard will provide both mentors and mentees with insights into resource engagement through statistics on viewing frequency, ratings, and feedback trends. This dashboard will showcase which resources are most beneficial, helping mentors refine their shared materials and guiding mentees in their learning journeys by showing what others find valuable. This visibility into resource utilization empowers users to make data-driven decisions about what resources to engage with, promoting a more informed and productive mentorship experience.

Acceptance Criteria

Mentor reviews resource engagement data for a specific resource shared with mentees.

Given a mentor accesses the Resource Sharing Analytics Dashboard, when they select a specific resource, then they should see detailed engagement statistics including viewing frequency, average ratings, and feedback comments.

Mentee checks the engagement metrics of all resources shared by their mentor.

Given a mentee logs into the Resource Sharing Analytics Dashboard, when they navigate to the shared resources section, then they should see a summary of engagement metrics, including the total number of views and average rating for each resource.

Mentor modifies shared resources based on engagement analytics feedback.

Given a mentor is on the Resource Sharing Analytics Dashboard, when they identify a resource with low engagement metrics, then they should have the ability to modify or replace that resource and publish updates to their mentees.

System tracks and displays trends in resource feedback over time.

Given any resource in the Resource Sharing Analytics Dashboard, when a user views the feedback section, then they should see a timeline of feedback trends including positive and negative comments, plotted over a specified time period.

Mentee provides feedback on a resource after engaging with it.

Given a mentee has engaged with a shared resource, when they access the feedback form from the Resource Sharing Analytics Dashboard, then they should be able to submit a rating and written feedback which is saved successfully and reflects in the analytics.

Mentor receives notifications for significant changes in resource engagement.

Given a mentor is using the Resource Sharing Analytics Dashboard, when there is a significant increase or decrease in engagement metrics for any resource, then they should receive a notification alerting them to review the impacted resource.

Modular Certification Builder

The Modular Certification Builder enables users to customize their certification paths by selecting from a variety of modules tailored to their specific career goals and industry requirements. This feature allows for granular control over the learning journey, ensuring users focus on relevant skills that directly impact their professional growth and job readiness.

Requirements

Custom Module Selection

"As a user looking to advance my career, I want to select specific learning modules that align with my industry and goals so that I can efficiently build my qualifications and certifications."

Description

The Custom Module Selection requirement allows users to choose from a range of predefined learning modules based on their unique career aspirations and industry standards. This enables a highly personalized certification experience, where users can curate their learning paths to align with specific goals, thereby increasing engagement and relevance in their skill acquisition process. The feature integrates seamlessly with the SkillBlink platform, leveraging AI to suggest modules that complement users' existing skills and career trajectories, promoting a dynamic approach to professional growth.

Acceptance Criteria

User selects a module from the available options in the Modular Certification Builder.

Given the user accesses the Custom Module Selection page, When they view the list of available modules, Then they can successfully select a module to add to their certification path.

User receives AI-generated module suggestions based on their current skills and career aspirations.

Given the user has completed their skill assessment, When they access the Custom Module Selection, Then they receive a list of at least three relevant module suggestions tailored to their profile.

User confirms and saves their selected modules for their certification path.

Given the user has selected multiple modules, When they click the 'Save Path' button, Then their selection is saved, and they receive a confirmation message indicating success.

User views their customized certification path with selected modules.

Given the user has saved their certification path, When they navigate to their profile, Then they can see a summary of their selected modules, including module titles and descriptions.

User updates their selected module choices if their career goals change.

Given the user wants to modify their certification path, When they access the Custom Module Selection page again, Then they can add or remove modules and save the updated selection without errors.

User completes a module and receives a certificate of completion.

Given the user has finished all the requirements of a selected module, When they check their certification status, Then they receive a digital certificate confirming module completion.

Progress Tracking Dashboard

"As a user, I want to view my progress on a dashboard so that I can easily monitor my learning journey and stay motivated to complete my certification."

Description

The Progress Tracking Dashboard requirement provides users with a visual representation of their learning journey, showcasing completed modules, upcoming assessments, and overall progress towards certification. This dashboard enhances user engagement by offering real-time feedback on their learning path and areas needing improvement. It is crucial for maintaining motivation and ensuring users are on track with their personalized certification plans, and allows for easy tracking of achievements and milestones.

Acceptance Criteria

User views the Progress Tracking Dashboard to check their current learning status after completing several certification modules.

Given a user has completed multiple modules, when they access the Progress Tracking Dashboard, then they should see a visual representation of completed modules, upcoming assessments, and overall progress percentage towards certification.

A user has just finished an assessment and wants to see how it impacts their overall progress on the dashboard.

Given a user has completed an assessment, when they refresh the Progress Tracking Dashboard, then the dashboard should update in real-time to reflect the new progress percentage and highlight any areas needing improvement.

A user is preparing for their next certification milestone and wants to track how many modules are left to complete.

Given a user is on the Progress Tracking Dashboard, when they look for pending modules, then they should see a clear list of remaining modules needed to complete their certification, along with deadlines if applicable.

A user interacts with their mentor through the dashboard to discuss progress and areas for improvement.

Given a user is on the Progress Tracking Dashboard and has an active mentorship connection, when they access the mentorship section, then they should be able to view their achievements and receive feedback based on their progress data.

User wants to set personal milestones within their learning path using the dashboard.

Given a user is using the Progress Tracking Dashboard, when they select the option to create personal milestones, then they should be able to set, edit, and save their milestones which will then be visually tracked on the dashboard.

A user accesses the dashboard from a mobile device to monitor their progress on the go.

Given a user accesses the Progress Tracking Dashboard on a mobile device, when the dashboard loads, then all visual components should be responsive and easily readable, ensuring usability across different screen sizes.

A user wants to download their progress data for offline review.

Given a user is on the Progress Tracking Dashboard, when they select the option to download their progress report, then they should receive a downloadable file containing their module completion status, assessments taken, and overall progress in expected format (e.g., PDF, CSV).

Peer Review Mechanism

"As a user, I want to give and receive feedback on completed modules from peers so that I can improve my learning experience and foster collaboration within my network."

Description

The Peer Review Mechanism requirement introduces a collaborative feature that enables users to review and provide feedback on each other's completed modules. This encourages community interaction and promotes the sharing of best practices, which can enhance learning outcomes. By integrating user-generated feedback, the SkillBlink platform fosters a sense of accountability and continuous improvement, which is essential for skills development in dynamic industries.

Acceptance Criteria

User submits a completed module for peer review.

Given a user completes a module, when they submit it for peer review, then the system must notify two randomly selected peers within the same certification program and allow them 48 hours to provide feedback.

Notification system for peer feedback.

Given that a peer submits feedback on a reviewed module, when the feedback is submitted, then the user who submitted the module must receive an immediate notification via email and in-platform alert.

Accessing peer reviews on completed modules.

Given a user has completed a module and received peer feedback, when they navigate to their dashboard, then they must be able to view all received peer feedback in an organized manner by module, with timestamps for each review.

Submission limit for peer reviews.

Given a module is submitted for peer review, when the module has received feedback from two peers, then no further peer reviews should be accepted for that module until it is revised and resubmitted.

Incorporation of feedback into continuous learning.

Given a user accesses their feedback from peers, when they decide to revise their module based on the feedback, then the user must be able to make edits and resubmit the module for peer review within the next 7 days.

Reporting peer feedback engagement statistics.

Given the completion of a certification module, when the user reviews their peer engagement statistics, then the system must display the number of reviews given and received, along with average ratings for each module.

User satisfaction with the peer review mechanism.

Given that multiple users have submitted modules for peer review, when the feedback gathering period concludes, then a satisfaction survey should automatically be sent to all participants, gathering their feedback on the peer review process.

Certification Templates

"As a user, I want to customize my certification template so that I can create a certificate that reflects my personal brand and professional achievements."

Description

The Certification Templates requirement allows users to customize the layout and content of their certification documents upon completion of their selected modules. Users can choose from various professional certificate designs that reflect their personal branding and industry standards. This capability enhances the final output of the learning journey by providing users with a tangible acknowledgment of their achievements, thereby motivating them to pursue further development while also enhancing their personal branding.

Acceptance Criteria

User customization of certification templates upon module completion

Given a user completes the selected learning modules, when they access the Certification Templates interface, then they are able to select from at least five professionally designed certificate templates.

Previewing customized certification documents before finalizing

Given a user selects a certificate template, when they customize the text and layout, then they are able to preview the certification document without any errors before finalizing.

Saving customized certification designs for future use

Given a user customizes their certificate design, when they choose to save their design, then the system should save their choices and allow them to revisit the design at a later time.

Updating certificate branding elements

Given a user is editing their certificate, when they attempt to change branding elements (logo, colors, fonts), then the changes reflect accurately in the preview in real-time without any lag.

Emailing the completed certification to users

Given a user has finalized their certification template, when they choose the option to send the certificate, then the system should successfully email the certificate in a PDF format to the user’s registered email address.

Ensuring compliance with industry standards

Given a user selects a certificate template, when the system validates the selected design, then it confirms that the template adheres to specified industry standards for certifications.

Providing accessibility options for certification templates

Given a user accesses the Certification Templates, when they navigate to accessibility options, then they find features (screen reader compatibility, adjustable font sizes) clearly available and functional.

Analytics Insights Integration

"As a user, I want to access detailed analytics about my performance so that I can identify my strengths and weaknesses and adjust my learning path accordingly."

Description

The Analytics Insights Integration requirement offers in-depth data analytics on user performance across different modules. This feature presents users with trends and insights about their learning habits, module effectiveness, and areas for potential growth. By harnessing this data, users can make more informed decisions about which skills to pursue next. This analytical approach supports SkillBlink’s mission of personalized, adaptive learning by providing actionable insights based on individual user data.

Acceptance Criteria

User accesses the Analytics Insights Integration feature after completing multiple learning modules to assess their performance and identify areas for improvement.

Given the user is logged in and has completed at least three modules, when they navigate to the Analytics Insights page, then the user should see a dashboard displaying their performance metrics, including completion rates, scores, and module effectiveness ratings.

A user wishes to track their learning habits over time and wants to receive insights based on their activity across different modules.

Given the user has engaged with multiple modules over a defined period, when they view the Activity Trends section of the dashboard, then they should see a graphical representation of their learning habits, including time spent per module and frequency of module engagement.

The user is interested in understanding which skills to focus on next based on their performance data and trends in their learning history.

Given the user has completed at least five modules, when they review the Suggested Skills section, then they should receive a list of recommended skills to pursue next along with justification based on their performance metrics and identified growth areas.

A user encounters an issue when trying to understand their performance metrics and requires support to decipher these analytics.

Given the user accesses the help documentation or support feature, when they seek assistance specific to the Analytics Insights Integration, then they should receive clear guidance or FAQs that explain how to interpret their performance data and insights.

The user wants to share their performance insights with a mentor for feedback and advice on their learning path.

Given the user is on the Analytics Insights page, when they select the share option, then they should be able to send a summary of their performance and insights to their mentor via email or direct messaging within the platform.

The system must update user performance data in real-time as the user interacts with the modules to ensure they receive the most current insights.

Given the user is actively completing modules, when they refresh or re-enter the Analytics Insights page, then the system should display the latest performance metrics and insights without needing the user to log out or back in.

Users need to access a summary report of their learning progress and performance over a specified timeframe.

Given the user selects a timeframe for their progress report (e.g., last 30 days), when they request the report, then the system should generate and display a downloadable summary report including performance graphs, insights, and recommendations for skills to pursue next.

Real-Time Mentorship Connections

"As a user, I want to connect with a mentor in real-time so that I can gain insights and guidance as I work through my certification modules."

Description

The Real-Time Mentorship Connections requirement facilitates instant access to mentors within the platform based on users' selected modules and career aspirations. This feature allows users to engage in live discussions and receive tailored advice from experienced professionals, enriching their learning experience. By bridging the gap between theory and practical application, this connects users with critical industry insights while fostering a supportive learning environment.

Acceptance Criteria

Users can access mentors instantly after selecting their desired certification modules and career aspirations in the platform.

Given a user has selected their certification modules, when they navigate to the mentorship section, then a list of available mentors with relevant expertise should be displayed within 3 seconds.

Users engage in a live mentorship session utilizing the chat and video functionality.

Given a user has connected with a mentor, when the live session starts, then users should be able to see and hear the mentor with no more than 1 second of latency during the session.

Mentors can provide feedback based on the user's selected modules during the mentorship session.

Given a mentor is engaged in a session with a user, when the mentor reviews the user's progress in the selected modules, then the mentor can provide tailored feedback relevant to the user's certification path with a minimum of 3 actionable recommendations.

Users can rate their mentorship experience after each session.

Given a user completes a mentorship session, when they are prompted to rate the session, then they must be able to provide a rating on a scale of 1 to 5 and leave comments that are successfully recorded in the system.

Users receive notifications of new mentorship opportunities based on their interests.

Given a user has specified interests and career aspirations, when a new mentor matches those criteria, then the user should receive a notification within 10 minutes of the mentor's availability status changing.

The platform tracks and displays user engagement metrics with mentors over time.

Given a user has had multiple mentorship sessions, when they view their mentorship history, then metrics such as total sessions, average rating, and skills improved must be displayed clearly and accurately.

Industry Trends Integration

Industry Trends Integration continuously updates certification paths based on the latest developments and demands in various fields. By analyzing real-time industry data, this feature ensures that the learning content remains relevant and valuable, helping users stay ahead of the curve and achieve qualifications that enhance their marketability.

Requirements

Real-Time Data Analytics

"As a professional looking to advance my career, I want to receive real-time updates on industry trends and skill demands so that I can tailor my learning journey and certifications to meet the evolving needs of employers."

Description

The Real-Time Data Analytics requirement encompasses the integration of live data feeds that monitor industry trends across various sectors. By utilizing advanced AI algorithms, this feature will analyze vast amounts of data from reliable sources, providing users with up-to-date statistics and insights on skill demand, emerging technologies, and competitive benchmarks. This capability ensures that users receive timely updates relevant to their learning paths and certification goals, enabling proactive adjustments to their skill development strategies. By facilitating a responsive learning environment, users can enhance their marketability in their respective fields and stay competitive in dynamic job markets.

Acceptance Criteria

Integration of real-time data feeds into SkillBlink to display current industry trends and skill demands.

Given live data feeds are integrated, when a user accesses their dashboard, then they should see the latest skill demand statistics and emerging technology trends relevant to their selected career path.

Regular updates to certification paths based on the most recent industry data analysis.

Given that the AI system analyzes industry data, when a trend shifts that affects certification requirements, then the system should update the corresponding certification paths within 24 hours.

User notifications for major shifts in skill demand that may impact their learning paths.

Given that significant changes in the industry data are detected, when the data is processed, then users should receive automated notifications about the changes to relevant skills and certifications.

Generating reports for users about industry trends and their personal progress in skill development.

Given the real-time analytics system is operational, when a user requests a report, then they should receive a comprehensive breakdown of the industry trends compared to their current skills and certifications.

Analysis of user skill development strategies in response to real-time industry data.

Given real-time data analytics, when users take certain actions based on the insights provided, then their skill development strategies should show a measurable improvement in certification achievement rates within one month.

Dashboard visualization of key metrics and trends for immediate user accessibility.

Given the integration of data analytics, when users view their dashboard, then they should see visual representations of key trends, such as skill demand metrics and certification completion rates, updated in real-time.

Personalized Learning Paths

"As a user, I want a learning path that is customized to my career goals and current skill level, so that I can efficiently focus on acquiring the skills I need to advance in my profession."

Description

The Personalized Learning Paths requirement focuses on creating adaptive learning experiences tailored to individual users' career aspirations and skill assessments. This feature will leverage AI to analyze user skills, interests, and industry requirements, curating unique learning paths that optimize skill acquisition and growth. By offering a dynamic learning experience, users can progress at their own pace and engage with content that aligns directly with their career goals. This personalization enhances user engagement and satisfaction, driving motivation and success in professional development while ensuring that the users are equipped with relevant and marketable skills.

Acceptance Criteria

User is presented with a curated learning path upon completing their skill assessment, which aligns with their career goals and industry requirements.

Given a user who has completed their skill assessment, when they access their profile, then they should see a personalized learning path tailored to their skills and career aspirations, with recommended modules and resources.

User progresses through their personalized learning path at their own pace with real-time tracking of their skill acquisition.

Given a user is engaged with their personalized learning path, when they complete a module, then their progress should be updated in real-time to reflect their achievements and remaining tasks.

User receives notifications about updates to their learning path based on the latest industry trends and demands.

Given that industry trends have changed, when new relevant modules are added to the user's learning path, then the user should receive a notification highlighting these updates and recommendations on how it impacts their learning journey.

User can view and select alternate learning paths based on their evolving career interests and industry changes.

Given a user is exploring new career interests, when they access the learning path selection feature, then they should be able to view and switch to alternate personalized learning paths available based on their updated preferences and skills.

User can track their overall progress and achievements within the personalized learning path through a dashboard.

Given a user has completed multiple modules in their personalized learning path, when they check their progress dashboard, then they should see a visual representation of their completed modules, skills acquired, and certificates earned.

User can provide feedback on the personalized learning path, affecting future recommendations and updates.

Given a user has completed a module in their learning path, when they submit feedback on the module, then this feedback should influence future content recommendations tailored to their preferences and effectiveness of the learning path.

Mentorship Matching System

"As a user seeking career advice, I want to be matched with a mentor who has experience in my industry and aligns with my career objectives, so that I can gain insights and support during my professional development."

Description

The Mentorship Matching System requirement aims to connect users with experienced professionals within their desired industry for guidance and support. This feature will utilize AI-powered algorithms to analyze user profiles, career aspirations, and skills to facilitate optimal mentor-mentee pairings. By fostering a collaborative learning environment, users can benefit from personalized insights and experiences shared by mentors, enhancing their skill development and career guidance. This system not only boosts user engagement but also enriches the overall learning ecosystem by promoting knowledge sharing and professional networking.

Acceptance Criteria

User Profile Creation and Data Input

Given a user has created a profile with career aspirations and skills, when the user initiates a mentorship matching process, then the system matches the user with at least three mentors based on profile data.

AI Algorithm Functionality

Given the mentorship matching system is active, when the AI processes user profiles, then it must analyze factors such as career aspirations, skills, and industry experience to suggest mentors accurately within 5 seconds.

Mentor Availability Status

Given a user has been matched with a mentor, when the user views the mentor's profile, then the availability status should reflect real-time data indicating whether the mentor is currently free for a session.

Feedback Loop for Improvement

Given the mentorship session has concluded, when both the mentor and mentee provide feedback, then the system should log this feedback and use it to improve future matching suggestions.

User Engagement Tracking

Given a user is participating in mentorship sessions, when the user logs into their dashboard, then they should see an engagement metric that tracks the number of sessions attended and time spent with mentors.

Notifications for Matching Updates

Given a user is seeking mentorship, when a new mentor becomes available or a suitable match is found, then the user should receive a notification via email and within the app.

Success Metrics for Mentorship Outcomes

Given a mentorship engagement has been completed, when the user assesses their career development progress, then the system should display metrics showing skill improvements and achievement of career goals post-engagement.

Certification Program Customization

"As a user, I want to customize my certification program to match my career goals and the skills needed in my industry, so that I can ensure my learning directly benefits my career advancement."

Description

The Certification Program Customization requirement provides users with the ability to customize their certification programs based on personal career objectives and industry standards. Users can select various components, including specific courses, skill assessments, and project completions that align with their targeted certifications. This feature will enhance learner agency and motivation by enabling users to shape their educational journeys while ensuring they meet the necessary qualifications for their career advancements. This flexibility promotes a sense of ownership over learning outcomes and increases the relevance of the acquired certifications to actual job performance.

Acceptance Criteria

User Customization of Certification Program

Given a user has accessed the Certification Program Customization feature, when they select courses and skill assessments, then the system should allow them to save these selections to their profile.

Validation of Industry Standards Alignment

Given a user has customized their certification program, when they review their selections, then the system should display a checklist indicating which components align with industry standards for their chosen career path.

Real-Time Updates to Certification Paths

Given the Integration of Industry Trends feature, when industry data is analyzed, then the system should automatically update the available certification paths reflecting ongoing trends.

User Feedback on Certification Program Customization

Given a user has completed customizing their certification program, when they provide feedback on the feature, then the system should record this feedback for future improvements.

Easy Navigation for Certification Customization

Given a user is navigating the Certification Program Customization page, when they attempt to add or remove components, then the system should provide intuitive controls that allow quick adjustments with clear confirmations.

Performance of Custom Certification Program

Given a user has successfully customized and completed their certification program, when they apply for a job, then the system must keep a record of the program for potential employers to view on the user’s profile.

Interactive Skill Assessments

"As a user, I want to take interactive skill assessments that give me immediate feedback on my abilities, so that I can identify gaps in my knowledge and focus my learning efforts more effectively."

Description

The Interactive Skill Assessments requirement introduces engaging and dynamic assessment tools that enable users to evaluate their skills effectively. These assessments will utilize various formats such as quizzes, simulations, and real-world scenario challenges, providing a rich diagnostic of user capabilities across multiple competencies. Feedback will be instantaneous, allowing users to identify strengths and areas for improvement, guiding their learning paths accordingly. This feature not only improves user motivation through engaging formats but also ensures that learners receive actionable insights to enhance their skill set strategically.

Acceptance Criteria

Users access the Interactive Skill Assessments through their personalized dashboard on SkillBlink, where they can select assessments based on their current skills and desired competencies.

Given that the user is logged into their SkillBlink account, when they navigate to the Interactive Skill Assessments section, then they should see a list of available assessments categorized by skill level and competency.

A new user completes their first Interactive Skill Assessment and receives immediate feedback regarding their performance, detailing strengths and areas for improvement.

Given that the new user completes the Interactive Skill Assessment, when the assessment is submitted, then the user should receive feedback within 2 minutes that clearly outlines their score, strengths, and suggested learning paths.

Users utilize different formats within the Interactive Skill Assessments, including quizzes and simulations, to evaluate their skill levels across various competencies.

Given that the user selects an assessment format, when they complete the assessment, then the system must track their progress across different formats and provide a comparative report of their competencies.

Mentors review skill assessment results for their mentees to provide tailored guidance based on the assessment feedback they receive from SkillBlink.

Given that a mentor accesses their mentee's assessment results, when they review the feedback summary, then they should see actionable insights and trends in the mentee's skills that can guide their mentorship discussions.

Users can track their skill improvement over time by taking the Interactive Skill Assessments repeatedly at different intervals.

Given that a user has completed an Interactive Skill Assessment previously, when they retake the same assessment after one month, then the system should compare their current score to their previous score and display the improvement over time.

Users share their completed assessment results and progress with peers or on their professional profiles to showcase their skills and competencies.

Given that a user has finalized their Interactive Skill Assessment, when they choose to share their results, then their profile should be updated to reflect their latest assessment achievements and any relevant badges earned.

The system continuously updates and optimizes assessments based on real-time industry data and trends.

Given that the Industry Trends Integration feature is enabled, when the Interactive Skill Assessments are accessed, then the available assessments should reflect the most current industry standards and competencies required for advancement.

Progressive Milestone Tracking

Progressive Milestone Tracking allows users to set specific objectives within their certification paths and monitors their progress in achieving these goals. This feature provides users with a tangible sense of accomplishment, fostering motivation and guiding them through their learning experience while aligning their efforts with their career aspirations.

Requirements

Customizable Milestones

"As a learner, I want to customize my learning milestones so that I can align them with my personal and professional goals, increasing my motivation and focus on my achievements."

Description

Users should be able to create, edit, and delete personal milestones within their certification paths to reflect their unique career goals and learning pace. This customization enhances engagement by allowing users to set and prioritize objectives that resonate with their aspirations, ultimately leading to improved satisfaction and retention. This feature should integrate seamlessly with the existing learning management system, ensuring that the milestones are tracked in real-time and that progress updates are automatically reflected in the user’s profile.

Acceptance Criteria

User sets a personal milestone for completing a specific course within their certification path.

Given the user is logged into their SkillBlink account, when they navigate to the milestone creation section, then they can create a new milestone specifying the course name, completion date, and a description.

User edits an existing milestone to change the completion date and description.

Given the user has an existing milestone in their profile, when they access the milestone editing feature, then they can successfully modify the completion date and description of the milestone.

User deletes a milestone they no longer wish to track.

Given the user is viewing their list of milestones, when they select a milestone and choose to delete it, then the milestone is removed from their profile and confirmation is provided to the user.

User views progress on their personalized milestones within their certification path.

Given the user has set multiple milestones, when they navigate to the milestone tracking dashboard, then they can see a visual representation of their progress for each created milestone along with relevant completion percentages.

User receives a notification to remind them of upcoming milestone deadlines.

Given the user has set milestones with specific deadlines, when the date is approaching, then the system sends a reminder notification to the user's registered email or app notifications.

User’s milestones are reflected in real-time on their learning management profile.

Given the user has created, edited, or deleted milestones, when they refresh their profile page, then all changes are immediately visible and accurately displayed without any lag.

Automated Progress Notifications

"As a user, I want to receive notifications about my progress so that I can stay accountable and motivated to achieve my learning milestones."

Description

Implement an automated notification system that updates users on their progress towards milestones via email and in-app messages. Users will receive regular updates about completed milestones, upcoming deadlines, and personalized encouragement, promoting a sense of accountability. This functionality is crucial for maintaining user engagement and motivation along their learning paths, ensuring they are continuously aware of their achievements and next steps.

Acceptance Criteria

User receives an automated email notification when they complete a milestone in their certification path.

Given that a user has completed a milestone, when the system processes this completion, then an email notification should be sent to the user's registered email address confirming the milestone achievement.

User receives an in-app notification alerting them of an upcoming milestone deadline.

Given that a milestone deadline is approaching within 7 days, when the system detects this timeline, then an in-app notification should be displayed to the user reminding them of the upcoming deadline.

User receives regular progress updates regarding their overall progress towards certification milestones.

Given that it has been one week since the user's last progress update, when the system checks for updates, then a summary email should be automatically sent to the user detailing their completed milestones, current progress, and any upcoming deadlines.

User can opt in or out of receiving automated notifications about milestones.

Given that the user is in their notification settings, when they select the option to toggle notifications on or off, then the system should update their preferences and reflect the changes in notification delivery immediately.

User receives personalized encouragement messages based on their progress and engagement.

Given that the user has not engaged with their milestone tasks for over three days, when the system detects this lack of engagement, then a personalized encouragement message should be sent via email and in-app notification to motivate the user to continue their progress.

Milestone Analytics Dashboard

"As a user, I want to access a dashboard that shows my milestones and progress so that I can easily track my achievements and understand where to direct my learning efforts next."

Description

Develop an analytic dashboard that visually represents users' milestones, achievements, and overall progress. This feature should enable users to see a graphical representation of their journey, including completed, ongoing, and upcoming milestones. This functionality will not only provide insights into users' progress but also help them identify areas where they may need to focus more effort, thus enhancing their learning experience and future success.

Acceptance Criteria

User accesses the Milestone Analytics Dashboard after logging into the SkillBlink platform.

Given I am a registered user, when I navigate to the Milestone Analytics Dashboard, then I should see a graphical representation of my completed, ongoing, and upcoming milestones.

A user completes a milestone in their certification path and checks the dashboard to review their progress.

Given I have completed a milestone, when I refresh the Milestone Analytics Dashboard, then the completed milestone should be visually represented as such on the dashboard.

User interacts with the milestone tracking feature to identify areas needing focus for their career development.

Given I can view my progress on the dashboard, when I click on a milestone, then I should see detailed analytics about that milestone, including tasks completed and areas for improvement.

User accesses the dashboard to visualize their progress over a specified time period.

Given I want to analyze my progress, when I use the date range filter, then I should be able to view my milestones achievements within that specific timeframe.

User wants to share their milestone progress with a mentor for feedback.

Given I can view my milestones on the dashboard, when I select a sharing option, then I should be able to securely share my milestone analytics with a chosen mentor.

User has pre-set goals and wants the dashboard to reflect their achievement status clearly.

Given I have set specific milestone goals, when I view the Milestone Analytics Dashboard, then my goals should be represented with a clear achievement percentage next to each milestone.

User receives a notification upon completing a milestone and checks the dashboard for feedback.

Given I complete a milestone, when I receive a notification, then the Milestone Analytics Dashboard should automatically update to reflect this completed milestone with an appropriate notification prompt.

Peer Comparison Feature

"As a professional, I want to compare my progress with peers so that I can stay motivated and learn from others who are on similar paths."

Description

Introduce a feature that allows users to compare their milestone progress with peers within the platform. This feature fosters a competitive yet supportive environment, encouraging users to strive for their goals by seeing how they measure up against others. Peer comparisons can be anonymized or opt-in, ensuring users maintain control over their shared data, while benefiting from community-driven motivation.

Acceptance Criteria

As a user, I want to view my milestone progress compared to my peers on my dashboard, so that I can understand where I stand in relation to my community.

Given that I have completed at least one milestone, when I access the Peer Comparison section of my dashboard, then I should see my progress displayed alongside anonymized progress data from selected peers.

As a user, I want to be able to opt-in to share my milestone progress for peer comparison, ensuring that I control my privacy settings.

Given that I am on the settings page, when I toggle the 'Share My Milestone Progress' option to 'Enabled', then my progress should be visible to my peers in the Peer Comparison feature.

As a user, I want to receive notifications when my progress ranks higher than a certain percentage of my peers, providing motivation to continue my efforts.

Given that I have opted into peer comparison, when my progress exceeds the 75th percentile of my peers, then I should receive a notification congratulating me on my achievement and encouraging continued development.

As a user, I want to compare my milestone achievements with specific peers, so I can gauge my performance against role models in my field.

Given that I select individual peers from my peer list, when I view the comparative data, then I should see a side-by-side comparison of milestone achievements between myself and the selected peers.

As a user, I want my peer comparison data to be updated in real time, ensuring I see the most accurate representation of my progress against my peers.

Given that I am logged into the platform, when any of my peers update their milestone progress, then my Peer Comparison data should refresh automatically within a minute to reflect those changes.

As a user, I want the option to hide my progress from specific peers, protecting my privacy while still allowing for comparative analysis.

Given that I am viewing my peer comparison settings, when I select specific peers to hide my progress from, then those selected peers should not see my milestone data in their comparison view.

Gamification Elements

"As a user, I want to earn rewards for completing my milestones so that I feel motivated and recognize my achievements while learning."

Description

Integrate gamification elements into the milestone tracking feature, such as badges, points, and levels, which users can earn as they complete milestones. This engagement strategy is designed to enhance user interaction with the platform by making learning more enjoyable and rewarding. The integration of these elements should be carefully balanced to support genuine learning outcomes rather than superficial achievement, promoting a culture of skill development rather than mere completion.

Acceptance Criteria

User earns badges upon completing key milestones in their certification path, which are then displayed on their profile.

Given a user has completed a milestone, when the milestone is verified, then a badge should be awarded and visible in their profile section as a form of recognition.

Users accumulate points for each milestone they complete, leading to an increase in their user level within the platform.

Given a user completes a milestone, when the milestone achievement is recorded, then the user’s points should increase accordingly, impacting their overall user level based on a predefined points system.

Users can view a progress bar that visually represents their journey towards completing certification paths, including earned badges and points.

Given a user accesses their milestone tracking dashboard, when the dashboard loads, then the progress bar should accurately reflect the percentage of milestones completed and display associated badges earned.

A notification system alerts users when they earn points or badges after completing a milestone, encouraging ongoing engagement with the platform.

Given a user completes a milestone, when the badge or points are awarded, then the user should receive an instant notification on their dashboard and via email about their achievement.

Users can share their earned badges on social media platforms to showcase their accomplishments and foster user engagement.

Given a user has earned a badge, when they opt to share it on social media, then the badge should be generated as a shareable link or image that links back to their profile on SkillBlink.

The gamification elements should not discourage genuine learning and should include explanatory tooltips for each badge or point system to ensure understanding of their purpose.

Given a user hovers over a badge or points with an informational tooltip, when they interact with it, then the explanation should clarify how the achievement relates to their learning progress and skills development.

Feedback Mechanism for Milestones

"As a learner, I want to share my feedback on completed milestones so that I can help improve the learning experience for myself and others."

Description

Establish a mechanism that allows users to provide feedback on their experience with each milestone after completion. This feedback will be instrumental in understanding user satisfaction and improvement areas and can guide future iterations of milestones. The aggregation of this data will also enhance the platform's adaptability and personalization, ensuring that it continues to meet the evolving needs of learners.

Acceptance Criteria

User completes a milestone and accesses the feedback form after milestone achievement.

Given a user who has completed a milestone, when they navigate to the feedback form, then they should see relevant questions regarding their experience with the milestone and a submit option.

User submits feedback on a completed milestone and receives confirmation of submission.

Given a user provides feedback on a completed milestone and clicks submit, then they should receive a confirmation message indicating their feedback has been successfully submitted.

User views previously submitted feedback for a specific milestone in their profile.

Given a user has submitted feedback for a milestone, when they access their profile, then they should see their previously submitted feedback for that specific milestone.

Admin reviews aggregated feedback data for milestones to identify improvement areas.

Given the admin accesses the feedback reports, when they filter by milestone, then they should see aggregated data that highlights common user sentiments and suggestions for improvement.

User attempts to submit feedback without answering all required questions in the feedback form.

Given a user fills out the feedback form and leaves mandatory questions unanswered, when they attempt to submit, then they should see an error message prompting them to answer all required questions before submission.

User accesses a feedback summary dashboard that reflects feedback trends over time.

Given a user accesses the feedback summary dashboard, when they view the metrics, then they should see visual representations of feedback trends, including satisfaction ratings and common themes.

Peer Review and Feedback

The Peer Review and Feedback feature encourages collaborative learning by allowing users to share their work and earn feedback from peers within their certification paths. This feature not only enhances user understanding through diverse perspectives but also cultivates a community of learners dedicated to supporting each other’s growth and improvement.

Requirements

Feedback Submission Process

"As a user, I want to easily submit my work for peer review so that I can receive constructive feedback and improve my skills based on different perspectives."

Description

This requirement establishes a streamlined process for users to submit their work for peer review, enabling them to easily share their projects or tasks with peers within their certification paths. The submission process will include user-friendly interfaces for uploads, detailed guidelines for submission criteria, and a tagging system to categorize submissions. By facilitating this exchange, participants gain diverse perspectives and insights to enhance their learning experience. The successful implementation of this feature will promote a culture of collaboration and support, significantly improving skill acquisition and retention.

Acceptance Criteria

A user uploads a completed project to the Peer Review and Feedback section within their certification path, utilizing the user interface for file uploads and tagging their submission appropriately.

Given a user is logged into the SkillBlink platform, when they navigate to the Peer Review and Feedback section and select the upload option, then they must successfully upload a file and receive a confirmation message indicating that the submission was successful.

A user accesses the submission guidelines prior to uploading their project for peer review in order to ensure that their submission meets all necessary criteria.

Given a user is in the Peer Review and Feedback section, when they click on the guidelines link, then they must be able to view detailed and clear guidelines for submission criteria without any broken links or missing information.

A user categorizes their submission using the tagging system to ensure relevant peers can easily find and review their work.

Given a user is uploading their project, when they apply tags from the provided list, then the tags must be correctly saved and displayed alongside the submission to allow for easy filtering by other users.

A user reviews feedback received on their project submission, responding to constructive critiques provided by peers.

Given a user has received feedback on their submission, when they navigate to the feedback section, then they must be able to view all feedback comments and have the option to respond or ask for clarification on each comment.

A user attempts to submit a project that does not meet the submission criteria outlined in the guidelines.

Given a user tries to upload a project that does not meet the specified criteria, when they attempt to submit, then the system must prevent the submission and display a clear error message indicating the reasons why the submission failed.

A user tracks their peer review activity to understand how many projects they have submitted and the feedback received over time.

Given a user is in their dashboard, when they view the Peer Review and Feedback activity section, then they must see a summary including the number of submissions made and the feedback received, along with dates and status of each submission.

A user wants to provide feedback on a peer's submission to contribute to the collaborative learning environment.

Given a user is viewing a peer's submission, when they write and submit feedback, then their feedback must be recorded and visible to the submitter, ensuring users can see who provided the feedback and the date it was submitted.

Peer Feedback Mechanism

"As a user, I want to provide feedback on my peers’ work so that I can contribute to their learning and also improve my own understanding by reviewing different perspectives."

Description

The peer feedback mechanism will allow users to provide structured feedback on their peers' submissions with a rating system and comment sections. This will ensure that feedback is actionable, clear, and constructive. The implementation will involve establishing criteria for effective peer feedback to help users critique positively and effectively. This feature will not only enhance user engagement but will also foster a sense of community as users interact and learn from each other. Additionally, incorporating gamification elements, such as badges for feedback contributions, can further motivate participants to engage in the feedback process.

Acceptance Criteria

User submits a project for peer review within their certification path, enabling classmates to provide feedback.

Given a user has submitted a project, when other users access the submission, then they should see a feedback form including a rating system and comment section.

A user receives feedback on their submission, including both a numerical rating and written comments from peers.

Given a user has received peer feedback, when they view the feedback, then they should see an aggregated rating and individual comments clearly displayed for each reviewer.

A user wants to provide feedback on a peer's submission, ensuring they adhere to established guidelines for constructive criticism.

Given a user is on a peer's submission page, when they submit feedback, then the system should validate that both the rating and comments comply with the peer feedback guidelines before allowing submission.

Gamification elements motivate users to provide feedback on submissions by tracking their contribution and rewarding them.

Given a user has provided feedback, when they submit it, then the system should update their profile with points and award a badge for their contribution to the feedback process.

Users can view their feedback history to understand their contributions and areas for improvement.

Given a user navigates to their profile, when they view their feedback history, then they should see a list of all feedback they have given along with any badges earned.

Users are notified when they receive feedback on their submissions, ensuring prompt engagement with the feedback process.

Given a user has received feedback, when they log into the platform, then they should see a notification alerting them to the new feedback on their submission.

Feedback Integration with Progress Tracking

"As a user, I want to see how the feedback I receive from my peers contributes to my overall progress so that I can focus on areas that need improvement and celebrate my achievements."

Description

This requirement involves integrating peer feedback directly into each user’s progress tracking dashboard, allowing users to see how peer evaluations impact their development. The integration will showcase feedback summaries, highlight areas of improvement, and suggest courses or resources tailored to the feedback received. This personalized connection between feedback and progress will incentivize users to participate actively in peer review and aim for continuous improvement as they can visualize their growth over time. The smart synthesis of feedback data will significantly enhance the learning experience by making it more dynamic and responsive to user needs.

Acceptance Criteria

Integration of Peer Feedback into User Dashboard

Given a user accesses their progress tracking dashboard, when they view the Peer Feedback section, then they should see a summary of peer evaluations related to their submitted work, including categories for strengths and areas for improvement.

Visualization of Feedback Impact on Learning Progress

Given a user receives peer feedback, when they review their progress tracking dashboard, then they should see a visual representation, such as a progress bar or scoring system, that reflects the impact of peer feedback on their learning metrics.

Resource Recommendations based on Peer Feedback

Given a user has received feedback highlighting specific areas for improvement, when they access their progress tracking dashboard, then they should see personalized recommendations for courses or resources relevant to the feedback received.

Real-time Updates of Feedback Submission

Given a user submits their work for peer review, when a peer provides feedback, then the dashboard should update in real-time to reflect the new feedback without requiring a refresh.

Notification of Feedback Availability

Given a user has submitted their project for peer review, when their peer submits feedback, then the user should receive a notification alerting them that new feedback is available for review.

Feedback Aggregation for Performance Reflection

Given multiple peer feedback submissions, when the user views the feedback section in their dashboard, then they should see aggregated insights, such as average scores or common themes identified in the feedback.

User Interaction with Feedback Suggestions

Given a user is presented with course recommendations based on feedback, when they click on a suggested course, then they should be redirected to the course details page for enrollment.

Community Forum for Peer Interactions

"As a user, I want to engage in a community forum so that I can connect with others, share knowledge, and seek help beyond formal peer reviews."

Description

A community forum feature where users can start discussions, share insights, and request feedback from the broader peer group will enhance collaborative learning. This forum will function as a social space for users within their certification paths, enabling networking and support beyond formal reviews. It will include the ability to post questions, share resources, and engage in conversations around topics relevant to their development. By fostering an interactive community, this feature aims to create a sense of belonging and support among participants, further bridging the gap between formal learning and peer-supported education.

Acceptance Criteria

User Engagement in Community Forum Discussions

Given a registered user is logged into SkillBlink, when they navigate to the Community Forum and post a question or topic for discussion, then the forum should display the new post immediately and notify subscribers of the forum.

Feedback Mechanism for Peer Responses

Given a user posts a question in the Community Forum, when other users respond with feedback, then the original user should receive notifications for each response and be able to reply to each comment directly in the forum.

Resource Sharing in the Community Forum

Given a user wishes to share a resource in the Community Forum, when they upload a file or link within a post, then the resource should be accessible by all forum users with proper tracking of who shared the resource.

Moderation of Community Forum Content

Given that the Community Forum allows for user-generated content, when a user flags inappropriate or irrelevant posts, then those posts should be reviewed by a moderator within 24 hours and acted upon accordingly.

User Profile Integration with Community Forum

Given a user contributes to the Community Forum, when they click on another user’s profile, then they should see additional information including their contributions, certifications, and peer ratings.

Search Functionality in the Community Forum

Given users are searching for content in the Community Forum, when they use the search bar to input keywords, then relevant posts and discussions related to those keywords should be displayed within 2 seconds.

User Engagement Metrics for Community Forum

Given the Community Forum is actively used, when an administrator views the analytics dashboard, then they should see metrics such as total posts, active users, and user feedback ratings updated in real-time.

Anonymous Feedback Option

"As a user, I want the option to give feedback anonymously so that I can provide honest and constructive criticism without fear of repercussion."

Description

Introducing an anonymous feedback option to the peer review process encourages honesty by reducing the fear of negative evaluation. Users can provide feedback without disclosing their identities, promoting candid responses and fostering a safe environment for learning and improvement. This feature will require careful design to ensure it aligns with overall accountability practices while still encouraging open communication. By enabling anonymous feedback, users may feel more empowered to share constructive criticism that can lead to significant improvements in their peers' work.

Acceptance Criteria

User selects the anonymous feedback option during the peer review process.

Given a user is reviewing a peer's work, when they choose to provide feedback, then they should have the option to provide feedback anonymously and submit it without displaying their identity.

User submits anonymous feedback on a peer's project.

Given a user has selected the anonymous feedback option, when they submit their feedback, then the feedback should be recorded in the system without revealing the user's identity to the recipient.

Recipient views anonymous feedback on their submission.

Given a user has received anonymous feedback, when they check the feedback section of their project, then they should see the feedback without any identifying information about the reviewer.

System tracks the number of anonymous feedback submissions.

Given the anonymous feedback feature is implemented, when users submit feedback, then the system should accurately count and report the total number of anonymous feedback submissions.

User can toggle anonymous feedback on or off in their settings.

Given a user is in their account settings, when they adjust the preference for anonymous feedback, then the system should save their preference and apply it during future peer reviews.

Users are informed about the anonymous feedback process before submitting.

Given a user is about to submit anonymous feedback, when they initiate the submission, then they should see a prompt explaining the purpose and nature of the anonymous feedback option.

Feedback metrics are displayed in user profiles.

Given a user has received anonymous feedback on their submissions, when they view their profile, then they should see a summary metric that indicates the number of anonymous feedback instances received.

Adaptive Learning Modules

Adaptive Learning Modules adjust in difficulty and focus based on the individual's performance and learning style. This feature provides personalized content that aligns with the user's evolving proficiency levels, ensuring a more effective and engaging learning experience that keeps pace with their professional development.

Requirements

Dynamic Content Adaptation

"As a professional learner, I want the learning modules to adapt to my performance and preferences so that I can receive content that is tailored to my current skill levels and learning style, enhancing my learning experience and helping me grow faster in my career."

Description

The Dynamic Content Adaptation requirement involves the implementation of algorithms that analyze user performance and preferences in real-time, allowing the Adaptive Learning Modules to modify learning materials dynamically. By leveraging user data, the system will personalize content by adjusting its complexity, focusing on areas where the user may be struggling, and emphasizing topics where they showcase strength. This feature enhances user engagement and effectiveness, ensuring that each learner receives relevant and appropriate level content that fosters ongoing professional growth and skill development.

Acceptance Criteria

User Performance-Based Content Adjustment

Given a user who engages with the Adaptive Learning Modules, when the user completes a skill assessment, then the system should dynamically adjust the difficulty level of the subsequent learning materials based on the performance results, ensuring a personalized learning experience.

Real-Time Learning Style Adaptation

Given a user exploring different content formats, when the user spends more time on video lessons than text-based materials, then the system should prioritize video-based content in future modules to match the user's preferred learning style.

Progress Tracking and Feedback Mechanism

Given a user navigating through various modules, when the user achieves a milestone, then the system should immediately provide feedback, including suggestions for future modules and areas of focus based on their current proficiency levels.

Engagement Metrics Calculation

Given the Adaptive Learning Modules are in use, when a user completes a set of tasks, then the system should analyze engagement metrics, such as time spent on each module and assessment scores, to refine content delivery strategies moving forward.

Customizable Content Delivery based on Strengths

Given a user demonstrates high proficiency in a specific skill area, when the user requests additional training materials, then the system should produce advanced content that focuses on enhancing that skill further while subtly integrating related areas for holistic growth.

User Feedback Incorporation

Given a user has completed several modules, when they provide feedback indicating they found certain content unhelpful, then the system should log this feedback and adjust future content recommendations accordingly to improve the overall learning experience.

Progress Tracking Dashboard

"As a learner, I want a dashboard to track my progress so that I can visualize my learning journey, set goals, and understand my strengths and weaknesses, motivating me to continue my development."

Description

The Progress Tracking Dashboard is a requirement for creating a user-friendly interface that allows users to visualize their learning progress over time. This dashboard will include metrics such as completed modules, skill level advancements, time spent on specific topics, and upcoming certifications. By presenting progress in an easily digestible format, users can better understand their learning trajectories, identify strengths and weaknesses, and set achievable learning goals. This feature directly contributes to user motivation and accountability in their professional development journeys.

Acceptance Criteria

User views their learning progress on the dashboard after completing several modules over a month.

Given the user has completed at least three modules, when they access the Progress Tracking Dashboard, then they should see graphs indicating completed modules and skill level advancements with a date range chosen for the last month.

User checks their time spent on specific topics to identify areas needing improvement.

Given the user has spent a cumulative time of at least 10 hours on a specific topic, when they view the dashboard, then they should see a detailed breakdown of time spent on each topic as well as a percentage of their total learning time.

User wants to set learning goals based on their progress metrics.

Given the user has accessed their Progress Tracking Dashboard, when they review their current skill levels and completed modules, then they should be able to set specific learning goals that align with their identified weaknesses as noted in the dashboard.

User receives notifications for upcoming certifications based on their progress.

Given the user has completed a module relevant to a certification, when the user visits the Progress Tracking Dashboard, then they should see a reminder notification for the certification linked to that module that is set to occur within the next month.

User wants to compare their progress against peers in the same skill area.

Given the user has access to a comparison feature on the Progress Tracking Dashboard, when they select to view peer comparison, then they should see a comparative analysis of their progress metrics against selected peers in the same skill category.

User wishes to download their progress report for external review.

Given the user is on the Progress Tracking Dashboard, when they request to download their progress report, then they should receive a comprehensive PDF that includes all metrics such as completed modules, skill level advancements, and time spent on each topic.

Peer Interaction Capability

"As a user, I want to interact with my peers on the platform so that I can share ideas, collaborate on projects, and enhance my learning experience through community support and networking."

Description

The Peer Interaction Capability requirement involves integrating features that enable users to connect and collaborate with their peers within the platform. This will include functionalities such as discussion forums, peer-to-peer messaging, and collaborative projects. By fostering a community of learners, users can share insights, ask questions, and engage in mentorship opportunities. This interaction not only enriches the learning experience but also builds essential networking skills that are crucial for professional growth.

Acceptance Criteria

User successfully accesses and navigates the discussion forum to post a question about a learning module.

Given a registered user is logged in, when they navigate to the discussion forum, then they should be able to post a question and receive a confirmation that the question has been posted.

User receives a peer-to-peer message from another user regarding a collaborative project.

Given a registered user has a peer who can send messages, when the peer sends a message, then the user should receive a notification and be able to view the message in their inbox.

Users participate in a collaborative project and share their progress within the system.

Given a group of users has created a collaborative project, when any team member updates their progress, then the updates should be visible to all other team members in real-time.

User searches for a peer based on specific skills within the platform.

Given a registered user is logged in, when they use the search functionality to find peers by skill, then they should see a list of users who match the skill criteria.

User engages in a mentorship relationship and shares resources with their mentor.

Given a user has connected with a mentor, when the user shares a resource link, then the mentor should be notified of the shared resource and be able to access it.

User initiates a group discussion on a specific topic in the discussion forum.

Given a logged-in user is in the discussion forum, when they create a new discussion topic, then the topic should be visible to all users in the forum and allow responses from others.

User utilizes the notification feature to track replies to their forum posts.

Given a user has posted in the discussion forum, when someone replies to their post, then the user should receive a notification about the reply in their notification center.

Customizable Certification Programs

"As a professional, I want to customize my certification programs so that I can highlight my skills relevant to my career ambitions, making my profile more attractive to employers and enhancing my job opportunities."

Description

The Customizable Certification Programs requirement focuses on developing a versatile framework that allows users to design their own certification paths based on selected skills and competencies. Users can choose specific modules and assessments that align with their career goals, facilitating personalized recognition of their achievements. This feature not only empowers users in their learning but also enhances their resumes and professional credibility in their chosen fields.

Acceptance Criteria

User selects specific skills and competencies to include in their certification path.

Given a logged-in user, when they access the certification customization feature, then they should be able to view all available skills and competencies, and successfully select at least three to include in their certification path.

User completes required modules and assessments as defined in their customized certification path.

Given a user has created a customized certification path, when they complete each module and associated assessments, then their progress should be accurately tracked and reflected in their profile.

User receives a certificate upon successful completion of their customizable certification program.

Given a user has met all the requirements for their customized certification path, when they request their certification, then they should receive a downloadable certificate confirming their achievements.

User can share their certification achievements on professional networks.

Given a user has completed their customizable certification program, when they choose to share their certification on LinkedIn, then the certification should appear with the correct details and a valid link back to SkillBlink.

User can edit their customizable certification paths after creation.

Given a user has an existing certification path, when they access the editing feature, then they should be able to add or remove skills and modules from their path without any system errors.

User receives recommendations for additional skills and modules based on their career goals.

Given a user has defined their career goals within the system, when they access their customizable certification options, then they should receive at least three relevant recommendations for additional skills and modules.

User can view previously completed certifications for tracking progress.

Given a user has completed certification programs in the past, when they navigate to their profile section, then they should see a list of previously completed certifications with completion dates and associated skills.

Real-Time Feedback Mechanism

"As a learner, I want to receive real-time feedback on my performance so that I can make immediate adjustments to my study methods and improve my understanding of the material."

Description

The Real-Time Feedback Mechanism requirement consists of a system that provides instant feedback to learners based on their performance in assessments and interactive content. This system will highlight areas for improvement, suggest additional resources, and encourage users to reflect on their learning strategies. By receiving immediate feedback, users can adjust their learning approaches and strategies in real-time, leading to more effective and targeted skill acquisition.

Acceptance Criteria

User receives immediate feedback after completing an assessment to identify strengths and weaknesses.

Given a user completes an assessment, when the assessment is submitted, then the system should display feedback within 3 seconds highlighting at least 3 strengths and 3 areas for improvement.

Learner accesses suggested resources based on performance feedback to improve skills.

Given a user receives feedback indicating a need for improvement in a specific area, when the user clicks on the suggested resources link, then the system should present at least 3 relevant resources tailored to the identified weakness.

User reflects on feedback to adjust learning strategies for future assessments.

Given a user receives feedback, when the user completes a reflection activity based on that feedback, then the system should record their new learning strategies and display a summary of changes made.

Mentors and peers can view learner feedback to facilitate discussions and support.

Given a mentor or peer accesses a learner's profile, when they view the feedback section, then they should see a summary of the latest feedback received by the learner including areas for progress.

User receives reminders based on feedback for continued learning.

Given a user receives feedback after an assessment, when the user logs in the following day, then the system should send a push notification reminding the user of the suggested improvement areas and recommended resources for the next steps.

System provides analytics on feedback usage to identify trends in learning progress.

Given a learner has completed multiple assessments, when the administrator accesses the feedback analytics dashboard, then the system should display trends illustrating improvements in user performance over time along with average feedback scores.

Feedback mechanism is integrated into the progress tracking feature to help users view their development.

Given a user accesses their progress tracking dashboard, when they review their performance summary, then the system should show a correlation between feedback received and skills improved, visually represented through charts.

Certification Showcase Hub

The Certification Showcase Hub enables users to display their completed certifications and learning achievements on their profiles. This feature serves as a powerful online portfolio that enhances visibility to potential employers and networking opportunities, allowing users to highlight their skills and competencies attributable to their active engagement with SkillBlink.

Requirements

User Profile Integration

"As a professional using SkillBlink, I want my certifications to automatically appear on my profile so that potential employers can easily see my qualifications and skills without additional steps."

Description

The User Profile Integration requirement enables seamless integration of the Certification Showcase Hub with user profiles, ensuring that all completed certifications and achievements are automatically showcased on each user’s profile. This feature will allow users to update their profiles effortlessly as they earn new certifications, enhancing the visibility of their skills to potential employers and peers. Additionally, this integration will provide a centralized view of all user achievements within the SkillBlink platform, fostering an environment of recognition and motivation for continuous learning.

Acceptance Criteria

User views their profile and notices the Certification Showcase Hub displaying all their completed certifications and achievements accurately and in real-time.

Given a user has completed several certifications, when they visit their profile, then all completed certifications should be displayed in the Certification Showcase Hub.

User earns a new certification through the SkillBlink platform and verifies that it automatically appears on their profile without manual input.

Given a user earns a new certification, when they check their profile within 5 minutes, then the new certification should be reflected in the Certification Showcase Hub without any manual update required.

User navigates to another user's profile to examine their achievements and sees the Certification Showcase Hub effectively showcasing that user's certifications.

Given a user accesses another user's profile, when they view the Certification Showcase Hub, then the hub should display the other user's completed certifications accurately and clearly.

User wishes to customize the display order of their certifications in the Certification Showcase Hub to highlight their most relevant achievements.

Given a user selects their preferred display order for certifications in the Certification Showcase Hub, when they save the changes, then the certifications should rearrange according to the selected order instantly.

User onboards onto SkillBlink and is guided through the process of linking their completed certifications to the Certification Showcase Hub in their profile.

Given a new user goes through the onboarding process, when they complete the tutorial, then they should successfully link at least one existing certification to their profile in the Certification Showcase Hub.

User receives a notification when a certification is successfully linked to their profile from the Certification Showcase Hub, confirming the integration was successful.

Given a user completes linking a new certification, when the action is successful, then they should receive a notification indicating that the certification has been successfully added to their profile.

User engages with their profile over time and wants to see statistical insights regarding their certifications displayed in the Certification Showcase Hub.

Given a user views their profile, when they access the statistics section, then it should display insights such as the total number of certifications achieved, certification types, and sharing activity over the past year.

Customizable Display Settings

"As a user, I want to customize the display of my certifications so that I can highlight the most relevant skills to my career goals and audience."

Description

The Customizable Display Settings requirement allows users to tailor how their certifications and achievements are displayed in the Certification Showcase Hub. This feature will empower users to prioritize certain certifications, adjust the layout, and choose which achievements to showcase, providing a personalized representation of their skills. By enhancing user control over their profiles, this feature will cater to individual branding needs and improve the overall presentation of their professional accomplishments, supporting career advancement opportunities.

Acceptance Criteria

User wants to customize the display order of their certifications in the Certification Showcase Hub to prioritize their most important qualifications for potential employers.

Given a user has multiple certifications displayed in the Showcase Hub, when the user selects a certification and drags it to a new position, then the certification should be repositioned accordingly and the change saved automatically.

User wishes to toggle the visibility of specific achievements on their profile for privacy reasons before sharing their profile link with potential employers.

Given a user is in the Certification Showcase Hub, when the user selects an achievement and toggles the visibility option, then the achievement should hide from public view and this setting should persist until changed again.

User wants to change the layout of their Certification Showcase Hub to better suit their personal branding style.

Given a user is on the Certification Showcase Hub page, when the user selects a different layout option from the settings menu, then the certifications should rearrange based on the selected layout and ensure elements adjust responsively on different devices.

User needs to showcase only certifications from a certain category to emphasize their skills for a specific job application.

Given a user has multiple categories of certifications, when the user selects a category filter, then only the certifications belonging to that category should be displayed, with an option to reset filters available.

User wants to preview how their customizations in the Showcase Hub appear to other users before finalizing the changes.

Given a user is customizing their Certification Showcase Hub, when the user clicks the preview button, then an overlay should appear displaying their profile as it would be seen by the public, reflecting all current settings.

Achievement Sharing Feature

"As a user, I want to share my completed certifications on my social media profiles so that I can showcase my achievements and network with other professionals in my field."

Description

The Achievement Sharing Feature enables users to share their certifications and accomplishments directly from the Certification Showcase Hub to social media platforms and professional networks like LinkedIn. By facilitating easy sharing options, this requirement enhances the visibility of users' achievements beyond the SkillBlink platform, driving engagement and networking opportunities while promoting the learning experiences offered by SkillBlink. This feature aims to leverage users’ social connections, thereby increasing the platform's exposure and appeal in diverse professional circles.

Acceptance Criteria

User sharing a certification on LinkedIn from the Certification Showcase Hub.

Given the user has completed a certification, when they click on the 'Share on LinkedIn' button, then the certification post should be successfully created and visible on their LinkedIn profile.

User accessing social media sharing options for multiple certifications.

Given the user is on the Certification Showcase Hub, when they select multiple certifications and click 'Share', then sharing options for all selected certifications should be displayed, allowing users to choose where to share each certification individually.

User receives a confirmation message after sharing an achievement.

Given the user has shared a certification on a social media platform, when the share action is completed, then a confirmation message should appear indicating that the achievement has been successfully shared.

User edits the visibility of shared certifications on social media.

Given the user has shared multiple certifications on social media, when they go back to the Certification Showcase Hub and select 'Edit Visibility', then they should be able to change the privacy settings for each shared certification individually.

Potential employer viewing a user's shared certification on LinkedIn.

Given a potential employer views a user's LinkedIn profile, when they see the shared certification post, then the certification details should be displayed accurately and link back to the SkillBlink profile of the user.

User cancels a sharing action halfway through.

Given the user initiates a sharing action for a certification, when they click 'Cancel' before finalizing the share, then they should be redirected back to the Certification Showcase Hub without the certification being shared.

User shares a certification on multiple platforms simultaneously.

Given the user selects a certification to share from the Certification Showcase Hub, when they choose to share on multiple platforms at once, then the certification should be successfully posted to each selected platform without errors.

Mobile Optimization

"As a mobile user, I want to easily access and manage my certifications on my smartphone so that I can update my profile and showcase my achievements wherever I am."

Description

The Mobile Optimization requirement ensures that the Certification Showcase Hub is fully responsive and functional across various mobile devices. This feature will enhance user accessibility, allowing users to view and manage their certifications on-the-go, which is crucial in today's mobile-centric world. By prioritizing mobile usability, this requirement supports user engagement and makes it convenient for users to showcase their achievements anytime, anywhere, thereby promoting active use of the SkillBlink platform.

Acceptance Criteria

User accesses Certification Showcase Hub on a smartphone while commuting to check their certification details.

Given the user is logged into their SkillBlink account on a smartphone, when they navigate to the Certification Showcase Hub, then all certifications should be displayed correctly and legibly on the mobile screen without requiring horizontal scrolling.

User uploads a new certification from a tablet while at a coffee shop.

Given the user is using a tablet to access the SkillBlink platform, when they select the option to upload a certification, then the upload process should allow for easy navigation and completion without technical issues or errors during the mobile experience.

User tries to share their certification on social media using a mobile device.

Given the user has completed a certification and is accessing SkillBlink on their mobile device, when they select the share option, then they should be able to share their certification link on at least two different social media platforms seamlessly without formatting issues.

User revisits the Certification Showcase Hub after an update to check for new features.

Given the user has accessed the Certification Showcase Hub on a mobile device, when they navigate through the hub, then all new features (if any) introduced in the update should be evident and functional without any visual disruptions or lag.

User attempts to delete a certification from their mobile device.

Given the user is on their mobile device within the Certification Showcase Hub, when they choose to delete a certification, then the application should prompt a confirmation message, and upon confirmation, the certification should be removed instantly from their profile without any technical faults.

User receives a notification about a newly available certification on their mobile app.

Given the user has opted in for notifications from the SkillBlink mobile application, when a new certification becomes available, then the user should receive a push notification prompting them to view the new certification options within the Certification Showcase Hub.

User adjusts the display settings of their profile on a mobile device.

Given the user is accessing their profile on a mobile device, when they change the display settings of their Certification Showcase Hub (such as view layout or sorting options), then the changes should be reflected immediately without refreshing the page, ensuring responsiveness and user-friendliness.

Admin Analytics Dashboard

"As an administrator, I want to access analytics on user interactions with the Certification Showcase Hub so that I can understand engagement levels and improve user experience based on data-driven insights."

Description

The Admin Analytics Dashboard requirement provides SkillBlink administrators with tools to monitor and analyze usage metrics related to the Certification Showcase Hub. This feature will empower admins to gain insights into user engagement levels, popular certifications, and overall impact on user growth. By analyzing this data, SkillBlink can identify trends, enhance user experience, and optimize the platform's offerings to better serve the users’ needs, ensuring the community is engaged and actively participating in skill development.

Acceptance Criteria

Admin Access to Certification Showcase Hub Usage Metrics

Given an admin user accesses the Admin Analytics Dashboard, when they navigate to the Certification Showcase Hub section, then they should see a summary of total certifications earned, user engagement metrics, and average time spent on the showcase hub.

Detailed Analytics on Popular Certifications

Given the admin user is on the Admin Analytics Dashboard, when they filter the data by date range, then the dashboard should display a list of the top 5 most popular certifications based on user completions and engagements within that date range.

User Engagement Heatmap

Given the admin user is on the Admin Analytics Dashboard, when they switch to the engagement heatmap view, then they should see a visual representation of user activity throughout the week, with peak times clearly highlighted.

Exporting Analytics Data

Given the admin user has selected a specific time frame for analysis, when they click the export button, then the system should generate a downloadable report of all relevant analytics data in CSV format within 5 seconds.

Viewing Trend Analysis Over Time

Given the admin user accesses the Trend Analysis chart, when they select different time frames, then the chart should accurately update to reflect the certification completion trends over the selected periods.

Comparative Metrics for Different Certifications

Given the admin user is viewing the Analytics Dashboard, when they select two or more certifications to compare, then the system shall display comparative metrics, including completion rates and user satisfaction scores side by side.

Completion Rewards System

The Completion Rewards System incentivizes users to finish their certification paths by offering rewards such as badges, certificates, or exclusive access to advanced courses. This feature enhances motivation and engagement, making the learning experience more enjoyable while recognizing the user’s commitment to professional development.

Requirements

Reward Badge Design

"As a user, I want to receive visually appealing badges for completing my certification courses so that I can show my achievements and feel motivated to continue my professional development."

Description

The Reward Badge Design requirement focuses on creating visually appealing and customizable badges that can be awarded to users upon completing specific certification paths. These badges will serve as digital recognition of achievements and can be displayed on user profiles, motivating users to actively participate in courses and complete their learning objectives. The design process will involve creating a set of templates that can be easily tailored to match various milestones and skill acquisitions, ensuring that each badge accurately represents the user's achievements. By implementing this design, SkillBlink aims to enhance the user's sense of accomplishment and encourage ongoing engagement with the platform.

Acceptance Criteria

As a user of SkillBlink, I want to receive a visually appealing badge after completing a certification path so that I can display it on my profile as a testament to my achievement.

Given a user has completed a certification path, when the completion is recorded, then the system should generate and display a badge on their profile that reflects the specific achievement.

As a designer, I want to create customizable badge templates that can be adapted for various certification paths, so that we can maintain a consistent look while allowing for personalized recognition.

Given the designer accesses the badge creation feature, when they select a template and customize it, then the system should allow the designer to save the customized badge template for future use.

As a user, I want to be notified when I receive a new badge so that I can celebrate my accomplishment and share it with others.

Given a user has earned a badge, when the badge is awarded, then the system should send an instant notification to the user, including the details of the badge earned.

As an admin, I want to review and approve badge designs before they are made available to users so that we can ensure quality and consistency across all awarded badges.

Given a badge design is submitted for approval, when an admin reviews the design, then the system should allow the admin to approve or reject it, with clear feedback provided either way.

As a user, I want to filter and view badges I have earned based on different categories, so that I can easily navigate and showcase my achievements.

Given a user has multiple earned badges, when they access the badge viewing feature, then they should be able to filter badges by category (e.g., skill, course, achievement) and see the results immediately.

Certificate Generation

"As a user, I want to receive a digital certificate upon completing my certification path so that I can showcase my skills and achievements to potential employers."

Description

The Certificate Generation requirement will allow SkillBlink to automatically generate digital certificates for users upon completion of their certification paths. These certificates will include the user's name, course details, date of completion, and a unique verification code for authenticity. This functionality aims to provide users with a tangible acknowledgment of their efforts and accomplishments, which they can share on professional networks and include in their resumes. The implementation will involve integration with a document generation system to ensure that certificates are created seamlessly and can be easily downloaded or shared directly from the platform.

Acceptance Criteria

Certificate Generation for Course Completion

Given a user completes a certification path, when they navigate to their certification dashboard, then they should see an option to download a digital certificate with their name, course details, date of completion, and unique verification code.

Verification of Certificate Authenticity

Given a user has obtained a digital certificate, when the unique verification code is entered on the verification portal, then the system should display the user's name, course details, and completion date, confirming the certificate's authenticity.

Certificate Accessibility on Multiple Devices

Given a user completes a certification and generates a digital certificate, when they access their account on any device, then they should be able to view and download the certificate without any errors.

Email Notification for Certificate Generation

Given a user completes a certification path, when the digital certificate is generated, then an email notification should be sent to the user's registered email address containing the certificate and a download link.

Certificate Design Consistency

Given the design specifications for certificates, when the system generates a digital certificate, then the visual elements including logo, font, and layout should match the design specifications provided by the UI/UX team.

User Feedback Mechanism Post-Certificate Generation

Given a user has received their digital certificate, when they view their certificate, then an option should be provided to submit feedback regarding their certificate generation experience.

Tracking of Certificate Generation Events

Given the implementation of the certificate generation feature, when a certificate is generated for a user, then an event should be logged in the system analytics for tracking purposes.

Advanced Course Access Criteria

"As a user, I want to unlock advanced courses after completing certain requirements so that I feel prepared and confident in my ability to tackle more complex topics."

Description

The Advanced Course Access Criteria requirement will set specific thresholds that users must meet to gain access to advanced courses as part of the Completion Rewards System. These criteria may include the completion of prerequisite courses, meeting a certain proficiency level in assessments, or achieving a specific number of badges. By creating these criteria, SkillBlink will ensure that users are adequately prepared for more challenging content, thus enhancing their learning experience and overall satisfaction with the platform. The implementation will involve building an assessment algorithm that tracks user progress and determines eligibility for advanced courses based on defined parameters.

Acceptance Criteria

User completes all prerequisite courses and passes skill assessments, demonstrating readiness for advanced course enrollment.

Given the user has completed all prerequisite courses and has passed the skill assessments with a minimum score of 80%, when the user checks for course availability, then they should have access to the advanced courses relevant to their learning path.

User has earned a predetermined number of badges, reflecting their achievements and readiness for advanced learning.

Given the user has earned at least 5 badges from completed courses, when the user applies for advanced course access, then they should receive an approval notification to proceed with enrollment.

Numerical proficiency thresholds are established for different assessments to determine eligibility for advanced courses.

Given the user has completed assessments with scores that meet or exceed the defined proficiency thresholds, when they request access to advanced courses, then they should be granted access based on the defined criteria.

An algorithm tracks user progress and updates their eligibility status for advanced course access in real-time.

Given the user meets all the criteria for advanced course access, when they log into their account, then their eligibility status should be updated within 5 minutes of completion of the criteria.

User attempts to enroll in an advanced course without meeting the set criteria.

Given the user has not completed all prerequisite courses, when they try to enroll in an advanced course, then they should receive a denial message explaining the unmet criteria.

The system administrator modifies the thresholds for advanced course access criteria based on user feedback.

Given the admin logs into the dashboard, when they update the criteria and save, then the changes should reflect immediately on the user interface with no disruption of service.

The system evaluates and communicates eligibility status to the user at regular intervals (e.g. weekly).

Given the user engages with the platform regularly, when eligibility evaluations occur, then users should receive an email summary of their progress and any changes to their eligibility status for advanced courses.

Reward System Dashboard Integration

"As a user, I want a dashboard that shows my rewards and progress so that I can easily track my achievements and stay motivated to complete my certifications."

Description

The Reward System Dashboard Integration requirement will create a dedicated dashboard view where users can track their progress across different certification paths and view earned rewards. This dashboard will display badges earned, certificates received, advanced courses available, and milestones achieved, providing users with a comprehensive overview of their accomplishments. The integration aims to enhance user engagement by allowing users to visualize their journey and motivates them to reach their goals. This dashboard will require close collaboration with the UI/UX team to ensure an intuitive design that enhances the overall user experience.

Acceptance Criteria

User views the Reward System Dashboard after completing a certification path.

Given the user has completed at least one certification path, When the user navigates to the Reward System Dashboard, Then the dashboard should display the total number of badges earned, certificates received, and milestones achieved.

User earns a new badge upon completing a milestone in their certification path.

Given the user has achieved a milestone, When the user views the Reward System Dashboard, Then the new badge should be visible under the 'Badges Earned' section immediately after refreshing the page.

User accesses advanced courses available as rewards for completing certification paths.

Given the user has completed the required certification paths, When the user checks the 'Advanced Courses Available' section on the Reward System Dashboard, Then the list of accessible courses should be populated based on their completed certifications.

User receives a notification for earning a new certificate once a certification path is completed.

Given the user has just completed a certification path, When the notification system updates, Then the user should receive an alert indicating the new certificate earned, along with a link to view it in the dashboard.

User wants to track progress across multiple certification paths.

Given the user is enrolled in multiple certification paths, When the user opens the Reward System Dashboard, Then the progress towards each certification path should be displayed in a clear, visual format with completion percentages for each path.

User interacts with the UI elements of the Reward System Dashboard.

Given the user opens the Reward System Dashboard, When the user interacts with any UI element (buttons, tabs, etc.), Then all elements should respond correctly and with no noticeable delays or errors, ensuring a smooth user experience.

Notification System for Rewards

"As a user, I want to receive notifications when I earn new rewards so that I can celebrate my achievements right away and stay engaged with my learning path."

Description

The Notification System for Rewards requirement will develop a system that alerts users when they earn new rewards, including badges and certificates. This system will send notifications through email and in-app messages, keeping users informed of their achievements in real-time. The goal is to celebrate users' milestones immediately, enhancing the overall user experience and encouraging further engagement with the platform. Implementation will require integration with existing notification services and may involve user settings to manage notification preferences.

Acceptance Criteria

Users receive a notification immediately after they earn a badge for completing a certification path.

Given a user completes a certification path, when the system validates the completion, then the user should receive an in-app notification and an email alerting them of their earned badge.

Users can customize their notification preferences for the rewards system.

Given that a user is in the notification settings, when they select their preferred notification channels (email, in-app, SMS), then the system should save these preferences and apply them to future notifications about rewards.

Users receive a summary notification detailing all earned rewards at the end of each month.

Given that a month has passed, when the scheduled job runs to generate monthly summaries, then all users should receive an email summarizing the badges and certificates earned during that month.

Users who opt-out of email notifications do not receive any reward notifications via email.

Given a user chooses to opt-out of email notifications in their settings, when they earn a reward, then the system should not send an email notification to that user, but they should still receive in-app notifications if those are enabled.

Users can view a history of their notifications related to rewards.

Given that a user accesses their rewards history, when they click on the notifications section, then they should see a chronological list of all notifications regarding earned badges and certificates, including the date and type of reward.

Project Hub

The Project Hub serves as a centralized platform where users can initiate, manage, and collaborate on projects. This feature enhances organization by allowing teams to clearly define project goals, assign roles, and track progress, ensuring everyone is aligned and engaged in the collaborative effort.

Requirements

Project Creation Wizard

"As a project manager, I want a guided project creation process so that I can quickly set up new projects without overlooking important details."

Description

The Project Creation Wizard will enable users to easily initiate new projects through a step-by-step interface. This requirement allows users to define essential project details such as timelines, goals, and team members in a structured format. By guiding users through the setup process, the Project Creation Wizard fosters an efficient onboarding experience, encouraging proactive project management and ensuring that all necessary information is collected from the outset. This feature integrates seamlessly into the broader Project Hub, contributing to better organization and clarity throughout the project lifecycle.

Acceptance Criteria

User initiates the Project Creation Wizard from the Project Hub.

Given the user is on the Project Hub and clicks 'Create New Project', when the Project Creation Wizard opens, then the user should see step-by-step guidance with fields for project name, description, timeline, and team member assignments.

User fills in project details through the Project Creation Wizard.

Given the user is on Step 2 of the Project Creation Wizard, when the user enters a project name, description, selects a timeline, and assigns team members, then all entered data should be saved correctly and displayed in the summary step.

User submits the project through the Project Creation Wizard.

Given the user has completed all required fields in the Project Creation Wizard, when the user clicks 'Submit', then the project should be created successfully, and the user should receive a confirmation message with an overview of the project details.

User cancels the project creation through the Project Creation Wizard.

Given the user is in the Project Creation Wizard, when the user clicks 'Cancel', then the wizard should close without saving any project details and the user should be returned to the Project Hub without any error messages.

User revisits an ongoing project through the Project Hub after using the Project Creation Wizard.

Given the user has successfully created a project, when the user navigates back to the Project Hub, then the newly created project must be listed along with its correct status and details, ensuring it is accessible for further management.

User guides through the Project Creation Wizard with invalid data.

Given the user is in the Project Creation Wizard, when the user inputs invalid data (e.g., empty required fields, non-date values for timelines), then the proper validation messages should be displayed, preventing the user from proceeding to the next step.

Real-time Collaboration Tools

"As a team member, I want to collaborate in real-time with my colleagues so that we can work together more efficiently on our shared projects."

Description

Real-time Collaboration Tools will allow team members to communicate effectively within the Project Hub. Features such as chat, document sharing, and live editing will facilitate seamless interactions, enabling users to collaborate dynamically without needing to shift to external communication platforms. This integration enhances teamwork by providing a central space for discussion and document management, thereby boosting productivity and ensuring that communication logs are associated directly with the relevant projects.

Acceptance Criteria

Users can initiate a project and invite team members to collaborate using real-time collaboration tools within the Project Hub.

Given a user has created a new project, when they invite team members via the collaboration tool, then those team members should receive a notification and have the ability to join the project instantly.

Users can engage in real-time chat conversations while managing a project in the Project Hub without switching to external platforms.

Given team members are active in the Project Hub, when they send a chat message, then the message should appear immediately in the chat interface without any delay, and all participants should receive it in real-time.

Users can share and edit documents in real-time within the Project Hub, ensuring that all changes are tracked and visible to all collaborators.

Given a team member shares a document within the project, when another team member edits the document, then the changes should be visible to all collaborators in real-time along with an update showing who made the changes.

Users can maintain a log of all communications and document changes associated with each project for future reference.

Given a project is active, when team members exchange messages or make document edits, then these interactions should be automatically logged and accessible for review within the Project Hub.

Users can utilize a unified interface for project management, communication, and document sharing without needing to exit the Project Hub.

Given a user is working in the Project Hub, when they want to communicate or share documents, then they should be able to do so seamlessly within the same interface without navigating away from the platform.

Role Assignment and Permissions

"As a project manager, I want to assign roles and permissions to my team members so that I can control access and maintain project integrity."

Description

The Role Assignment and Permissions requirement will enable project managers to assign specific roles (e.g., admin, editor, viewer) to team members for better project governance. This feature allows for customizable permissions, ensuring that team members have appropriate access to resources based on their responsibilities. By controlling permissions, project owners can enhance data security, prevent unauthorized changes, and clarify accountability within project workflows, thus ensuring better management practices.

Acceptance Criteria

Project Manager assigns roles to team members during project setup.

Given a project manager is logged into the Project Hub, when they select a team member and choose a role (admin, editor, viewer), then the team member should receive a notification of their assigned role and permissions within the project.

Team member with admin role modifies project details.

Given an admin role is assigned to a team member, when they edit project goals and save changes, then those changes should be reflected immediately in the project overview for all team members.

Viewer role user attempts to edit project details.

Given a user with viewer role tries to access the project editing interface, when they attempt to make changes, then they should receive an error message indicating they do not have sufficient permissions to edit the project.

Project owner changes team member roles after project launch.

Given a project owner accesses the role assignment feature, when they change a team member's role from editor to viewer, then the team member's permissions should automatically update and limit access accordingly.

Report generation based on roles and permissions.

Given a project context, when the project manager generates a report of team roles, then the report should accurately reflect all active roles and associated permissions of each team member in the project.

Auditing role changes over time.

Given the auditing feature is enabled, when a role is changed for a team member, then a log entry should be created capturing the previous role, new role, date, and user who made the change.

Customizable role definitions and permissions.

Given default roles exist, when the project owner customizes a role's permissions, then those changes should persist across all projects using that role, and be reflected in the permissions settings.

Progress Tracking Dashboard

"As a project manager, I want a visual dashboard to track our project progress so that I can identify issues early and keep the team on schedule."

Description

The Progress Tracking Dashboard will provide users with a visual representation of project milestones, current tasks, and overall team performance. By aggregating data from various sources, this dashboard allows users to monitor project status and identify areas needing attention at a glance. Implementing this feature will improve transparency among stakeholders and foster accountability by making it easier to track contributions and deadlines, aligning team efforts towards project completion.

Acceptance Criteria

User views the Progress Tracking Dashboard after logging into the Project Hub to assess the current state of their ongoing projects.

Given the user is logged into the Project Hub, when they navigate to the Progress Tracking Dashboard, then they should see a visual representation of all active projects, including milestones, tasks, and overall team performance metrics.

A project manager updates task statuses and project milestones on the Progress Tracking Dashboard to track progress during a team meeting.

Given the project manager is on the Progress Tracking Dashboard, when they update the status of at least one task and one milestone, then the dashboard should reflect these updates in real-time for all team members viewing it.

A team member needs to identify areas needing attention in their project.

Given the team member is viewing the Progress Tracking Dashboard, when they look for areas needing attention, then they should be able to identify tasks marked as overdue or milestones that have not been completed.

Multiple stakeholders are viewing the Progress Tracking Dashboard to assess team contributions and project deadlines.

Given multiple stakeholders are logged in and viewing the Progress Tracking Dashboard, when they review the data, then they should see individual contributions highlighted and all deadlines clearly marked for each project.

A user seeks to download a report of project performance metrics from the Progress Tracking Dashboard for record-keeping purposes.

Given the user is on the Progress Tracking Dashboard, when they select the option to download a performance report, then they should receive a downloadable file containing project metrics in an accessible format (e.g., CSV or PDF).

The Progress Tracking Dashboard is accessed on multiple devices to ensure responsive design and accessibility.

Given the user accesses the Progress Tracking Dashboard on a tablet or smartphone, when they view the dashboard, then all elements should adjust appropriately for the screen size without loss of functionality or visibility.

A user wants to filter the tasks displayed on the Progress Tracking Dashboard by team member or due date to get a more focused view.

Given the user is on the Progress Tracking Dashboard, when they apply filters to view tasks by specific team members or set due dates, then the dashboard should update to display only the relevant tasks that meet the selected criteria.

Feedback and Ratings System

"As a team member, I want to provide feedback on our project outcomes so that I can contribute to improving our future projects."

Description

The Feedback and Ratings System will allow team members to provide input on project tasks and collaborate on performance assessments. This feature encourages a culture of continuous improvement, enabling users to share insights and experiences, which can be utilized to enhance future projects. Through structured feedback mechanisms, the system supports a transparent review process that can lead to greater satisfaction and personal development among teams.

Acceptance Criteria

Users can provide feedback on project tasks after completion.

Given a completed project task, When a user accesses the feedback section, Then the user should be able to submit their feedback, which is saved successfully.

Users can rate peers on their contributions to projects.

Given an open project, When a user views another user's contributions, Then the user should be able to assign a rating from 1 to 5 stars and submit it successfully.

Team leaders can view aggregated feedback and ratings for performance reviews.

Given a completed project, When the team leader accesses the performance review section, Then they should see a summary of feedback and ratings aggregated per team member for the project.

Users receive notifications for new feedback and ratings on their contributions.

Given a user has received feedback or a rating, When the feedback is submitted, Then the user should receive a notification of the new input within the application.

Users can edit their feedback within a specific time frame.

Given the user has submitted feedback, When the feedback is within a 24-hour editing window, Then the user should have the option to edit their feedback before the time expires.

The system tracks the history of feedback and ratings for each project.

Given a project with multiple feedback submissions, When the project history is accessed, Then all previous feedback and ratings should be displayed in chronological order.

Team Formation Tool

The Team Formation Tool utilizes AI to match users with complementary skills and interests for optimal project collaboration. By analyzing users’ profiles, this feature helps create well-balanced teams, fostering diverse perspectives and more effective problem-solving.

Requirements

User Profile Analyzer

"As a project manager, I want to analyze user profiles to identify the best potential collaborators for team assignments so that I can create balanced teams that enhance project success."

Description

The User Profile Analyzer is a critical component that evaluates user profiles to determine their skills, interests, and experiences. By leveraging machine learning algorithms, this feature will analyze input data to create an optimal skill matrix for each user. The analysis helps in effectively matching users based on complementary skills and interests, ensuring that team formations are not only balanced but also dynamically tailored to project requirements. The User Profile Analyzer integrates closely with the Team Formation Tool, helping to facilitate successful project collaboration by ensuring the right people come together at the right time, ultimately contributing to enhanced productivity and innovative problem-solving.

Acceptance Criteria

User Profile Analyzer processes multiple user profiles simultaneously to evaluate their skills, interests, and experiences for a new project.

Given a set of user profiles, when they are submitted to the User Profile Analyzer, then the system should output an accurate skill matrix for each user within 5 seconds.

User profiles are analyzed to match users for a specific project based on complementary skills.

Given a project requirement with specified skills, when the User Profile Analyzer evaluates the profiles, then it should return a list of users whose skills complement each other for that project.

The AI-driven analysis of user profiles leads to the formation of balanced teams for collaboration.

Given a submission of user profiles, when the analysis is complete, then the tool should create at least three different teams with a balanced mix of skills and interests for the selected project.

User profiles are updated and reanalyzed to reflect new skills and experiences.

Given that a user updates their profile with new skills, when the User Profile Analyzer runs again, then the output should reflect the updated skill matrix and suggest new team formations if applicable.

The User Profile Analyzer integrates with the Team Formation Tool to recommend optimal team formations.

Given a set of profiles analyzed by the User Profile Analyzer, when the data is sent to the Team Formation Tool, then the tool should generate team recommendations within 3 seconds based on the provided skill matrices.

Users receive feedback on their profiles after analysis by the User Profile Analyzer.

Given a user whose profile has been analyzed, when they access their profile, then they should be able to view a summary report that highlights their strengths and suggests possible skill improvements.

User Profile Analyzer maintains data security and user privacy while evaluating profiles.

Given the operation of the User Profile Analyzer, when it processes user data, then it should comply with data protection regulations, ensuring user data is anonymous and securely handled throughout the analysis process.

Dynamic Team Composition

"As a team leader, I want the ability to adjust team compositions based on real-time feedback and project needs so that I can maintain high performance and engagement throughout the project lifecycle."

Description

The Dynamic Team Composition feature allows the formation of teams based on real-time analysis of user profiles and project requirements. By continuously monitoring user skills and availability, this tool will enable the system to suggest team adjustments to optimize collaboration. This requirement ensures that teams are not only well-rounded at the start of a project but can also adapt during the lifecycle of the project as user involvement evolves, ensuring sustained productivity and collaboration. The integration of this feature will enhance user engagement, facilitate continuous feedback, and improve overall team dynamics, driving project success.

Acceptance Criteria

Dynamic Team Composition during Project Kickoff

Given a project with defined objectives and team roles, When the user submits their profile for team formation, Then the system should generate a team of at least three members with complementary skills and interests based on user inputs.

Real-time Skill Monitoring and Adjustment

Given ongoing project activities and fluctuating user availability, When a user becomes unavailable or gains new skills, Then the system should automatically suggest adjustments to the team composition to account for these changes within 5 minutes.

Feedback Loop for Continuous Team Improvement

Given a completed project phase, When team members provide feedback on team dynamics and individual contributions, Then the system should analyze this feedback and suggest potential skill development opportunities for the next project phase.

User Engagement Through Dynamic Notifications

Given a user’s profile and project progress, When there are significant changes to team composition or skills, Then the user should receive a notification about the changes and suggested resources for skills enhancement within 10 minutes.

Diversity Enhancement in Team Formation

Given a pool of users with various backgrounds, When the system forms a team for a project, Then at least 40% of the team members should come from different demographic backgrounds to ensure diverse perspectives.

Project Milestone Alignment

Given a scheduled project milestone, When evaluating team performance mid-project, Then the system should provide an analysis report on whether the current team composition aligns with the project's evolving needs and goals.

User Adoption and Satisfaction Tracking

Given the usage of the Dynamic Team Composition feature, When users complete a survey after project completion, Then at least 80% of respondents should express satisfaction with their team formation experience and the system’s suggestions.

Collaborative Feed and Feedback Loop

"As a team member, I want to provide and receive feedback from my peers throughout a project so that I can improve my skills and contribute more effectively to my team."

Description

The Collaborative Feed and Feedback Loop is an essential feature that allows users to interact, share insights, and provide feedback on collaborative projects. This tool encourages continuous communication within teams, promoting transparency and engagement among team members. Incorporating this feature creates a rich collaborative environment where users can share their experiences, suggestions, and learnings. Furthermore, it supports skill development by allowing team members to receive constructive feedback on their contributions. Integrating seamlessly with the Team Formation Tool, this feature aims to cultivate a culture of growth and continuous improvement, ultimately leading to higher job satisfaction and productivity.

Acceptance Criteria

Collaborative Project Kickoff Meeting

Given a new collaborative project has started, when a user accesses the Collaborative Feed, then they should be able to post an update about the project kickoff that is visible to all team members.

Receiving Feedback on Project Contribution

Given that a team member has contributed to a project, when they submit their work through the Collaborative Feed, then they should receive feedback from at least two other team members within 48 hours.

Sharing Insights During Project Workflow

Given an ongoing collaborative project, when a user shares an insight in the Collaborative Feed, then all team members should be notified of the new insight within 30 seconds.

Reviewing Team Performance Insights

Given a project is nearing completion, when a user accesses the Collaborative Feed, then they should be able to view a summary of team performance insights gathered during the project.

Continuous Engagement Over Project Timeline

Given a project spans multiple weeks, when a team member logs into SkillBlink, then they should see at least 3 new posts in the Collaborative Feed from their teammates since their last log in.

Skill Gap Identification

"As a user, I want to receive recommendations for learning resources based on my skill gaps so that I can improve my capabilities and increase my chances of successful collaboration in future projects."

Description

The Skill Gap Identification feature is designed to assess individual and team skill sets against the requirements of specific projects and roles. This capability will enable users to understand their strengths and weaknesses in relation to required skills, facilitating targeted learning and development paths. By identifying skill gaps, the system can recommend personalized learning modules or resources that align with individual and team goals, ultimately fostering a growth mindset. This feature will play a pivotal role in enhancing the skill development aspect of the platform, motivating users to take ownership of their professional growth while ensuring teams are equipped for success.

Acceptance Criteria

User initiates the skill gap identification process for their project team after assessing the project requirements.

Given a user selects a project and initiates the skill gap identification, when the system analyzes the team members' profiles against the project requirements, then it should display a detailed report highlighting individual and team skill gaps as well as the required skills for the project.

Team manager receives recommendations for personalized learning modules based on identified skill gaps from the assessment.

Given a skill gap report has been generated, when the system identifies skills that need improvement, then it should automatically suggest customized learning modules tailored to the users whose skills require enhancement.

User reviews their personal skill gap assessment results to plan their learning journey.

Given a user has completed their skill gap assessment, when they access their individual skill gap report, then they should see a clear comparison of their skills versus the required skills along with a suggested path for improvement.

A team leader wants to ensure all team members access recommended resources for closing skill gaps.

Given a set of recommended learning resources is generated from a skill gap analysis, when the team leader reviews the recommendations, then they should have the ability to assign specific resources to team members directly through the platform.

User wants to track their progress after completing recommended learning modules.

Given a user has completed the recommended learning modules, when they view their progress report, then it should reflect their skill improvements and any remaining gaps that still need to be addressed.

System generates a performance summary for users after addressing their skill gaps.

Given a user has worked on improving identified skill gaps, when the user requests a performance summary, then it should provide details on skills improved, learning modules completed, and recommendations for further development.

AI-Driven Team Matching Algorithm

"As a user, I want an AI-based system to match me with team members whose skills complement mine so that we can work together effectively on our projects."

Description

The AI-Driven Team Matching Algorithm is a sophisticated feature that uses complex algorithms to evaluate user skills, project requirements, and personality traits to generate optimal teams. This tool helps to ensure that user preferences and professional strengths align with project needs, thus speeding up the team formation process while ensuring compatibility and enhanced collaboration. By implementing this algorithm, SkillBlink will stand out from traditional team selection methods, offering a more personalized and intelligent approach to team dynamics. The result is increased efficiency and satisfaction during team projects, making the overall work experience more rewarding for users.

Acceptance Criteria

User initiates the team formation process by inputting project requirements and personal skill sets into SkillBlink.

Given a user provides project requirements and personal skill sets, when the AI-Driven Team Matching Algorithm is executed, then it should generate a team that includes individuals whose skills complement the project's needs within three seconds.

A user reviews the matched team recommendations provided by the algorithm.

Given the AI has processed the team formation, when the user views the recommended team members, then it should display at least three matched team members with their skills and personality traits that align with the project requirements.

Users provide feedback on the effectiveness of the AI-created teams after completing a project.

Given the project is completed, when users submit feedback through the post-project survey, then at least 75% of users should confirm that the team dynamic and skill match were satisfactory and enhanced their collaboration.

Admin monitors the usage statistics and effectiveness of the AI-Driven Team Matching Algorithm.

Given an admin accesses the analytics dashboard, when reviewing team formation metrics, then it should show at least a 30% increase in project completion rates for teams formed using the AI algorithm compared to those formed manually over the same time period.

New users sign up and complete their profile with skills and interests before using the team formation tool.

Given a new user signs up on SkillBlink, when they complete their profile with skills and interests, then they should receive immediate confirmation and a recommendation to use the Team Formation Tool to find potential teams for upcoming projects.

The AI-Driven Team Matching Algorithm adapts to user preferences and changing team dynamics.

Given that user preferences or project requirements have changed, when a user revisits the team formation tool, then the algorithm should adjust the team recommendations based on updated user profiles and preferences within seven seconds.

When a user has insufficient data to generate effective matches, the algorithm needs to handle this gracefully.

Given a user has incomplete profile information, when they attempt to use the Team Formation Tool, then the system should prompt them to complete their profile and explain why additional information is necessary for effective team matching.

Real-time Progress Tracking

"As a project manager, I want to track the progress of my team in real-time so that I can acknowledge contributions and adjust project timelines effectively."

Description

The Real-time Progress Tracking feature provides users and project managers with up-to-the-minute insights into project milestones and individual contributions. Users can easily view their progress on skill development, project tasks, and contributions within their teams. This transparency not only fosters accountability but also enhances motivation as users can see the direct impact of their efforts. Moreover, this feature will integrate with the Collaborative Feed and Feedback Loop, allowing team members to provide updates and receive recognition for their contributions dynamically, thus enhancing team morale and engagement.

Acceptance Criteria

User views their progress on skill development through the real-time progress tracking feature in the SkillBlink application.

Given the user is logged into SkillBlink, when they navigate to the progress tracking section, then they should see a visual representation of their skill development progress with percentage completion and milestone achievements clearly displayed.

Project managers review the project milestones and team contributions to assess overall project status and address any potential issues.

Given the project manager is logged in and on the project dashboard, when they access the real-time progress tracking feature, then they should see up-to-date metrics on project milestones, individual contributions, and team performance indicators.

Users receive notifications when their contributions to project tasks are recognized or when peers provide feedback through the Collaborative Feed.

Given a user has completed a task or received peer feedback, when they check their notifications in SkillBlink, then they should see a timely notification detailing the recognition or feedback received along with the contributor's name.

Users utilize the feedback loop to dynamically update their progress on team tasks and communicate their completion status to team members.

Given a user is working on a team task, when they update their task status in the feedback loop, then the change should be instantly reflected for all team members to see, with timestamps for each update.

Users analyze their progress statistics over a selected period to identify trends in skill development and project engagement.

Given the user selects a date range in the progress tracking feature, when they view the statistics, then they should see a report that includes graphs of skill trends, project engagement, and comparative data against their previous performance.

Mentors review their mentees' progress through the real-time progress tracking feature to provide personalized guidance.

Given a mentor is logged in and accesses the progress tracking interface for their mentee, when they view the report, then they should see a comprehensive overview of the mentee's achievements, challenges, and areas needing improvement.

Users provide input on the effectiveness of the real-time progress tracking feature through a feedback form after interacting with it.

Given a user has interacted with the progress tracking feature, when they complete and submit the feedback form addressing its usability and usefulness, then the feedback should be recorded in the system for future analysis.

Interactive Feedback Loops

Interactive Feedback Loops encourage users to provide ongoing feedback to each other throughout the project lifecycle. This feature promotes a culture of constructive criticism and continuous improvement, enhancing the quality of the final output while developing users' communication and analytical skills.

Requirements

Feedback Submission Interface

"As a team member, I want to easily submit feedback on my peer's work so that I can contribute to their growth and improve the overall quality of our project deliverables."

Description

The feedback submission interface enables users to easily provide feedback on each other's work throughout the project lifecycle. This interface will include a user-friendly form that allows users to input their comments, suggestions, and ratings on specific tasks or deliverables. It will be integrated into the SkillBlink platform, ensuring seamless access during collaboration sessions. The main benefit of this interface is to facilitate timely and constructive criticism, thus promoting continuous improvement among users. By making feedback submission straightforward, it enhances user engagement and encourages active participation in the learning process, ultimately leading to higher quality outputs and improved skill development.

Acceptance Criteria

Users are able to access the feedback submission interface within SkillBlink during collaborative project working sessions to provide constructive feedback to peers.

Given a user is logged into the SkillBlink platform, when they navigate to the project collaboration page, then they should see the feedback submission interface displayed prominently and accessible within the session.

Users must be able to input their feedback on specific tasks or deliverables using the submission interface.

Given a user is on the feedback submission interface, when they select a specific task or deliverable, then they should be able to input comments, suggestions, and select a rating on a scale of 1 to 5.

The system should allow users to submit their feedback successfully without errors.

Given a user has filled out the feedback form with comments and a rating, when they click the 'Submit Feedback' button, then the feedback should be successfully sent and a confirmation message should appear, indicating that the feedback has been received.

Users should be able to see a summary of their submitted feedback after submission.

Given a user has submitted feedback, when they navigate back to the task or deliverable, then they should see a summary of their previous feedback displayed clearly alongside the task details.

The system should ensure that feedback submissions are recorded in real-time to allow for timely communication among users.

Given multiple users are providing feedback on the same task, when a user submits their feedback, then all other users should be able to see the feedback in real-time without needing to refresh the page.

Users should receive notifications when new feedback is submitted to their tasks or deliverables.

Given a user is assigned to a task, when feedback is submitted on that task by another user, then the assigned user should receive a notification about the new feedback within the SkillBlink platform.

The feedback submission interface should be user-friendly and visually appealing to encourage user engagement.

Given a user is accessing the feedback submission interface, when they view the form layout, then they should find it intuitive and easy to understand, with clear labels and a straightforward submission process.

Real-time Feedback Notifications

"As a user, I want to be notified immediately when someone provides feedback on my work so that I can respond quickly and make improvements in real-time."

Description

Real-time feedback notifications alert users immediately when they receive feedback on their submissions. This feature will ensure that users are promptly notified through in-app alerts and email notifications, allowing them to engage with the feedback as soon as it is provided. The benefits of this requirement include fostering a culture of responsiveness, where users feel encouraged to address feedback quickly and make necessary adjustments to their work. The integration of real-time notifications will not only enhance communication among team members but also improve the learning and improvement cycle by ensuring that feedback is timely, relevant, and actionable.

Acceptance Criteria

User receives an in-app notification alert signaling that they have received new feedback on their project submission.

Given a user is logged into the SkillBlink platform, when feedback is submitted on their project, then they should receive an immediate in-app notification alerting them of the new feedback.

User receives a corresponding email notification when feedback is submitted on their project.

Given a user has opted in for email notifications, when feedback is submitted on their project, then an email notification should be sent to the user's registered email address containing the feedback details.

User interacts with the feedback notification and is directed to the relevant project submission.

Given the user receives an in-app notification about new feedback, when they click on the notification, then they should be redirected to the specific project submission where the feedback was provided.

User experiences a consistent notification timing across both in-app alerts and emails.

Given that feedback is submitted, when both in-app and email notifications are triggered, then both notifications should be received by the user within 5 minutes of feedback submission.

User can customize notification preferences for receiving feedback alerts.

Given a user accesses their notification settings, when they select their preferences for feedback notifications, then those preferences should be saved and applied for future notifications.

User can see a history of notifications received regarding feedback for their submissions.

Given a user clicks on a section to view notification history, when they access the feedback notifications section, then they should see a chronological list of all feedback notifications received.

Feedback Analytics Dashboard

"As a user, I want to view a dashboard that summarizes the feedback I've received so I can track my growth and understand where I need to improve."

Description

The feedback analytics dashboard provides users with insights into the feedback they have received over time, visually displaying trends in ratings and comments. This feature will aggregate feedback data into comprehensive reports that highlight areas of strength and opportunities for improvement. The dashboard will be accessible to both individual users and team leaders, empowering them to track progress in their skill development and overall performance. This requirement plays a crucial role in promoting self-awareness and proactive learning, enabling users to reflect on their growth journey and strategically focus on their areas of development based on constructive criticism received over time.

Acceptance Criteria

User accesses the feedback analytics dashboard to review their feedback over the past month after completing a project.

Given the user is logged into SkillBlink, when they navigate to the feedback analytics dashboard, then they should see a visual representation of feedback received in the last month, including ratings and comments.

Team leader reviews the feedback analytics dashboard for their team members to identify strengths and areas for improvement.

Given the team leader is logged into SkillBlink, when they access the feedback analytics dashboard, then they should be able to filter reports by individual team members and view their respective feedback summaries.

User wants to track their progress over different projects using the feedback analytics dashboard.

Given the user is on the feedback analytics dashboard, when they select a specific project from a dropdown menu, then the dashboard should display feedback-related metrics specific to that project, highlighting both positive and constructive feedback.

User receives a notification that new feedback has been submitted for them and wants to view it on the feedback analytics dashboard.

Given the user has received a notification for new feedback, when they go to the feedback analytics dashboard, then the latest feedback should be highlighted at the top of the feedback list with relevant dates and ratings.

Team leader assesses overall team performance by reviewing collective feedback trends over a defined time period.

Given the team leader is on the feedback analytics dashboard, when they select a time period for the team, then they should see aggregated feedback trends in a graphical format, indicating areas of strengths and opportunities for improvement for the entire team.

User wants to download a report of their feedback analytics for personal reflection.

Given the user is viewing their feedback analytics dashboard, when they click on the 'Download Report' button, then a comprehensive report in PDF format should be generated and downloaded, including all feedback and analytics they have received.

User seeks to compare their feedback scores across multiple projects to identify patterns in performance.

Given the user accesses the feedback analytics dashboard, when they choose the 'Compare Projects' option, then the dashboard must display side-by-side comparison of feedback metrics for the selected projects, including ratings and comments.

Guided Feedback Templates

"As a user, I want guided templates for providing feedback so that I can give constructive and helpful feedback to my peers without being uncertain about what to say."

Description

Guided feedback templates offer structured formats for users to provide feedback, ensuring that the feedback process is constructive and focused. These templates will include prompts and examples that guide users on how to give effective feedback on different aspects of work, such as clarity, completeness, and creativity. Incorporating this feature into SkillBlink enhances the quality of feedback shared among users, as it promotes consistency and depth in responses. Users will benefit from more actionable and thoughtful feedback, ultimately contributing to their learning experience and skill enhancement.

Acceptance Criteria

Guided Feedback Templates Usage During Peer Review Sessions

Given a user is engaged in a peer review session, when they select a guided feedback template, then the template should load with prompts relevant to the specific feedback type, enabling the user to provide structured feedback.

Customization and Selection of Feedback Templates

Given a user is on the feedback submission page, when they choose a guided feedback template from a list, then the selected template must accurately reflect the chosen category of feedback, ensuring appropriateness in feedback provided.

User Completion of Feedback Using the Template

Given a user selects a guided feedback template, when they fill out the template and submit their feedback, then the system should save the feedback in the submission history without any errors or omissions.

Feedback Quality Improvement Evaluation

Given multiple feedback submissions have been made using guided feedback templates, when the feedback is analyzed, then at least 75% of users should report a perceived improvement in the clarity and usefulness of the feedback they receive.

Template Pop-up for New Users

Given a new user accesses the platform for the first time, when they navigate to the feedback section, then an introductory pop-up should prompt them to explore guided feedback templates as part of their feedback learning process.

Frequency of Template Utilization Monitoring

Given the guided feedback templates are now implemented, when monitored over a three-month period, then at least 60% of all feedback submissions should utilize a guided feedback template, indicating user adoption and engagement.

Guided Template Accessibility Across Devices

Given a user accesses SkillBlink on different devices, when they reach the feedback section, then guided feedback templates should be accessible and function identically, ensuring consistency in the user experience.

Peer Feedback Rating System

"As a user, I want to rate the feedback I receive so that I can help improve the quality of feedback shared in the platform and recognize helpful contributions."

Description

The peer feedback rating system allows users to rate the quality of feedback provided by their peers, creating a culture of accountability and recognition. This system will involve a simple rating scale that users can utilize after receiving feedback, enabling them to indicate whether the feedback was helpful and relevant. This feature encourages users to reflect on the feedback they receive and share about their utility while promoting higher quality interactions. The integration of this system enhances the overall feedback experience and encourages users to be more thoughtful and constructive in their feedback contributions, fostering a positive and productive learning environment.

Acceptance Criteria

User ratings feedback after receiving peer comments to assess quality and relevance.

Given a user has received feedback from a peer, when they access the feedback section, then they must see a rating scale from 1 to 5 to evaluate the feedback quality.

The rating system provides users with the ability to leave comments on their ratings.

Given a user selects a rating for the feedback, when they submit their rating, then they must have the option to leave a comment explaining their rating.

Users can view aggregated feedback ratings on their feedback contributions to assess their performance.

Given a user wants to see the effectiveness of their feedback, when they check their feedback history, then they must view an average rating for all the feedback they have given in the last month.

A system prompt encourages users to rate feedback after a set period post-receiving feedback.

Given a user has received feedback, when 48 hours have passed without a rating, then they should receive a reminder notification to rate that feedback.

The rating system allows for anonymity to promote honest feedback.

Given a user submits a rating for feedback, when they select 'anonymous' in the rating options, then their identity must not be visible in the feedback summary.

Feedback ratings influence user profiles and contribute to overall user score metrics.

Given a user has received ratings on their feedback contributions, when these ratings are aggregated monthly, then they must reflect in their professional rating metrics on their profiles.

Users can filter feedback by rating to focus on high or low-quality feedback.

Given a user is viewing their feedback interactions, when they apply a filter, then they must be able to view only feedback that meets their rating criteria (e.g., 4 stars and above or 2 stars and below).

Feedback History Tracking

"As a user, I want to view my feedback history so that I can learn from past experiences and continuously improve my performance."

Description

Feedback history tracking allows users to review all the feedback they have received and provided over time, presenting a comprehensive view of their feedback interactions. This feature will create an archive of feedback exchanges, enabling users to revisit past comments and reflect on their responses. This capability is crucial for continuous learning, as it empowers users to track their improvement and apply learnings from previous feedback to current projects. Users will benefit from having a clear record of their exchanges, fostering a deeper understanding of their growth trajectory and skill development process.

Acceptance Criteria

Users access their feedback history to review comments provided on previous projects within a specified date range.

Given a user is logged into their SkillBlink account, when they navigate to the feedback history section and select a date range, then they should see all feedback received and provided within that date range displayed in a clear and organized manner.

Users attempt to categorize their feedback exchanges by tags to facilitate better searching and reflection.

Given a user is viewing their feedback history, when they add tags to feedback entries, then those tags should be saved and displayed alongside the respective feedback for easy identification in future searches.

Users want to view feedback comments sorted by the project to streamline their reviews.

Given a user is in the feedback history view, when they select a project filter, then the displayed feedback should only include entries related to the selected project and be sorted chronologically.

Users reflect on past feedback interactions to prepare for their next project.

Given a user reviews their feedback history, when they select a feedback entry, then they should see the full context of the feedback (including the project, date, and associated comments) and a summary of their response to that feedback.

Users receive notifications for new feedback entries related to their past projects.

Given a user has feedback associated with past projects, when new feedback is entered related to those projects, then the user should receive a notification within the application alerting them of the new feedback.

Users need to export their feedback history for personal records or sharing purposes.

Given a user is viewing their feedback history, when they choose to export their feedback, then they should receive a downloadable file (CSV or PDF) that contains all feedback interactions formatted correctly and including all relevant details.

Administrators need to monitor user engagement with the feedback history feature.

Given an administrator has access to analytics tools, when they view the engagement metrics for feedback history, then they should see the number of users accessing their feedback history and the frequency of interaction over a defined period.

Resource Sharing Library

The Resource Sharing Library allows users to easily share relevant materials, tools, and references within their project teams. By facilitating resource exchange, this feature enriches the collaborative experience and ensures that all team members have access to essential information that supports their work.

Requirements

Resource Upload Functionality

"As a team member, I want to upload resources to share with my colleagues so that we can all access the latest materials and collaborate more effectively."

Description

The Resource Upload Functionality enables users to easily upload and share various files, such as documents, videos, and links, with their project teams. This requirement is crucial for enhancing collaboration, as it ensures all team members have access to the latest and most relevant resources. The upload feature should support multiple file formats and provide a user-friendly interface for selecting and submitting files. Additionally, it should include version control to track updates and changes, fostering a streamlined resource-sharing environment that keeps everyone on the same page.

Acceptance Criteria

Uploading a resource file by a user in a project team during a team meeting.

Given a user is logged into SkillBlink, When the user navigates to the Resource Sharing Library and selects the 'Upload' option, Then the user can choose a file from their device and successfully upload it to the library with a confirmation message displayed.

Validating the support for various file formats during resource upload.

Given a user is logged into SkillBlink, When the user attempts to upload a file in unsupported format (e.g., .exe), Then the system should prevent the upload and display an error message indicating acceptable formats.

Accessing the uploaded resource by a different team member.

Given a file has been successfully uploaded to the Resource Sharing Library, When another team member logs into SkillBlink and accesses the library, Then they should see the newly uploaded resource listed with accurate details (name, upload date, version).

Tracking version control for uploaded resources.

Given a file is uploaded with a version number, When the user subsequently uploads a revised version of the same file, Then the system should create a new version entry while retaining the previous versions and allowing access to all.

Ensuring the user interface is intuitive for uploading resources.

Given a user visits the Resource Sharing Library, When they view the upload section, Then the interface should clearly display upload instructions, supported file formats, and a drag-and-drop area for easy file selection.

Receiving a notification upon successful upload of a resource file.

Given a user uploads a resource file to the library, When the upload is completed, Then the user should receive a notification confirming the successful upload via in-app alert and email.

Enforcing file size limitations during upload.

Given a user is attempting to upload a file, When the file exceeds the maximum allowed size limit (e.g., 10MB), Then the system should reject the upload and display an error message indicating the size limit.

Search and Filter Functionality

"As a project manager, I want to filter resources by category so that I can quickly find the materials I need for my team's current project."

Description

The Search and Filter Functionality allows users to quickly locate resources within the Resource Sharing Library. Users should have the ability to search by keywords, file types, and categories ensuring that they can efficiently find relevant materials without sifting through unrelated content. This feature should enhance the user experience by saving time and increasing productivity, enabling users to focus on their tasks rather than on searching for information.

Acceptance Criteria

User searches for a specific resource using a keyword in the Resource Sharing Library.

Given a user is on the Resource Sharing Library page, when they enter a keyword into the search bar and press 'Enter', then the system should display a list of resources that match the keyword, ensuring the results are relevant and accessible.

User filters resources by file type (e.g., PDF, Word, Excel) in the Resource Sharing Library.

Given a user is viewing the Resource Sharing Library, when they select a file type filter from the dropdown menu, then the system should refresh the resource list to only show items of the selected file type.

User filters resources by category in the Resource Sharing Library.

Given a user is on the Resource Sharing Library page, when they select a category (e.g., 'Marketing', 'Development') from the category filter, then the system should display only the resources that belong to the chosen category, ensuring no unrelated content is shown.

User combines keyword search with filters to find specific resources.

Given a user is in the Resource Sharing Library, when they enter a keyword and select multiple filters (file type and category), then the system should display a refined list of resources that meet all the specified criteria.

User views the details of a resource found through search or filter.

Given a user has located a resource in the Resource Sharing Library, when they click on the resource title, then the system should navigate to a detailed view of that resource, providing all pertinent information including description, file type, and download options.

User receives feedback when no resources match the search criteria.

Given a user has entered a keyword and applied filters in the Resource Sharing Library, when there are no matching resources, then the system should display a message indicating that no results were found, along with suggestions for broadening the search.

User resets search and filter criteria to view all resources.

Given a user has performed a search or applied filters in the Resource Sharing Library, when they click the 'Reset' button, then the system should clear all criteria and display the complete list of available resources.

Collaborative Commenting Feature

"As a user, I want to comment on resources shared by my peers so that I can provide feedback and engage in discussions with my team members."

Description

The Collaborative Commenting Feature allows users to leave comments or annotations on shared resources within the library. This feature is essential for facilitating discussions about specific materials and gathering feedback, thus fostering a more interactive learning environment. Users should be able to tag team members in comments to notify them, enhancing communication and ensuring valuable inputs are captured on key resources. This requirement aims to enrich the collaborative experience and improve the overall quality of shared knowledge.

Acceptance Criteria

A user is working on a project in the Resource Sharing Library and wants to provide feedback on a document shared by a team member.

Given the user has access to the Resource Sharing Library, when they select the document and enter their comment, then the comment is saved and visible to all team members with access to that document.

A user wants to tag a team member in a comment to attract their attention to specific feedback regarding a resource.

Given a user has entered a comment in the Resource Sharing Library, when they tag a team member using '@username', then the system sends a notification to that tagged user about the comment.

Users want to view all comments made on a resource to understand previous feedback and discussions.

Given a user accesses a document in the Resource Sharing Library, when they click on the 'View Comments' section, then all previously made comments should be displayed in chronological order with the date and user information included.

A user accidentally posts a comment and wants to delete it.

Given a user has posted a comment on a resource, when they choose the delete option on that comment, then the comment should be removed from the display and no longer visible to other users.

A user wants to edit a comment they previously made on a resource to clarify their feedback.

Given a user has authored a comment, when they select the edit option and make changes, then the updated comment should be saved and reflect the new content for all users.

A user needs to ensure that comments and feedback on key resources are visible in real-time as other users contribute to the discussion.

Given multiple users are commenting on the same resource, when a team member posts a new comment, then all users viewing that resource should see the new comment appear without needing to refresh the page.

Resource Categorization System

"As a user, I want to categorize my uploaded resources so that others can find them more easily within the library."

Description

The Resource Categorization System provides a structured way to organize shared resources into specific categories and tags, making navigation easier for users. This requirement focuses on the implementation of an intuitive system that allows users to classify their resources upon upload, as well as browse through existing categories to locate materials. By improving the organization of resources, users can find relevant content more quickly and have a clearer overview of available materials, leading to increased efficiency and productivity.

Acceptance Criteria

User uploads a new resource to the Resource Sharing Library.

Given a user has logged into the SkillBlink platform, When the user navigates to the Resource Sharing Library and uploads a resource, Then the user must be able to select at least one category and can add tags to the resource, and see a confirmation message indicating the upload was successful.

User searches for resources by category.

Given a user is in the Resource Sharing Library, When the user selects a category from the dropdown menu and clicks the search button, Then the system should return a list of resources that belong to the selected category, displayed with their associated tags.

User edits the category and tags of an existing resource.

Given a user is viewing their uploaded resources in the Resource Sharing Library, When the user selects a resource to edit, Then the user must be able to change the resource's category and tags and save the changes, which should be reflected immediately in the library.

User views the details of a resource including its category and tags.

Given a user is browsing resources in the Resource Sharing Library, When the user clicks on a resource to view its details, Then the resource's category and tags should be displayed prominently on the resource detail page along with an overview of the resource content.

User removes a resource from the Resource Sharing Library.

Given a user has uploaded a resource that they no longer wish to share, When the user selects the resource and chooses the delete option, Then the resource should be removed from the library and no longer visible to other users.

User accesses a list of all categories available in the Resource Sharing Library.

Given a user is accessing the Resource Sharing Library, When the user clicks on the categories section, Then the user can view a complete list of all available categories and the number of resources associated with each category.

User receives suggestions for resource categories based on previously uploaded resources.

Given a user is in the upload section of the Resource Sharing Library, When the user starts typing in the category field, Then the system should suggest relevant categories based on the user's previous uploads and commonly used categories.

Resource Feedback Mechanism

"As a user, I want to rate and review shared resources so that I can contribute to the quality assessment of the library's content."

Description

The Resource Feedback Mechanism allows users to rate and review resources they have accessed. This feature is intended to collect insights about the quality and usefulness of shared materials, which can inform future contributions and improvements. A rating system, coupled with an optional comment section, will enable users to express their opinions and help establish a standard for high-quality resources within the library. This feedback loop is crucial for maintaining an effective and relevant resource-sharing platform.

Acceptance Criteria

User Ratings and Reviews for Shared Resources

Given a user has accessed a shared resource, When they navigate to the feedback section, Then they can submit a rating from 1 to 5 stars and enter optional comments about the resource.

Visibility of Resource Ratings in the Library

Given resources have been rated by users, When a user views the Resource Sharing Library, Then they can see the average rating displayed next to each resource, along with the number of reviews.

Comprehensive Feedback for Resource Improvement

Given a user has submitted feedback, When the feedback is successfully saved, Then the user receives a confirmation message and the feedback is logged for future insights on resource quality.

Moderation of Feedback Entries

Given users can submit feedback, When inappropriate content is detected in a review, Then moderators are notified for review, and the feedback is marked for moderation.

User Notification for Feedback Responses

Given a resource author's interest in feedback, When a user submits a review, Then the resource author receives a notification summarizing the review and rating received.

Aggregation of Feedback to Enhance Library Quality

Given multiple ratings and reviews are collected for resources, When the Resource Feedback Mechanism is analyzed, Then a report is generated showing trends in resource usefulness and areas needing improvement.

Notifications for New Resources

"As a team member, I want to receive notifications about newly uploaded resources so that I can stay updated with the latest materials relevant to my projects."

Description

The Notifications for New Resources feature sends alerts to users whenever new materials are uploaded to the Resource Sharing Library. This requirement is essential for keeping team members informed about the latest contributions and ensuring they do not miss out on valuable resources. Users should be able to customize their notification preferences, selecting which categories or types of resources they wish to be notified about. This feature promotes engagement with the library and encourages users to actively participate in resource sharing.

Acceptance Criteria

User receives a notification via email when a new resource is uploaded to the Resource Sharing Library.

Given a user is subscribed to notifications, when a new resource is added to the library, then the user should receive an email notification within 5 minutes of the upload.

User customizes notification preferences for resource categories in their profile settings.

Given a user accesses their profile settings, when they select specific resource categories for notifications, then those preferences should be saved and applied to future uploads.

A user wants to receive notifications only for high-priority resources.

Given a user has chosen 'high-priority' as a notification preference, when a new high-priority resource is uploaded, then the user should receive a notification via their preferred method (email, app alert, etc.).

Users can view their notification history for new resources uploaded.

Given a user accesses their notification history, when they review past notifications, then they should see a list of all alerts received related to new resources, including timestamps and resource details.

A user opts out of receiving notifications and confirms the action.

Given a user selects the option to opt out of notifications, when they confirm this action, then they should no longer receive any notifications until they re-subscribe.

Team members can see who uploaded a new resource at the time of notification.

Given a resource has been uploaded to the library, when users receive a notification, then the notification should include the uploader's name and the resource title.

Users can test their notification settings by viewing a sample notification before finalizing their preferences.

Given a user is in the settings, when they select 'test notification', then they should receive a sample alert to their chosen notification channel to verify functionality.

Progress Tracking Dashboard

The Progress Tracking Dashboard provides real-time insights into each project’s status, allowing teams to visualize their progress and deadlines. This feature enhances accountability and ensures that users stay on track, promoting timely completion of projects while also cultivating time management skills.

Requirements

Real-Time Project Updates

"As a project manager, I want to receive real-time notifications about project updates so that I can quickly address issues and keep the team aligned."

Description

The Real-Time Project Updates requirement enables users to receive instantaneous notifications about changes in project status, team member contributions, and upcoming deadlines. This feature will be integrated within the Progress Tracking Dashboard, allowing users to stay informed without having to refresh or navigate away from the dashboard. By promoting transparency and immediate awareness of project shifts, this requirement enhances collaboration and helps mitigate potential delays. The effective implementation will empower users to proactively respond to updates, ensuring that projects remain on track and that accountability is upheld throughout the team.

Acceptance Criteria

User receives real-time project updates during a team meeting, enabling immediate discussion on project status changes.

Given that the user is logged into the Progress Tracking Dashboard, when any project status changes occur, then a notification should appear within 2 seconds on the dashboard.

A user assigned to a project receives a notification of changes made by another team member, allowing immediate response to the update.

Given that a team member updates their contribution to a project, when the update is saved, then all assigned users should receive a notification with details of the change within 5 seconds.

A user checks the dashboard for upcoming deadlines and receives alerts for projects that are approaching their deadlines.

Given a user is viewing the Progress Tracking Dashboard, when the project deadline is within 24 hours, then a warning notification should trigger, reminding the user of the deadline.

A user utilizes the dashboard to collaborate on a project and observes real-time updates to ensure all team members are on the same page.

Given that multiple users are viewing the same project dashboard, when one user makes an update, then all other users should see the update reflected on their dashboards within 3 seconds.

Users want to ensure that they do not miss important notifications about changes while the dashboard is open.

Given that a user is actively engaging with the Progress Tracking Dashboard, when a project update occurs, then the notification should be displayed prominently without interrupting the user's current task.

Customizable View Options

"As a user, I want to customize my dashboard view so that I can focus on the data that is most relevant to my work."

Description

The Customizable View Options requirement allows users to personalize their Progress Tracking Dashboard experience by choosing what project metrics are most relevant to them. Users can toggle between different visualization formats, such as graphs, lists, or kanban boards, and can save their preferred views for later use. This flexibility enhances user engagement and ensures that each individual can focus on the information that is most pertinent to their unique workflow and needs. Implementing this requirement will significantly improve user satisfaction and the overall utility of the dashboard.

Acceptance Criteria

User customizes their dashboard to focus on project deadlines and performance metrics after accessing the Progress Tracking Dashboard for the first time.

Given a user is logged into the Progress Tracking Dashboard, When they select 'Customize View', Then they should be able to choose from available project metrics including deadlines, status updates, and performance stats, and save their customized view successfully.

A user switches their dashboard view from a list format to a kanban board format to better visualize the progress of their projects during a team meeting.

Given a user is on the Progress Tracking Dashboard, When they toggle the view option from 'List' to 'Kanban', Then the dashboard should immediately refresh to display all projects in the kanban format without any errors.

A user revisits their customizable view after a day to check if their saved metrics and view format are retained and displayed correctly.

Given a user has previously saved their customizable view, When they log back into the Progress Tracking Dashboard, Then the user’s saved view including selected metrics and visualization format should be displayed as they left it.

A user tries to customize their dashboard by selecting multiple project metrics but encounters an error.

Given a user is on the 'Customize View' screen, When they select more than the allowable number of metrics (e.g., more than 5), Then a warning message should appear stating the limit of selectable metrics.

A user would like to print their customized dashboard view for a project review meeting.

Given a user is viewing their customized dashboard, When they select the 'Print' option, Then a print dialog should appear showing a print preview of the dashboard that includes all selected metrics in the current visualization format.

A user customizes their dashboard for the first time and wants to ensure that their changes reflect correctly in their account settings.

Given a user has customized their dashboard and saved the changes, When they access their account settings, Then the settings should reflect the customized view preferences set by the user.

A user shares their customized dashboard view with a teammate who is also on the SkillBlink platform.

Given a user has customized their dashboard view, When they select the 'Share View' option and send it to a teammate, Then the teammate should receive an email notification with a link to view the shared dashboard settings clearly.

Project Milestone Tracking

"As a team leader, I want to track project milestones visually so that I can assess progress and make adjustments as necessary to meet deadlines."

Description

The Project Milestone Tracking requirement involves adding a feature to the Progress Tracking Dashboard that enables users to create and monitor key project milestones. Users will be able to set specific targets within projects, allocate resources to these milestones, and track their completion status. By visualizing progress against these milestones, users can better understand their project's trajectory and make informed decisions regarding resource allocation and timeframe adjustments. This capability directly supports improved project management practices and helps ensure that teams achieve their objectives in a timely manner.

Acceptance Criteria

User creates a new project milestone within the dashboard.

Given a user is on the Progress Tracking Dashboard, when they select 'Add Milestone', then they should be able to input a milestone title, description, due date, and allocate resources to that milestone.

User views the created project milestones.

Given a user has created project milestones, when they navigate to the milestones section of the Progress Tracking Dashboard, then they should see all the created milestones listed with their details (title, description, due date, and completion status).

User updates the status of an existing project milestone.

Given a user is viewing their project milestones, when they select a milestone and change its status from 'In Progress' to 'Completed', then the milestone should update its status in real-time on the dashboard.

User receives notifications for upcoming milestone deadlines.

Given a user has milestones approaching their due dates, when the dates are within three days of the deadline, then they should receive a notification alerting them to the upcoming deadlines via email or dashboard alert.

User generates a report of milestone completion rates.

Given a user navigates to the reporting section of the Progress Tracking Dashboard, when they select 'Generate Milestone Report', then they should receive a downloadable report showing milestone titles, due dates, completion status, and overall completion percentage of their projects.

User collaborates on a project milestone with team members.

Given a user has created a project milestone, when they invite team members to collaborate on that milestone, then those members should receive an invitation and be able to view and edit the milestone details.

Collaborative Feedback System

"As a team member, I want to give and receive feedback on projects directly from the dashboard so that we can improve our work processes together."

Description

The Collaborative Feedback System requirement introduces a structured way for team members to provide comments and suggestions directly within the Progress Tracking Dashboard. This feature facilitates ongoing communication about project tasks, allowing team members to address challenges and celebrate achievements in real time. The integrated feedback loop fosters a collaborative work environment, encourages open dialogue, and enhances team cohesion. By making feedback easily accessible and trackable, this requirement aims to boost overall team performance and project outcomes.

Acceptance Criteria

Team members access the Collaborative Feedback System within the Progress Tracking Dashboard to provide real-time feedback on ongoing project tasks during a team meeting.

Given that a team member is accessing the Collaborative Feedback System during a team meeting, when they enter their feedback, then the feedback must be visible to all team members within one minute and record the timestamp of the submission.

A project manager reviews feedback submitted by team members on the Progress Tracking Dashboard to identify areas for improvement and acknowledge achievements.

Given that the project manager accesses the dashboard, when they view the feedback section, then all feedback entries must display the contributor’s name, feedback content, and submission timestamp appropriately.

A team member receives a notification when new feedback has been added to a project task they are involved in.

Given that a feedback entry is submitted regarding a task, when the entry is updated, then all team members assigned to that task must receive an email notification within five minutes of the feedback submission.

The Collaborative Feedback System allows users to reply to existing feedback to encourage further discussion.

Given that a team member views feedback on a task, when they select the reply option and submit their response, then their reply must be displayed directly under the original feedback entry, retaining the visual threading of conversation.

A team member uses the search function to find specific feedback related to their current project.

Given that a team member is on the Progress Tracking Dashboard, when they input keywords related to feedback in the search bar, then the system must return relevant feedback entries that match the search terms within three seconds.

The Collaborative Feedback System tracks the historical changes made to feedback and replies for accountability.

Given that a feedback entry is edited or replied to, when the user views the feedback history, then the system must display the original feedback, all modifications, and related timestamps in a chronological order.

Automated Progress Reports

"As a project stakeholder, I want to receive automated progress reports so that I can stay informed about project status without needing to check manually."

Description

The Automated Progress Reports requirement allows users to receive periodic, automatically generated reports on their projects' progress. These reports can summarize completed tasks, outstanding issues, and upcoming deadlines, and can be scheduled for delivery via email or accessible within the dashboard. This feature alleviates the manual effort of compiling progress information and provides stakeholders with a clear, concise overview of project status. By ensuring that relevant parties stay informed, this requirement enhances transparency and accountability within project teams, facilitating better decision-making.

Acceptance Criteria

Automated Progress Report Generation after Task Completion

Given a user has completed a task within a project, when the task is marked as complete, then an automated progress report should be generated summarizing the completed task, outstanding issues, and upcoming deadlines.

Email Delivery of Progress Reports

Given a user has scheduled a progress report for email delivery, when the scheduled time arrives, then the user should receive an email containing the automated progress report for their projects.

Dashboard View of Automated Progress Reports

Given a user is logged into their SkillBlink account, when they navigate to the Progress Tracking Dashboard, then they should see a section labeled 'Automated Progress Reports' that displays the latest report for each project with relevant details.

Customizable Report Frequency Options

Given a user is configuring their progress reports, when they select their report frequency options, then they should be able to choose from daily, weekly, or monthly report schedules.

Actionable Insights in Progress Reports

Given an automated progress report has been generated, when the report is viewed by a user, then it should highlight any outstanding issues and recommend actions for resolution.

Access to Archived Progress Reports

Given progress reports are generated periodically, when a user navigates to the dashboard, then they should have the option to access archived progress reports from previous time periods.

Mobile Accessibility of Progress Reports

Given a user is utilizing the SkillBlink mobile application, when they access the Progress Tracking Dashboard, then they should be able to view their automated progress reports in a user-friendly format.

Integration with Communication Tools

"As a team member, I want to integrate my dashboard with my communication tools so that I can stay updated on project changes without leaving the platform I use daily."

Description

The Integration with Communication Tools requirement focuses on enabling connections between the Progress Tracking Dashboard and popular communication platforms such as Slack, Microsoft Teams, and email. This feature will allow users to seamlessly share project updates, receive notifications, and engage in discussions without leaving the dashboard. The integration will enhance workflow efficiency by reducing the need to switch between applications and ensuring that all team members remain connected and informed of project developments in real time.

Acceptance Criteria

Integration of Slack with the Progress Tracking Dashboard for project updates and notifications.

Given I have integrated Slack with the Progress Tracking Dashboard, When a project update is made, Then a notification should be sent to the relevant Slack channel with the updated details.

Integration of Microsoft Teams for seamless communication about project timelines and status.

Given I have integrated Microsoft Teams with the Progress Tracking Dashboard, When a user comments on a project, Then the comment should be posted in the relevant Microsoft Teams channel for visibility.

Integration with email to notify users about important project deadlines and milestones.

Given I have enabled email notifications for the Progress Tracking Dashboard, When a project milestone is reached, Then an email should be sent to all relevant team members informing them of the milestone.

User testing of real-time notifications for project updates across communication platforms.

Given I am a user of the Progress Tracking Dashboard, When a project update occurs, Then I should receive real-time notifications on Slack, Microsoft Teams, and via email without delays.

Verification of notification settings customization for different communication tools.

Given I am on the notification settings page of the Progress Tracking Dashboard, When I customize my notification preferences, Then my selected preferences should be saved and applied to future project updates across all integrated communication tools.

User satisfaction measurement for the integration feature post-launch.

Given the communication tools integration feature is launched, When users provide feedback on their experience, Then at least 80% of feedback should indicate satisfaction with the ease of use and effectiveness of the integration.

System performance testing during peak usage times after integration with communication tools.

Given the Progress Tracking Dashboard is fully integrated with communication tools, When the system experiences peak usage, Then the dashboard should maintain response times of under 2 seconds for all user interactions related to project updates and notifications.

Reflective Review Sessions

Reflective Review Sessions enable teams to conduct post-project evaluations to discuss successes, challenges, and lessons learned. This feature fosters a growth mindset among users by encouraging them to reflect critically on their experiences, thereby continually enhancing their skill sets and collaborative abilities.

Requirements

Session Scheduling

"As a team leader, I want to schedule Reflective Review Sessions easily so that my team can consistently engage in constructive feedback and improvement discussions after completing projects."

Description

This requirement allows users to schedule Reflective Review Sessions with their teams or mentors seamlessly. It should integrate with existing calendar systems to enable easy selection of available times and send automated reminders to participants. The benefit of this feature is that it ensures regular touchpoints for team reflection, promoting a culture of continuous improvement and collaboration. By simplifying the scheduling process, it increases participation and enhances the overall effectiveness of the review sessions.

Acceptance Criteria

User schedules a Reflective Review Session with their team for the first week of the project, selecting a date and time that aligns with everyone’s availability.

Given a user accesses the scheduling feature, when they select an available date and time, then the system should automatically save the session and notify all participants via email.

A user attempts to schedule a Reflective Review Session but finds all available times conflicting with existing calendar appointments.

Given the user has existing appointments, when they try to schedule the session, then the system should display a message indicating the conflict and suggest alternative time slots.

The system sends automated reminders for the scheduled Reflective Review Session to ensure all participants are informed ahead of time.

Given a Reflective Review Session is scheduled, when the reminder is triggered 24 hours before the session, then each participant should receive an email reminder with session details.

A participant wants to reschedule the Reflective Review Session due to a personal conflict after it has been scheduled.

Given a participant needs to reschedule, when they request a new date and time, then the system should allow them to select a new time from available slots and notify all participants of the change.

A team member reviews their calendar to ensure they have accepted the invitation for the Reflective Review Session.

Given the Reflective Review Session has been invited, when the team member checks their calendar, then they should see the session listed on their schedule with the correct date and time.

A user accesses the Reflective Review Session scheduling feature during a project kickoff meeting.

Given the user is in a project kickoff meeting, when they use the scheduling feature, then they should be able to view and select the dates and times available to all team members in real-time.

Session Documentation Tool

"As a team member, I want to document insights from Reflective Review Sessions so that I can reference them later and keep track of our team's growth and learning."

Description

Implement a documentation tool that allows users to record insights, feedback, and key takeaways from their Reflective Review Sessions. This feature will assist users in cataloging discussions for future reference, tracking action items, and ensuring that valuable lessons learned are not lost. The ability to document sessions will reinforce accountability and serve as a resource for continuous development within teams, thereby fostering a knowledge-sharing culture.

Acceptance Criteria

Session Documentation Tool Usage for Reflective Review Sessions

Given a user is in the Reflective Review Session, when they access the Session Documentation Tool, then they should be able to create and save a new entry with insights and key takeaways from the discussion.

Access Control for Documentation Entries

Given a user has created a documentation entry, when another user attempts to view that entry, then the system should verify access permissions and show the entry only to authorized users.

Tracking Action Items from Sessions

Given a user documents action items during a Reflective Review Session, when they save the session notes, then the action items should be tracked and listed for follow-up in the next team meeting.

Search Functionality for Past Documented Sessions

Given a user wants to review previous Reflective Review Sessions, when they utilize the search feature in the Session Documentation Tool, then they should be able to retrieve specific sessions based on keywords or session dates.

Notification for Upcoming Follow-up Actions

Given a user has documented action items in a Reflective Review Session, when the follow-up deadline approaches, then the user should receive a notification reminding them to complete the action items.

User-Friendly Interface for Documentation Input

Given a user is documenting insights and feedback, when they use the documentation tool, then the interface should allow for easy input with text formatting options and the ability to add tags to categorize entries.

Feedback Aggregation System

"As a project manager, I want to receive a summarized report of feedback from Reflective Review Sessions so that I can identify trends and implement strategies to improve team performance."

Description

Develop a system that aggregates feedback from all participants in the Reflective Review Sessions into a summarized report. This system should highlight common themes, successes, and areas for improvement identified during the sessions. This consolidated feedback will provide valuable insights for team leaders and developers to enhance future project performance and facilitate targeted training initiatives. The aggregation of feedback will streamline the review process and support data-driven decision-making.

Acceptance Criteria

The development team conducts a Reflective Review Session after the completion of a project, during which they gather feedback from all participants regarding their experiences and the project's outcomes.

Given that the Reflective Review Session has concluded, when feedback from all participants is submitted, then the Feedback Aggregation System should compile a summary report highlighting at least three common themes identified across the feedback.

After compiling feedback, team leaders need to quickly assess the effectiveness of the recent project based on the summarized feedback report generated from the feedback aggregation system.

Given that the summary report is generated, when the team leader accesses the report, then they should see clearly categorized sections for successes, challenges, and suggestions for improvement, with at least 80% of feedback addressed in the report.

Team members wish to revisit insights gained from previous Reflective Review Sessions to improve their skills and collaborate effectively in future projects.

Given that the Feedback Aggregation System stores feedback from multiple sessions, when users access historical reports, then they should be able to retrieve and browse at least the last five summarized reports, and the reports should be easily accessible via a filter option by date.

During the Reflective Review Session, participants express diverse opinions, and the facilitator wants to ensure that all perspectives are represented in the summary report.

Given that multiple feedback sources are aggregated, when the report is generated, then no more than 10% of responses from a single participant category (e.g., developers, project managers) should dominate any section of the report to ensure balanced representation.

Team leaders require actionable insights from the feedback to facilitate targeted training sessions focused on the areas needing improvement identified in the Reflective Review.

Given the summary report produced by the feedback aggregation system, when team leaders review the report, then they should find at least three actionable training recommendations based on the themes of improvement identified in team feedback.

The organization seeks to evaluate the overall effectiveness of the Reflective Review Sessions across different teams to enhance future projects.

Given that feedback aggregation is completed, when an overview report is requested, then it should present analytical data showing average satisfaction ratings and common themes across all Reflective Review Sessions for the past quarter.

Skill Improvement Tracker

"As a user, I want to track my skill improvement goals based on insights from Reflective Review Sessions so that I have a clear path to advance my career and skillset effectively."

Description

Introduce a feature that allows users to track the skills they aim to develop as a result of insights gained from Reflective Review Sessions. This tracker should integrate with personalized learning paths in SkillBlink, allowing users to align their learning objectives with outcomes from their sessions. This feature will support users in establishing specific goals for skill enhancement and provide a visual progression path as they complete relevant learning modules, fostering accountability and motivation.

Acceptance Criteria

User accesses the Skill Improvement Tracker after a Reflective Review Session to document their skills goals and objectives.

Given the user has completed a Reflective Review Session, when they access the Skill Improvement Tracker, then they should be able to create, edit, and delete skill goals associated with that session.

User receives personalized course recommendations based on the skill improvement goals they set in the Tracker after a Reflective Review Session.

Given the user has set their skill improvement goals, when they refresh their learning path, then the system should provide course recommendations that align with their selected goals.

User is able to view and track their progress over time in the Skill Improvement Tracker after completing relevant learning modules.

Given the user has completed a learning module related to their skill goals, when they check the Skill Improvement Tracker, then their progress should be visually updated to reflect the completion of that module and the corresponding skill level advancement.

Team leader reviews aggregated skill improvement data from all team members after Reflective Review Sessions to assess overall team development.

Given the team leader queries the Skill Improvement Tracker, when looking at team data after several Reflective Review Sessions, then they should receive a comprehensive report showing progress on skill goals set by each team member.

User receives notifications to encourage them to complete skills progression tasks in the Tracker.

Given the user has pending tasks in their Skill Improvement Tracker, when the scheduled notification time arrives, then the user should receive an actionable reminder to engage with their learning modules or update their progress.

User integrates feedback from mentor interactions into their skill improvement goals in the Tracker.

Given the user has interacted with a mentor, when they access the Skill Improvement Tracker, then they should be able to add feedback received from the mentor as new inputs to adjust their skill goals appropriately.

User can access the Skill Improvement Tracker on multiple devices without losing data or progress.

Given the user updates their skill goals on one device, when they log into the Skill Improvement Tracker on another device, then all changes should be synced and accurately reflected across both devices.

Peer Review Integration

"As a team member, I want to receive anonymous peer feedback during Reflective Review Sessions so that I can gain constructive insights and improve my collaboration skills."

Description

Implement an integration feature enabling peers to participate in Reflective Review Sessions by providing anonymous feedback on each other's contributions, efforts, and teamwork. This will promote a safe space for honest critique and learning from each other’s perspectives. By including peer input, it enhances trust and openness in teams, allowing for a more balanced assessment of team dynamics and individual contributions, leading to holistic growth and improvement.

Acceptance Criteria

Anonymous Peer Feedback Submission during Reflective Review Sessions

Given a user is participating in a Reflective Review Session, when they provide anonymous feedback on a peer’s contribution, then the feedback should be successfully submitted and stored in the system without revealing the user's identity.

Visibility of Peer Feedback in the Reflective Review Session

Given feedback has been submitted by peers, when the Reflective Review Session is in progress, then users should be able to view the aggregated anonymous feedback without identifying individual contributors.

User Notifications for Received Feedback

Given a user receives feedback from peers post-Reflective Review Session, when they log into SkillBlink, then they should receive a notification summarizing the feedback they have received from their peers.

Feedback Analysis Table in the Review Summary Report

Given a Reflective Review Session is completed, when the summary report is generated, then the report should include a section that analyzes the peer feedback provided, highlighting common themes and areas for improvement.

Integration with Existing Collaborative Tools

Given the need for seamless interaction, when users utilize Reflective Review Sessions, then the system should integrate with at least two common collaborative tools (e.g., Slack, Microsoft Teams) to allow notification and discussion of peer feedback directly within those tools.

Facilitation of Discussion Based on Feedback

Given the completion of a Reflective Review Session, when users review the feedback received, then the session facilitator should lead a guided discussion based on the feedback to promote deeper understanding and team improvement.

Customization of Feedback Questions

Given the need for targeted feedback, when setting up a Reflective Review Session, then the facilitator should have the option to customize the questions that peers will respond to for feedback.

Skill Development Tracker

The Skill Development Tracker monitors individual contributions to collaborative projects, assessing skills gained and areas for improvement. This feature empowers users to visualize their growth through project participation, providing motivation for ongoing engagement in collaborative initiatives.

Requirements

Real-time Progress Dashboard

"As a user, I want to see a real-time dashboard of my skill development so that I can monitor my progress and identify areas for improvement."

Description

The Real-time Progress Dashboard provides users with a visual representation of their skill development over time. This requirement entails the integration of intuitive graphics and data analytics that showcase individual contributions to collaborative projects. Users will be able to filter their skills by project, timeframe, and milestones, gaining insights into what skills they have acquired and what areas need improvement. The dashboard will drive user engagement by making skill development transparent and motivating, ultimately contributing to continuous professional growth on the SkillBlink platform.

Acceptance Criteria

As a professional using the Skill Development Tracker, I want to visualize my skill development progress through a Real-time Progress Dashboard that aggregates data from all my collaborative projects over the past year, so that I can identify areas where I have improved and where I need further development.

Given that I am on the Real-time Progress Dashboard, when I filter my skills by project and select 'Collaborative Research', then I should see a visual representation of my contributions and skill gains associated with that project within the last year.

As a user of SkillBlink, I want to be able to filter my skill development data by timeframe, so that I can analyze my progress during specific periods, such as quarterly reviews or after completing training programs.

Given that I am viewing the Real-time Progress Dashboard, when I select a specific timeframe, such as 'Last 3 Months', then I should see updated charts and metrics that only display my skill development and contributions during that selected period.

As a user, I want the Real-time Progress Dashboard to visually highlight my milestones achieved in skill development, so that I can easily track when I reached significant goals along my career journey.

Given that I am on the Real-time Progress Dashboard, when I select the view option to include milestones, then all relevant milestones achieved in my skill development timeline should be clearly marked and visually distinct on the dashboard.

As a professional using SkillBlink, I want to receive notifications when I reach specific milestones in my skill development, so that I can celebrate my achievements and stay motivated.

Given that I am logged into SkillBlink and have the Real-time Progress Dashboard open, when I achieve a milestone in skill development, then I should receive a real-time notification highlighting this achievement as well as suggested next steps for further development.

As a user, I want the Real-time Progress Dashboard to provide insights into my skills that need improvement after analyzing my contributions across projects, so that I can create focused development plans.

Given that I am reviewing the Real-time Progress Dashboard, when I reach the summary section, then I should see a detailed breakdown of my skills, highlighting those with below-average performance relative to my peers, along with suggested resources for improvement.

As a user seeking to share my progress with a mentor, I want the ability to export my dashboard reports, so that I can efficiently prepare for discussions regarding my skills and progress.

Given that I am on the Real-time Progress Dashboard, when I select the export option, then I should be able to generate a downloadable report that includes my skill development metrics, milestones, and notable achievements from the specified timeframe.

Skill Assessment Integration

"As a user, I want to take skill assessments before and after projects so that I can better understand my skill growth and identify areas for future development."

Description

The Skill Assessment Integration allows users to participate in interactive skill assessments that dynamically evaluate their abilities before and after collaborative projects. This requirement focuses on developing an algorithm that assesses skills contextually, providing feedback that helps users understand their strengths and opportunities for growth. These assessments will be seamlessly integrated into the Skill Development Tracker, enabling users to track their performance and skill acquisition more accurately. The capability is crucial for promoting a culture of self-assessment and continuous improvement among users.

Acceptance Criteria

User completes a collaborative project and accesses the Skill Assessment Integration feature to evaluate their skills before and after project participation.

Given the user has completed a project, when they access the Skill Assessment Integration, then they should receive a detailed report comparing their skill levels before and after the project, including strengths and areas for improvement.

User initiates an interactive skill assessment within the Skill Development Tracker after a collaborative project.

Given the user initiates a skill assessment, when they complete the assessment, then they should receive feedback on their performance that is reflective of their contributions during the project, outlining skill gains and areas requiring improvement.

User wants to review their skill progression over multiple collaborative projects using the Skill Development Tracker.

Given the user accesses their Skill Development Tracker, when they view their historical skill assessment data, then they should see a clear visual representation of their skill growth and development trends over time across different projects.

An admin configures the skill assessment algorithm criteria to align with the project's objectives and expected outcomes.

Given the admin accesses the Skill Assessment Integration settings, when they adjust the criteria for skill assessments, then the changes should be saved and reflected in the user assessments within 24 hours of modification.

User receives a notification about their skill assessment results after completing an interactive assessment.

Given the user completes an interactive skill assessment, when the assessment results are generated, then the user should receive a notification via email and within the platform detailing their performance and personalized improvement suggestions.

User engages with peer feedback following the release of their skill assessment results.

Given the user has received their skill assessment results, when they access the feedback section, then they should be able to read and respond to comments from their peers regarding their identified strengths and improvement areas.

Mentorship Matching System

"As a user, I want to be matched with a mentor who can help me develop specific skills so that I can accelerate my learning and career growth."

Description

The Mentorship Matching System is designed to connect users with potential mentors based on their skill development needs and professional goals. This requirement includes creating a matching algorithm that takes into account user profiles, desired skills, and current expertise. By fostering relationships between mentors and mentees, this feature will enhance the collaborative learning experience on SkillBlink. It will motivate users to engage further in collaborative projects knowing they have access to knowledgeable mentors who can guide their skill development.

Acceptance Criteria

Mentorship matching based on user profiles and skill needs.

Given a user has completed their profile with specific skills and interests, when they request a mentor, then the system should return a list of at least three mentors whose expertise aligns with the user's specified skill development needs.

New users receive mentorship recommendations upon registration.

Given a new user registers on the platform and completes the initial skill assessment, when they access the mentorship page, then they should see personalized mentorship recommendations based on their assessment results.

Mentor feedback on mentee progress is recorded.

Given a mentor has been matched with a mentee, when the mentor provides feedback on the mentee’s progress through the platform, then the system should log the feedback and make it accessible to the mentee for future reference.

Users can update their skill needs and goals.

Given a user has been matched with a mentor, when they decide to update their skill development goals through their profile, then the system should automatically suggest new mentors that match the updated goals.

System analyzes mentorship effectiveness based on user feedback.

Given that a mentorship session has taken place, when participants submit their feedback on the effectiveness of the mentorship, then the system should generate a report highlighting satisfaction levels and recommend improvements for future mentoring matches.

Mentorship sessions can be scheduled through the platform.

Given a mentee has identified a mentor, when they attempt to schedule a session, then the system should allow them to pick a time from the mentor's available slots and confirm the session in both users' calendars.

Customizable Certification Programs

"As a user, I want to create a personalized certification program to track my skill development so that I can earn recognition for my progress and achievements."

Description

The Customizable Certification Programs allow users to create and manage their own certification tracks based on the skills they wish to develop. This requirement centers on providing a framework for defining criteria, assessments, and milestones that tailor the certification experience to individual career paths. Users will be able to take charge of their learning journey by defining their goals and gaining recognition for their achievements, which enhances motivation and engagement with the SkillBlink platform. Certifications will also serve as valuable credentials for career advancement.

Acceptance Criteria

Users are able to create their own customizable certification programs through the SkillBlink platform interface, selecting specific skills, assessments, and milestones tailored to their individual career paths.

Given a logged-in user, when they navigate to the Certification Programs section, then they can create a new certification track by selecting from available skills and defining assessments and milestones for completion.

Users should receive feedback on their progress within their customizable certification programs in real-time, enabling them to track their advancement effectively.

Given a user enrolled in a customizable certification program, when they complete an assessment, then their progress should be updated instantly in their certification dashboard showing percentage completion and milestones achieved.

Mentors should be able to review and provide feedback on users' progress within their customizable certification tracks, promoting collaborative learning and improvement.

Given a mentor assigned to a user’s customizable certification program, when the user completes a milestone, then the mentor receives a notification to review and comment on the user's performance in that milestone.

Users must be able to share their completed certifications on external platforms, enhancing their professional visibility and recognition of their achievements.

Given a user who has completed a customizable certification program, when they choose to share their certification, then the system provides options to post directly to professional networks such as LinkedIn or download a certification PDF.

The platform should allow users to edit their certification tracks at any point, giving them the flexibility to update goals and add new skills or assessments based on changing career aspirations.

Given a user who has created a customizable certification track, when they choose to edit their track, then they must be able to add or remove skills and assessments and save the updated track without any errors.

Users will receive clear confirmation upon the successful completion of certification tracks, enhancing their sense of achievement and motivation to continue learning.

Given a user who has successfully completed all assessments in a certification track, when they submit for final review, then they receive a confirmation message along with a digital certificate linked to their SkillBlink profile.

Collaboration Project Feedback Mechanism

"As a user, I want to give and receive feedback on my project contributions so that I can improve my skills and better support my team."

Description

The Collaboration Project Feedback Mechanism enables users to provide and receive feedback on their contributions to collaborative projects. This requirement includes implementing a structured feedback system where team members can rate and comment on each other’s performance and skills demonstrated during projects. By facilitating constructive feedback, this feature will create an accountability loop and foster a growth mindset among users, enhancing overall learning experiences within SkillBlink's collaborative environment.

Acceptance Criteria

User provides feedback to a peer after completing a collaborative project where both contributed to a shared goal.

Given a completed collaborative project, when a user accesses the feedback section, then they can submit detailed ratings and comments on each peer's performance.

User receives feedback from peers after participating in a collaborative project to understand their contributions and areas for improvement.

Given that peer feedback has been submitted, when the user checks the feedback section, then they should see all ratings and comments associated with their contributions from project team members.

A project manager reviews feedback provided to understand the strengths and weaknesses of team members during collaborative projects.

Given the feedback collected from a project, when the project manager accesses the feedback reports, then they can view an aggregated summary of all ratings and comments for each team member.

A user updates their skill development profile based on the feedback received from peers to align with their learning goals.

Given the user has received feedback, when they review and select relevant comments from peers, then they can link these comments to their skill development goals within the Skill Development Tracker.

Users can anonymously provide feedback on a team member’s contributions to ensure honest and constructive evaluations.

Given that the feedback mechanism includes an option for anonymity, when a user submits feedback, then the recipient of the feedback should not be able to identify the feedback provider.

Users check the status of feedback submissions to ensure they have received responses from their peers in a timely manner post-project completion.

Given the feedback submission, when a user checks the feedback status dashboard, then they should see which feedback requests are still pending and which have been completed along with timestamps.

The system sends reminders to users who have not yet submitted feedback after a collaborative project completion.

Given a completed collaborative project, when the feedback deadline approaches, then the system sends automated reminder notifications to users who have not yet provided feedback.

Skill Trend Analysis

Skill Trend Analysis provides users with a visual representation of their skill development over time, highlighting patterns and growth areas. By utilizing graphs and charts, users can quickly identify which skills are improving and which may require additional focus, enabling them to prioritize their learning effectively.

Requirements

Visual Skill Tracking Dashboard

"As a user, I want to see my skill development trends displayed in a visual format so that I can easily understand my progress and focus on areas that need improvement."

Description

The Visual Skill Tracking Dashboard requirement involves developing an interactive platform that enables users to visually track their skill development over time through graphs and charts. This dashboard will highlight skills that are improving, skills that require more attention, and trends over specific periods. The primary benefit of this dashboard is that it provides users with an intuitive and engaging way to monitor their progress, fostering self-awareness and motivation. Integration with existing user data will be seamless, ensuring that the information displayed is relevant and up-to-date. Overall, this requirement enhances the Skill Trend Analysis feature by making progress tracking more accessible and comprehensible for users, ultimately contributing to their professional growth by identifying areas of strength and weakness.

Acceptance Criteria

User views their Visual Skill Tracking Dashboard for the first time after completing several skills assessments and courses.

Given that the user is logged into their SkillBlink account, when they navigate to the Visual Skill Tracking Dashboard, then they should see a series of graphs and charts that accurately reflect their skill development over time, including a clear representation of skills that have improved and those that need more focus.

User wishes to track their skill trends over a specified period (e.g., monthly, quarterly).

Given the user selects a time period filter on the Visual Skill Tracking Dashboard, when they apply the filter, then the dashboard should update to display the skill trends and progress data only for the selected time frame, ensuring the graphs and charts reflect the correct historical data.

User identifies an area of weakness and decides to review specific skill improvement data.

Given that the user selects a specific skill on their Visual Skill Tracking Dashboard, when they click on that skill, then a detailed breakdown of their progress, including historical data and improvement suggestions, should be displayed, allowing users to receive targeted insights for skill enhancement.

User integrates the Visual Skill Tracking Dashboard with their existing learning data to ensure accuracy and relevance.

Given the user requests to sync their existing skill data from previous assessments, when the synchronization process is initiated, then the Visual Skill Tracking Dashboard should successfully integrate this data without errors, and the displayed graphs should accurately reflect the new data points provided.

User wants to customize which skills are displayed on the dashboard for a more personalized experience.

Given the user accesses the settings menu on the Visual Skill Tracking Dashboard, when they select which skills to display or hide, then the dashboard should adjust in real-time, reflecting the user's preferences without requiring a page refresh.

User accesses the Visual Skill Tracking Dashboard on different devices (desktop, tablet, mobile).

Given that the user accesses the Visual Skill Tracking Dashboard from various devices, when they view the dashboard, then it should display correctly on all devices with a responsive design that maintains functionality and usability across screen sizes.

Custom Analytics Filters

"As a user, I want to apply filters to my skill trend data so that I can analyze my progress based on specific criteria relevant to my development goals."

Description

The Custom Analytics Filters requirement focuses on allowing users to apply specific filters to their skill trend data analysis. Users should be able to filter their data by skill type, time period, and performance level to gain more tailored insights into their skill development journey. Implementing this feature will empower users to drill down into specific areas of interest, making the analysis more pertinent to their personal goals. This capability not only enhances the user experience but also reinforces the adaptive learning nature of SkillBlink by recognizing individual learning needs and preferences. Furthermore, the insights derived from filtered data can help in strategic goal setting for professional growth and skill enhancement.

Acceptance Criteria

User applies filters to view skill trend data for the past three months, wanting to focus on their coding skills and performance at an advanced level.

Given that the user has selected a three-month time period, chosen 'Coding' as the skill type, and set performance level to 'Advanced', when they click on 'Apply Filters', then the system should display only the relevant skill trend data reflecting their coding skills over the last three months at the advanced performance level.

User wants to analyze their overall performance trend across multiple skills over the last year to identify areas needing improvement.

Given that the user has selected a one-year time frame and no specific skill type, when they apply the filter and view the skills performance trends, then the system should show a summary graph indicating the overall performance across all skills, detailing improvements and declines.

A user wants to generate insights from skill data by applying a filter for 'Soft Skills' for the past six months to prepare for an upcoming performance review.

Given that the user has selected a six-month period and 'Soft Skills' as the skill type, when the user applies the filter, then the system should display the trend analysis for soft skills, including a comprehensive chart and key metrics for review.

A user is interested in evaluating their skill development after attending a training course and wants to see the progress made in 'Leadership' skills over the past year.

Given that the user has selected 'Leadership' when filtering skill types and specified a one-year period, when they click 'View Analysis', then the system must provide a detailed report highlighting improvements in leadership skills, including actionable insights.

User is preparing to set new personal development goals and wishes to filter skills by 'Technical Skills' and review data from the last quarter.

Given that the user selects 'Technical Skills' for skill type and specifies a three-month period, when the data is filtered, then the system should accurately reflect the user’s performance trends in technical skills, with visual aids such as charts and graphs supporting the findings.

User needs to present their skill growth to a mentor by analyzing their skill data filtered by 'Project Management' for the last six months.

Given that the user has filtered the report by 'Project Management' skill type for the last six months, when they generate the report, then the system should provide a visual representation illustrating skill improvement, along with notes on areas of concern or further development.

Skill Growth Notification System

"As a user, I want to receive notifications about my skill developments so that I can stay informed and act quickly to address areas needing improvement."

Description

The Skill Growth Notification System requirement entails implementing a notification mechanism that alerts users when significant changes occur in their skill development. This could include notifications for skills that show notable improvement or decline, prompting users to take action. The system aims to keep users engaged with their learning journey by providing timely and relevant updates that encourage self-reflection and additional learning activities. The notification system should be customizable, allowing users to choose what types of notifications they wish to receive and how frequently. This feature will enhance user interaction with the platform, promoting consistent skill engagement and proactive development strategies.

Acceptance Criteria

User sets up their Skill Growth Notification preferences through the SkillBlink platform.

Given a user accesses the notification settings, when they select their preferred notification types and frequency, then their preferences should be saved and reflected in the notification system.

User receives a notification after a significant improvement in a specific skill.

Given a user has achieved a noticeable improvement in their skill level, when the Skill Growth Notification System identifies this change, then the user should receive a notification detailing the improvement and suggesting next steps.

User obtains a notification alerting them of a decline in a specific skill area.

Given a user experiences a significant decline in their skill level, when the Skill Growth Notification System detects this decline, then the user should receive a notification highlighting the skill and recommending resources for improvement.

The user accesses their notification history to review past alerts.

Given a user navigates to their notification history section, when they view the alerts, then they should see a chronological list of all notifications received along with timestamps and details about each alert.

User customizes the frequency and types of notifications they wish to receive.

Given a user is in the notification settings, when they adjust the toggle options for frequency and types of notifications, then these settings should be applied without errors and reflected in their profile.

System triggers notifications only for skills with significant changes based on user-defined thresholds.

Given a user has set specific thresholds for skill improvements or declines, when the skill metrics are analyzed, then the system should trigger notifications only for skills that exceed these thresholds, ensuring relevant alerts.

User successfully unsubscribes from specific types of notifications.

Given a user is in their notification settings, when they choose to unsubscribe from a specific type of notification, then they should receive a confirmation message and no further alerts of that type should be sent.

Personalized Skill Benchmarks

Personalized Skill Benchmarks allow users to compare their skills against industry standards and peer performance. This feature empowers users to set realistic goals based on quantifiable data, ensuring they are on the right track to fulfilling their career aspirations while motivating them to strive for excellence.

Requirements

Skill Comparison Dashboard

"As a user, I want to see a visual representation of my skills compared to industry standards and my peers so that I can clearly identify areas where I need improvement and set actionable goals to enhance my professional growth."

Description

The Skill Comparison Dashboard will provide users with a detailed interface where they can view their skill levels relative to industry standards and peer performances. This dashboard will include visual representations such as graphs and charts that help users quickly identify their strengths and weaknesses. The integration of real-time data analytics will allow for dynamic updates, ensuring users always have access to the most current comparison metrics. Additionally, the dashboard will support customization, enabling users to focus on specific skills that are most relevant to their career goals. This feature will enhance the user experience by making skill assessment straightforward and actionable, driving users to set personal benchmarks and strive for improvement.

Acceptance Criteria

User successfully accesses the Skill Comparison Dashboard to view their skill levels against industry standards and peer performances.

Given the user is logged into their SkillBlink account, when they navigate to the Skill Comparison Dashboard, then they should see a summary of their skill levels compared to industry standards and peer performances displayed through graphs and charts.

User customizes the Skill Comparison Dashboard to focus on specific skills relevant to their career goals.

Given the user is on the Skill Comparison Dashboard, when they select specific skills to focus on, then the displayed metrics should update to reflect only the selected skills, maintaining clarity and relevance.

User receives real-time updates on their skill comparisons after taking a new skill assessment.

Given the user has completed a new skill assessment, when they return to the Skill Comparison Dashboard, then the skill comparison metrics should automatically update to include the new assessment results within 5 minutes.

User can identify their strengths and weaknesses through visual representations in the Skill Comparison Dashboard.

Given the user is looking at their Skill Comparison Dashboard, when they analyze the graphs and charts, then they should be able to easily identify at least three strengths and three weaknesses based on their skills relative to peers and standards.

The Skill Comparison Dashboard displays a clear distinction between user performance and industry benchmarks.

Given the user is viewing their Skill Comparison Dashboard, when they compare their skill levels to industry benchmarks, then a clear visual representation should highlight areas where the user is above, at, or below the industry standard in a color-coded format.

User is able to track progress over time in the Skill Comparison Dashboard.

Given the user accesses their Skill Comparison Dashboard, when they select a time frame (e.g., last month, last quarter), then they should see a historical comparison of their skills' performance over the selected period with clear trends indicated on the graphs.

User can share their Skill Comparison Dashboard results with peers or mentors for feedback.

Given the user is on the Skill Comparison Dashboard, when they click the 'Share' option, then they should be able to send their performance data via email or a shareable link, ensuring privacy settings are respected.

Automated Goal Setting

"As a user, I want the system to automatically suggest personalized learning goals based on my skills and career aspirations so that I can work towards achievable milestones that align with my professional development."

Description

Automated Goal Setting will leverage AI algorithms to analyze users' skill assessments and tailor personalized growth objectives based on their current capabilities and career aspirations. Users will receive recommendations for short-term and long-term goals, taking into account industry benchmarks and their individual learning paths. This feature not only provides structure to users' learning experiences but also motivates them by presenting achievable milestones. The goals will be adjustable and can be recalibrated automatically as users progress, ensuring continuous alignment with their evolving career ambitions. This capability is crucial for maintaining engagement and making learning feel relevant and impactful.

Acceptance Criteria

User receives tailored short-term and long-term goals after completing their skill assessment on SkillBlink.

Given a user completes a skill assessment, when the assessment is processed, then the user should receive a detailed report with at least three short-term goals and two long-term goals that align with their skill level and career aspirations.

User adjusts their goals based on feedback and progress in SkillBlink to ensure alignment with evolving career objectives.

Given a user has received their initial goals, when they log into their SkillBlink account to review their progress, then they should be able to adjust their goals, and the system should automatically recalibrate the recommendations accordingly within 24 hours.

Users are notified of their goal progress through real-time updates on the SkillBlink platform.

Given a user is enrolled in personalized goal setting, when the user makes progress on any goal, then they should receive real-time notifications on their SkillBlink dashboard, reflecting their progress and suggesting next steps at least once a week.

Users can compare their personalized goals against industry benchmarks to evaluate their performance.

Given a user accesses the personalized skill benchmarks feature, when they view their progress report, then they should be able to see a comparison of their goals against industry benchmarks, with visual indicators of performance, such as graphs or charts.

The system recalibrates users' goals automatically as they complete skills assessments over time.

Given a user completes a new skill assessment, when the assessment results are analyzed, then the system should automatically update their goals within 48 hours to reflect new skills acquired and suggest appropriate next milestones.

Peer Performance Insights

"As a user, I want to see how I compare to my peers in terms of skill performance so that I can understand my position within my professional environment and leverage this information to enhance my personal development."

Description

Peer Performance Insights will allow users to gain insights into how their peers are performing in relation to similar skill sets. This feature will provide anonymized data to ensure privacy, while offering comparative metrics on skill acquisition rates, certification achievements, and other relevant benchmarks. By analyzing this data, users can gain a deeper understanding of industry trends and peer-to-peer performance, which will inform their own learning strategies. This feature promotes a collaborative growth environment and encourages users to connect and engage with their peers to foster mutual development. Moreover, the insights will help users to better navigate their learning journeys by benchmarking against their peers.

Acceptance Criteria

User accesses the Peer Performance Insights feature to view anonymized data on their peers' skill acquisition rates, certification achievements, and other relevant metrics.

Given the user is logged into SkillBlink, when they navigate to the Peer Performance Insights section, then they should be able to view a summary of their peers' performance data compared to their own skills in an easy-to-read format.

User sets a benchmark goal based on peer performance insights they have accessed from the platform.

Given the user has viewed their peers' performance data, when they select a skill target and establish a benchmark goal, then the system should update the user's profile to reflect this new goal and provide a timeline for achievement.

User receives insights on industry trends based on peer performance metrics they have analyzed.

Given the user has accessed their peer performance metrics, when the insights generated include graphs and data points on industry trends, then the user should be able to interpret these trends clearly and utilize them to adjust their learning strategies accordingly.

User invites peers to compare their performance metrics and engage in discussion regarding their insights.

Given the user views their peer performance insights, when they invite peers via the SkillBlink platform, then their peers should receive an invitation that includes a summary of the performance insights for collaborative discussion.

User accesses Peer Performance Insights on a mobile device.

Given the user is using the SkillBlink mobile app, when they navigate to peer performance insights, then the data should be displayed in a mobile-optimized format that is easy to read and interact with.

User's access to Peer Performance Insights complies with privacy standards.

Given the peer performance data is anonymized, when a user views these insights, then no personally identifiable information should be displayed, ensuring compliance with data privacy regulations.

User receives notifications regarding updates or changes to peer performance metrics.

Given the user has opted in for notifications, when peer performance data is updated, then the user should receive a timely notification about the changes in their peers' performance metrics.

Dynamic Skill Progress Tracking

"As a user, I want to track my skill development progress in real-time so that I can stay motivated and accountable to my learning goals."

Description

Dynamic Skill Progress Tracking will provide users with real-time updates on their skill development journey. Utilizing visual progress bars, metrics, and notifications, this feature enables users to monitor their advancement towards their goals effortlessly. It will also incorporate reminders for upcoming skill assessments and due dates for goals to keep users accountable. Providing this level of visibility into skill progression encourages users to stay committed to their learning paths and fosters a habit of regular engagement with their skill development. This functionality ultimately reinforces the value of the platform in driving continuous improvement and ensuring user motivation.

Acceptance Criteria

User views their skill progress dashboard after completing an initial assessment to track their development against set goals.

Given the user has completed an initial skill assessment, when they access their progress dashboard, then the dashboard displays a visual progress bar reflecting the percentage of skills developed against the set goals.

User receives a notification about an upcoming skill assessment that is due within the next week.

Given the user has a skill assessment due in less than seven days, when the user logs into the platform, then a notification alerting them of the upcoming assessment is prominently displayed on the dashboard.

User checks the platform to review their skill development metrics over the past month.

Given the user has been actively engaged with their skill lessons for at least one month, when they navigate to the metrics section, then the platform presents a comprehensive report detailing the skills learned, time spent on each skill, and progress towards their goals.

User sets a new, realistic skill development goal based on benchmark comparisons.

Given the user is on the skill benchmarks page, when they select a skill and input a realistic goal based on peer data, then the new goal should be saved and displayed on their progress dashboard immediately.

User interacts with the visual progress bar to understand their skill development better.

Given the user is viewing their skill progress dashboard, when they hover over the visual progress bar, then a tooltip appears showing specific metrics associated with their skills, including percentage achieved and actionable steps to improve further.

Customizable Certification Programs

"As a user, I want to customize my certification programs based on my career goals and the requirements of my organization so that I can achieve recognition for my skills in a way that resonates with my career path."

Description

Customizable Certification Programs will allow organizations to create and manage their own certification pathways tailored to the specific needs of their workforce. This functionality will enable users to select from a variety of modules and topics to construct a personalized certification experience that reflects both their individual ambitions and company expectations. The programs will integrate assessment features that validate their skills and achievements, ensuring reliability and acceptance in the industry. Enabling this capability fosters further engagement from users who seek recognition and validation of their skills through customizable learning experiences.

Acceptance Criteria

User selects desired certification modules and customizes their certification pathway based on personal career goals and company requirements.

Given a logged-in user, when they navigate to the certification section, then they can select from available modules and build a personalized certification pathway.

The system validates and saves the customized certification pathway created by the user, ensuring that all chosen modules are available and applicable for certification.

Given a user has completed the customization of their certification pathway, when they submit the pathway, then the system validates the modules and saves the pathway without errors.

Users can access their customized certification pathways at any time, allowing them to track progress and update modules as needed.

Given a user has created a personalized certification pathway, when they access their profile, then they can view their pathway and current progress towards certification.

The system allows users to take assessments associated with their selected modules to validate their skills and earn certifications.

Given a user is on their certification pathway, when they select a module assessment, then they can take the assessment and receive immediate feedback on their performance.

Users receive notifications upon completing their certification assessments, detailing their results and next steps for earning their certification.

Given a user completes an assessment, when the results are calculated, then the user receives a notification detailing their score and information on how to move forward with certification.

Organizations can manage and review their employees' customized certification pathways to ensure alignment with workforce development goals.

Given an admin from an organization, when they access the management dashboard, then they can view and evaluate employees' certification pathways and progress reports.

Learning Habit Tracker

The Learning Habit Tracker monitors users' learning behaviors, such as time spent on courses and engagement levels with different content types. By providing targeted insights into their learning patterns, users can adjust their habits to improve retention and effectiveness in their skill acquisition.

Requirements

User Engagement Analytics

"As a user, I want to see detailed analytics about my learning engagement so that I can understand my habits and make informed adjustments to improve my learning efficiency."

Description

The User Engagement Analytics requirement involves the development of a robust analytics dashboard that tracks user interactions with the Learning Habit Tracker. This includes metrics such as login frequency, time spent on tasks, and interaction with course materials. By enabling users to visualize their engagement trends over time, this feature will provide actionable insights that help users to identify areas needing improvement. Enhanced analytics will promote user accountability, encouraging more consistent learning habits and maximizing the effectiveness of the SkillBlink platform.

Acceptance Criteria

User accesses the Learning Habit Tracker dashboard to assess their learning engagement over the past week.

Given the user is on the Learning Habit Tracker dashboard, when they select the 'Engagement Over Time' view, then the system displays a line graph showing daily login frequency and time spent on tasks for the past 7 days.

User wants to filter their activity metrics by specific course material to analyze their engagement level.

Given the user has multiple courses listed, when they apply a filter for 'Course Material A', then the system shows only the engagement data related to 'Course Material A', including time spent and interaction metrics.

User receives a notification summarizing their engagement metrics at the end of the month.

Given the user has logged in during that month, when the month ends, then the user receives a notification summarizing their total login frequency, average time spent on tasks, and interaction rates with various content types.

Admin reviews overall engagement metrics to identify trends across all users.

Given the admin accesses the analytics dashboard, when they select the 'Overall Engagement' report, then the system displays engagement trends for all users, including average login frequency and time spent on tasks over the last 30 days.

User compares their current engagement metrics with the previous month's data to evaluate improvement.

Given the user is on their profile metrics page, when they select to compare 'Current Month' vs. 'Previous Month', then the system displays side-by-side metrics for login frequency, time spent, and course interactions.

User wants to set personal engagement goals based on previous performance.

Given the user is on the goal-setting page, when they input a desired increase in login frequency and time spent for the next month, then the system saves these goals and provides reminders based on their stated metrics.

Customizable Notifications

"As a user, I want to customize my notifications regarding my learning schedule so that I can stay on track with my commitment to continuous skill development."

Description

The Customizable Notifications requirement will allow users to set personalized reminders for their learning activities. Users can choose the types of notifications they receive, such as reminders for upcoming deadlines, suggestions for new courses based on their interests, or alerts when they haven't engaged with content for a certain time. This feature is vital for promoting a consistent learning routine and ensuring users stay motivated by facilitating timely engagement with their skill development activities.

Acceptance Criteria

User sets a notification for an upcoming course deadline.

Given the user has access to the Notification Settings, when they customize a notification for an upcoming course deadline, then the system should successfully save this notification and send a reminder 24 hours before the deadline.

User selects types of notifications to receive based on their learning preferences.

Given the user is in the Notification Preferences section, when they select specific types of notifications to receive (such as course suggestions or engagement alerts), then the system should update their preferences and reflect the changes in the user's notification settings.

User receives a notification for inactivity after not engaging with content for a specified time.

Given the user has set a notification for inactivity, when the user has not interacted with any learning content for 7 days, then the system should send an alert notifying them of their inactivity and suggesting courses to reinstate their learning engagement.

User cancels a previously set notification for course suggestions.

Given the user has existing notifications, when they choose to cancel a notification for course suggestions, then the system should remove this notification from the user's alert list and confirm the cancellation to the user.

User edits the timing of reminders for learning activities.

Given the user is on the Notification Settings page, when they edit the reminder time for a specific learning activity, then the system should save the new reminder time and update the user accordingly.

User gets a summary of their notifications settings.

Given the user navigates to the Notification Summary section, when they view their settings, then the system should display a comprehensive list of their current notification preferences and statuses.

User receives a notification when a new course is released in their area of interest.

Given the user has indicated areas of interest in their profile, when a new relevant course is added, then the system should send a notification to the user about this new course release immediately.

Peer Interaction Facilitation

"As a user, I want to connect with peers who are following similar learning paths so that I can collaborate, share experiences, and enhance my learning journey through community support."

Description

The Peer Interaction Facilitation requirement aims to create a platform for users to engage with each other, share insights, and seek advice regarding their learning journeys. This feature can include discussion boards, group challenges, and the ability to form study groups based on similar learning goals. By fostering a sense of community among learners, this functionality will enhance user motivation, driving collaboration and making the learning process more interactive and enjoyable.

Acceptance Criteria

Peer Interaction Facilitation on Discussion Boards

Given a user is logged into the SkillBlink platform, when they navigate to the Discussion Boards section, then they should be able to create a new discussion thread, post replies, and view threads posted by others without any errors.

User Engagement in Group Challenges

Given a user has opted into a group challenge, when they participate in the challenge, then their progress and contributions should be tracked and displayed on their profile as well as for group members to view.

Forming Study Groups Based on Learning Goals

Given a user selects a specific learning goal from their profile, when they choose to form a study group, then the system should suggest other users with similar learning goals to join the group.

Notifications for Peer Interaction Opportunities

Given a user is active on the platform, when a relevant peer posts in their study group or discussion board, then the user should receive real-time notifications to encourage engagement.

Feedback and Insights Post Interaction

Given a user has completed a peer interaction (such as a discussion or group challenge), when they access their learning habits dashboard, then they should receive personalized feedback summarizing their interaction quality and areas for improvement.

Searching for Relevant Study Materials

Given a user is in a study group, when they search for materials related to their learning goal using the provided search functionality, then the system should return relevant resources shared by peers in that group.

User Ratings for Peer Contributions

Given a user has completed a peer interaction, when they provide a rating for the experience, then that rating should be reflected in the overall peer contributions score visible to all group members.

Dynamic Content Recommendations

"As a user, I want to receive personalized content recommendations so that I can focus on the most relevant materials that align with my learning goals and enhance my skill development efficiently."

Description

The Dynamic Content Recommendations requirement will implement an AI-driven engine that suggests learning materials based on user behavior, preferences, and progress. By analyzing data such as completed courses, engagement metrics, and performance in skill assessments, this feature will deliver personalized content suggestions. This targeted approach ensures users are presented with relevant materials, enhancing retention and ensuring efficient skill acquisition tailored to their unique learning paths.

Acceptance Criteria

User receives personalized content recommendations after completing a skill assessment.

Given a user has completed a skill assessment, When the user accesses the learning platform, Then they should see a list of dynamically generated content recommendations that align with their assessed skill level and interests.

User engagement metrics influence content suggestions.

Given a user has preferred forms of content (e.g. videos, articles), When the user frequently engages with these content types, Then the recommendation engine should prioritize similar content in future suggestions, reflecting their engagement pattern.

User can provide feedback on content recommendations.

Given a user views recommended content, When they select the feedback option (like/dislike), Then the system should log this feedback to refine future recommendations accordingly.

User monitors changes in recommendations over time based on their learning habits.

Given a user consistently tracks their learning habits with the Learning Habit Tracker, When they revisit the recommendations section, Then the content suggestions should evolve based on their historical engagement and learning behaviors.

Recommendations are relevant to users' ongoing courses.

Given a user is enrolled in ongoing courses, When the recommendation engine generates suggestions, Then at least 70% of the recommended content should directly relate to the subjects covered in their current courses.

User can view detailed explanations for content recommendations.

Given a user receives content recommendations, When they click on a recommended item, Then the system should display a detailed explanation of why this content was suggested, including the data points (e.g. skill level, interests) that influenced the decision.

User can easily access and utilize recommended learning content.

Given a user has been presented with recommendations, When they select a recommended content link, Then the system should seamlessly redirect them to the content without additional navigation barriers or delays.

Progress Visualization Tools

"As a user, I want to visually track my progress in learning skills so that I can stay motivated and clearly understand the milestones I've achieved and areas needing attention."

Description

The Progress Visualization Tools requirement encompasses the creation of visually engaging progress tracking features that allow users to see their learning journey clearly. These tools can include progress bars, milestone markers, and visual graphs that represent skill acquisition over time. This feature will not only motivate users by showing them how far they’ve come but will also help them to identify areas where they need to focus more effort, ultimately driving engagement with the SkillBlink platform.

Acceptance Criteria

The user has completed a set of courses and wants to visualize their learning progress on the SkillBlink platform.

Given the user has completed at least one course, when they navigate to the Progress Visualization Tools section, then they should see a progress bar indicating their overall learning percentage based on completed courses.

A user logs in to check their learning milestones after completing a series of skill assessments.

Given the user has completed multiple skill assessments, when they view the Progress Visualization Tools, then they should see milestone markers representing the key skills they've acquired along with their corresponding completion dates.

A user seeks feedback on their engagement with different content types within the learning platform.

Given the user has engaged with diverse content types (videos, quizzes, articles), when they access the Progress Visualization Tools, then they should see visual graphs that represent their engagement levels with each content type over the last month.

The user wants to identify their weak areas after tracking their learning progress over time.

Given the user has a record of their learning activities, when they review the Progress Visualization Tools, then they should see highlighted areas for improvement that reflect the lowest engagement or completion rates in specific skill categories.

A user is preparing for a performance review and wants to demonstrate their progress in skill acquisition.

Given the user has utilized the Progress Visualization Tools, when they generate an achievement report, then the report should include visual elements that clearly articulate their learning journey and key accomplishments.

A mentor is evaluating their mentee's learning progress to provide constructive feedback.

Given the mentor has access to the mentee's SkillBlink profile, when they review the Progress Visualization Tools, then they should be able to see a comprehensive overview of the mentee's learning achievements, including timelines and graphical representations of skill acquisition.

Certification Achievement Badges

"As a user, I want to earn badges for completing courses and achieving milestones so that I can showcase my skills and commitment to continuous learning on my professional profiles."

Description

The Certification Achievement Badges requirement aims to create a system that rewards users with badges upon completion of certain milestones or courses. Badges can signify competency in specific areas and serve as social proof of the user's skills. This feature will not only motivate users but also enhance their professional profiles, providing a tangible recognition of their dedication to professional growth and skill enhancement.

Acceptance Criteria

User completes an online course that qualifies for a certification badge.

Given a user has completed all modules of the course, when the user accesses their profile, then they should see the corresponding certification badge displayed prominently.

User achieves a milestone in their skill assessment that warrants a badge.

Given a user has attained a skill level defined as a milestone, when the user refreshes their dashboard, then the user should receive a notification and see a new badge reflecting their achievement in the skills section.

Users can share badges on their professional profiles such as LinkedIn.

Given a user has received a certification achievement badge, when the user chooses to share the badge, then the badge should be successfully posted to LinkedIn with the correct information and links back to their SkillBlink profile.

Users receive confirmation of badge achievement via email.

Given a user has earned a new badge, when the badge is awarded, then the user should receive a confirmation email that includes details of the badge and how to display it on their profile.

Users can view their badge history in their SkillBlink profile.

Given a user has earned multiple badges, when the user navigates to the badges section of their profile, then the user should see a chronological list of all badges earned along with their respective dates and descriptions.

System displays badges based on user engagement levels across different courses.

Given a user has engaged in various courses with different engagement metrics, when the user completes relevant courses, then the system assigns badges that reflect their engagement levels along with skill competencies achieved.

Users can filter badges by categories to assess their skills in specific areas.

Given a user has earned several badges, when the user uses the filter options in the badges section, then the user should be able to view badges sorted by categories such as technical, interpersonal, and leadership skills.

Performance Alerts

Performance Alerts notify users when they reach significant milestones or when their progress stagnates in specific skill areas. This proactive feature encourages continuous learning by reminding users to stay engaged and take action towards their professional development goals.

Requirements

Milestone Notifications

"As a user, I want to receive notifications when I reach significant learning milestones so that I can celebrate my achievements and stay motivated in my professional development journey."

Description

Milestone Notifications provide users with timely alerts when they achieve important learning milestones in their personalized paths. This feature is designed to reinforce positive progress in users’ learning journeys, allowing them to acknowledge their successes, celebrate achievements, and stay motivated. By integrating with the SkillBlink platform’s real-time tracking capabilities, the notifications will be customizable based on user preferences, ensuring relevance and enhancing user engagement. This functionality not only elevates the user experience but also supports the platform's goal of promoting continuous professional growth.

Acceptance Criteria

User receives a milestone notification when they complete a skill assessment module within their personalized learning path.

Given a user has completed a skill assessment module, when the system processes the completion, then the user should receive a notification highlighting their achievement and encouraging further action.

User can customize the types of milestones they want to be notified about within their profile settings.

Given a user has access to profile settings, when they select the milestones they wish to be notified about and save the changes, then only those selected milestones should trigger notifications.

User receives a notification when their progress in a specific skill area has not changed for a defined period.

Given a user has not made progress in a specific skill area for the set duration, when the system checks user progress, then it should send an alert notifying the user to re-engage with the learning material.

User can view a list of their past milestone notifications for review and motivation.

Given a user accesses their milestone notifications history, when the user requests to view past notifications, then they should see a chronological list of all milestone notifications they have received.

User's milestone notifications are sent through their preferred communication channel (email or in-app).

Given a user has set their preferred communication channel in the settings, when a milestone is achieved, then the system should deliver the notification through the selected channel.

User can provide feedback on milestone notifications to improve future alerts.

Given a user receives a milestone notification, when they select a feedback option within the notification, then they should be able to submit comments that will be analyzed for improving notification relevance.

Progress Stagnation Alerts

"As a user, I want to be alerted when my progress stagnates in specific skill areas so that I can take action to improve and remain on track with my professional goals."

Description

Progress Stagnation Alerts notify users when they have not made significant progress in specific skill areas over a defined period. This proactive reminder aims to re-engage users who may be at risk of falling behind in their learning objectives. By analyzing user activity and learning patterns, the feature can customize the alerts to offer personalized tips or recommended resources to help users overcome obstacles in their learning paths. This functionality is critical for maintaining user commitment and ensuring ongoing skill development, aligning with SkillBlink’s mission to foster a culture of continuous learning.

Acceptance Criteria

User receives a stagnation alert after not engaging with a specific skill area for 30 days.

Given the user has not completed any skill assessments or courses in a designated skill area for 30 days, when the alert is triggered, then the user should receive a notification via email and in-app message detailing the stagnation and providing actionable next steps.

User views personalized tips and recommended resources upon receiving a progress stagnation alert.

Given the user has received a stagnation alert, when they open the alert notification, then they should see personalized tips and a list of recommended resources tailored to their learning goals in the app.

System tracks user activity to determine stagnation periods accurately.

Given a user’s learning activity data, when the system analyzes activity over the past 30 days, then it should accurately identify if there has been no significant progress in any designated skill areas based on defined metrics.

User has the option to customize the period for stagnation alerts.

Given the user is in their profile settings, when they opt to customize alert settings, then they should be able to select different time frames (e.g., 14 days, 30 days, 60 days) for receiving stagnation alerts.

User feedback is collected after receiving a stagnation alert to improve future alerts.

Given the user has received and interacted with a stagnation alert, when they engage with the follow-up survey prompted by the alert, then their feedback should be recorded in the system for analysis to enhance future alerts.

System sends reminders to users after a stagnation alert is issued if no action is taken.

Given the user received a stagnation alert and did not engage with the recommended resources within a week, when the time elapses, then the system should send a follow-up reminder alerting them of their inactivity and encouraging action.

Engagement Reminders

"As a user, I want to receive reminders to engage with my learning materials and seek mentorship so that I can maximize my growth and connect with others."

Description

Engagement Reminders are periodic prompts that encourage users to interact with their learning materials or seek mentorship opportunities within the platform. These reminders will be tailored based on user activity, skill targets, and course participation, ensuring that they motivate users to actively participate in their professional development. The feature integrates with the SkillBlink platform's analytics to understand user behaviors and tailor reminders for optimal effectiveness. This initiative aims to maximize user engagement and minimize inactivity, contributing to a more vibrant community of learners and mentors.

Acceptance Criteria

User receives an engagement reminder after logging in to the SkillBlink platform at least once a week for a month.

Given a user has logged in at least once a week for the past month, when they log in, then they receive an engagement reminder to review their learning materials or seek mentorship opportunities.

User has not interacted with learning materials for two consecutive weeks.

Given a user has not interacted with any learning materials for two weeks, when they log into the platform, then they receive an engagement reminder to encourage activity.

User has reached a specified milestone related to their skill development.

Given a user has completed a skill assessment or course module, when they log in, then they receive an engagement reminder acknowledging their achievement and prompting them to explore advanced learning opportunities.

User is approaching a deadline for a certification program they are enrolled in.

Given a user is enrolled in a certification program with a deadline approaching within two weeks, when they log in, then they receive an engagement reminder highlighting the deadline and encouraging them to complete the necessary modules.

User's progress in a specific skill has stagnated over a month.

Given a user's progress in a specific skill has not changed for a month, when they check their progress dashboard, then they receive an engagement reminder to explore resources or seek support.

User participates in a collaborative project within the platform.

Given a user is part of a collaborative learning project, when they log in, then they receive an engagement reminder to contribute to the project or connect with peers.

User has flagged a skill or course as a priority but has not interacted with it recently.

Given a user has flagged a skill or course as a priority, when they log in and have not interacted with it in the last two weeks, then they receive an engagement reminder focused on that flagged skill or course.

Personalized Skill Recommendations

"As a user, I want to receive personalized skill recommendations based on my progress so that I can efficiently target my learning efforts and achieve my career goals."

Description

Personalized Skill Recommendations analyze user progress and performance data to suggest specific skills for users to focus on next. This feature leverages AI algorithms to offer tailored learning paths that align with users’ career ambitions and performance metrics. By providing actionable insights, the recommendations serve not only to streamline users’ learning processes but also to enhance their overall experience on the SkillBlink platform. This function is crucial for guiding users in their professional journey, ensuring they remain on target to meet their long-term career objectives.

Acceptance Criteria

User receives personalized skill recommendations after completing a skill assessment on the SkillBlink platform.

Given a user has completed a skill assessment, When the system analyzes the results, Then the user should receive personalized skill recommendations that align with their assessment results and career goals.

User reviews the personalized skill recommendations provided by the system.

Given a user has received personalized skill recommendations, When the user views the recommendations, Then they should be able to see detailed information about each recommended skill including relevance and prerequisites.

User updates their learning preferences in their profile settings.

Given a user updates their learning preferences to indicate preferred types of skills, When the personalized recommendations are generated, Then the system should reflect these preferences in the new set of recommendations.

User receives a notification about their new personalized skill recommendations.

Given a user has new personalized skill recommendations, When the recommendation is generated, Then the user should receive a notification within the SkillBlink platform and via email, if enabled.

User provides feedback on the personalized skill recommendations received.

Given a user has viewed their personalized skill recommendations, When the user submits feedback about the usefulness of these recommendations, Then the system should record their feedback and use it to improve future recommendations.

Multiple users view their tailored skill recommendations under similar performance metrics.

Given multiple users with similar progress in specific skill areas, When they receive personalized skill recommendations, Then the system should ensure that recommendations are uniquely tailored to their individual career ambitions and not identical across users.

User's engagement with recommended skills is tracked over time for analysis.

Given a user engages with the recommended skills, When their progress is recorded in the system, Then the system should track and report on the user's completion of recommended skills and the time spent on each.

Feedback Loop Integration

"As a user, I want to provide feedback on the performance alerts and reminders so that I can contribute to improving the system and making it more relevant to my needs."

Description

Feedback Loop Integration facilitates the collection of user feedback on the effectiveness of performance alerts and reminders within the SkillBlink platform. This feature includes user surveys and response tracking to gauge the value and impact of notifications on user engagement and learning outcomes. By incorporating user insights, the platform can continuously improve the relevance and effectiveness of alerts, ensuring they meet user expectations and support their professional journeys. This feedback mechanism is essential for maintaining high user satisfaction and fostering an innovative learning environment.

Acceptance Criteria

User receives a notification when they complete a significant milestone in a skill area.

Given a user has completed a significant milestone in a skill area, when they log in to the SkillBlink platform, then they should receive a performance alert notification informing them of their achievement.

User is notified if there is stagnation in their learning progress for more than two weeks in a specific skill area.

Given a user has not made any progress in a specific skill area for more than two weeks, when they access their SkillBlink dashboard, then they should receive a performance alert notification prompting them to take action.

User provides feedback on the effectiveness of performance alerts after receiving them.

Given a user has received a performance alert, when prompted through a brief survey, they should be able to submit their feedback regarding the alert’s relevance and impact on their learning objectives, and the feedback should be successfully recorded in the system.

System tracks the frequency and type of feedback submitted by users regarding performance alerts.

Given users are submitting feedback on performance alerts, when they complete and submit the feedback forms, then the system should accurately track and categorize the frequency and types of feedback received for performance analysis.

Users receive a summary of feedback collected on performance alerts every month.

Given that user feedback has been collected for performance alerts, when the monthly summary is generated, then users should receive an email with a concise report of feedback trends and insights.

Users can access a history of their received performance alerts and their corresponding feedback responses.

Given that users have received multiple performance alerts, when they navigate to the feedback section of their dashboard, then they should see a chronological history of alerts received along with any feedback they submitted.

Feedback collected is used to improve the relevance of performance alerts over time.

Given that user feedback has been analyzed, when insights are derived from the feedback reports, then the platform should implement at least one change per quarter to enhance the relevance and effectiveness of performance alerts based on user feedback.

Skill Development Forecasting

Skill Development Forecasting predicts potential skill growth based on current learning activities and past trends. Users can visualize expected progress by engaging with different content types or focusing on targeted skills, allowing for strategic planning in their learning paths.

Requirements

Dynamic Skill Visualization

"As a professional learner, I want to visualize my skill development over time so that I can strategically plan my learning activities to maximize my career growth."

Description

Dynamic Skill Visualization enables users to engage with an interactive dashboard that visually represents their current skills and potential growth trajectories based on their learning activities. This feature provides insights into various skill domains, allowing users to identify which skills are gaining proficiency and which require further focus. By integrating real-time data, users can see how different learning paths and engagements impact their projected skill growth. This capability empowers users to make informed decisions about their learning strategies, ultimately enhancing their chances of career advancement and job satisfaction as they acquire new competencies.

Acceptance Criteria

User engages with the Dynamic Skill Visualization dashboard at the start of a new learning module to assess their current skill level and identify areas for improvement.

Given the user is logged into SkillBlink, when they access the Dynamic Skill Visualization dashboard, then they should see a visual representation of their current skills and potential growth for relevant skill domains based on their learning history.

A user wishes to understand the impact of a recently completed course on their skill growth trajectory, utilizing the Dynamic Skill Visualization feature.

Given the user has completed a specific learning course, when they view their skill growth trajectory on the dashboard, then they should see updated visual metrics reflecting changes in proficiency levels and projected growth based on the new course completion.

The user wants to identify which skills need more focus after reviewing their Dynamic Skill Visualization dashboard at the end of the month.

Given the user reviews their Dynamic Skill Visualization at the month's end, when they filter skills by proficiency, then they should see a clear list of skills categorized by those gaining proficiency and those needing further attention.

A user logs into SkillBlink after two weeks of learning activities and checks their dynamic skill growth projections.

Given two weeks of consistent learning activities, when the user accesses the Dynamic Skill Visualization dashboard, then they should see real-time updates indicating the projected impact on their skill growth and areas of improvement based on these activities.

A mentor wants to view a mentee's dynamic skill progression to give targeted feedback and recommendations.

Given a mentor has access to the mentee’s learning data, when they view the mentee's Dynamic Skill Visualization dashboard, then they should be able to see the mentee's current skills, recent learning engagements, and skill growth projections to provide informed feedback.

The user compares their skill development with industry benchmarks using the Dynamic Skill Visualization feature to strategize their next learning path.

Given the user has access to industry standard benchmarks, when they view their skill visualization, then they should be able to see comparative metrics that indicate how their skills measure against these benchmarks, aiding in strategic learning decisions.

A user has received a notification about a new feature in the Dynamic Skill Visualization that allows for predictive analytics on skill growth.

Given the user clicks on the notification, when they access the updated Dynamic Skill Visualization dashboard, then they should see the new predictive analytics tools integrated into their skill growth data with clear instructions on how to utilize them.

Adaptive Learning Pathway

"As a learner, I want an adaptive learning pathway that adjusts to my progress and interests so that I can focus on areas that will most benefit my career development."

Description

The Adaptive Learning Pathway takes user preferences, engagement history, and performance data into account to propose personalized learning paths that dynamically adjust based on user progress and changing skill demands. This feature enhances the effectiveness of the learning experience by offering targeted recommendations for content that aligns with the user's career goals and current skill gaps. By continuously refining recommendations, users are provided with a more tailored and meaningful learning journey, increasing motivation and retention.

Acceptance Criteria

User accesses the Adaptive Learning Pathway after completing an initial skill assessment and providing their career goals.

Given the user has completed a skill assessment, When they navigate to the Adaptive Learning Pathway, Then they should receive personalized learning path recommendations based on their assessment results and stated career goals.

A user modifies their career goals and updates their preferences in the system.

Given the user has updated their career goals and preferences, When they refresh the Adaptive Learning Pathway, Then the recommended learning paths should reflect these updated preferences within 5 seconds.

The user engages with different learning content types over a defined period and their engagement data is recorded.

Given the user has interacted with various content types, When the system analyzes their engagement history, Then the Adaptive Learning Pathway should adjust recommendations to prioritize skills that match the user's increased engagement.

Users monitor their learning progress and how it aligns with their skill development goals.

Given the user reviews their learning progress, When they access the progress dashboard, Then they should see visual indicators showing their skill growth compared to preset targets defined in their learning pathways.

The user successfully completes a recommended learning pathway and seeks to understand the next steps in their learning journey.

Given the user has completed a learning pathway, When they request the next adaptive pathway, Then they should receive new recommendations that consider their latest performance and emerging skill demands within 3 seconds.

A new trend in skills relevant to the user’s career field is identified and needs to be incorporated into learning pathways.

Given an external update on skill trends becomes available, When the system analyzes its database, Then it should incorporate these trends into the Adaptive Learning Pathway recommendations within 48 hours.

User feedback is collected regarding the effectiveness of the Adaptive Learning Pathway recommendations.

Given the user submits feedback on their learning pathway experience, When the feedback is analyzed, Then at least 80% of feedback submissions should indicate satisfaction with the relevancy and effectiveness of the recommendations.

Goal Setting and Progress Tracking

"As a user, I want to set specific learning goals and track my progress so that I can stay motivated and ensure I am on track to improve my skills effectively."

Description

Goal Setting and Progress Tracking enables users to define specific learning objectives and monitor their progress towards these goals through a dedicated interface. This feature integrates progress indicators and milestone achievements, allowing users to celebrate small wins and stay motivated. By providing clear benchmarks linked to skill development, users are encouraged to remain engaged with their learning plans, ensuring they follow through on their objectives and make continuous progress towards achieving their professional aspirations.

Acceptance Criteria

User sets a new learning goal to improve their project management skills, defining a specific target and deadline in the SkillBlink platform.

Given the user creates a goal with specific parameters (skill name, target level, deadline), when the goal is saved, then the goal should appear in the user's goal dashboard with correct details displayed.

User tracks their progress on the defined learning goal within the SkillBlink platform, utilizing the progress indicators and milestones.

Given the user has set a learning goal with milestones, when the user completes a learning activity linked to the goal, then the progress indicator should update to reflect the completed activity and current progress towards the goal.

User receives notifications about their progress and milestones achieved toward their learning goals.

Given the user has set learning goals with milestones, when a milestone is reached, then the user should receive a notification within the application and via email detailing the achievement and next steps.

User reviews their learning history and related milestones for a specific skill they are developing.

Given the user has a goal set for a skill, when the user navigates to the goal details page, then they should be able to view all completed activities and associated milestone achievements relevant to that skill.

User modifies an existing learning goal to better align with their current career objectives.

Given the user selects an existing goal, when the user updates the goal parameters (target level, deadline), then the changes should be saved and reflected on the user's goal dashboard without error.

User deletes a learning goal that is no longer relevant to their career path from the SkillBlink platform.

Given the user has an existing goal, when the user initiates a delete action on that goal, then the goal should be removed from the goal dashboard and the associated progress should be reset.

User celebrates their milestone achievements through a rewarding interface within SkillBlink.

Given a user reaches a milestone, when they view their goal dashboard, then a congratulatory message or notification should be displayed, along with options to share their achievement on social media or within the SkillBlink community.

Content Engagement Analysis

"As a content manager, I want to analyze how users engage with our learning materials so that I can optimize content offerings and ensure they meet user needs."

Description

Content Engagement Analysis provides insights into how users interact with various content types within the SkillBlink platform. By analyzing user engagement metrics such as time spent on different learning modules, completion rates, and interaction levels, the system can identify which content resonates most with users. This data informs future content curation and updates, ensuring relevant and effective material is continuously available, enhancing the overall user learning experience and satisfaction.

Acceptance Criteria

User Interaction Metrics Tracking for Learning Modules

Given that a user has completed various learning modules, when the system analyzes engagement data, then it should report on time spent per module, completion rates, and interaction levels for each content type.

Content Effectiveness Evaluation

Given that user engagement metrics are available, when the content engagement report is generated, then it should highlight the top 5 content types based on user interaction and completion rates for targeted skill areas.

User Feedback Integration for Content Improvement

Given that users have finished learning modules, when they provide feedback on the content, then the system should update the content effectiveness score based on user satisfaction ratings and suggestions.

Visualization of Engagement Trends Over Time

Given that engagement data has been collected over a set period, when users access the trend analysis feature, then they should see visual graphs displaying engagement metrics (time spent, completion rates) month-over-month.

Adaptive Learning Path Recommendations

Given user engagement data is analyzed, when users access their learning path recommendations, they should receive personalized suggestions based on their highest and lowest engagement content types.

Content Curation for Enhanced Learning Experiences

Given that the system identifies low engagement content, when content curation takes place, then the system should provide a report listing the content to be reviewed or updated based on engagement analytics.

Performance Benchmarking Across User Segments

Given that engagement metrics are recorded for all users, when the system compares user segments, then it should generate a report showing engagement performance benchmarks for different user demographics.

Predictive Skill Gap Analysis

"As a career-driven user, I want to receive predictions on potential skill gaps based on industry trends so that I can proactively enhance my skills to meet future job demands."

Description

Predictive Skill Gap Analysis leverages machine learning algorithms to evaluate user data against industry standards and career trajectories. This requirement analyzes current user skills and predicts future skill needs based on evolving job market trends, helping users understand potential gaps in their skillset. By proactively identifying areas for improvement, this feature enables users to take a more strategic approach to their learning, ensuring they allocate effort and resources towards the most relevant skills required for their career advancement.

Acceptance Criteria

User Engagement with Predictive Skill Gap Analysis Tool

Given a user who has completed a skill assessment, when they access the Predictive Skill Gap Analysis tool, then they should see a visual representation of their current skills compared to industry standards, including predicted skill gaps over the next six months based on their learning activities.

Notification System for Predicted Skill Gaps

Given that a user's skill gap prediction has been generated, when there is a significant skill gap identified (greater than 20% of required skills), then the user should receive a notification alerting them to the identified gaps and suggesting relevant courses or learning paths.

Customization of Skill Gap Analysis Parameters

Given a user who accesses the Predictive Skill Gap Analysis settings, when they adjust their preferred career trajectory or industry focus, then the system should update the skill gap analysis to reflect the new parameters and show updated predictions based on the selected variables.

Comparative Analysis with Peer Skill Levels

Given a user engaged with the Predictive Skill Gap Analysis tool, when they choose to include peer comparisons, then the system should display a comparative analysis of the user’s skills against the average skills of their peers in the same industry, highlighting areas of potential improvement.

Historical Progress Tracking

Given a user has utilized the Predictive Skill Gap Analysis multiple times, when they access their profile, then they should be able to view historical data showing their skill development over time, including past predictions and current achievements, allowing for progress evaluation.

Integration with Learning Paths and Recommendations

Given a user's identified skill gaps, when they explore recommended learning paths, then the system should provide personalized course suggestions that specifically target the skills identified as gaps, based on the user's learning history and preferences.

Peer Comparison Insights

Peer Comparison Insights enable users to view how their skill development measures against peers within their network. This feature fosters a healthy competitive spirit and collaborative learning by encouraging users to share experiences, challenges, and strategies for improvement.

Requirements

Real-time Peer Comparison Dashboard

"As a user, I want to view a dashboard that compares my skill development with my peers so that I can identify areas where I excel and areas where I need improvement."

Description

The Real-time Peer Comparison Dashboard provides users with a visual interface to compare their skill development metrics against selected peers. This feature will present data through intuitive charts and graphs, highlighting key performance indicators such as skill levels, progress rates, and challenges faced. The dashboard will integrate with existing skill tracking elements in SkillBlink, allowing users to easily monitor their growth and identify areas for improvement. The primary benefit of this requirement is fostering a sense of community and motivation, as users can celebrate successes and learn from peers, thus enhancing the overall learning experience.

Acceptance Criteria

As a user in SkillBlink, I want to access the Real-time Peer Comparison Dashboard to compare my skill development metrics against my selected peers during my weekly progress review session.

Given that the user is logged into SkillBlink and has selected peers to compare with, when the user navigates to the Real-time Peer Comparison Dashboard, then the dashboard should display comparative metrics including skill levels, progress rates, and any challenges faced, all in an easily readable format.

As a user in SkillBlink, I want the Real-time Peer Comparison Dashboard to update my metrics automatically so that I can see the most current comparisons without needing to refresh the page.

Given that the Real-time Peer Comparison Dashboard is open, when the user remains on the dashboard for 5 minutes, then the dashboard should automatically refresh every 5 minutes to show the latest data for both the user and their selected peers.

As a user in SkillBlink, I want to see visual indications of where I rank compared to my peers in terms of skill level so that I can assess my standing and identify areas for improvement efficiently.

Given that the user is viewing the Real-time Peer Comparison Dashboard, when the user looks at the skill level visual representation, then the dashboard should clearly indicate the user's rank compared to selected peers, including color-coded status (e.g., green for above average, yellow for average, red for below average).

As a user in SkillBlink, I want to receive notifications for peers who have significantly improved their metrics so that I can celebrate their achievements and consider new strategies for my own development.

Given that the user has settings enabled for peer notifications, when a peer surpasses their previous metrics by 20% or more, then the user should receive a notification alerting them of this development.

As a user in SkillBlink, I want to compare my progress in specific skills with peers focused on similar career paths so that I can gain insights tailored to my professional growth.

Given that the user is on the Real-time Peer Comparison Dashboard, when the user selects a specific skill related to their career path, then the comparison metrics displayed should only include peers who are also developing that specific skill, showing relevant data for a meaningful comparison.

As a user in SkillBlink, I want to see historical data on my skill development compared to peers so that I can track my progress over time and adjust my goals accordingly.

Given that the user is viewing the Real-time Peer Comparison Dashboard, when the user selects a date range within the historical data filter, then the dashboard should update to show the comparative historical data for the selected peers, highlighting growth trends over time.

Peer Feedback Mechanism

"As a user, I want to receive feedback from my peers on my skill assessments so that I can improve my learning strategies based on their insights."

Description

The Peer Feedback Mechanism enables users to solicit and provide feedback on skill assessments and learning strategies among their networks. Users can request insights from selected peers on specific skills or completed learning modules, facilitating a collaborative environment for shared learning. This feature will include templates for feedback and a rating system to quantify responses, making feedback actionable. The Peer Feedback Mechanism is essential for enhancing collaborative learning and ensuring users receive diverse perspectives that enrich their skill development journey.

Acceptance Criteria

User requests feedback from selected peers on a specific skill they are developing within the SkillBlink platform.

Given a user has completed a skill assessment, when they select 'Request Feedback' and choose peers from their network, then the selected peers should receive a notification with a feedback request.

A peer provides feedback on a user's skill assessment through the Peer Feedback Mechanism.

Given a peer receives a feedback request, when they click on the notification, then they should be directed to a feedback template where they can rate the user's performance and provide written comments.

User views the feedback received on their learning strategies after requesting input from peers.

Given a user has received feedback from their peers, when they navigate to the 'Feedback' section of their profile, then all feedback entries should be displayed in chronological order, including ratings and comments.

User utilizes a feedback template to solicit insights on a completed learning module.

Given a user selects a completed learning module and chooses to request feedback, when they fill out the feedback template and send it to peers, then the feedback request should be recorded and confirmatory message displayed to the user.

Admin configures the peer rating system within the Peer Feedback Mechanism settings.

Given the admin has access to the configuration settings, when they adjust the parameters of the peer rating system (e.g., scale from 1-5), then the changes should save successfully and reflect in the user interface for feedback.

User analyzes the aggregated feedback over time to improve their skills based on peer insights.

Given a user has requested multiple feedback entries over time, when they access their feedback history, then they should see an analytics summary that highlights trends, average ratings, and key comments for each skill.

Progress Sharing Feature

"As a user, I want to share my progress milestones with my peers so that I can celebrate my achievements and receive support for challenges I face."

Description

The Progress Sharing Feature allows users to share their progress milestones, achievements, and challenges with their network. Users can opt to share updates via social media integration or within the SkillBlink platform’s community feed. This requirement aims to encourage conversations around skill development and support for overcoming challenges. The Progress Sharing Feature is designed to enhance motivation, as users see recognition from peers and receive support, thus contributing to a more engaged learning community.

Acceptance Criteria

User successfully shares progress milestones with their network through the SkillBlink platform.

Given the user has achieved a milestone, When the user selects the 'Share Progress' option, Then the milestone is posted on the community feed and visible to their peers, with correct details displayed.

User integrates their SkillBlink account with a social media platform to share progress updates.

Given the user is logged into their SkillBlink account, When the user connects their social media account, Then they can share progress updates on that social media platform without errors.

Users receive notifications when their peers engage with their progress posts.

Given a user has shared a progress update, When other users like, comment, or share that post, Then the original user receives notifications in real-time about the engagement.

User can view engagement metrics for their shared progress updates.

Given a user has shared multiple progress updates, When the user accesses their progress sharing dashboard, Then they can see the number of likes, comments, and shares for each update.

User can edit or delete their shared progress updates.

Given the user has shared a progress update, When the user selects the 'Edit' or 'Delete' option, Then they can successfully modify or remove their post, and it reflects accurately in the community feed.

User can control the visibility settings for their shared progress updates.

Given the user is on the progress sharing settings page, When the user selects visibility options (public, friends only, private), Then the choice is saved and applied to their next shared update accordingly.

Peer Comparison Analytics

"As a user, I want to receive analytics reports about my skills compared to my peers so that I can take informed steps to improve my learning."

Description

The Peer Comparison Analytics feature provides users with deeper insights into their skill development relative to their peers through detailed reports and analytics. This will include performance trends over time, thickness of skill maps, and identification of skill gaps compared to the group. Integrating advanced analytics will help users understand their position in the context of their peer network and design targeted learning plans for improvement. This feature is crucial for empowering users to take actionable steps based on clear data-driven insights, enhancing their motivation and setting tailored learning goals.

Acceptance Criteria

User reviews their Peer Comparison Analytics dashboard after completing a learning module to assess their skill advancement relative to peers.

Given a user has completed a learning module, when they access their Peer Comparison Analytics dashboard, then they must see an updated skill performance chart that accurately reflects their new skill level compared to their peers' average.

A user compares their skill map against their peers to identify areas for improvement before their upcoming performance evaluation.

Given a user views their skill map, when they select the comparison option with peers, then they should see a highlighted section indicating skill gaps along with suggestions for targeted learning resources to address those gaps.

A user wants to track progress over time to understand trends in their skill development relative to their peer network.

Given a user accesses the performance trend report, when they select a specific skill, then they should see a visual representation of their skill progression over the past six months compared to their peers, including key milestones achieved by both parties.

Mentors utilize Peer Comparison Analytics during a coaching session to guide users on areas of focus for skill improvement.

Given a mentor is assisting a user with their skill development, when they open the Peer Comparison Analytics report, then they should be able to quickly identify at least three actionable insights based on the user’s relative performance against peers.

Users collaborate in groups to share strategies for overcoming common skill gaps highlighted in the Peer Comparison Analytics.

Given a user is part of a peer group, when they review the overall group insights on skill gaps, then they must have the ability to initiate a discussion thread for shared strategies based on the group’s collective performance data.

A user receives notifications on the Peer Comparison Analytics feature when their skills improve in comparison to their peers.

Given a user’s skill level has increased, when they check their notifications, then they must receive an alert summarizing their performance compared to peers, including the percentage of improvement and encouragement to continue their learning path.

The application reflects real-time updates in the Peer Comparison Analytics following a user's new skill acquisition.

Given a user has completed a certification, when they refresh their Peer Comparison Analytics dashboard, then the skill maps and metrics should immediately update to reflect this new achievement compared to peer averages.

Goal-Setting with Peer Accountability

"As a user, I want to set skill development goals with my peers so that we can hold each other accountable and motivate ourselves to achieve learning targets."

Description

The Goal-Setting with Peer Accountability feature allows users to set skill development goals and pair them with accountability partnerships among their peers. Users can create shared goals, set deadlines, and monitor each other’s progress through dedicated goal tracks. This requirement is aimed at fostering commitment and ongoing engagement, as peers remind each other of their targets and support each other in achieving them. Establishing this feature is vital for enhancing users' ability to remain focused, motivated, and accountable in their learning journey.

Acceptance Criteria

User creates a skill development goal and pairs with a peer for accountability.

Given a user is logged into their SkillBlink account, when they navigate to the goal-setting feature and successfully create a goal with a selected peer, then both users should receive a notification confirming the partnership and shared goal.

Users monitor progress on shared goals and deadlines.

Given a goal has been set between two users, when either user updates the progress on their skill development track, then the corresponding progress should reflect in real-time for both users, visible on their goal dashboard.

Peer reminders for goal deadlines.

Given a milestone deadline is approaching for a skill development goal, when the deadline is within 3 days, then both users should receive an automated reminder notification via email and within the SkillBlink platform.

Users can discuss and share challenges related to their goals.

Given two users are paired for accountability, when they access their shared goal page, then they should see a discussion forum section where they can post updates, challenges, and feedback regarding their progress.

Users can modify existing goals based on feedback or progress.

Given a user and their accountability partner agree to modify a goal, when the user accesses the goal-editing feature and submits changes, then the modifications should be visible to both users immediately and a confirmation message should be displayed.

Users celebrate achievements when goals are completed.

Given a user successfully completes their skill development goal, when the achievement is marked as completed, then both users should receive a congratulatory notification and a badge added to their profile reflecting the accomplishment.

Interactive Skill Dashboard

The Interactive Skill Dashboard provides a comprehensive overview of a user’s learning journey, offering visually appealing summaries of key metrics like time spent learning, completed certifications, and achieved skill levels. This centralized view enhances the user experience by allowing them to keep track of their progress and adjust their learning strategies accordingly.

Requirements

Skill Progress Visualization

"As a user, I want to see a visual representation of my learning achievements over time so that I can easily track my progress and stay motivated to continue my skill development."

Description

The Skill Progress Visualization requirement entails creating a dynamic graphical representation of a user's learning achievements over time. This visualization will display metrics such as skill levels attained, certifications completed, and learning milestones reached. It enhances user engagement and motivation by providing a clear picture of progress, ultimately encouraging continued participation and skill development. Implementing this feature will integrate seamlessly with the existing Interactive Skill Dashboard, utilizing data already collected to create an intuitive visual display that can be customized by users, allowing them to focus on the skills most relevant to their career goals.

Acceptance Criteria

User views their Skill Progress Visualization after completing a certification course to assess the impact on their overall skill levels and to plan further learning activities.

Given the user has completed a certification course, when they access the Skill Progress Visualization, then the dashboard should display an updated graphical representation reflecting the new skill levels and certification status immediately.

A user customizes their Skill Progress Visualization to focus on specific skills relevant to their career path for targeted learning strategies.

Given the user is on the Skill Progress Visualization page, when they select specific skills from the customization options, then the dashboard should update to reflect only the selected skills and display relevant progress metrics accurately and in real-time.

A user regularly checks their Skill Progress Visualization to monitor their learning milestones and adjust their study plans accordingly.

Given the user accesses the Skill Progress Visualization at regular intervals, when they review the dashboard, then all metrics such as skill levels and learning milestones should be displayed accurately and should reflect data from the last accessed date without discrepancies.

User attempts to share their Skill Progress Visualization with a mentor for feedback on their learning journey.

Given the user is logged into their account, when they click the 'Share' button on the Skill Progress Visualization, then a shareable link should be generated, allowing access to their overview while maintaining privacy for sensitive data.

User accesses their Skill Progress Visualization on a mobile device to check their learning progress on-the-go.

Given the user uses a mobile device to access the Skill Progress Visualization, when they view their dashboard, then it should be responsive and maintain usability across various screen sizes with all elements properly displayed.

User interacts with their Skill Progress Visualization to receive insights about their learning trends and areas for improvement.

Given the user explores the Skill Progress Visualization, when they hover over specific data points, then context-specific tooltips should appear, providing insights and suggestions for further skill development based on their progress data.

Real-time Feedback Mechanism

"As a user, I want to receive instant feedback during my learning activities so that I can adjust my strategies on the fly and improve my skills effectively."

Description

The Real-time Feedback Mechanism requirement focuses on providing users with immediate insights and suggestions during their learning activities. This feature would analyze user interactions and performance on assessments or exercises and offer tailored feedback prompting where to improve or adapt their learning strategies. This feedback loop enhances the learning experience by addressing users' needs in real time, encouraging a more adaptive learning path. The integration of this requirement into the Interactive Skill Dashboard will facilitate an immersive user experience and more effective learning outcomes.

Acceptance Criteria

User receives instant feedback on a skill assessment taken on the SkillBlink platform.

Given a user completes a skill assessment, when they submit their results, then they should receive personalized feedback within 5 seconds highlighting areas of improvement and recommended actions.

User accesses their Interactive Skill Dashboard to review learning performance after completing a set of modules.

Given a user accesses their Interactive Skill Dashboard, when they view the real-time feedback section, then they should see an updated summary of feedback based on their latest learning activities.

User engages with a learning module and requests additional guidance while performing activities.

Given a user is actively engaged with a learning module, when they request help within the interactive interface, then they should receive context-sensitive feedback and resources to assist them.

User's learning progress is automatically tracked and reflected in the dashboard after completing assessments.

Given a user completes an assessment, when their results are entered into the system, then their skill level should be updated in real time on their Interactive Skill Dashboard.

User compares their progress with peers through the Interactive Skill Dashboard.

Given a user accesses the comparison feature, when they view peer progress, then they should see calibrated feedback displaying how they rank based on skill achievement relative to peers in similar fields.

User receives a summary of feedback after completing a series of learning activities on the platform.

Given a user finishes a defined set of learning activities, when they access their dashboard, then they should see a consolidated feedback report detailing their strengths, weaknesses, and recommended actions for further development.

Collaborative Learning Groups

"As a user, I want to join collaborative learning groups with peers who share similar goals so that I can work together and enhance my learning experience."

Description

The Collaborative Learning Groups requirement introduces functionality that allows users to form and join study groups based on shared learning goals or skills. This feature will encourage peer interaction and support, enhancing the overall learning experience through collaboration on projects, sharing resources, and providing encouragement. By integrating this social element into the SkillBlink platform, users can leverage collective knowledge, improving engagement and motivation while fostering community around skill development. The capability to create, manage, and communicate within these groups will be integrated within the Interactive Skill Dashboard.

Acceptance Criteria

User creates a collaborative learning group focused on software development skills and invites peers to join.

Given a user is logged into the Interactive Skill Dashboard, when they select 'Create Group', enter a name and description, and click 'Create', then a new group should be successfully created and visible in the user's dashboard.

A user joins an existing collaborative learning group and accesses shared resources.

Given a user is logged into the Interactive Skill Dashboard, when they browse the list of available groups and click 'Join' on a group, then they should be successfully added to the group and able to view shared resources within that group.

Users communicate within their collaborative learning group using a chat feature.

Given a user is a member of a collaborative learning group, when they send a message in the group chat, then the message should appear in the chat history visible to all group members in real-time.

A user tracks their progress in the collaborative learning group projects.

Given a user is in a collaborative learning group, when they complete a milestone in their project, then they should be able to update their progress on the dashboard, which reflects in the group’s overall progress metrics.

Notifications are sent to group members about new resources or congratulations on project milestones.

Given a user is a member of a collaborative learning group, when a new resource is uploaded or a project milestone is completed by another member, then all group members should receive a notification on their dashboard.

A user leaves a collaborative learning group and is removed from it.

Given a user is a member of a collaborative learning group, when they select 'Leave Group', then they should be successfully removed from the group and no longer have access to its resources.

The user customizes their collaborative learning group settings.

Given a user is the admin of a collaborative learning group, when they update the group settings such as visibility or membership approval, then the changes should be saved and reflected on the group's page immediately.

Gamification Elements

"As a user, I want to earn rewards and badges for my learning achievements so that I feel motivated and recognized for my efforts."

Description

The Gamification Elements requirement seeks to incorporate game-like features such as badges, points, and leaderboards into the SkillBlink platform to increase user engagement and motivation. These elements will reward users for completing learning modules, participating in assessments, and collaborating with peers. By making the learning experience more interactive and fun, the gamification strategy will encourage continuous skill development and participation. This feature will be intricately designed to mesh with the Interactive Skill Dashboard, allowing users to view their achievements and how they stack up against peers, fostering a competitive yet communal environment.

Acceptance Criteria

User earns a badge after completing their first learning module on SkillBlink, which is visible on their dashboard.

Given that the user successfully completes their first learning module, when the system processes the completion, then the user should receive a notification of earned badge displayed on their dashboard.

User's total points are updated after participating in a peer assessment session.

Given that the user participates in a peer assessment, when the assessment is completed, then the user's points should reflect the participation in their interactive skill dashboard.

The leaderboard accurately ranks users based on total points earned from completed modules and participation in assessments.

Given multiple users have completed learning modules and assessments, when the leaderboard is generated, then it should accurately reflect their rankings based on total points earned, sorted in descending order.

Notifications are sent to users when they achieve a new skill level after completing learning modules.

Given that a user reaches a new skill level, when the system recognizes this change, then the user should receive a notification alerting them of their new skill level achievement.

The user’s achievements must be displayed clearly on the Interactive Skill Dashboard in a visually engaging manner.

Given that the user has earned multiple badges and completed various certifications, when they view their interactive skill dashboard, then all achievements should be displayed clearly and visually attractive to encourage further engagement.

The system tracks and displays the user's progress towards their next badge in real-time on their dashboard.

Given that a user is close to earning their next badge, when they view their dashboard, then they should see a progress bar indicating how many points or activities are required to earn the badge.

Users can filter the leaderboard to view their ranking against only their peer group.

Given that the user is on the leaderboard, when they choose to filter results by their peer group, then the leaderboard should update to show only the users within that group and their respective scores.

Customized Learning Paths

"As a user, I want to create a personalized learning path that aligns with my career goals so that I can efficiently develop relevant skills and knowledge."

Description

The Customized Learning Paths requirement focuses on allowing users to create and modify their learning plans based on personal career goals, skill assessments, and preferences. This feature will offer tailored recommendations for courses and certifications, ensuring that the learning experience is aligned with the user's unique aspirations. By integrating this capability into the Interactive Skill Dashboard, users can easily navigate their personalized learning journey, making informed decisions about their development while ensuring the platform is relevant and beneficial to their specific needs.

Acceptance Criteria

User creates a customized learning path based on their career aspirations and skill assessments.

Given a user is on the Interactive Skill Dashboard, when they select 'Create Learning Path', then they should be guided through a series of questions about their career goals and current skill levels before saving their customized path successfully.

User modifies an existing learning path to incorporate newly available courses or certifications.

Given a user has an existing learning path, when they click on 'Edit Learning Path', then they should be able to select new courses or certifications and save the updated path without errors.

User views statistics on their progress within the customized learning path.

Given a user has created a customized learning path, when they access the 'Progress Overview' section, then they should see visual representations of progress metrics such as completed courses, time spent, and skill levels achieved.

User receives tailored course recommendations based on their learning path.

Given a user has an active customized learning path, when they visit the 'Recommended Courses' section, then they should see a list of courses that align with their career goals and include options for skill improvement.

User tracks their achievements through the customized learning path.

Given a user completes a course in their learning path, when they check their certifications section, then the newly acquired certification should be displayed with the completion date and relevant details.

User seeks assistance in modifying their learning path from a mentor or peer.

Given a user is on their customized learning path, when they click on 'Ask for Assistance', then they should be able to send a request to a designated mentor or peer for guidance on suggested modifications.

User receives notifications about upcoming deadlines or new courses relevant to their learning path.

Given a user has set preferences for notifications in their account settings, when new relevant courses are added or deadlines approach, then the user should receive contextual notifications according to their preferences.

Expert Spotlight Sessions

Expert Spotlight Sessions feature renowned industry professionals who lead discussions and Q&A sessions on trending topics and advanced skills. This allows attendees to gain direct insights from experts, fostering deeper understanding and offering networking opportunities with seasoned leaders in their fields.

Requirements

Live Expert Interaction

"As a SkillBlink user, I want to participate in live sessions with industry experts so that I can gain valuable insights and ask questions about my career development."

Description

The Live Expert Interaction feature allows SkillBlink users to engage with industry professionals through live sessions, including discussions and Q&A formats. This capability enhances experiential learning by providing real-time insights into industry trends and advanced skills straight from the experts. The integration of video conferencing technology is critical to ensure smooth communication and engagement during these sessions. By facilitating direct interaction, this feature promotes networking opportunities, encourages peer-to-peer engagement, and enriches the learning experience, aligning well with SkillBlink's aim of fostering a collaborative learning environment.

Acceptance Criteria

User wants to join a live Expert Spotlight Session featuring an industry expert for insights into advanced skills and networking opportunities.

Given a scheduled Expert Spotlight Session, when the user clicks on the 'Join Session' button, then they should be directed to the live video conferencing interface without issues.

Users participating in a live session want to ask questions to the expert in real-time during the Q&A segment.

Given the live session is underway, when a user submits a question via the Q&A section, then the question should appear in the expert's dashboard for consideration within 30 seconds.

The platform needs to capture engagement metrics during a live session to evaluate user interaction and session effectiveness.

Given a live session has ended, when the session report is generated, then it should include metrics such as the total number of participants, questions asked, and average engagement time.

Users need to receive a notification about an upcoming Expert Spotlight Session that they have signed up for.

Given a user registers for an Expert Spotlight Session, when the session date approaches (24 hours prior), then an email and in-platform notification should be sent to the user.

Users want to provide feedback after participating in the Expert Spotlight Session to improve future sessions.

Given a user has completed participation in a live session, when they are prompted for feedback, then they should be able to submit a rating and comments, which should be stored in the session report.

Users wish to view recorded sessions after the live event is over for later reference or missed participation.

Given a live Expert Spotlight Session has concluded, when users navigate to the session page, then they should see a 'Watch Replay' option available with the recording accessible within 24 hours.

Users want seamless technical integration that supports multiple devices during a live session to ensure inclusivity.

Given a user connects to the live session, when they access it via different devices (e.g., desktop, tablet, mobile), then the session experience should be consistent and functional across all devices.

Session Recording and Playback

"As a SkillBlink user, I want to watch recordings of Expert Spotlight Sessions after they conclude, so that I can revisit the content at my convenience and reinforce my understanding."

Description

The Session Recording and Playback requirement enables users to access previously held Expert Spotlight Sessions on-demand. This feature is vital for accommodating users who may not be able to attend live sessions due to scheduling conflicts or those who wish to revisit intricate discussions. By offering a repository of recorded sessions, it ensures continuous learning opportunities and reinforces concepts discussed during live sessions. The implementation will require robust storage and playback capabilities within the platform, allowing smooth access without compromising user experience.

Acceptance Criteria

User accesses a previously recorded Expert Spotlight Session from their dashboard to catch up on missed content.

Given a user is logged in to SkillBlink, when they navigate to the Expert Spotlight Sessions section and select a recorded session, then the session should begin playback without buffering issues, and controls for play, pause, and rewind are functional.

A user wishes to share a recorded session with a colleague who is not part of the platform.

Given a user is viewing a recorded Expert Spotlight Session, when they click the 'Share' button, then a unique shareable link should be generated that grants access to the recording for 24 hours, without requiring the recipient to log in.

A user wants to filter recorded sessions by topic or date for easier access to relevant content.

Given a user is on the Expert Spotlight Sessions repository, when they apply filters for topic or date, then the displayed list of recorded sessions should refresh to include only the sessions matching the applied filters.

A user is interested in checking the availability of recordings for all Expert Spotlight Sessions held in the past month.

Given a user is on the recorded sessions page, when they select a filter for 'Last Month', then only the sessions held in the previous month should be displayed.

A user encounters an error while trying to play back a recorded session.

Given a user attempts to playback a recorded session, when the playback fails, then an error message should be displayed with the option to report the issue.

The system administrator performs an analysis of user engagement with recorded sessions to improve future content.

Given the session recording data is stored, when the administrator accesses the analytics dashboard, then they should be able to view metrics such as total views, average watch time, and user feedback for each recorded session.

Users want to revisit specific parts of the conversation during a recorded session.

Given a recorded session contains timestamps, when a user views the session, then they should have the ability to click on specific timestamps in the session summary to jump to those points in the playback.

Expert Assessment Integration

"As a SkillBlink user, I want to take assessments after attending Expert Spotlight Sessions so that I can evaluate my understanding and solidify my learning."

Description

This requirement involves integrating performance assessments linked to the Expert Spotlight Sessions, allowing users to test their understanding and application of the knowledge received. The integration will feature quizzes or skill assessments following each session, providing users with feedback on their learning journey. This function effectively bridges the gap between learning and practical application, enhancing users' retention and satisfaction. Furthermore, data from these assessments could contribute to personalized learning paths within the SkillBlink platform, ensuring relevance and tailoring content to user needs.

Acceptance Criteria

User completes a session of Expert Spotlight and accesses the quiz immediately thereafter to assess understanding and retention of key concepts discussed.

Given the user has attended an Expert Spotlight session, when they navigate to the session summary page, then they should see a quiz link that allows them to take the assessment.

User completes the quiz associated with the Expert Spotlight session and receives immediate feedback with correct answers and learning insights.

Given the user has completed the quiz, when they submit their answers, then they should receive immediate feedback indicating their score and the correct answers with explanatory content for each question.

Users can track their performance over time based on the results from Expert Spotlight assessments and adapt their learning paths accordingly.

Given the user has taken multiple quizzes from different Expert Spotlight sessions, when they visit the progress tracking section, then they should see a comprehensive report of their performance over time, including average scores and areas for improvement.

Users can link quiz results to customizable certification achievements within the SkillBlink platform, highlighting their expertise.

Given the user has achieved a passing score on the quizzes for a specific number of Expert Spotlight sessions, when they complete the requirements, then they should receive a notification to claim a certification related to that expertise.

Mentors can review aggregated performance data of their mentees from Expert Spotlight assessments to provide tailored guidance.

Given the mentor has access to their mentee's performance data, when they access the insights on the mentee’s quiz results, then they should be able to see an overview of strengths, weaknesses, and recommended resources for improvement.

Users are reminded to complete assessments following an Expert Spotlight session, ensuring increased assessment participation rates.

Given the user has attended an Expert Spotlight session, when the session ends, then they should receive an automated reminder notification to complete the assessment within the next 24 hours via their platform dashboard and email.

Expert Feedback Mechanism

"As a SkillBlink user, I want to receive feedback from experts after sessions so that I can gain personalized advice and enhance my skills more effectively."

Description

The Expert Feedback Mechanism allows users to receive personalized feedback from experts after participating in the sessions. This feature is essential in providing deeper insights and guidance tailored to individual users' queries and submissions. Not only does it enhance the user experience by fostering a mentor-like relationship with industry leaders, but it also increases user engagement by encouraging them to actively participate and pose questions during the sessions. Implementation will involve designing a structured feedback framework and ensuring a seamless communication channel between experts and users.

Acceptance Criteria

User receives personalized feedback from an expert after attending an Expert Spotlight Session.

Given a user completed an Expert Spotlight Session, when they submit their questions or queries for feedback, then they should receive a personalized response from the expert within 48 hours.

Users can review and rate the feedback given by experts for future improvements.

Given that a user has received feedback, when they access the feedback received, then they should be able to rate it on a scale of 1 to 5 stars and provide optional comments.

Communication between users and experts is seamless and efficient.

Given the Expert Feedback Mechanism is in use, when users click on the feedback link provided after a session, then they should be directed to a dedicated feedback form with clear instructions and an easy submission process.

Users are notified when experts provide feedback.

Given that a user has submitted a request for feedback, when the expert provides their feedback, then the user should receive an email notification and an in-app notification confirming that the feedback is available to view.

Users can track their feedback history to monitor their progress.

Given a user has received multiple feedbacks from different sessions, when they access their profile, then they should see a feedback history section that lists all feedback received, along with the date and expert's name.

Experts can view the questions submitted by users prior to the session.

Given an upcoming Expert Spotlight Session, when an expert logs into the platform, then they should see a dashboard with the list of questions submitted by users in advance, categorized by topic.

Feedback session analytics are available for platform administrators to assess the effectiveness of the feedback mechanism.

Given that feedback has been collected over a period, when an administrator accesses the analytics dashboard, then they should see metrics that include average user ratings of feedback, number of sessions conducted, and user engagement statistics.

Networking Opportunities

"As a SkillBlink user, I want to network with other attendees and experts during sessions so that I can build meaningful professional relationships and collaborate on shared interests."

Description

The Networking Opportunities feature within Expert Spotlight Sessions enables attendees to connect with one another and industry experts during and after the sessions. This will include features such as chat rooms, forums, and the ability to exchange contact information or social media profiles, fostering an environment of collaboration. The implementation of these networking tools is crucial to maximizing the value of the sessions, encouraging participation, and allowing users to form networks that last beyond the platform's environment, thus enriching their professional lives.

Acceptance Criteria

Attendee participation in the Expert Spotlight Session’s chat room to engage with industry experts and fellow participants in real-time during discussions.

Given an attendee is logged into the Expert Spotlight Session, when they access the chat room, then they can send messages, see messages from others, and receive replies, fostering real-time interaction.

Post-session networking opportunities provided through a dedicated forum where attendees can discuss the session topics and share insights after the session has concluded.

Given that the Expert Spotlight Session has ended, when an attendee navigates to the forum, then they can access session-related threads, create new topics, and respond to existing topics.

Participants want to share their contact information with industry experts and fellow attendees to facilitate future networking.

Given an attendee is participating in the Expert Spotlight Session, when they click on an option to share their contact information, then they are prompted to enter their details and can choose to send this information to selected users.

Opportunity for attendees to invite others to join networking discussions, expanding the reach of professional connections established during the sessions.

Given an attendee is in the networking area after the session, when they select an option to invite others, then they can send invites to specific attendees or share a link via social media platforms.

Attendees wish to follow up on conversations had during the Expert Spotlight Session with the industry expert after the session is over.

Given an attendee wants to continue networking with an expert, when they access the expert's profile, then they can see available contact options and send a connection request.

Seamless integration of social media profiles within the networking features to enhance the connection process for users.

Given an attendee wants to share their social media profile, when they access the networking tools, then they can link one or more social media accounts on their profile for others to view.

Interactive Skill Showcases

Interactive Skill Showcases enable users to present their projects or skills in a live setting, encouraging engagement from peers and mentors. This feature promotes hands-on learning and allows users to receive constructive feedback, enhancing their confidence and visibility in the professional community.

Requirements

Live Showcase Creation

"As a user, I want to create a live skill showcase so that I can present my projects to my peers and mentors and receive valuable feedback to enhance my skills and professional visibility."

Description

This requirement involves enabling users to create and manage live showcases where they can present their projects or skills interactively. Users should be able to set the date, time, and duration of the showcase, as well as customize the presentation format (e.g., video, screen sharing, Q&A session). This feature will allow for better organization and user engagement, fostering a community of learning and feedback. The importance of this requirement lies in providing a structured platform for skill demonstration and peer interaction, enhancing users' confidence and visibility within their professional community.

Acceptance Criteria

User successfully creates a live showcase with specified date and time.

Given the user is logged in, when they navigate to the 'Create Showcase' page, enter a valid date, time, and duration, and click 'Save', then the showcase is created and visible in their dashboard with correct details.

User customizes the presentation format for their live showcase.

Given the user is on the 'Create Showcase' page, when they select a presentation format (e.g., video, screen sharing, Q&A) and click 'Save', then the selected format should be reflected in the showcase details.

User receives confirmation after creating a live showcase.

Given the user has successfully created a live showcase, when they view the confirmation message, then the message should indicate 'Showcase created successfully' with the details of the showcase listed.

User can edit an existing live showcase.

Given the user has a live showcase scheduled, when they navigate to the showcase details, make changes to the date, time, or format, and click 'Update', then the changes should be saved and displayed correctly in the showcase details.

Users can view all scheduled live showcases in their dashboard.

Given the user is logged in, when they go to their dashboard, then all live showcases they have created should be listed with accurate date, time, and format details.

User can delete an existing live showcase.

Given the user has a live showcase scheduled, when they navigate to the showcase details and click 'Delete', then the showcase should be removed from their dashboard and a confirmation message should be displayed.

Participants can join a live showcase at the scheduled time.

Given a user is a registered participant of a live showcase, when the showcase time arrives and they click the join link, then they should be taken to the live showcase session with no errors.

Peer Feedback System

"As a user, I want to receive feedback from my peers after my showcase so that I can understand my strengths and areas for improvement, helping me to grow professionally."

Description

This requirement encompasses the development of a feedback system that allows peers and mentors to provide constructive feedback during and after a live showcase. The feedback mechanism should allow for text comments, ratings, or structured feedback forms that can be easily accessed by both the presenter and the reviewers. This feature is essential for encouraging constructive criticism and collaboration among users, enhancing the learning experience through diverse viewpoints. It integrates directly with the live showcase feature, ensuring that feedback is contextual and timely, further supporting user development and growth.

Acceptance Criteria

Peer feedback is solicited from mentors and peers during an Interactive Skill Showcase session, allowing participants to provide immediate and constructive input on the presenter's work.

Given a live Interactive Skill Showcase session, when mentors and peers are present, then they can submit feedback through text comments and ratings within 5 minutes of the presentation conclusion.

Users must be able to access feedback provided for their Interactive Skill Showcase after the session ends to review and incorporate suggestions into their work.

Given that the Interactive Skill Showcase has concluded, when the user accesses their profile, then they should see a 'Feedback' section that includes all received comments and ratings organized by date.

The feedback system should allow users to categorize feedback into predefined categories such as 'Strengths', 'Areas for Improvement', and 'Suggestions'.

Given that feedback has been submitted by peers or mentors, when viewing their feedback, then users should be able to filter comments by category for easier navigation and analysis.

Users should receive notifications when feedback is submitted regarding their presentation to ensure they don't miss valuable insights.

Given that feedback is submitted after an Interactive Skill Showcase, when the feedback is added, then the presenter should receive an email notification within 10 minutes of the feedback submission.

Mentors should be able to provide feedback using a structured feedback form that includes both text and rating options to standardize responses.

Given that a mentor is providing feedback, when they access the feedback system, then they should see a structured form with fields for text comments, a rating scale from 1-5, and optional categories for feedback type.

The system should allow users to edit or delete their submitted feedback within a certain time frame after submission.

Given that a user has submitted feedback, when they navigate to their feedback history within the first 30 minutes, then they should have the option to edit or delete their comments or ratings.

Feedback should be analyzed to provide users with aggregated statistics, such as average rating and common themes among suggestions.

Given that feedback has been collected for an Interactive Skill Showcase, when the presenter views their feedback summary, then they should see aggregated statistics like average rating and a list of common themes identified in the feedback comments.

Showcase Recording Feature

"As a user, I want to record my live showcase so that I can review my presentation later and share it with potential employers."

Description

This requirement involves the implementation of a feature that allows users to record their live showcases for future reference and review. Users should be able to access these recordings to reflect on their performance, share them with others, or use them as portfolio pieces on their profiles. The integration of this feature with cloud storage and playback capabilities is crucial for ensuring that users can easily save and retrieve their showcases. This feature enhances the learning experience by allowing users to revisit their presentations, facilitating continuous improvement and self-assessment.

Acceptance Criteria

User access to the Showcase Recording Feature during a live skill showcase for capturing their presentationing performance.

Given a user is in a live showcase session, when the user selects the 'Record' button, then the system should begin recording the showcase and display a visual indicator that recording is in progress.

User review and playback of previously recorded showcases to assess their performance and gather feedback.

Given a user wishes to review a previously recorded showcase, when the user navigates to the 'My Showcases' section, then they should see a list of all recorded showcases with playback options for each recording.

User sharing of recorded showcases with peers or mentors for feedback after completion of their live presentations.

Given a user has completed a showcase recording, when they select the 'Share' button, then the system should generate a shareable link that the user can send to peers or mentors, with options to set viewing permissions.

System integration with cloud storage for saving recordings after a user finishes a showcase.

Given a user has finished a live showcase and recording, when the recording is stopped, then the system must automatically save the recording to the user's designated cloud storage with appropriate metadata (date, time, title).

User's ability to view their recording history, including details of each recording session.

Given a user views their recording history, when they access the 'Recording History' section, then they should see a chronological list of all showcase recordings along with timestamps and options to delete or download the recordings.

Confirmation prompt for users before finalizing the recording to prevent accidental loss.

Given a user is about to stop the recording, when they click the 'Stop' button, then the system should prompt the user with a confirmation message to confirm they wish to stop and save the recording.

User feedback mechanism to rate and review the recording functionality after use.

Given a user has completed a showcase recording and playback, when they access the feedback section, then they should be able to rate their experience and leave comments regarding the recording feature.

Skill Assessment Integration

"As a user, I want to integrate skill assessments into my showcase so that I can demonstrate my mastery in real-time and receive feedback on my performance."

Description

This requirement focuses on integrating interactive skill assessments with the showcase feature, allowing users to demonstrate their competencies in real-time. Users should be able to select relevant skills to showcase during their presentations, while the platform collects data to provide performance analytics post-showcase. This integration serves multiple purposes: it validates users' skills, helps them identify their strengths and weaknesses, and provides a more engaging way for users to highlight their professional capabilities during showcases. The effectiveness of this requirement plays a critical role in promoting skill development through hands-on application.

Acceptance Criteria

User selects skills to showcase during a live presentation in front of peers and mentors.

Given a user is logged into SkillBlink, when they navigate to the Interactive Skill Showcases page, then they can select from a list of their assessed skills to present during the showcase.

The system collects performance analytics during the skill showcase.

Given the showcase is in progress, when a user demonstrates their skills, then the platform logs all interaction data for performance analytics and feedback generation.

Mentors provide feedback on users' showcased skills during the live presentation.

Given a mentor is viewing a user's showcase, when the user finishes their presentation, then the mentor can submit feedback instantly through an integrated feedback form.

Post-showcase, users receive a performance analytics report summarizing their strengths and weaknesses based on the showcase.

Given the showcase has concluded, when a user accesses their profile dashboard, then they should see a detailed performance analytics report generated from their showcase data within 24 hours.

Users can edit their skill selections prior to the start of the showcase.

Given a user is on the skill selection page, when they choose skills to showcase, then they should have the option to edit or remove their selections at any time before the showcase begins.

The system supports multiple simultaneous showcases for different user groups.

Given the platform's capacity, when multiple users initiate their showcases at the same time, then all showcases should run without performance degradation or errors.

Users can receive notifications for upcoming showcases they are participating in or attending as an audience member.

Given a user has registered for an upcoming showcase, when the showcase date approaches, then the user receives a notification reminder 24 hours prior to the event.

Event Reminder Notifications

"As a user, I want to receive reminders about my upcoming showcases so that I can prepare in advance and not miss the opportunities to showcase my skills."

Description

This requirement involves creating a notification system that alerts users about upcoming live showcases they are involved in or have expressed interest in attending. Notifications should be customizable and can be sent via email or in-app alerts, ensuring users are adequately reminded to participate. This feature enhances user engagement and attendance rates at showcases, fostering a vibrant community of learners. By integrating with calendar applications, users can also sync these events into their personal schedules, making participation easier and encouraging ongoing interaction.

Acceptance Criteria

User receives a notification 24 hours before their scheduled interactive skill showcase to remind them to prepare and participate.

Given the user is registered for an interactive skill showcase, when the system triggers a notification 24 hours prior, then the user must receive an email and an in-app alert reminding them of the showcase.

Users can customize their notification preferences for interactive skill showcases via their account settings.

Given the user is on the notification settings page, when they select their preferred notification method (email, in-app alerts, or both), then the system should save these preferences and apply them to future event notifications.

Users can synchronize their showcase events with popular calendar applications (Google Calendar, Outlook, etc.).

Given the user opts to sync their interactive skill showcase events with their calendar application, when they click the sync button, then the events should appear in their selected calendar with correct date and time information.

Users are notified of any changes to the schedule or cancellation of the interactive skill showcases they have signed up for.

Given a scheduled showcase is cancelled or rescheduled, when the change is made, then all registered users should receive a notification via their selected notification method informing them of the update.

Users can access a history of past notifications concerning their interactive skill showcases.

Given the user navigates to the notification history section, when they view their past notifications, then they must see an ordered list of all notifications related to their skill showcases, including dates and event details.

Users should be able to opt-out of notifications while maintaining their account and preferences.

Given the user is in their notification settings, when they select the option to opt-out of all notifications, then the user should no longer receive any alerts while retaining their saved preferences for potential future use.

Networking Lounge

The Networking Lounge is a dedicated virtual space for informal interactions among attendees before and after events. By facilitating casual conversations and connections, this feature helps users build relationships and expand their professional network organically.

Requirements

User Authentication

"As a professional user, I want to securely log into the Networking Lounge so that I can connect with other attendees without worrying about my data security."

Description

The User Authentication requirement ensures that users can securely and efficiently log into the Networking Lounge using various authentication methods, including email/password combinations, social media logins, and single sign-on (SSO) options. This functionality is vital for maintaining user privacy and securing personal data. By implementing multi-factor authentication (MFA), users will have increased security while accessing their accounts, especially when virtual networking connections involve sensitive professional exchanges. A seamless user authentication experience will alleviate barriers to entry, encouraging higher user engagement in the Networking Lounge environment.

Acceptance Criteria

User logs into the Networking Lounge using email and password.

Given the user has registered and has a valid email/password, When the user enters the correct credentials on the login page, Then the user should be successfully logged into the Networking Lounge and directed to the main interface.

User logs into the Networking Lounge using social media login.

Given the user has chosen to log in via a social media account, When the user selects a social media option and authorizes access, Then the user should be successfully logged into the Networking Lounge using their social media credentials.

User accesses the Networking Lounge using Single Sign-On (SSO).

Given the user is part of an organization that uses SSO, When the user selects the SSO option and enters their organizational credentials, Then the user should be securely logged into the Networking Lounge without needing to re-enter their password.

User initiates multi-factor authentication (MFA) during login.

Given the user has MFA enabled on their account, When the user logs in and enters their password, Then the system should prompt the user to verify their identity using the selected MFA method (SMS, email, authenticator app) before granting access to the Networking Lounge.

User fails to log in due to incorrect credentials.

Given the user has entered an invalid email or password, When the user submits the login form, Then the user should receive an error message indicating that the credentials are incorrect and be prompted to try again.

User successfully changes their password for the Networking Lounge.

Given the user is logged into their account, When the user navigates to the 'Change Password' section, enters their current password and a new password, and submits the form, Then the user's password should be updated successfully and the user should receive a confirmation message.

User retrieves their forgotten password via email.

Given the user is on the login screen and selects the 'Forgot Password' link, When the user enters their registered email address and submits the request, Then the user should receive an email with instructions to reset their password within a specified time frame (e.g., 5 minutes).

Chat Functionality

"As an attendee, I want to chat with other participants in the Networking Lounge so that I can establish connections and engage in meaningful conversations."

Description

The Chat Functionality requirement introduces real-time messaging capabilities that allow users to communicate one-on-one or in group settings within the Networking Lounge. This feature enhances informal interactions, enabling users to initiate conversations, share ideas, and establish rapport in a relaxed environment. The chat system will support emoji reactions, file sharing, and message history, ensuring enriching interactions between peers. By fostering spontaneous dialogue before and after events, users can strengthen their professional relationships, thus enriching the networking experience.

Acceptance Criteria

User initiates a one-on-one chat in the Networking Lounge.

Given a user is logged into the Networking Lounge, when they select another user's profile and click on 'Chat', then a chat window should open, allowing them to send messages in real time.

User sends and receives messages in a group chat within the Networking Lounge.

Given multiple users are in a group chat, when any user sends a message, then all users in the group should receive the message instantly without delay.

User uses emoji reactions during a chat conversation.

Given a user is engaged in a chat, when they click on the emoji button and select an emoji, then the selected emoji should appear next to their message, indicating their reaction to the conversation.

User shares a file in the chat.

Given a user is in a chat, when they click on the 'Upload' button to share a file, then the file should be successfully uploaded and visible to all participants in the chat.

User checks message history in the chat.

Given a user has had previous conversations in the chat, when they open the chat window, then they should see the complete message history for that chat session.

User leaves the chat and receives a notification for missed messages.

Given a user leaves a chat while others are still conversing, when they return to the chat later, then they should see a notification indicating how many messages they missed along with the option to view them.

User adjusts privacy settings for chat visibility.

Given a user is in the Networking Lounge, when they access their settings and modify the chat visibility options, then the changes should be saved, and the user's chat presence should reflect the new settings immediately.

Event Calendar Integration

"As a user, I want to see a calendar of upcoming events in the Networking Lounge so that I can plan my networking activities in advance."

Description

The Event Calendar Integration requirement allows users to view upcoming networking events directly within the Networking Lounge, making it easy for attendees to plan their participation. This integration will showcase event dates, times, and descriptions, and allow users to RSVP or add events to their personal calendars. Additionally, the system will send reminders to users before events, ensuring maximum attendance and participation. This feature not only enhances user experience by organizing events efficiently but also increases the likelihood of meaningful interactions during networking sessions.

Acceptance Criteria

User views the Event Calendar in the Networking Lounge to find upcoming networking events and plans to attend them.

Given a user is logged into the Networking Lounge,When the user navigates to the Event Calendar,Then they should see a list of upcoming networking events with event dates, times, and descriptions.

User RSVPs for an event from the Event Calendar.

Given a user is viewing an upcoming networking event,When they click on the RSVP button for that event,Then the event should be added to their personal calendar and a confirmation message should be displayed.

User receives reminders for upcoming events they have RSVPed to.

Given a user has RSVPed to an event,When the scheduled reminder time arrives (e.g., 1 day before the event),Then the user should receive an email notification reminding them of the event.

User wants to add an event from the Event Calendar to their personal calendar.

Given a user is viewing the details of a networking event,When they click on the 'Add to Calendar' option,Then the event should be downloadable in a compatible format (e.g., iCal or Google Calendar).

User views the Event Calendar and wants to filter events by date.

Given a user is on the Event Calendar page,When they select a date filter option,Then only networking events occurring on or after the selected date should be displayed.

User accesses the Event Calendar without errors.

Given the user navigates to the Event Calendar,When the page loads,Then there should be no loading errors, and all event data should be displayed correctly.

User attempts to RSVP to a full event and receives appropriate feedback.

Given a user tries to RSVP for an event that has reached maximum capacity,When they click on the RSVP button,Then a message should be displayed indicating that the event is full and they cannot RSVP.

Profile Customization

"As a user, I want to customize my profile in the Networking Lounge so that I can present myself authentically to potential connections."

Description

The Profile Customization requirement enables users to personalize their profiles with relevant professional details, including skills, achievements, and interests. Users can upload profile pictures, link to social media accounts, and add descriptions that highlight their expertise. Enhanced profiles will facilitate more organic connections by allowing users to better understand who they might want to connect with in the Networking Lounge. By providing users the tools to showcase their professional identity, SkillBlink enhances engagement and drives more substantial networking opportunities.

Acceptance Criteria

User uploads a profile picture to their SkillBlink profile during the initial setup process.

Given a user is on their profile customization page, when they upload an image file as their profile picture, then the image should display correctly on the profile and should be saved successfully.

User links their SkillBlink profile to their social media accounts.

Given a user has access to their profile customization settings, when they input valid URLs for their social media accounts, then these links should be saved and clickable from the profile view.

User adds skills, achievements, and interests to their profile.

Given a user is editing their profile, when they enter text into the fields for skills, achievements, and interests, then this information should be stored and displayed accurately on their public profile.

User views their customized profile in the Networking Lounge.

Given a user has completed their profile customization, when they navigate to the Networking Lounge, then their customized profile should be visible to other users, reflecting all updates made.

User edits their profile description highlighting their expertise.

Given a user is on their profile page, when they update the description field and save the changes, then the updated description should be displayed correctly without errors.

User receives feedback on their profile from peers in the Networking Lounge.

Given a user has a customized profile, when peers interact with their profile, then the user should receive notifications or messages regarding any feedback or connection requests based on their profile information.

User removes a profile picture and reverts to a default image.

Given a user is on their profile settings page, when they select the option to remove their current profile picture, then the profile should revert to the default image immediately, without errors.

Connection Recommendations

"As a user, I want to receive recommendations for professionals I should connect with in the Networking Lounge, so that I can expand my professional network effectively."

Description

The Connection Recommendations requirement uses AI algorithms to suggest potential networking connections to users based on their profiles, interests, and event attendance. This feature aims to facilitate more effective networking by highlighting users with similar professional goals and backgrounds. By providing personalized suggestions, it increases the likelihood of meaningful exchanges, enhancing the overall networking experience. Users can review suggested connections and decide whether to initiate a chat or send a connection request, thereby promoting engaging interactions in the Networking Lounge.

Acceptance Criteria

User receives personalized connection suggestions after logging into the Networking Lounge for the first time.

Given the user has completed their profile with interests and attended previous events, when they access the Networking Lounge, then they receive at least three relevant connection recommendations based on their profile and event history.

Users can view detailed profiles of suggested connections before deciding to reach out.

Given the user clicks on a recommended connection, when the user views the connection's profile, then they can see the connection's professional background, interests, and past event attendance to inform their decision.

Users can send connection requests to recommended users seamlessly from the suggestion list.

Given the user sees a recommended connection, when they click the 'Send Connection Request' button, then a confirmation message should appear, indicating that the request has been sent successfully.

Users are able to receive feedback on their connection requests.

Given the user has sent a connection request, when the request is accepted or declined by the recipient, then the user receives a notification detailing the status of their request within 24 hours.

Connection recommendations are dynamically updated based on user interactions within the Lounge.

Given the user interacts with connections and participates in discussions, when they return to the Networking Lounge, then the suggested connections should reflect their latest activities and interests to enhance relevance.

Users can provide feedback on the relevance of suggested connections to improve the algorithm.

Given the user has reviewed recommendations, when they select 'Relevant' or 'Not Relevant' for a suggested connection, then their feedback should be recorded and used to improve future connection suggestions.

The AI algorithm generating connection recommendations is tested for accuracy and relevance.

Given a sample group of users, when the connection recommendation algorithm is evaluated, then at least 75% of users should find the suggested connections relevant based on a post-interaction survey.

Feedback and Ratings

"As a user, I want to leave feedback and ratings for my networking experiences in the Lounge, so that I can help improve the community interactions."

Description

The Feedback and Ratings requirement allows users to provide feedback on their networking experiences within the Lounge, including rating their connections and the value of interactions. This feature can facilitate community-driven improvements, aiding users in refining their networking strategies. Collected feedback can also be used to highlight top performers within the community, fostering a sense of accountability and recognition. By integrating feedback mechanisms, SkillBlink can continuously enhance the quality of engagements in the Networking Lounge, leading to increased user satisfaction.

Acceptance Criteria

User submits feedback and ratings for a network connection after an event in the Networking Lounge.

Given a user has completed an event and has at least one connection, When the user accesses the Feedback and Ratings feature, Then the user must be able to submit a rating (1-5 stars) and an optional comment for each connection.

User views feedback received from peers about their networking interactions.

Given a user has received feedback on their connections, When the user navigates to the feedback section in the Networking Lounge, Then the user must see a list of all feedback received, including ratings and comments from their connections.

System aggregates user feedback to identify top performers in the Networking Lounge.

Given a set time period after an event, When the system calculates the average ratings and feedback comments for all users' connections, Then the system must identify and display the top 5 performers based on highest average ratings on the community leaderboard.

User edits a previously submitted feedback after receiving new information about the connection.

Given a user previously submitted feedback for a connection, When the user accesses the feedback section and selects the specific feedback entry, Then the user must be able to edit the rating and comment and successfully save the changes.

User receives notifications when new feedback is provided on their interactions in the Networking Lounge.

Given a user has received feedback on a connection, When the feedback is submitted by another user, Then the user must receive a notification alerting them of the new feedback in real-time.

Admin reviews all feedback submitted for moderation purposes to ensure community standards are met.

Given that feedback has been submitted by users, When the admin accesses the moderation panel, Then the admin must be able to view, approve, or reject any feedback based on community guidelines.

Live Polling & Q&A

Live Polling & Q&A allows participants to engage in real-time discussions by submitting questions and voting on topics during events. This interactive element ensures that sessions remain relevant to user interests and encourages active participation, enhancing the overall experience.

Requirements

Real-Time Question Submission

"As a participant in a live event, I want to easily submit my questions in real-time, so that I can contribute to the discussion and clarify points while they're still relevant."

Description

Real-Time Question Submission allows participants to submit questions during live events in an interactive manner. This requirement includes functionalities that enable users to type and send questions quickly, ensuring they can contribute to the discussion at any moment without delays. The benefit of this feature is that it promotes engagement by allowing users to express their interests and concerns as they arise, making sessions more dynamic and relevant. The integration with SkillBlink's platform will involve linking this functionality to the event's interface, ensuring easy access and visibility for all users, thus enhancing their ability to participate effectively.

Acceptance Criteria

Participants can submit questions during a live event using the Real-Time Question Submission feature.

Given a live event is in progress, when a participant types a question into the submission field and clicks the 'Submit' button, then the question should be added to the queue of questions visible to all participants within 2 seconds.

Participants view their submitted questions during the live event.

Given a participant has submitted a question during a live event, when they look at the submitted questions section, then their question should be displayed alongside an indication of whether it has been addressed or remains unanswered.

Participants can see questions submitted by other participants during the live event.

Given a live event is in progress, when a participant accesses the live polling interface, then they should see a real-time list of all submitted questions organized by popularity (number of votes) and timestamp.

Participants receive feedback when their questions are answered during the live event.

Given a question submitted by a participant is answered during a live event, when the moderator provides a response, then the participant who submitted the question should receive an in-app notification with the response within 30 seconds of the answer being given.

The Real-Time Question Submission tool is integrated with the event's overall interface.

Given the live event interface is loaded, when a participant accesses the event dashboard, then the Real-Time Question Submission feature should be prominently displayed and easily accessible without requiring additional clicks beyond the event entry.

Participants can cancel their submitted questions prior to them being addressed.

Given a participant has submitted a question during a live event, when they click the 'Cancel' button next to their question, then the question should be removed from the queue and not visible to other participants.

Live Polling Feature

"As a participant, I want to be able to vote on topics during the live event, so that I can influence the direction of the discussion based on what I find most interesting."

Description

The Live Polling Feature enables users to vote on a set of predefined topics or questions during events, creating an interactive environment. This functionality allows participants to express their opinions and preferences in real-time, fostering engagement and making sessions more responsive to user interests. By showing live results, this feature not only encourages participation but also provides presenters with immediate feedback on attendee sentiment, allowing them to adjust their content dynamically. This requirement should seamlessly integrate with existing UI elements in SkillBlink, providing a user-friendly experience.

Acceptance Criteria

User submits a question during a live event using the Live Polling Feature.

Given the Live Polling Feature is active, when a user inputs a question and clicks 'Submit', then the question should appear in the Q&A section for all attendees to see within 5 seconds.

Participants are able to vote on predefined polling questions during an event.

Given a live event is ongoing with active polling questions displayed, when a user selects an option and clicks 'Vote', then the user's vote should be counted and the updated polling results should be visible to all participants within 3 seconds.

Live results of the polling are displayed in real-time during the event.

Given that participants are voting on a polling question, when the votes are submitted, then the results should refresh automatically every 5 seconds and reflect the current voting state accurately on the screen without requiring a page refresh.

The session presenter is able to view live Q&A questions and polling results during the event.

Given that an event is in progress, when the presenter accesses the dashboard, then they should see an updated list of questions submitted and polling results in real-time, clearly indicating the top voted question by attendees.

Users can cancel their vote before the polling closes.

Given a live poll is ongoing, when a user clicks on their previously selected option again, then their vote should be removed, and the total votes count should adjust accordingly within 2 seconds.

Polling closes after the event or at a designated time by the presenter.

Given that the scheduled end time for polling has been reached or the presenter closes the poll, then no further voting should be allowed, and a summary of the final results should be displayed to all participants immediately.

Interactive Results Display

"As a presenter, I want to see real-time results of polls and questions, so that I can modify my presentation content to better meet the audience's interests during the session."

Description

The Interactive Results Display provides real-time visual feedback on polling results and question submissions during events. This display shows aggregated data in an engaging format, such as graphs or charts, enabling participants and presenters to easily interpret the results and changes throughout the session. This requirement aims to enhance transparency and involvement, allowing participants to see how their contributions have influenced the discussions. Integrating this feature with existing platforms requires a focus on usability, ensuring that updates are fast and engaging.

Acceptance Criteria

Participants can submit questions during a live event, and the submitted questions are displayed in real-time on the Interactive Results Display, allowing for a dynamic Q&A session.

Given a live event is in progress, when a participant submits a question, then the question should appear on the Interactive Results Display within 5 seconds and remain visible to all attendees.

Polling results are updated in real-time on the Interactive Results Display to show the latest voter preferences during an event.

Given a live poll is active, when a participant votes, then the polling results should refresh on the display within 3 seconds, showing updated percentages.

The Interactive Results Display presents polling results using engaging visual formats such as graphs or charts, enhancing user interpretation.

Given that the poll has concluded, when the results are displayed, then at least two different visual formats should be presented, such as a bar graph and a pie chart, enabling easy interpretation.

Participants can see the total number of questions submitted and polls voted on during the event for transparency and engagement.

Given a live event is active, when the Interactive Results Display is updated, then it should show the total count of submitted questions and votes at the top of the display.

The Interactive Results Display should seamlessly integrate with existing platforms without affecting performance or usability during events.

Given the Interactive Results Display is implemented, when an event is live, then the performance metrics (such as loading time and responsiveness) should not exceed the baseline established pre-implementation by more than 10% during peak usage times.

The display should allow for customizability of visual feedback elements to better suit the branding and theme of each event.

Given an event is being set up, when the display settings are configured, then at least three branding options for colors and logos should be available for selection and reflected in real-time on the Interactive Results Display.

Participant Engagement Analytics

"As a product manager, I want to analyze participant engagement data after events, so that I can improve future events based on user interactions and feedback."

Description

Participant Engagement Analytics collects and analyzes data from live polling and Q&A interactions to provide insights into participant engagement levels. This functionality enables SkillBlink to generate reports on user interaction patterns, such as which questions received the most attention, which polls had the highest response rates, and overall participant activity during sessions. The insights gained from this analytics feature will help in refining future events and content delivery strategies, tailoring the experience to optimize user engagement. This requirement will require integration with data storage solutions within the platform.

Acceptance Criteria

Participant Engagement Analysis during a Live Webinar

Given a live webinar session with active polling and Q&A features, When the session concludes, Then the analytics report generates, providing insights into participant engagement including total questions submitted, poll response rates, and average engagement duration.

Data Storage Integration for Engagement Metrics

Given the requirement for storing engagement data, When a live polling or Q&A session occurs, Then all engagement metrics are correctly recorded in the designated data storage solution without data loss or discrepancies.

Analysis Report Accuracy Verification

Given a generated analytics report from participant engagement data, When the report is reviewed for accuracy, Then the metrics presented match the raw interaction data collected during the live session, ensuring a 95% accuracy threshold.

User Access Rights for Engagement Reports

Given the implementation of participant engagement analytics, When a user with reporting permissions accesses the analytics dashboard, Then they can see a summary of engagement metrics along with detailed interaction data for all sessions they are authorized to view.

Feedback Loop for Future Event Planning

Given the insights generated from participant engagement analytics, When event organizers review the reports, Then they can identify topics of high interest and low engagement, guiding them to adjust the content and format of future events effectively.

Real-time Data Updates During Events

Given an ongoing live polling session, When a user submits a vote or question, Then the metrics for current engagement levels refresh within 10 seconds to reflect the latest interactions to the event host.

Reporting Customization Options

Given the need for tailored reporting, When an admin accesses the analytics report generation feature, Then they can customize the report to focus on specific metrics, date ranges, or types of interactions.

Moderation Controls for Q&A

"As a moderator, I want to manage the submitted questions during the event, so that I can ensure the discussion remains focused and respectful."

Description

Moderation Controls for Q&A will allow designated moderators to manage the flow of questions during live events. This requirement will include the ability to approve or deny questions, flag inappropriate content, and curate questions to ensure that the most relevant and constructive inquiries are prioritized. This ensures a positive and respectful environment during sessions, allowing presenters to focus on engagement without being sidetracked by off-topic or non-constructive questions. The integration must be seamless with the Q&A submission feature.

Acceptance Criteria

Moderators are conducting a live event where participants can submit questions for the speaker, and they need to manage incoming questions effectively in real-time.

Given that the moderator is logged into the platform, when they view submitted questions, then they should be able to approve or deny each question with one click and see the list of approved questions in real-time.

During a live Q&A session, the moderator notices that some questions are inappropriate or irrelevant to the topic at hand.

Given that the moderator is reviewing questions, when they flag a question as inappropriate, then the question should be hidden from the participant view immediately, and an alert should be logged for review.

The live event is in progress, and participants are submitting questions while the moderator filters through them to prioritize valuable content.

Given that the moderator has filtered submitted questions, when the moderator selects 'curate', then only the top 5 most relevant questions should be displayed prominently for the presenter.

A moderator wants to ensure a respectful and constructive conversation during the live event.

Given that the moderator has access to submitted questions, when they flag multiple questions as inappropriate, then a notification should be sent to the moderator confirming the flags and the total count of flagged questions.

The moderator wants to ensure that the most constructive inquiries are addressed by the presenter during the session.

Given that the moderator is monitoring the live polling, when participants vote on the questions, then the questions with the highest votes should be displayed in descending order of their votes for the presenter to address.

Following the live session, moderators want to provide feedback on question handling to improve future sessions.

Given that the live event has concluded, when the moderator reviews their actions during the event, then they should have access to a report detailing the number of questions submitted, approved, denied, and flagged for each specific session.

Post-Event Resource Hub

The Post-Event Resource Hub provides attendees with access to recorded sessions, presentation materials, and additional resources shared during the events. This feature ensures users can revisit valuable insights and continue their learning journey long after the event concludes.

Requirements

Recorded Session Access

"As an event attendee, I want to access recorded sessions after the event so that I can review important material at my own pace and reinforce my understanding of the topics discussed."

Description

The Recorded Session Access requirement allows users to view recordings of sessions held during events in the Post-Event Resource Hub. This feature will enable users to revisit key insights, supplement their learning experience, and ensure they do not miss out on valuable information presented during events. The integration of an intuitive video player will facilitate easy navigation and provide essential playback controls, including play, pause, fast forward, and rewind. This enhances the overall user experience and fosters continuous learning beyond the event timeframe.

Acceptance Criteria

User Accessing Recorded Sessions Post Event

Given a user is logged into the SkillBlink platform and has access to the Post-Event Resource Hub, when they navigate to the Recorded Session section, then they must be able to view a list of all recorded sessions available for that event.

Playback Functionality of Recorded Sessions

Given a user has selected a recorded session from the list, when they play the video, then the video player must allow them to play, pause, fast forward, and rewind the recording without interruption.

Navigation Within Recorded Sessions

Given a user is watching a recorded session, when they use the playback controls to scrub through the video, then the video must accurately reflect the chosen position in real-time with no more than a 2-second delay.

Access to Additional Learning Resources

Given a user is viewing a recorded session, when they complete watching the video, then they must be able to access additional materials linked within the session description, such as presentation slides and supplementary resources.

Responsive Design of the Video Player

Given a user accesses the recorded session on various devices (desktop, tablet, mobile), when they play the video, then the video player must adjust its layout and controls appropriately to fit the screen size without losing any functionality.

User Feedback on Recorded Sessions

Given a user has completed watching a recorded session, when prompted for feedback, they should have an option to rate the session and leave comments about their experience, which will be stored for future analysis.

Tracking User Engagement with Recorded Sessions

Given a user has viewed a recorded session, when they complete the session, then their progression must be recorded in their personal dashboard, showing metrics like time spent, engagement level, and completion status for analytics purposes.

Downloadable Resources

"As an event attendee, I want to download presentation materials after the event so that I can have easy access to them for future reference."

Description

The Downloadable Resources requirement facilitates the provision of presentation slides, handouts, and related documents from the events in the Post-Event Resource Hub. Providing downloadable resources empowers attendees to save and reference these materials offline, thereby enhancing their learning experience and allowing for deeper engagement with the content presented. This feature encourages ongoing study and integration of the knowledge gained during the event into the users’ professional practices.

Acceptance Criteria

User accesses the Post-Event Resource Hub after attending a webinar and seeks to download the presentation slides shared during the event.

Given the user is logged into the SkillBlink platform and has attended the webinar, when they navigate to the Post-Event Resource Hub, then they should see a list of available downloadable resources including presentation slides and handouts.

User clicks on the link to download the presentation slides from the Post-Event Resource Hub.

Given the user has found the presentation slides in the Post-Event Resource Hub, when they click on the download link, then the presentation slides should download successfully to their device without any errors.

User attempts to download multiple resources from the Post-Event Resource Hub simultaneously.

Given the user is in the Post-Event Resource Hub, when they select multiple downloadable resources and click the download button, then all resources should download simultaneously, and the user should receive a notification confirming the success of each download.

User accesses a PDF document from the Post-Event Resource Hub after downloading it to ensure content accessibility.

Given the user has downloaded a PDF document from the Post-Event Resource Hub, when they open the PDF file, then the document should display correctly with all formatting intact, including images and text.

User without an account tries to access the Post-Event Resource Hub to download resources.

Given that the user is not logged in, when they attempt to access the Post-Event Resource Hub, then they should receive a prompt to log in or create an account to access the downloadable resources.

User wants to sort or filter the downloadable resources in the Post-Event Resource Hub by type or date.

Given the user is in the Post-Event Resource Hub, when they apply a filter to sort resources by type or date, then the displayed resources should update to reflect the selected filter criteria accurately.

User provides feedback after using the downloadable resources from the Post-Event Resource Hub.

Given the user has accessed and utilized the downloadable resources, when they submit feedback or a rating through the provided feedback mechanism, then the system should successfully capture and store the feedback for analysis.

Feedback and Rating System

"As an event attendee, I want to rate and leave feedback on the sessions I attended to contribute to the improvement of future events and share my insights with others."

Description

The Feedback and Rating System allows users to provide reviews and ratings for the sessions they attended. Users can leave constructive feedback for speakers and organizers, which will be valuable for future events. It fosters a sense of community and accountability by encouraging users to engage with content and mentors actively. This requirement will contribute to the enrichment of the SkillBlink curriculum by aligning resources with user preferences and experiences.

Acceptance Criteria

User attempts to rate a session after attending it and provides written feedback for a speaker they have just listened to.

Given the user is logged into their SkillBlink account, when they navigate to the Post-Event Resource Hub and select a session they attended, then they should be able to rate the session on a scale of 1 to 5 and submit written feedback that is stored in the system.

User views feedback and ratings left by others for a specific session they are considering attending.

Given the user is in the Post-Event Resource Hub, once they select a session, then they should see an aggregated rating (on a scale of 1 to 5) and a list of written feedback comments from other users who attended the session.

Event organizers review the feedback collected from users to improve future events.

Given that at least 10 feedback submissions have been collected for a specific session, when the event organizer accesses the Feedback and Rating System dashboard, then they should be able to view summary statistics, including average ratings and categorized feedback comments, to identify areas for improvement.

User submits feedback for a session without providing a rating to test the system's response.

Given the user is on the feedback submission page for a session, when they attempt to submit feedback without selecting a rating, then an error message should be displayed indicating that a rating is required before submission.

User shares their feedback on social media to promote community engagement.

Given the user has successfully submitted their feedback and rating for a session, when prompted, they should have the option to share their feedback on social media platforms and the sharing function should include a link back to the session in the Post-Event Resource Hub.

Admin monitors the real-time feedback and ratings to gauge session effectiveness immediately after the event concludes.

Given the event has just concluded, when the admin accesses the Feedback and Rating System, then they should see current feedback submissions and ratings for each session updated in real-time on their dashboard.

Interactive Q&A Forum

"As an event attendee, I want to ask questions and interact with speakers in a forum after the event so that I can clarify my understanding and engage further with the content."

Description

The Interactive Q&A Forum requirement introduces a centralized platform for users to ask questions and interact with speakers post-event. This forum will allow for collaboration among users and provide them with the opportunity to clarify any topics discussed during the sessions. It fosters engagement and community building, enabling users to share insights and learn from each other's questions and answers, extending the learning experience beyond the event.

Acceptance Criteria

Post-event attendees access the Interactive Q&A Forum to ask questions related to the sessions they attended, looking for clarification on topics discussed. Users should find the forum easy to navigate and able to post their questions seamlessly.

Given the user is logged into SkillBlink, when they navigate to the Interactive Q&A Forum, then they should be able to find a clear 'Ask a Question' button that allows them to submit their questions without errors.

Users receive timely responses from speakers or moderators in the Interactive Q&A Forum, ensuring that their questions are addressed and that they can engage in discussions.

Given a user has posted a question in the Interactive Q&A Forum, when the question is viewed by a speaker or moderator, then the user should receive a notification indicating that their question has been answered within 48 hours.

Attendees post follow-up questions based on answers received in the Interactive Q&A Forum, creating a continuous dialogue that enhances learning and understanding of the material presented at the event.

Given a question has been answered in the Interactive Q&A Forum, when a user reads the answer, then they should have the option to post a follow-up question that relates directly to the response they've received.

Users are able to view and search through previously asked questions and answers before posting their own inquiries, reducing redundancy in the forum and encouraging comprehensive engagement.

Given the user is on the Interactive Q&A Forum page, when they input keywords into the search bar, then they should see relevant previously asked questions and answers that match their search criteria.

Users experience a user-friendly interface in the Interactive Q&A Forum that makes interactions smooth and engaging, encouraging more active participation.

Given the user enters the Interactive Q&A Forum, when they navigate the forum features, then they should find the layout intuitive, with clear labels for categories, search, and past discussions.

The Interactive Q&A Forum includes a moderation feature to ensure respectful and constructive dialogue among attendees while maintaining a focus on learning.

Given a user posts content in the Interactive Q&A Forum that violates community guidelines, when the content is flagged by other users, then it should be reviewed by moderators within 24 hours and appropriate action taken.

The Interactive Q&A Forum enables users to mark questions as 'helpful' or 'resolved', which aids in highlighting valuable insights for the community.

Given a user has posted a question in the Interactive Q&A Forum, when another user finds the answer helpful, then they should have the option to mark it as 'helpful', updating the visibility of that answer accordingly.

Search Functionality

"As an event attendee, I want to quickly search for specific sessions or materials in the Post-Event Resource Hub so that I can efficiently find the information I need."

Description

The Search Functionality requirement enables users to quickly find specific sessions, materials, or topics in the Post-Event Resource Hub. This enhancement will significantly improve user experience by reducing the time spent searching for content, allowing users to focus on their learning. Providing filters for different types of content (e.g., videos, documents, Q&A posts) will further refine search results and cater to users’ specific needs.

Acceptance Criteria

User wants to search for recorded sessions from a recent conference to review topics discussed.

Given the user is on the Post-Event Resource Hub, when they enter a keyword related to the session title, then the system should return a list of relevant sessions that includes the session title, date, and speaker.

A user is looking for presentation materials from the last event specifically related to 'AI Innovations'.

Given the user is on the Post-Event Resource Hub, when they apply the filter for 'documents' and enter 'AI Innovations' in the search bar, then the system should display only the relevant documents that match the search term.

An attendee wants to find Q&A posts related to a specific session they attended.

Given the user is on the Post-Event Resource Hub, when they search for a specific session name and select the 'Q&A' filter, then the results should show all Q&A posts associated with that session.

A user wants to quickly locate any video sessions that are tagged as 'beginner level'.

Given the user is on the Post-Event Resource Hub, when they select the 'videos' filter and search for 'beginner', then the system should return a list of beginner-level video sessions only.

A user receives an error message while attempting to search for resources during peak hours.

Given the system is under high load, when the user searches for resources, then the system should still return a usable error message indicating the delay instead of failing the search entirely.

A user wants to bookmark a session they found in the search results.

Given a user is viewing the search results, when they click on the 'bookmark' icon for a session, then that session should be added to their profile's bookmarked resources and should be accessible from their account dashboard.

Users are comparing different session materials and need to use advanced filtering options.

Given the user is on the Post-Event Resource Hub, when they utilize the advanced filtering options (such as 'date', 'type', and 'speaker'), then the system should accurately filter and display resources that meet all specified criteria.

Mentorship Match-Up

The Mentorship Match-Up feature pairs attendees with mentors based on their skills and goals identified during the event. This ensures that participants can establish meaningful connections for ongoing support and guidance in their respective career paths.

Requirements

Mentor Skill Assessment

"As a mentee, I want to be matched with a mentor who has the skills and expertise relevant to my career goals, so that I can receive the most effective guidance for my professional development."

Description

The Mentor Skill Assessment requirement involves developing a comprehensive evaluation tool that identifies the specific skills and areas of expertise of each mentor within the SkillBlink platform. This tool will facilitate accurate matching by analyzing mentees’ profiles and aligning them with mentors who possess relevant skills. The assessment results will be used to create a database that ranks mentors based on their expertise, ensuring that mentees are paired with mentors who can provide the most value based on their specific career goals. This feature enhances the quality of mentorship by ensuring that connections are based on quantified qualifications rather than subjective criteria, providing clear benefits in terms of user satisfaction and career growth for both mentors and mentees.

Acceptance Criteria

Assessing Mentor Skills for Matching.

Given a mentor with a completed skill assessment, when the assessment data is reviewed, then the mentor's skills should rank accurately based on predefined categories and criteria, ensuring alignment with mentee profiles.

Database Integration for Mentorship Matching.

Given the mentor skill assessment results, when a mentee requests a mentor match, then the system should retrieve and display mentors whose skills align with the mentee's goals in real-time, ensuring effective pairing.

User Feedback on Mentor Pairing Effectiveness.

Given a mentee who has been paired with a mentor, when the mentorship session concludes, then the mentee should provide feedback indicating satisfaction with the mentor's expertise and relevance, which should be recorded in the system.

Ranking and Sorting Mentors by Expertise.

Given the completed skill assessments for all mentors, when the system generates a mentor list for a specific mentee, then mentors should be ranked and sorted based on the highest relevance to the mentee's career goals and skills required.

Monitoring Mentor Engagement and Activity Levels.

Given multiple mentorship pairs, when an analysis is performed, then the system should track and report on the frequency and duration of mentor meetings, ensuring mentors are actively engaged with their mentees.

Validating the Skill Assessment Tool Functionality.

Given a mentor using the skill assessment tool, when the mentor completes the assessment, then the tool should provide instant feedback and a summary report of skills identified and areas needing improvement.

Ensuring Data Accuracy in Mentor Profiles.

Given mentors' profiles being updated with assessment results, when the profile data is saved, then the information should reflect the latest skills and expertise accurately without data loss.

Mentor-Mentee Communication Tools

"As a mentee, I want easy-to-use communication tools to connect with my mentor, so that I can ask questions and seek advice more effectively."

Description

The Mentor-Mentee Communication Tools requirement involves creating an integrated suite of communication features within the SkillBlink platform to facilitate seamless interaction between mentors and mentees. This suite will include direct messaging, video calls, and scheduled virtual meetings, allowing for real-time support and guidance. Additionally, these tools will enable users to share resources, feedback, and progress updates efficiently. By fostering a supportive communication environment, this requirement enhances the overall mentorship experience, encouraging continuous engagement and collaboration. Proper integration with existing user profiles will ensure users can quickly access communication functions without disrupting their learning process.

Acceptance Criteria

Mentor initiates a direct message to the mentee to discuss skill development goals after a mentorship event.

Given the mentor has an active profile and the mentee is matched, when the mentor sends a direct message, then the message should be delivered instantly and received by the mentee without errors.

Mentee schedules a video call with their mentor for a weekly check-in to discuss progress on assigned tasks.

Given the mentee is logged into the SkillBlink platform, when the mentee selects a date and time for the video call that is available on the mentor's calendar, then the call should be scheduled successfully and both parties should receive a confirmation notification.

Mentor and mentee participate in a virtual meeting to review the mentee's progress and future goals.

Given both mentor and mentee have scheduled a meeting, when the meeting time arrives, then both users should be able to join the meeting without technical issues, and both can share documents and screens during the session.

Mentee shares a resource document with their mentor prior to their scheduled virtual meeting.

Given the mentee has a document to share, when the mentee uploads the document through the communication tools, then the mentor should receive an immediate notification of the shared document along with the ability to access it prior to the meeting.

Mentor provides feedback on the mentee's progress after reviewing their submitted work.

Given the mentor has accessed the mentee's submitted work, when the mentor writes and submits feedback, then the feedback should be delivered to the mentee's profile instantly, and the mentee should receive a notification for it.

Mentorship Feedback System

"As a mentee, I want to provide feedback on my mentorship experience, so that the platform can improve future matches and the overall mentorship quality."

Description

The Mentorship Feedback System requirement focuses on implementing a structured feedback mechanism where mentees can evaluate their mentorship experience after their sessions. This feedback system will allow mentees to provide ratings and comments on their mentorship interactions, which can then be aggregated and analyzed to improve the mentorship pairing process over time. By collecting and utilizing this feedback, SkillBlink can continuously refine its mentor database, ensuring only the most effective mentors are featured and incentivizing them to maintain high standards. This cycle of feedback and improvement will enhance the quality of mentorship offered through the platform and promote user satisfaction.

Acceptance Criteria

Mentee provides feedback after a mentorship session using the feedback system available in SkillBlink.

Given a mentee who has completed a mentorship session, when they access the feedback system, then they should be able to submit a rating between 1 to 5 and add optional comments regarding their experience.

Feedback submitted by mentees is aggregated and analyzed for improving mentor pairings.

Given that multiple mentees have submitted feedback, when the system aggregates the feedback, then it should display an average rating and a summary of comments for each mentor in the admin dashboard.

Mentors are incentivized based on the feedback they receive from mentees through the feedback system.

Given that a mentor receives feedback, when their average rating reaches a certain threshold, then they should be notified about their performance and offered incentives to encourage high standards.

Mentees can view previous feedback provided to mentors before engaging in a session.

Given a mentee looking to select a mentor, when they click on the mentor's profile, then they should see a section displaying past ratings and comments from other mentees.

The feedback system is user-friendly and accessible on all devices (desktop, tablet, mobile).

Given that a mentee is using any device, when they access the feedback system, then they should be able to easily navigate and submit their feedback without technical issues.

The feedback system ensures the anonymity of the mentees while submitting feedback.

Given a mentee who is about to submit feedback, when they click on the submit button, then their identity should be ensured as anonymous, and they should receive a confirmation of submission without personal identification being linked to the feedback.

Mentors can view their individual feedback to assess their performance and areas of improvement.

Given that a mentor wants to check their feedback, when they access the feedback section of their mentor profile, then they should see their average rating and comments left by mentees over a defined period.

Mentorship Progress Tracker

"As a mentee, I want to track my progress with my mentor, so that I can see how I'm improving and adjust my learning goals if necessary."

Description

The Mentorship Progress Tracker requirement involves creating a tracking tool that allows mentees and mentors to monitor their progress over time. This tool will feature visual representations of goals, milestones, and the skills developed throughout the mentorship journey. By enabling both parties to visualize their achievements and areas for improvement, this tool will foster a sense of accountability and motivation. Furthermore, this progress tracker can be integrated with other SkillBlink features, such as skill assessments and course completions, to provide a holistic view of the mentee’s developmental journey, ultimately providing more effective and tailored mentorship.

Acceptance Criteria

Mentee and mentor log into SkillBlink and are presented with the Mentorship Progress Tracker dashboard, where they can view their individual goals, milestones, and skills developed over time.

Given mentee and mentor are logged into SkillBlink, when they navigate to the Mentorship Progress Tracker, then they should see a dashboard displaying visual representations of their goals and milestones, along with skills developed throughout the mentorship.

During a mentorship session, both the mentee and mentor update their progress on the skills they are focusing on, and this update is reflected in the Mentorship Progress Tracker.

Given that both parties are engaged in the mentorship session, when they update their progress on the specified skills, then the changes should be visible in the Mentorship Progress Tracker in real-time.

Mentees review their achievement reports generated by the Mentorship Progress Tracker at the end of the mentorship period to reflect on their growth and areas for improvement.

Given the mentorship period has ended, when the mentees access their achievement reports, then the reports should clearly display all goals achieved and skills developed, including areas for improvement.

Mentors can provide feedback on the mentee's progress through the Mentorship Progress Tracker, and this feedback is saved for future reference.

Given mentors are reviewing the mentee's progress, when they provide feedback on specific goals or skills, then the feedback should be saved and available for both the mentor and mentee to view at any time.

The Mentorship Progress Tracker integrates with SkillBlink's skill assessment feature, allowing mentees to see how their mentorship progress aligns with their skill assessments.

Given a mentee has completed a skill assessment, when they access the Mentorship Progress Tracker, then it should display a comparison of their assessment results against the goals set during mentorship.

Mentees receive notifications when milestones are reached or when mentor feedback is provided in the Mentorship Progress Tracker.

Given a mentee's milestone has been met or feedback has been entered by the mentor, when they log into the SkillBlink platform, then they should receive a notification regarding the milestone achievement or new feedback.

Administrators can generate reports on the overall effectiveness of mentorships through the data collected in the Mentorship Progress Tracker.

Given that data has been logged in the Mentorship Progress Tracker over multiple mentorships, when administrators request a report, then a summary report should be generated highlighting overall progress, common goals, and areas needing support across all mentorships.

Event Feedback Loop

The Event Feedback Loop collects user feedback on each networking event, enabling continuous improvement of future sessions. This feature ensures events are tailored to user preferences and enhances overall satisfaction in the SkillBlink networking experience.

Requirements

User Feedback Collection

"As a networking event participant, I want to easily provide feedback about my experience, so that I can help improve future events for myself and my peers."

Description

The User Feedback Collection requirement involves creating a structured mechanism for gathering feedback from users after each networking event. This includes designing user-friendly feedback forms that capture qualitative and quantitative data regarding their experiences. The data collected will be analyzed to identify trends and areas for improvement, ensuring that future events align better with user preferences. Integration into the SkillBlink platform will allow real-time feedback analysis, fostering responsive adjustments to future events and ultimately enhancing user satisfaction and engagement.

Acceptance Criteria

Collecting user feedback immediately after a networking event has concluded, allowing users to provide their experiences and suggestions while the event is still fresh in their minds.

Given the user has attended a networking event, when they complete the feedback form after receiving a prompt, then the system should successfully save the feedback and display a confirmation message.

Analyzing the qualitative and quantitative data submitted through the feedback forms to create actionable insights for improving future events.

Given the feedback has been collected, when the analysis process is initiated, then the system must generate a report that identifies at least three trends or areas for improvement based on user feedback.

Ensuring that users can access the feedback form from various devices without issues to facilitate maximum participation.

Given a user accesses the SkillBlink platform from a mobile device or desktop after an event, when they navigate to the feedback section, then the feedback form should be fully functional and user-friendly across all devices.

Gathering feedback on specific aspects of the networking event, such as the venue, topics discussed, and networking opportunities, to tailor future events more closely to user preferences.

Given a user is completing the feedback form, when they rate specific aspects of the event on a scale of 1-5, then the system should accurately record these ratings for later analysis.

Allowing users to provide optional open-ended feedback to capture qualitative insights beyond the structured form responses.

Given the user is on the feedback form, when they choose to provide open-ended comments, then the system should accept and store the comments without restrictions on length, ensuring all feedback is captured.

Feedback Analysis Dashboard

"As an event organizer, I want to view and analyze feedback data on a dashboard, so that I can quickly understand user experiences and make informed improvements for future events."

Description

The Feedback Analysis Dashboard requirement creates a visual interface to present collected feedback data in an easily digestible format for event organizers and stakeholders. It should include various analytics tools for visual data representation, including charts and graphs that illustrate user satisfaction levels, common feedback themes, and suggestions for improvement. This dashboard will be crucial for evaluating the success of events and making data-driven decisions for refining future networking opportunities, enhancing overall engagement and success rates.

Acceptance Criteria

User navigates to the Feedback Analysis Dashboard after an event has concluded to view aggregated feedback and insights from attendees.

Given the user is authenticated and has access to the Feedback Analysis Dashboard, when they select a specific event, then the dashboard should display charts and graphs summarizing user satisfaction levels, common feedback themes, and suggestions for improvement based on collected data.

Event organizers need to identify key areas of improvement based on the feedback collected from multiple events.

Given the user is on the Feedback Analysis Dashboard, when they choose to view feedback from events over the last quarter, then the dashboard must provide comparative analytics that highlight trends in user satisfaction and areas needing improvement.

Event organizers want to share feedback insights with stakeholders to inform them about event successes and areas for development.

Given the dashboard is displaying the feedback results, when the user selects the 'Export Report' option, then the system should generate a downloadable report in PDF format that includes all visual analytics and key insights from the feedback collected.

Users and stakeholders expect to see real-time data updates on the dashboard as new feedback is submitted following an event.

Given feedback has been collected after an event, when the user refreshes the Feedback Analysis Dashboard, then the new feedback data should be reflected in real-time on all relevant charts and graphs without requiring a page reload.

Users need to filter feedback by specific criteria such as event type, date, or user demographics to analyze the data more effectively.

Given the user is on the Feedback Analysis Dashboard, when they apply filters for event type and date range, then the dashboard should refresh to show analytics that only include the feedback matching the applied filters.

Event organizers require a clear and intuitive design for the Feedback Analysis Dashboard for ease of use.

Given a user is accessing the Feedback Analysis Dashboard, when they navigate through various sections of the dashboard, then the layout should be intuitive, with clear labels and logical grouping of information that enables quick access to desired insights.

Automated Feedback Requests

"As a participant, I want to receive a reminder to share my feedback after an event, so that I can easily contribute my thoughts without having to remember to do it later."

Description

The Automated Feedback Requests feature enables the SkillBlink platform to automatically send feedback requests to users following each networking event. This requirement focuses on setting up an automated email or notification system that prompts participants to share their thoughts. The requests should be timely, user-friendly, and customizable, ensuring a higher response rate. By simplifying the feedback process, the platform increases user engagement and provides valuable data to enhance future events.

Acceptance Criteria

Automated Feedback Requests are triggered immediately after a networking event concludes, ensuring users receive them within 24 hours of the event ending.

Given a user has participated in a networking event, when the event ends, then an automated feedback request email or notification should be sent within 24 hours.

Users are able to customize the feedback request email to include specific questions related to the event, ensuring relevance and engagement.

Given the feedback request feature, when a user accesses the customization settings, then the user should be able to modify the content and questions in the feedback request email.

The automated feedback requests can be sent through multiple channels such as email, SMS, or in-app notifications to accommodate varying user preferences.

Given the user has provided their communication preferences, when a feedback request is triggered, then it should be sent according to the user's specified preference (email, SMS, in-app).

Users should receive reminders for completing the feedback request within a week if they don't initially respond, to maximize feedback collection.

Given a feedback request has been sent, when the user does not respond within 7 days, then a reminder should be automatically sent to encourage feedback.

The system should track the response rates of the feedback requests to assess and improve the effectiveness of the feedback collection process.

Given feedback requests are sent, when a response is received, then the system should log the response and calculate the overall response rate for continuous improvement metrics.

The feedback request should include a user-friendly interface for submitting feedback, ensuring it's quick and easy for users.

Given a user receives a feedback request, when they access the feedback submission interface, then the interface should allow submission in less than 5 minutes.

The system should allow for the inclusion of personal thank-you messages from event organizers in the feedback request to enhance user connection and appreciation.

Given the feedback request is being composed, when organizers input their thank-you message, then it should be included in the email/notification sent to the participants.

Feedback Summary Report Generation

"As a stakeholder, I want to receive summarized feedback reports after events, so that I can evaluate the success of our networking initiatives and strategize for future improvements."

Description

The Feedback Summary Report Generation requirement involves creating automated reports that compile the collected feedback into summarized formats for stakeholders. These reports should highlight key performance indicators such as average satisfaction ratings, frequent comments, and actionable feedback suggestions. Reports will be generated at specified intervals or on-demand, ensuring that event organizers have access to concise insights for evaluation and decision-making. This feature promotes accountability and continuous improvement within the SkillBlink networking framework.

Acceptance Criteria

Feedback Summary Report Generation for a Monthly Networking Event

Given that the feedback has been collected from users after a monthly networking event, when the event organizer requests the summary report, then the report should generate and include average satisfaction ratings, frequent comments, and actionable suggestions within 5 minutes.

Feedback Summary Report Generation On-Demand Request

Given that a stakeholder requests an on-demand feedback summary report, when they initiate the request, then the system should generate and deliver the report via email within 10 minutes, ensuring that all necessary data is included.

Automated Generation of Feedback Summary Reports at Defined Intervals

Given that the system is scheduled to generate reports weekly, when the scheduled time arrives, then the system should automatically compile and send the summary reports to designated stakeholders without manual intervention.

Validation of Report Contents for Accuracy and Completeness

Given that a feedback summary report has been generated, when the event organizer reviews the report, then all key performance indicators, including average satisfaction ratings and frequent comments, should accurately reflect the data collected from the event participants.

User Access to Feedback Summary Reports via the Platform

Given that a user has permission to view feedback summary reports, when they log into the SkillBlink platform and navigate to the reports section, then they should see a list of available reports with the option to download them in PDF format.

Gathering User Feedback for Report Enhancements

Given that users have provided feedback on the report format and content, when the feedback is analyzed, then at least 80% of the suggestions should be implemented in the next report update to improve user satisfaction.

User Preference Profiles

"As a user, I want to set my feedback preferences so that I can receive targeted requests that align with my interests, making it easier for me to share valuable feedback."

Description

The User Preference Profiles requirement aims to allow participants to customize their feedback preferences within their SkillBlink profiles. Users can indicate the types of events they are most interested in and how they prefer to provide feedback. This capability personalizes the feedback loop, ensuring that users receive relevant prompts for sharing their thoughts, thus increasing the likelihood of participation. This user-centric approach enhances engagement and provides more accurate data for evaluating event effectiveness.

Acceptance Criteria

User customization of feedback preferences for events in SkillBlink profiles.

Given a user is logged into their SkillBlink account, when they navigate to the user preferences section, then they should see options to select their preferred event types and feedback methods.

User receives relevant feedback prompts based on their preferences after attending an event.

Given a user has set their event preferences, when they complete an event, then they should receive a feedback prompt aligned with their selected feedback method within 24 hours.

Admin review of user feedback preferences effectiveness on event satisfaction ratings.

Given an admin accesses the event feedback reporting dashboard, when they filter results by user preference data, then they should see an increase in feedback submission rates by at least 30% for tailored events.

User ability to update their feedback preferences at any time within their profile.

Given a user is in their SkillBlink profile, when they make changes to their event preferences and click save, then the system should successfully store the updated preferences without errors.

System prompts the user to provide feedback based on their past event attendance.

Given a user has attended two or more events in the past month, when they log into SkillBlink, then they should receive a notification prompting them to provide feedback on those events.

Analysis of user engagement metrics post-implementation of feedback preferences feature.

Given that the User Preference Profiles feature has been implemented, when reviewing the engagement metrics over a six-month period, then there should be a measurable increase of at least 20% in overall user participation in feedback submissions.

User interaction with the feedback collection process during and post events.

Given a user attends an event, when they interact with the feedback mechanism provided, then they should encounter a user-friendly interface that captures feedback efficiently without overwhelming them.

Product Details

Vision & Mission

Problem & Solution

Details & Audience

User Personas

Adaptive Innovator

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Growth-Oriented Executive

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Tech-Savvy Freelancer

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Product Features

Pathway Personalization

Requirements

Skill Assessment Integration

Description

Acceptance Criteria

Dynamic Content Recommendation

Description

Acceptance Criteria

Progress Tracking Dashboard

Description

Acceptance Criteria

Mentorship Pairing System

Description

Acceptance Criteria

Custom Certification Programs

Description

Acceptance Criteria

Collaborative Learning Space

Description

Acceptance Criteria

Adaptive Feedback Loop

Requirements

Real-time Data Collection

Description

Acceptance Criteria

Dynamic Learning Recommendations

Description

Acceptance Criteria

User Engagement Analytics Dashboard

Description

Acceptance Criteria

Mentor-User Interaction Tools

Description

Acceptance Criteria

Customizable Certification Pathways

Description

Acceptance Criteria

Feedback and Improvement Mechanism

Description

Acceptance Criteria

Mentor Matchmaker

Requirements

AI-Powered Mentor Matching

Description

Acceptance Criteria

User Preferences Configuration

Description

Acceptance Criteria

Feedback Mechanism for Mentor Connections

Description

Acceptance Criteria

Real-time Mentor Availability Checker