SkillSavvy

AI Skill Audit

Automatically evaluates new hires' existing skills during onboarding using cutting-edge AI. This feature quickly identifies strengths and developmental areas, enabling a tailored learning experience that sets up employees for immediate success.

Requirements

Automated Skill Assessment

"As a tech HR manager, I want the system to automatically assess new hires' skills during onboarding so that I can efficiently identify training needs and allocate resources for immediate employee success."

Description

Deploy AI algorithms to evaluate new hires' current skills using data aggregated from resumes, assessments, and onboarding interactions. This process identifies proficiency levels, pinpoints areas for improvement, and captures strengths to enable targeted onboarding strategies, thereby streamlining the transition process for new employees.

Acceptance Criteria

New Hire Onboarding Skill Evaluation

Given a new hire's resume, assessments, and onboarding interactions, when the AI algorithm performs the evaluation, then the system must generate a comprehensive report detailing proficiency levels, areas for improvement, and strengths.

Resume Data Integration

Given that resume data is provided, when the system processes the file, then it should extract relevant skills information with at least 95% accuracy and integrate it into the assessment process.

Assessment Data Analysis

Given a set of standardized assessment results, when the data is analyzed by the AI algorithm, then the system must correctly score each skill and benchmark them against predefined criteria.

Onboarding Interaction Processing

Given that onboarding interactions are recorded, when the system analyzes these interactions, then it should validate the consistency of the candidate's skill profile and flag any discrepancies.

Targeted Learning Path Recommendation

Given the results of the automated skill assessment, when the evaluation is complete, then the system should generate tailored learning path recommendations that address identified skill gaps.

Personalized Learning Path Generator

"As a new hire, I want to receive personalized training recommendations based on my current skills so that I can quickly improve my weaknesses and further develop my strengths."

Description

Utilize the results of the AI-driven skill assessment to automatically generate customized learning paths. This feature tailors training modules to each employee's unique strengths and developmental areas, enhancing engagement and ensuring a strategic approach to skill enhancement.

Acceptance Criteria

Onboarding Skill Audit Integration

Given a new hire completes the AI Skill Audit, when the personalized learning path is generated, then the learning path must include training modules tailored to the identified strengths and developmental areas with at least 90% accuracy.

Dynamic Learning Path Update

Given that an employee's skills have been updated post-course completion, when the skill audit is re-run, then the system should automatically update the personalized learning path to reflect the latest skill assessments.

Tailored Module Relevance

Given a generated personalized learning path, when the employee reviews the path, then every module must be directly correlated to either a skill strength or gap identified by the AI analysis.

Performance and Engagement Tracking

Given an employee's progression along their personalized learning path, when the system tracks course engagement, then it should demonstrate at least a 60% increase in engagement and provide real-time progress updates.

Real-time Skill Feedback

"As a tech HR manager, I want to access real-time updates on a new hire's skill development so that I can proactively adjust training interventions as needed."

Description

Incorporate a real-time monitoring system that continuously updates HR managers and new hires about progress and assessment outcomes. This immediate feedback loop refines the learning pathway and enables dynamic adjustments to the onboarding curriculum.

Acceptance Criteria

Real-time Progress Update during Onboarding

Given a new hire logs into SkillSavvy during onboarding, when the system registers any skill assessment or progress update, then an immediate notification is sent to both the new hire and the corresponding HR manager.

Immediate Learning Path Adjustment

Given that a new hire's skill assessment exceeds or falls below the predefined threshold, when the performance trigger is detected, then the system should automatically adjust the personalized learning path and notify the relevant parties.

Consistent and Accurate Feedback Loop

Given that the system continuously gathers real-time data during onboarding, when the feedback loop is executed, then the update latency should be under 5 seconds and the assessment outcomes must be accurate within a ±5% margin.

Integration with Talent Management System

"As a tech HR manager, I want the AI skill audit data to be integrated with our talent management system so that I can easily access and analyze employee performance trends for strategic planning."

Description

Ensure that the outputs from the AI Skill Audit seamlessly integrate with the existing talent management platform. This integration centralizes employee skill data to support comprehensive workforce planning and facilitates ongoing professional development tracking.

Acceptance Criteria

Data Transfer Integrity

Given the AI Skill Audit output, when integrated with the Talent Management System, then all employee skill data should be accurately transferred without any data loss or corruption.

Real-time Data Sync

Given a new employee onboarding through the Talent Management System, when the AI Skill Audit is executed, then the integration must update the employee profile in real-time with the correct skill data.

API Compatibility

Given the integration API between the AI Skill Audit and the Talent Management System, when a data request is initiated, then the API should respond with valid and complete skill profiles conforming to the predefined schema within 2 seconds.

Security and Access Control

Given the sensitivity of employee skill data, when the integration is performed, then all data in transit must be encrypted and accessible only to authorized users as defined by access control policies.

Error Handling and Logging

Given any interruptions or failures during data integration, when an error occurs, then the system should log detailed error information and notify the appropriate support channels for immediate resolution.

Personalized Course Map

Generates individualized learning pathways based on the initial skill assessments. By aligning courses with each new hire's unique capabilities and career goals, this feature ensures a highly relevant and engaging training experience from day one.

Requirements

Dynamic Skill Assessment Integration

"As a HR manager, I want the system to automatically incorporate initial skill assessments so that I can generate personalized learning pathways that truly reflect each new hire's current capabilities."

Description

Integrates initial skill assessments into the course recommendation engine to generate personalized learning pathways, ensuring that each new hire's unique skill set is accurately captured and continuously updated as they progress. This feature forms the backbone of the personalized course map, providing data-driven insights for tailored training experiences.

Acceptance Criteria

Initial Assessment Capture

Given a new hire completes a skill assessment, when the data is submitted, then the system must capture and store the full assessment data accurately for further processing.

Accurate Data Integration

Given stored assessment data, when the course recommendation engine processes the information, then the system must integrate the initial skill assessment into the learning pathway generation process with 100% accuracy.

Dynamic Learning Pathway Generation

Given integrated assessment data, when a personalized course map is generated, then the system must align the recommended courses precisely with the individual’s skill gaps and career goals as defined by the assessment.

Real-time Updates to Learning Pathway

Given updates in a new hire’s skill profile over time, when subsequent assessments are taken, then the system must dynamically update the personalized course map to reflect these changes within 5 minutes.

Robust Error Handling for Assessment Data

Given incomplete or erroneous assessment data, when the data is submitted, then the system must provide clear error feedback and prompt the user for correction, ensuring no invalid data is integrated into the course map.

Adaptive Learning Path Generator

"As a new hire, I want my learning pathway to adjust as I gain new skills so that I can consistently receive training that's relevant to my evolving career goals."

Description

Generates individualized and dynamically evolving course recommendations that adapt as learners develop new skills and meet performance milestones. This ensures that the learning pathways remain relevant over time, driving continuous improvement and alignment with career progression.

Acceptance Criteria

Dynamic Skill Assessment Integration

Given a new hire's initial skill assessment, when the adaptive learning path generator runs, then the system must incorporate the existing skills to generate accurate starting course recommendations.

Real-Time Performance Update

When a learner completes a course and achieves a performance milestone, then the system must update course recommendations in real-time based on the new skill level.

Personalized Career Goals Alignment

Given the user's predefined career goals, when the adaptive learning paths are generated, then the course recommendations must clearly align with and support those career trajectories.

Adaptive Learning Path Monitoring

When there are changes in the learner's progress data, then the system must re-evaluate the course recommendations and adjust the learning path to reflect the updated skill status.

Notification of Course Recommendation Updates

When new skills are acquired or milestones are met, then the system must send a notification to the user indicating that their personalized course recommendations have been updated.

Interactive Course Map UI

"As an employee, I want to interact with a visual course map that clearly outlines my personalized training journey so that I can easily track my progress and understand my next steps."

Description

Develops a user-friendly, interactive interface that visually represents personalized learning journeys. The interface offers clear visual cues to track progress, view recommended courses, and navigate the learning path with ease, enhancing engagement and self-directed learning.

Acceptance Criteria

User Onboarding Experience

Given a new tech employee logs into SkillSavvy, When they access the Interactive Course Map UI for the first time, Then the system should display a personalized learning path with clear navigation and visual cues indicating course recommendations.

Progress Tracking Update

Given a user completes a course section, When they return to the Interactive Course Map UI, Then the displayed progress indicators and completion statuses should update in real-time to reflect the user's advancement.

Course Navigation Functionality

Given the user is viewing their Interactive Course Map, When they click on any course element or visual cue, Then the system should navigate to the detailed course information page seamlessly without errors.

Visual Cues Consistency

Given the Interactive Course Map UI is loaded, When a course or module is completed, Then the corresponding visual cues (e.g., checkmarks, progress bars) must consistently update to represent the completed status accurately.

Responsive and Accessible UI

Given a user accesses the Interactive Course Map on various devices, When interacting with the interface, Then the UI should adapt responsively and meet accessibility standards, including appropriate contrast ratios and keyboard navigability.

Career Goal Alignment Module

"As a tech professional, I want my learning pathway to consider my career ambitions so that my training directly supports my long-term professional development."

Description

Incorporates the user's career aspirations into the course mapping process to ensure that the recommended learning pathways not only address current skill gaps but also align with long-term professional growth. This integration helps connect immediate training needs with future career objectives.

Acceptance Criteria

User Career Goal Entry at Onboarding

Given a new hire inputs their career goals during onboarding, when the module processes their input, then the generated learning pathway incorporates career alignment suggestions.

Skill Gap and Career Synergy

Given the completion of initial skill assessments, when the system integrates career goal data, then the course map recommendations bridge current skill gaps with long-term career aspirations.

Dynamic Path Modification

Given a user's evolving career goals, when the user updates their goals in the system, then the learning pathway dynamically adjusts to reflect new training priorities.

Validation of Career Goal Integration

Given a course map for a new hire is generated, when a quality assurance check is performed, then the module should verify that career goal alignment is factored in at every decision point.

Engagement Insights

Provides HR managers with real-time tracking of new hire progress and engagement levels. With dynamic analytics and feedback, it enables proactive interventions to optimize early performance and long-term development.

Requirements

Real-Time Analytics Dashboard

"As an HR Manager, I want to monitor new hire engagement levels in real time so that I can quickly identify areas needing intervention and support."

Description

Develop a dashboard that provides HR managers with real-time visualizations of new hire engagement and progress metrics. Allows tracking course completions, session attendance, and performance scores. This dashboard integrates seamlessly into the SkillSavvy admin panel, offering dynamic filtering and drill-down capabilities for detailed insights and proactive educational interventions.

Acceptance Criteria

Dashboard Overview View

Given the HR manager is logged into the admin panel, when they access the Real-Time Analytics Dashboard, then they can view a consolidated display of real-time engagement and progress metrics.

Dynamic Filtering Functionality

Given the HR manager is viewing the dashboard, when they apply dynamic filters, then the dashboard must update to display filtered results for course completions, session attendance, and performance scores.

Drill-Down Capabilities on Metrics

Given the HR manager desires more granular data, when they click on a specific metric, then the dashboard should present a detailed drill-down view of course completions, session attendance, and performance scores for the selected segment.

Real-Time Visualizations

Given new hire data changes in real time, when the HR manager views the dashboard, then visual representations such as graphs and charts update within 60 seconds of any data change.

Integration with Admin Panel

Given the HR manager is using the SkillSavvy admin panel, when they access the Analytics Dashboard, then it should seamlessly integrate and maintain consistent user interface and navigation standards.

Automated Alert System

"As an HR Manager, I want to receive automated alerts about new hire performance dips so that I can intervene promptly to mitigate issues."

Description

Implement an alert system that notifies HR managers of potential performance or engagement issues based on pre-defined thresholds. The system should analyze new hire data continuously and trigger notifications via email or in-app messages for immediate action.

Acceptance Criteria

New Hire Engagement Alert Triggering

Given a new hire's engagement falls below a 60% threshold, when the system continuously monitors performance metrics, then an alert is triggered and sent via email and in-app notifications to the HR manager.

Performance Issue Notifier

Given that a new hire's performance metrics drop below a pre-defined threshold, when data is updated every 5 minutes, then the system sends detailed notifications outlining key performance indicators that are out of range.

Multi-Channel Alert Delivery

Given the need for proactive intervention, when an alert is generated, then the system ensures delivery via multiple communication channels (email and in-app) and logs each alert in a centralized dashboard.

Alert Acknowledgement and Verification

Given an alert is delivered, when the HR manager acknowledges the alert, then the system marks the alert as 'Reviewed' and records the acknowledgement timestamp for audit purposes.

Detailed Progress Reports

"As an HR Manager, I want detailed progress reports for each new hire so that I can analyze their performance over time and adjust learning strategies accordingly."

Description

Generate detailed progress reports that capture historical and current performance data of new hires, including course completions, test scores, and engagement trends. These reports should be exportable in common formats and integrated into the overall SkillSavvy reporting suite.

Acceptance Criteria

Progress Report Generation for New Hires

Given a new hire's data is available, when the report generation is triggered, then a detailed progress report capturing historical and current performance data (course completions, test scores, engagement trends) is generated and viewable within the platform.

Export Detailed Progress Reports

Given a completed detailed progress report, when a user selects the export option, then the report should be exportable in common formats such as PDF and CSV without any data discrepancies.

Integration with SkillSavvy Reporting Suite

Given that a detailed progress report is generated, when it is integrated into the SkillSavvy reporting suite, then it should seamlessly merge with existing analytics and dashboards for unified insights.

Real-Time Data Update in Reports

Given ongoing input of performance and engagement data, when a detailed progress report is generated, then it must accurately reflect the most recent data updates up to the time of generation.

Secure Retrieval of Progress Data

Given the sensitivity of the progress report data, when a user tries to access a report, then the system must perform secure authentication and authorization to ensure only eligible users can retrieve the report.

Customizable Metrics Configuration

"As an HR Manager, I want to configure the engagement metrics that matter most to my organization so that the dashboard reflects our prioritized performance indicators."

Description

Provide a feature to allow HR managers to customize the metrics and KPIs tracked on the engagement dashboard. This includes enabling or disabling specific data points, setting custom thresholds, and customizing visualization types to align with organizational goals.

Acceptance Criteria

Metrics Toggle Functionality

Given an HR manager is on the customization page, when they enable or disable a specific metric, then the engagement dashboard immediately updates to display only the selected metrics.

Custom Threshold Configuration

Given an HR manager sets a custom threshold for a metric, when the threshold is saved, then the dashboard triggers alerts once the metric value crosses the defined threshold.

Visualization Customization

Given an HR manager selects a new visualization type for a data point, when the selection is confirmed, then the dashboard updates to display the data in the chosen format.

Default Settings Revert

Given an HR manager has customized various metrics and thresholds, when they choose the 'Revert to Default' option, then all settings reset to the system's default configuration.

Real-Time Dashboard Update

Given an HR manager applies custom metric configurations, when changes are submitted, then the dashboard reflects the updates in real-time without requiring a page refresh.

Feedback Integration Module

"As an HR Manager, I want to capture feedback from new hires as they progress through their learning paths so that I can enhance the course recommendation and training process based on their insights."

Description

Incorporate a module for collecting real-time feedback from new hires regarding their learning experience. This module should integrate with the analytics dashboard, providing both quantitative and qualitative data to further inform HR decision-making.

Acceptance Criteria

Real-time Feedback Collection

Given a new hire is using SkillSavvy, when they complete a learning module, then they should automatically be prompted with a feedback form collecting both quantitative ratings and qualitative comments.

Dashboard Integration

Given that feedback has been submitted, when new feedback data is received, then the analytics dashboard should update in real-time to display the latest feedback metrics for HR managers.

Data Validation and Storage

Given a feedback submission, when the user submits their input, then the system must validate the feedback fields (ensuring no required field is empty) and securely store the data in the central database.

User Notification and Acknowledgment

Given that feedback is successfully recorded, when a user submits their feedback, then they should receive an immediate confirmation message acknowledging receipt of their input.

Feedback Analytics Metrics

Given a collection of feedback entries, when HR managers access the Engagement Insights dashboard, then the system should provide both quantitative summaries (e.g., average ratings) and qualitative insights (e.g., common themes from comments) for effective decision-making.

Milestone Mapper

Visualize your career progression with our Milestone Mapper. This feature auto-generates a clear, interactive map of key achievements and learning goals, enabling users to understand and celebrate each success along their personalized journey to skill mastery.

Requirements

Interactive Map Renderer

"As a tech professional, I want to interact with a dynamic visual map of my career progression so that I can clearly understand my achievements and future learning goals."

Description

The Milestone Mapper should render an interactive visual representation of the user's career progression with clear, distinct milestones. This includes features such as zoom, pan, and clickable milestone nodes that reveal further details. The visual map should seamlessly integrate with SkillSavvy's AI-driven personalized course recommendation engine, ensuring that the milestone updates reflect the latest learning paths and achievements in real time.

Acceptance Criteria

Interactive Map Rendering on Load

Given a valid user session, when the Interactive Map Renderer loads, then an interactive map with distinct milestones is displayed.

Zoom and Pan Functionality

Given the interactive map is displayed, when the user applies zoom or pan actions using appropriate gestures, then the map responds seamlessly without loss of fidelity.

Clickable Milestone Nodes Display Details

Given the interactive map is rendered, when the user clicks on a milestone node, then detailed information including descriptions and AI-driven course recommendations is shown.

Real-time Updates Integration

Given the AI-driven recommendation engine is active, when a learning goal or achievement is updated, then the interactive map instantly reflects the change in milestones.

Milestone Detail Pop-ups

"As a tech employee, I want to see detailed information about my milestones so that I can better understand the significance of each achievement within my career progress."

Description

Develop a mechanism to display detailed pop-ups when users interact with individual milestones, providing essential information such as achievement dates, descriptions, and contextual insights into how each milestone relates to their overall learning journey. This feature should enhance user engagement and provide quick access to in-depth information tied to each achievement and goal.

Acceptance Criteria

User Click Milestone

Given a user clicks on a milestone within the Milestone Mapper, When the interaction is registered, Then a detailed pop-up is displayed containing achievement date, description, and contextual insights.

Milestone Information Accuracy

Given that milestone data is available, When a pop-up is triggered, Then the displayed details (achievement dates, descriptions, and insights) must reflect the accurate and updated user progress records.

Responsive Pop-up Display

Given the application is accessed on various device screen sizes, When a pop-up is displayed, Then the design must automatically adjust, ensuring legibility and usability across devices.

Pop-up Dismissal

Given a user is viewing the milestone detail pop-up, When the close button or an external area is clicked, Then the pop-up should be dismissed without leaving residual UI artifacts.

Milestone Annotation Tool

"As a tech professional, I want to annotate my milestones with personal notes so that I can capture insights and reflections about my achievements over time."

Description

Incorporate an annotation tool that allows users to add, edit, and manage personal notes on their milestones. This feature supports personal reflections, additional context, or feedback associated with each achievement. It should allow for real-time updates and dynamic organization, integrating smoothly with SkillSavvy's career mapping features to enrich the user's narrative of growth.

Acceptance Criteria

Add Milestone Annotation

Given a user is viewing a milestone, when they click the annotation icon, then a modal to add a note should appear and accept input.

Edit Existing Annotation

Given an annotation exists on a milestone, when the user selects the edit option, then the interface should allow immediate modification and save updates in real-time.

Delete Annotation

Given the user wants to remove an annotation, when they click the delete icon, then the annotation should be permanently removed and the milestone updated accordingly.

Real-time Annotation Sync

Given multiple devices are logged in to the same account, when an annotation is updated on one device, then the change should be reflected in real-time on all devices.

Annotation Data Persistence

Given a user logs out and logs back in, when retrieving milestones, then all previously saved annotations should be accurately displayed as before.

Milestone Sharing Feature

"As a tech professional, I want to share my milestone map with my mentor so that I can receive constructive feedback and guidance on my career progression."

Description

Implement functionality that allows users to share their milestone maps with peers, mentors, or HR managers. The feature should include customizable privacy settings, enabling users to control what information is shared. It integrates with SkillSavvy’s networking capabilities and is designed to foster collaboration, peer feedback, and support career development by highlighting key achievements.

Acceptance Criteria

Share Milestone Map with Peers

Given a user on the Milestone Mapper page, when they click on the 'Share' button, then they should be prompted to choose privacy settings and specify recipients, with a confirmation message upon successful sharing.

Customizable Privacy Settings

Given a user accessing the Milestone Sharing Feature, when they modify privacy settings for their milestone map, then only the selected information is shared with the designated recipients.

Integration with SkillSavvy Networking

Given a shared milestone map, when the recipient views the map, then it should seamlessly link back to the user's SkillSavvy profile and integrate with the network's interaction features like comments and likes.

Real-time Milestone Map Preview

Given a user adjusting their sharing options, when they preview their milestone map, then the display should update in real time to reflect privacy settings and visible data.

Sharing Confirmation and Feedback

Given a user completes the share process, when the map is successfully shared, then a confirmation message is displayed with an option for the user to provide feedback or report issues.

Journey Tailor

Customize each learning path with precision using Journey Tailor. Leveraging employee data, this feature creates bespoke learning journeys that adapt to individual strengths, interests, and career objectives, ensuring that every step is relevant and impactful.

Requirements

Employee Data Integration

"As a tech HR manager, I want to seamlessly integrate employee data from various systems so that I can empower the Journey Tailor feature to create personalized learning paths that accurately reflect individual employee strengths and areas for growth."

Description

This requirement involves integrating employee data from disparate sources, including HR systems, skill assessments, and learning management platforms, ensuring accurate and comprehensive datasets are available to power the Journey Tailor feature. The integrated data will enable personalized and adaptive learning journeys tailored to individual performance metrics and career objectives. Implementation entails establishing secure and reliable data pipelines, mapping data fields appropriately, and ensuring compliance with data privacy regulations.

Acceptance Criteria

Secure Data Pipeline Establishment

Given disparate data sources (HR systems, skill assessments, LMS) are configured, when the data integration process is executed, then the system must securely transfer and store data in a unified repository using encryption protocols, ensuring compliance with data privacy regulations.

Accurate Data Mapping and Synchronization

Given the defined employee data fields, when mapping is applied during integration, then each field must be accurately matched and synchronized across all sources with an error rate of less than 1%.

Real-Time Data Availability for Journey Tailor

Given the integrated data is required for generating personalized learning journeys, when Journey Tailor requests employee data, then the data must be delivered in real-time with a maximum latency of 5 seconds to support dynamic updates.

Adaptive Learning Path Algorithm

"As an employee, I want my learning path to adapt as my skills grow so that I can continuously receive recommendations that are aligned with my evolving career goals."

Description

This requirement focuses on developing an algorithm that dynamically adjusts learning paths based on real-time employee performance, skill gaps, and career objectives. The algorithm will analyze integrated data to recommend customized courses and adjust recommendations as learning progresses, ensuring each journey remains relevant and timely. This smart algorithm is central to providing a personalized experience in Journey Tailor.

Acceptance Criteria

Real-Time Learning Adaptation

Given an employee completes a course module and the performance data is updated in real-time, when the Adaptive Learning Path Algorithm processes this data, then the learning path is dynamically adjusted to include recommended courses that address current skill gaps.

Customized Course Recommendations

Given an employee profile containing career objectives and performance indicators, when the algorithm analyzes this data, then it should generate a list of personalized course recommendations that align with the individual’s learning needs.

Dynamic Response to Skill Gaps

Given updated performance assessments that indicate a new skill gap, when the algorithm receives the updated data, then it must adjust the learning path to incorporate targeted remedial courses.

Continuous Improvement Through Feedback

Given that employees submit feedback after completing learning sessions, when the algorithm processes this feedback, then it must refine future course recommendations to better accommodate individual learning preferences.

Data Consistency Across Integrated Sources

Given that the algorithm integrates data from multiple sources such as HR systems, LMS, and performance trackers, when processing the data inputs, then it must validate and cross-reference these to ensure consistent and accurate updates to learning path recommendations.

Visual Progress Tracker

"As a tech professional, I want to visually track my learning progress and upcoming milestones so that I can stay motivated and clearly understand my development journey."

Description

This requirement entails creating a visual progress tracker within the Journey Tailor interface to display an individual’s learning journey, completed milestones, and upcoming course recommendations. The tool will offer an intuitive layout that motivates users by providing a clear, real-time snapshot of their progress and enabling efficient navigation through personalized learning modules.

Acceptance Criteria

Progress Tracker Real-Time Update

Given a logged-in user viewing their learning journey, when the user completes a module, then the visual progress tracker must immediately update to reflect the newly achieved milestone.

Visual Milestone Indicators

Given that the user has defined milestones in their learning path, when a milestone is reached, then clear visual indicators (such as icons, color changes, and progress bars) must accurately represent this achievement on the tracker.

Upcoming Course Recommendation Display

Given the incorporation of AI-driven personalized recommendations, when the progress tracker is accessed, then the tracker must display upcoming courses relevant to the user’s learning journey with correct sequencing.

Efficient Navigation to Learning Modules

Given that each milestone is interactive on the visual progress tracker, when a user clicks a milestone, then the interface must smoothly navigate to the detailed page of the corresponding learning module, ensuring minimal load time and intuitive user experience.

Feedback and Course Adjustment Module

"As a tech employee, I want to give feedback on my learning courses so that the Journey Tailor feature can adjust future recommendations to better suit my learning style and career objectives."

Description

This requirement includes developing a module for collecting and analyzing user feedback on courses and learning paths. It involves gathering quantitative and qualitative data through course ratings and surveys to continuously refine and tailor future recommendations. The module will integrate with the adaptive algorithm to ensure the Journey Tailor feature remains aligned with user needs and learning outcomes.

Acceptance Criteria

Post-Course Survey Trigger

Given a course is completed, when a user selects to provide feedback, then the system automatically triggers a survey with a rating scale from 1 to 5 and an optional text field.

Real-Time Data Aggregation

Given feedback submissions are made, when the data is sent to the backend, then the system aggregates ratings and comments to update the analytics dashboard within 2 minutes.

Algorithm Adjustment with Feedback

Given user feedback is analyzed, when patterns indicating course ineffectiveness are detected, then the adaptive recommendation algorithm updates future course suggestions automatically.

Feedback Data Integrity and Security

Given a feedback entry is received, when the data is stored, then it is encrypted, validated for completeness, and adheres to security compliance standards.

Progress Predictor

Anticipate your growth with Progress Predictor. This feature utilizes advanced analytics to forecast future learning milestones and potential career trajectories, empowering users with insights to strategically plan their professional development.

Requirements

Data Integration Engine

"As a tech employee, I want all my learning data to be seamlessly integrated so that I can receive accurate and personalized progress predictions, enabling me to plan my career development effectively."

Description

Integrate various data sources including learner activities, course completions, and performance assessments into a unified analytics module that fuels the Progress Predictor. This comprehensive integration ensures accurate, real-time forecasting by providing a consistent data stream for the predictive model, thereby enhancing personalized learning insights and enabling precise tracking of learning milestones.

Acceptance Criteria

Real-time Data Aggregation

Given new learner activity data is generated, when the Data Integration Engine processes it, then the data is immediately updated in the unified analytics module in real-time.

Unified Course Completion Data

Given a course completion event is recorded, when the Data Integration Engine retrieves the completion data from various sources, then it must consolidate the data with accurate timestamps in the analytics module.

Performance Assessment Sync

Given performance assessment results are available, when the Data Integration Engine integrates these results, then the data must be accurately merged to reflect the latest performance metrics in the predictive model.

Data Consistency and Accuracy Check

Given the integration of multiple data sources, when the Data Integration Engine compiles the data, then it must validate data consistency and accuracy across all metrics used for forecasting.

Secure Data Transmission

Given the requirement to transmit sensitive educational data, when the Data Integration Engine sends data between systems, then it must utilize secure protocols to ensure data integrity and confidentiality.

Predictive Analytics Model

"As a tech HR manager, I want a reliable predictive analytics tool that forecasts employee growth so that I can proactively design training programs to bridge future skill gaps."

Description

Develop and deploy a machine learning-based analytics model that leverages historical and real-time learning data to forecast future milestones and career trajectories. The model will refine its predictions continuously based on individual learning patterns, ensuring that the Progress Predictor delivers relevant and actionable insights to both employees and HR managers.

Acceptance Criteria

Real-Time Data Integration

Given that real-time learning data is streamed into the system, when the predictive model receives data updates, then it must update the career trajectory predictions within 5 minutes.

Historical Data Accuracy

Given that historical learning data is utilized, when the model processes past data sets, then it must achieve at least a 95% accuracy in predicting previously observed learning milestones.

Continuous Learning and Refinement

Given that individual learning patterns are updated over time, when new data is integrated, then the model must continuously refine its predictions to show a minimum 10% improvement in accuracy over baseline predictions each quarter.

Predictive Insights Delivery

Given that a user requests their personalized career trajectory, when the progress predictor retrieves predictions, then the model must deliver actionable insights within 3 seconds.

Interactive Progress Dashboard

"As a tech employee, I want an engaging and easy-to-understand dashboard displaying my predicted learning milestones so that I can strategically plan my professional development."

Description

Create an interactive dashboard that visually presents the forecasted learning milestones, potential career paths, and identified skill gaps. This user-friendly interface will allow users to explore their predicted progress, view detailed analytics, and access personalized recommendations, making the insights provided by the Progress Predictor both actionable and engaging.

Acceptance Criteria

Dashboard Visualization

Given a tech professional accesses the dashboard, when the dashboard is loaded, then all forecasted learning milestones, potential career paths, and identified skill gaps are clearly displayed in an interactive format.

Interactive Data Exploration

Given a user selects a forecast element, when the user clicks on it, then detailed analytics and personalized recommendations are immediately provided for that element.

Real-Time Dashboard Updates

Given that new data is available, when the dashboard is refreshed, then updated progress predictions, skill gaps, and career path insights are seamlessly integrated without a full page reload.

User Engagement Monitoring

Given that a user navigates the dashboard, when the session is being monitored, then the system logs interaction metrics that meet or exceed defined engagement thresholds.

Responsive Design

Given the dashboard is accessed via different devices, when a user views the interface, then the dashboard automatically adjusts to ensure optimal layout and usability across all supported devices.

Adaptive Pathway

Experience dynamic learning that evolves with you. Adaptive Pathway continuously recalibrates the learning journey in real-time based on performance metrics and feedback, ensuring that the path to rapid skill mastery remains optimized and responsive to current needs.

Requirements

Real-time Performance Monitoring

"As a tech HR manager, I want to see real-time performance data so that I can validate and adjust the learning strategies to meet each employee's evolving needs."

Description

This requirement involves implementing a robust system to continuously monitor and capture user performance metrics, learning progress, and engagement levels in real-time. It ensures that Adaptive Pathway has access to the most current data, enabling precise adjustments to the learning journey. By integrating seamless data aggregation and analysis, this feature will provide insights that directly inform the dynamic re-calibration of the learning experience, enhancing the platform's responsiveness and effectiveness.

Acceptance Criteria

User Performance Dashboard Access

Given real-time performance data is captured continuously, when a tech employee logs in, then the dashboard displays the latest metrics including learning progress, engagement levels, and identified skill gaps.

Dynamic Learning Path Recalibration

Given performance and engagement metrics are aggregated in real-time, when user input or performance changes are detected, then the Adaptive Pathway automatically adjusts the learning plan with updated course recommendations.

Real-time Data Aggregation Integrity

Given data is collected from multiple sources, when aggregation occurs, then the system ensures synchronized and accurate performance metrics with no delays over 2 seconds.

System Notifications for Performance Alerts

Given performance metrics fall below defined thresholds, when such events are detected, then the system triggers instant notifications to both the user and relevant HR managers for further action.

Dynamic Learning Adjustment Engine

"As a tech employee, I want my learning pathway to adjust automatically based on my performance so that I can continuously challenge myself and efficiently improve my skills."

Description

This requirement centers on developing an intelligent engine that automatically recalibrates the user’s learning pathway based on real-time performance data and user feedback. The feature will analyze user engagement, problem areas, and mastery levels, then adjust content difficulty, pace, and topic prioritization dynamically. It is crucial for delivering a personalized, adaptive learning experience that evolves continuously, ensuring optimal skill development.

Acceptance Criteria

RealTime Adjustment

Given the user completes a learning segment with suboptimal performance, when the engine receives the performance data, then it should immediately adjust the difficulty level of the subsequent content.

Dynamic Feedback Integration

Given the user submits feedback after completing a module, when the engine processes this input, then it should update the content prioritization dynamically to better suit the user’s preferences.

Adaptive Learning Prioritization

Given the user shows varying mastery levels across different topics, when the engine analyzes the performance metrics, then it should prioritize content areas that require more focus to bridge identified skill gaps.

Behavioral Engagement Response

Given the user exhibits low engagement signals such as extended inactivity or repeated quiz failures, when the engine detects these patterns, then it should trigger adjustments to enhance engagement, like modifying pace or introducing motivating content.

Continuous Learning Calibration

Given the engine continually collects real-time performance data and feedback, when the measurable indicators exceed set thresholds, then it should recalibrate the learning pathway continuously to reflect current learning needs.

Personalized Feedback Integration

"As a tech employee, I want to receive detailed, personalized feedback on my performance so that I can understand my strengths and areas for improvement, ensuring my learning path remains effective."

Description

This requirement involves incorporating a continuous, personalized feedback mechanism into the Adaptive Pathway. The system will collect qualitative and quantitative feedback from both the user and the learning analytics engine, then translate this information into actionable recommendations. This integration is essential for refining the adaptive algorithm, ensuring each user receives a bespoke learning experience that is aligned with their individual needs and professional growth goals.

Acceptance Criteria

Real-Time Performance Feedback Delivery

Given the user is engaged in a learning module, when performance metrics fall below a predefined threshold, then the system delivers an automated, personalized feedback prompt with actionable recommendations.

Post-Module Feedback Analysis

Given the user completes a learning module, when qualitative feedback is submitted, then the system integrates analytics feedback to update the adaptive algorithm for future recommendations.

Continuous Adaptive Learning Adjustments

Given comprehensive feedback from both the user and the learning analytics engine, when feedback is processed, then the system recalibrates the learning pathway in real time to reflect updated learning needs.

Automated Actionable Recommendation Compilation

Given that feedback is collected from multiple sources, when the system aggregates this data, then it generates and displays a list of actionable recommendations in real time.

Feedback Error Handling and User Notification

Given the system encounters an error during feedback integration, when an error is detected, then the system notifies the user with clear instructions and logs the error for technical follow-up.

GoalSync Alerts

Stay on track with GoalSync Alerts. Receive timely notifications and reminders about upcoming milestones and course recommendations tailored to your progress, helping you maintain focus and motivation throughout your learning journey.

Requirements

Milestone Notifications

"As a tech employee, I want to receive alerts for upcoming learning milestones so that I can manage my course progression effectively."

Description

Implement a notification system that alerts users when key learning milestones are approaching, ensuring timely reminders to complete required tasks and maintain progress towards their goals.

Acceptance Criteria

Upcoming Milestone Alert

Given a user with a milestone scheduled within 48 hours, when the system runs a check for upcoming milestones, then the user receives a notification alert with milestone details.

Personalized Reminder Frequency

Given a user enrolled in a course, when a milestone is nearing its deadline, then the alert system sends notifications at adaptive intervals based on the user's progress.

Notification Channel Verification

Given a user with multiple communication channels enabled, when a milestone alert is triggered, then the notification is dispatched simultaneously to all selected channels and is delivered within 5 minutes.

Accurate Milestone Data Display

Given that a milestone notification is generated, when a user views the notification, then it must display accurate details, including course name, deadline, and current progress metrics.

User Acknowledgment Tracking

Given a milestone notification is received, when the user acknowledges or snoozes the alert, then the system records the action and adjusts subsequent notifications accordingly.

Tailored Course Reminders

"As a tech HR manager, I want to receive personalized course recommendations so that I can support my team in bridging their skill gaps."

Description

Develop personalized reminders that leverage AI-driven insights to provide course recommendations based on individual learning progress and identified skill gaps, ensuring a customized learning experience.

Acceptance Criteria

Personalized Alert Notification

Given a user has an active learning account, When their progress nears a specified milestone, Then the system sends a personalized course reminder that leverages AI-driven insights to address identified skill gaps.

Timing-Based Reminder Trigger

Given that a user’s upcoming course completion deadline is within the next 48 hours, When the system evaluates the user's progress, Then it triggers a notification with tailored course recommendations based on recent learning activities.

User Interaction Logging

Given a user receives a tailored course reminder, When the user interacts with the notification (clicks or dismisses), Then the system logs the interaction and updates the AI model to refine future recommendations.

Alert Preference Customization

"As a tech professional, I want to customize my alert settings so that I can receive notifications in a manner that suits my workflow."

Description

Allow users to customize the frequency, delivery channel (e.g., email, SMS, in-app), and types of alerts they receive, ensuring that notifications align with their personal preferences and work schedules.

Acceptance Criteria

User Alert Frequency Customization

Given a user is on the alert preferences page, when they select a notification frequency (daily, weekly, or monthly) and save the changes, then the system should schedule alerts based on the chosen frequency.

User Delivery Channel Selection

Given a user is on the alert preferences page, when they select one or more delivery channels (email, SMS, in-app) and save the configuration, then the system should send alerts via the selected channels.

User Alert Types Customization

Given a user is customizing their alert settings, when they choose specific alert types (e.g., milestone reminders, course recommendations) and confirm the selections, then only those alert types should be delivered.

Alert Preferences Persistence

Given a user updates their alert settings, when they log out and log back in, then the system must persist and display the updated alert preferences.

Real-time Notification Adjustment

Given a user updates alert settings during an active session, when they save changes, then the system should immediately adapt the alert delivery according to the new settings.

Instant Quiz Builder

Instant Quiz Builder empowers users to create interactive, rapid quizzes with minimal setup. This dynamic tool enables tech HR managers and proactive learners to quickly deploy assessments, capturing real-time insights and fine-tuning course recommendations immediately.

Requirements

Dynamic Question Library

"As a tech HR manager, I want a dynamic question library so that I can quickly assemble diverse quizzes that cater to the varied learning needs of employees."

Description

The Dynamic Question Library enables users to select and integrate multiple question types to support versatile quiz designs. It offers a user-friendly interface allowing HR managers to add, modify, and organize questions, thereby streamlining the creation process of assessments. The module automatically suggests contextually relevant questions based on AI analysis of learner profiles, enhancing the personalization of learning paths provided by SkillSavvy.

Acceptance Criteria

Adding and Organizing Questions

Given a HR manager is using the Dynamic Question Library, when they add, modify, or remove a question, then the changes are immediately reflected in the quiz structure and the database is updated accordingly.

Editing Existing Questions

Given a HR manager selects an existing question, when they edit the content or change the question type, then the system should display an immediate preview of the changes and provide options to save or cancel to ensure data integrity.

Real-Time AI Suggestions

Given a learner's profile with defined skill gaps, when the HR manager accesses the Dynamic Question Library, then the system automatically generates at least three contextually relevant question suggestions based on AI analysis.

Multiple Question Type Integration

Given the need for diverse assessments, when a user integrates questions into a quiz, then the system must support multiple question types (e.g., multiple choice, true/false, open-ended, and matching) and allow easy selection and integration.

User-Friendly Interface Navigation

Given a HR manager navigating the Dynamic Question Library interface, when they perform add, modify, or delete actions, then the system provides intuitive navigation with tooltips and help information to ensure a seamless user experience.

Real-Time Quiz Analytics

"As a tech HR manager, I want to see real-time analytics so that I can instantly gauge quiz performance and adjust learning recommendations accordingly."

Description

This feature provides real-time analytics for quizzes, offering immediate insights into user performance and engagement. By integrating interactive dashboards with live data visualization, HR managers can monitor quiz outcomes, track progress, and adjust course recommendations instantly. This module enhances decision-making and drives immediate improvements in course recommendations based on assessment results.

Acceptance Criteria

Dashboard Data Update

Given a deployed quiz, when the quiz data is updated, then the analytics dashboard shall reflect the new quiz results within 2 seconds.

Performance Metrics Monitoring

Given HR manager access, when viewing quiz results, then the system shall display correct performance metrics such as average scores, completion rates, and engagement levels in real time.

Real-Time Data Accuracy

Given a continuous quiz session, when data is streamed to the dashboard, then the analytics shall accurately represent user responses without errors or latency discrepancies.

Interactive Dashboard Response

Given interactive chart elements on the dashboard, when a user applies filters or drill-down options, then the visualizations shall update immediately and correctly reflect the selected data parameters.

Immediate Insights for HR Managers

Given the completion of a quiz session, when a quiz ends, then the system shall generate an immediate summary report displaying insights on user performance and engagement, enabling HR managers to adjust course recommendations instantly.

Customizable Quiz Templates

"As a proactive learner, I want to use customizable quiz templates so that I can engage with assessments that reflect my learning pace and style."

Description

The customizable quiz templates module empowers users to quickly generate quizzes using pre-designed formats that can be tailored to specific assessment needs. This feature minimizes setup time and ensures consistency, while allowing for adjustments in layout, sequence, and design elements. It seamlessly integrates with SkillSavvy’s personalized learning recommendations to keep quizzes aligned with user profiles and course content.

Acceptance Criteria

Template Customization

Given a user selects a pre-designed quiz template, when the user customizes layout, sequence, and design elements, then the system must update the preview in real-time reflecting the changes.

Seamless Integration

Given a customized quiz is saved, when the system processes the quiz, then the quiz must automatically align with the personalized learning recommendations based on user profiles and course content.

Minimal Setup Time

Given a user chooses a pre-designed template, when the quiz is generated, then the setup and deployment process should take under 2 minutes.

Accessibility Compliance

Given any user accesses the quiz interface, when a quiz template is rendered, then it must meet WCAG 2.1 AA accessibility guidelines.

AI-Driven Question Suggestions

"As a tech HR manager, I want AI-driven question suggestions so that I can build quizzes that adapt to evolving skill requirements and learner progress."

Description

This feature leverages AI algorithms to provide personalized question suggestions based on an analysis of historical quiz data, learner performance, and course interactions. It continuously improves the relevance of quizzes by recommending questions that close learning gaps, thereby enhancing the adaptive learning experience. This integration ensures that every quiz contributes to a more effective and targeted learning path on SkillSavvy.

Acceptance Criteria

Real-Time Data Analysis

Given historical quiz data and learner interactions, when the AI algorithm processes the data, then it should produce personalized question suggestions that increase quiz relevance and engagement.

Dynamic Quiz Adaptation

Given an ongoing quiz session, when the learner exhibits specific performance trends, then the system should dynamically generate question suggestions that target identified learning gaps.

Performance-Based Question Customization

Given a learner's performance metrics, when the system analyzes past quiz responses, then it should adjust the difficulty and content of suggested questions to align with the learner's proficiency level.

Continuous Learning Feedback Loop

Given continuous monitoring of learner performance data, when new insights are obtained from quiz interactions, then the system should update and refine the AI-driven question suggestions accordingly.

Collaborative Quiz Review

"As a subject matter expert, I want a collaborative quiz review system so that I can help refine assessments through real-time feedback and ensure they meet training standards."

Description

The collaborative quiz review feature facilitates team-based evaluation and feedback on quizzes, enabling HR managers and subject matter experts to co-create assessments. This module supports real-time collaboration, version control, and feedback loops to ensure quizzes are expertly vetted and aligned with organizational training standards. This cooperative approach enhances the overall quality and effectiveness of assessments.

Acceptance Criteria

Real-Time Collaboration

Given multiple users are editing a quiz, when an edit is saved, then all participants must see the update in less than 2 seconds.

Version Control Integrity

Given a revision of a quiz review, when a user reverts to a previous version, then the system must restore all original quiz content and annotations accurately.

Feedback Loop Efficiency

Given a quiz under review, when a team member submits feedback, then the feedback should be instantly visible to all team members within the session.

Permissions and Access Control

Given the HR manager role is active, when attempting to finalize quiz reviews, then the system must ensure that write access is restricted to authorized roles only.

Review Completion Notification

Given a collaborative quiz review session, when all designated reviewers mark the review as complete, then an automatic completion notification should be sent to all participants.

Adaptive Quiz Engine

Adaptive Quiz Engine leverages AI to adjust quiz difficulty on the fly based on a user's performance. By providing a customized assessment experience, it ensures that each quiz accurately reflects the individual’s skill level and directs learners to the most relevant courses.

Requirements

Dynamic Difficulty Adjustment

"As a learner, I want the quiz to adjust its difficulty in real-time based on my performance so that I remain engaged and appropriately challenged throughout the assessment."

Description

Implement a real-time algorithm that adjusts quiz difficulty based on the learner's performance metrics during the quiz. The system evaluates response times, accuracy, and overall performance to seamlessly shift question difficulty, ensuring that each test is tailored to the user's current skill level. This adaptive mechanism not only maintains a balanced challenge but also provides immediate feedback to optimize learning outcomes.

Acceptance Criteria

Real-time Performance Analysis

Given a user's performance data during the quiz, when responses and accuracy are recorded, then the algorithm shall adjust quiz difficulty in real time.

Seamless Question Difficulty Transition

Given a change in user's performance metrics mid-quiz, when the algorithm determines the need for adjustment, then the system shall automatically select questions at a new difficulty level without interrupting the quiz flow.

Immediate Feedback Mechanism

Given completion of a quiz question, when the system updates the user's performance metrics, then the system shall provide immediate feedback regarding the adjusted difficulty level and current progress.

Performance Metrics Logging

Given the dynamic difficulty adjustments applied during a quiz, when a quiz session is completed, then all performance metrics (response times, accuracy, and overall performance) shall be logged for further analysis.

Real-Time Performance Tracking

"As a learner, I want my quiz responses to be tracked in real time so that the system can adapt and challenge me accurately based on my current performance."

Description

Develop a performance monitoring module that captures and analyzes user responses instantly during quizzes. This module should track metrics such as answer speed, correctness, and response patterns to provide continuous data input for the adaptive algorithm. Integrating real-time tracking ensures that the system can make swift modifications to the question set, aligning with the user’s evolving proficiency.

Acceptance Criteria

Dynamic Quiz Adjustment

Given a user starts a quiz, when the user answers a question, then the system must capture answer speed, correctness, and response patterns in real time and update the quiz difficulty accordingly.

Instant Feedback Integration

Given a response submission, when a user answers a question, then the system should immediately log the response time and correctness to inform the adaptive algorithm.

Aggregate Performance Logging

Given a quiz session, when the quiz ends, then the system must aggregate and persist performance metrics (answer speed, correctness, and response patterns) for future analysis.

Error Handling During Tracking

Given a network or system error during a quiz, when performance data tracking is interrupted, then the system should employ fallback mechanisms to capture and eventually sync the missing data.

User Analytics Dashboard Sync

Given an ongoing quiz session, when real-time performance data is captured, then the system must update the user analytics dashboard continuously with up-to-date metrics.

Personalized Course Recommendations

"As a learner, I want to receive course recommendations based on my quiz performance so that I can easily find learning materials that address my specific skill gaps."

Description

Integrate an intelligent recommendation engine that uses the outcome of the adaptive quiz to suggest personalized learning paths. This feature analyzes the quiz results to identify skill gaps and strengths, then recommends the most relevant courses and resources for further development. Such integration not only bridges the gap between assessment and learning but also enhances user motivation by offering immediately applicable next steps.

Acceptance Criteria

Post-Quiz Recommendation Display

Given a user completes an adaptive quiz, when the quiz results are processed, then the system must display personalized course recommendations based on individual performance.

Accurate Skill Gap Identification

Given a user completes an adaptive quiz, when the quiz results are analyzed, then the system must identify and highlight the user's top three skill gaps with a minimum accuracy threshold of 80%.

Relevant Course Navigation

Given personalized course recommendations are displayed, when a user selects a recommended course, then the system must navigate the user to the corresponding course content page with all accurate course details.

Real-Time Feedback

Real-Time Feedback delivers instant analysis and scoring as quizzes are completed. This feature not only motivates learners by showing immediate progress but also helps them understand their strengths and areas for improvement, enhancing overall engagement.

Requirements

Instant Quiz Feedback

"As a learner, I want to receive immediate feedback on my quiz performance so that I can quickly understand my progress and adjust my study plan accordingly."

Description

This requirement ensures that as soon as a quiz is completed, the system analyzes responses in real-time, computes scores, and provides instant, detailed feedback. This immediate analysis helps learners quickly identify their strengths and areas for improvement, fostering continuous learning and engagement. It integrates seamlessly with SkillSavvy by leveraging AI-driven analytics that align with personalized learning paths.

Acceptance Criteria

Quiz Completion Analysis

Given a user completes a quiz, when the quiz is submitted, then the system should compute the score in under 2 seconds and display detailed feedback including correct answers, user responses, and explanations.

Real-Time Feedback Accuracy

Given a user receives feedback, when the system computes the score, then the feedback details must match backend analytics with at least 95% accuracy.

User Interface Integration

Given a quiz is completed, when the system processes quiz results, then the computed score and detailed feedback should be properly rendered on the user dashboard without layout issues.

AI-Driven Personalized Recommendations

Given the feedback is generated, when the learning analytics module processes user performance, then personalized course recommendations should be displayed based on the identified strengths and skill gaps.

Dynamic Response Explanation

"As a learner, I want detailed explanations for my quiz responses so that I can understand the reasoning behind each score and improve my conceptual knowledge."

Description

This requirement enhances real-time feedback by providing detailed explanations for each quiz response. It breaks down the score and offers contextual insights into why answers were correct or incorrect. This feature helps learners grasp underlying concepts and correct misconceptions, reinforcing personalized learning and engagement in the SkillSavvy platform.

Acceptance Criteria

Instant Explanation for Each Response

Given a completed quiz question, when the response is submitted, then the system displays a detailed explanation breaking down the score and offering contextual insights for the answer.

Contextual Insight Validation

Given a specific quiz answer evaluation, when the answer is marked as correct or incorrect, then the system provides clear, concise insights explaining the underlying concepts and rationale behind the scoring.

Adaptive Feedback Timing

Given the completion of a quiz segment, when the user receives real-time feedback, then the explanation and insights are displayed within three seconds of answer submission to ensure immediate learning reinforcement.

Performance Progress Dashboard

"As a learner, I want to view a progress dashboard that aggregates real-time feedback so that I can monitor my performance trends and adjust my learning strategies."

Description

This requirement aggregates real-time quiz feedback into a visual dashboard that tracks performance trends over time. It presents interactive charts and analytics to help learners monitor their progress, identify patterns, and set personalized learning targets. Integrated with SkillSavvy's core functionalities, it motivates continuous improvement and skill advancement.

Acceptance Criteria

Dashboard Data Aggregation

Given a quiz is completed, when the results are processed, then the performance dashboard aggregates and displays real-time feedback data accurately.

Interactive Performance Charts

Given the performance progress dashboard is accessed, when interactive charts are displayed, then users can filter performance metrics by date range and quiz category seamlessly.

User-Defined Learning Targets

Given a learner reviews their performance trends, when setting or adjusting learning targets, then the system captures the input and provides personalized course recommendations based on historical performance data.

Gamified Challenge

Gamified Challenge adds an element of fun and competitiveness to the learning process. By introducing game mechanics like rewards, points, and leaderboards, it boosts engagement and encourages continuous participation in the skill assessment journey.

Requirements

Points System Integration

"As a tech employee, I want my completed challenges to be automatically converted into points so that I can track my progress and see tangible benefits from my learning activities."

Description

Implement a system that calculates and tracks points for every completed learning activity and challenge within SkillSavvy's Gamified Challenge feature, ensuring seamless integration with user profile data and the overall gamification framework to drive engagement.

Acceptance Criteria

Activity Completion Points Calculation

Given a user completes a learning activity, When the activity is marked as finished, Then the system must calculate and add the correct points to the user profile.

Challenge Completion Points Tracking

Given a user finishes a gamified challenge, When the challenge is completed, Then the system must update the leaderboard and user profile with the accurate points earned.

Real-Time Points Synchronization

Given points are awarded for a learning activity or challenge, When the points are computed, Then they must be reflected immediately on the user's dashboard and profile.

Points Calculation Error Handling

Given a system error during points computation, When an error is encountered, Then the system must log the error, notify the administrator, and ensure point totals remain accurate.

Rewards Distribution Engine

"As a tech employee, I want to earn rewards for my achievements so that I feel motivated to continue engaging with the learning material and push my boundaries."

Description

Design a flexible rewards engine that awards users with badges, certificates, or tangible benefits upon achieving challenge milestones, ensuring that the reward logic is dynamic and customizable based on performance.

Acceptance Criteria

Dynamic Reward Assignment

Given a user achieves a challenge milestone, when performance thresholds are met, then the system assigns a badge, certificate, or tangible benefit as specified by the reward configuration.

Reward Customization

Given the admin defines custom reward logic, when a user completes a challenge, then the rewards distributed should dynamically reflect the customized rules set by the admin.

Real-time Reward Notification

Given a user reaches a reward milestone, when the reward is assigned, then the system must send a real-time notification to the user confirming the reward awarded.

Reward History Tracking

Given a user accumulates rewards over multiple challenges, when rewards are distributed, then a detailed history log should be maintained and accessible via the user's profile.

Integration with Gamification Module

Given the rewards engine and gamification features are integrated, when a reward is assigned, then the leaderboard and scoreboards should update to reflect accurate reward and achievement data.

Leaderboard Visualization

"As a tech HR manager, I want to view and analyze team leaderboards so that I can identify top performers and encourage a competitive yet collaborative environment."

Description

Develop an interactive leaderboard that displays user rankings based on points and challenge achievements, with features to filter by department or challenge type, enhancing competitive spirit and transparency across the organization.

Acceptance Criteria

Real-Time Ranking Display

Given a user is viewing the leaderboard, when new challenge results are recorded, then the leaderboard must update within 5 seconds to reflect the most current rankings.

Department Filter Functionality

Given a user selects a department filter, when the filter is applied, then the leaderboard must display only the rankings for users belonging to that department, sorted by points.

Challenge Type Filter Functionality

Given a user applies a challenge type filter, when the filter is activated, then the leaderboard must accurately display rankings specific to the selected challenge type.

Responsive Design on Multiple Devices

Given the leaderboard is accessed on varying devices, when the page is rendered, then it must maintain usability and visual integrity across both desktop and mobile platforms.

Leaderboard Data Security

Given the leaderboard contains sensitive performance data, when data is transmitted or stored, then it must be encrypted and accessible only to authorized users with appropriate role-based permissions.

Challenge Notification System

"As a tech employee, I want to receive timely notifications about new challenges and reward updates so that I never miss an opportunity to engage and improve my skills."

Description

Implement a real-time notification system that alerts users to new challenges, updates on points, and changes in leaderboard standings, thereby enhancing timely engagement and continuous participation.

Acceptance Criteria

Real-time Challenge Notification

Given a new challenge is published or an update occurs, when the event is triggered by the system, then the user must receive a notification within 2 seconds displaying clear information about the challenge or update.

Accurate Leaderboard Update Alerts

Given an update in leaderboard standings, when the user's ranking or points change, then a notification reflecting the new statistics must be sent immediately with accurate data.

User Notification Preference Customization

Given a user configures their notification settings, when the system processes events related to challenges and point updates, then notifications should adhere to the user’s preferences (enabled/disabled, frequency, etc.).

Skill Sharpener

Skill Sharpener analyzes quiz performance over time to identify knowledge gaps and recommend targeted micro-lessons. This feature continuously refines learning paths, ensuring that both tech HR managers and employees receive ongoing, customized support to close skill gaps effectively.

Requirements

Quiz Performance Analytics

"As a tech employee, I want to see detailed insights of my quiz performance so that I can identify my weak areas and focus on targeted learning."

Description

Implement analytics to track and analyze user quiz performance over time, highlighting knowledge gaps, trends, and areas requiring improvement. Integrate analysis with ongoing micro-lesson recommendations to adapt learning paths continuously, ensuring the learning paths are data-driven and personalized.

Acceptance Criteria

Real-Time Quiz Analytics Monitoring

Given a user completes a quiz, when the quiz is submitted, then the system immediately updates performance metrics and flags any knowledge gaps.

Historical Performance Trend Analysis

Given a user accesses the analytics dashboard, when they select a time range, then the system displays historical performance trends and highlights changes in quiz scores.

Automated Targeted Micro-Lesson Trigger

Given the identification of consistent knowledge gaps, when analytics detect a recurring underperformance, then the system triggers a recommendation for a targeted micro-lesson.

User Dashboard Integration

Given multiple quiz attempts by a user, when they visit their dashboard, then the system displays an aggregated view of quiz performance, trends, and micro-lesson suggestions.

Error Handling in Data Processing

Given an anomaly in quiz data processing, when an error occurs, then the system logs the error and provides a clear notification to the user without interrupting their experience.

Micro-Lesson Recommendation Engine

"As a tech HR manager, I want recommendations for micro-lessons based on employee performance data so that I can ensure every team member is effectively closing their skill gaps."

Description

Develop an intelligent recommendation engine that leverages quiz performance data to recommend targeted micro-lessons. It should refine suggestions dynamically as user performance evolves, offering relevant, bite-sized learning modules that close identified skill gaps and enhance personalized learning paths.

Acceptance Criteria

Quiz Data Analysis

Given a set of user quiz scores, when the recommendation engine processes the data, then it must generate targeted micro-lesson recommendations addressing the identified weak skills with a defined minimum accuracy threshold.

Dynamic Recommendation Update

Given that user performance evolves over time, when new quiz scores are submitted, then the system should dynamically update the micro-lesson recommendations in real-time to reflect the latest performance trends.

Skill Gap Accuracy Threshold

Given a defined skill gap for a user, when the recommendation engine analyzes the performance data, then it must correctly identify the gap with an accuracy of at least 90% to trigger appropriate micro-lesson suggestions.

User Notification on Recommendation

Given the generation of new micro-lesson recommendations, when the system updates the user's personalized learning path, then a notification should be sent to the user indicating the availability of updated content.

Real-Time Performance Feedback

"As a tech employee, I want to receive immediate feedback during quizzes so that I can quickly adjust my understanding and improve my performance."

Description

Enable real-time feedback during quizzes to immediately notify users of errors and offer contextual hints. This will facilitate immediate correction, reinforce learning through on-the-spot explanations, and enhance engagement by providing instant personalized insights.

Acceptance Criteria

Real-Time Error Notifier

Given a user is taking a quiz, when they input an incorrect answer, then the system instantly displays an error notification along with a contextual hint.

Instant Correction Prompt

Given an incorrect answer entry, when the real-time feedback is triggered, then the system enables the user to immediately modify their answer.

On-The-Spot Explanation

Given the display of error feedback, when the user requests more information, then the system provides a concise and detailed explanation tailored to the mistake.

Dynamic Personalized Insights

Given continuous quiz attempts, when real-time feedback is provided, then the system automatically computes and displays personalized performance insights that update instantly.

Learning Path Adjustment Dashboard

"As a tech HR manager, I want a dashboard that visualizes performance trends and learning adjustments so that I can optimize our training strategy."

Description

Create a comprehensive dashboard that aggregates analytics on quiz performance and micro-lesson engagements, offering periodic summaries and trend visualizations. The dashboard should empower HR managers to monitor progress, adjust learning paths, and ensure that the learning system remains adaptive to evolving skill gaps.

Acceptance Criteria

Dashboard Performance Summary

Given quiz performance and micro-lesson engagement data, when new data is processed, then the dashboard must update periodic summaries and trend visualizations within a 2-minute window.

User Authorization & Access

Given a logged-in HR manager, when accessing the Learning Path Adjustment Dashboard, then the system should verify credentials and display analytics only to authorized users.

Interactive Trend Visualization

Given interactive dashboard elements, when an HR manager filters or sorts data by various time periods, then the dashboard must dynamically update to accurately reflect the selected criteria.

Real-Time Analytics Update

Given ongoing quiz sessions and micro-lesson engagements, when data changes occur, then the dashboard should refresh with updated analytics within a 5-second interval.

Customizable Report Generation

Given dashboard analytics, when an HR manager applies custom date ranges and selects specific metrics, then the system should generate and allow download of a report that accurately reflects the selected filters.

Gap Visualizer

Displays dynamic, interactive visualizations of skill gaps at both team and individual levels. This feature enables HR managers and employees to quickly identify current deficiencies, enabling targeted upskilling interventions that are visually intuitive and easily actionable.

Requirements

Dynamic Skill Gap Chart

"As an HR manager, I want to view interactive charts of skill gaps so that I can quickly identify deficiencies and plan targeted training interventions."

Description

Design and implement a dynamic visualization component that displays skill gaps in an interactive, easily navigable chart. This component should effectively illustrate data for both team and individual levels, enabling quick identification of skill deficiencies. It is aimed at empowering HR managers and employees by visually representing current skill gaps, thereby facilitating immediate and targeted upskilling interventions and aligning with the broader SkillSavvy user experience.

Acceptance Criteria

Skill Gap Chart - Data Loading

Given the dynamic skill gap chart has been initiated, when the data is fetched from the backend, then the chart should display accurate and interactive visualizations for both team and individual skill gaps.

Skill Gap Chart - Filtering Options

Given the chart is displayed, when a user applies a filter (e.g., by department or individual), then the chart should dynamically update to show filtered skill gap data specific to the selection.

Skill Gap Chart - Interactive Drill Down

Given the chart is visible, when a user clicks on a specific skill area, then the chart must provide a drill-down view with detailed breakdowns and percentage gap indicators.

Skill Gap Chart - Responsive Design

Given the variation in device screen sizes, when the chart is accessed via desktop, tablet, or mobile, then it should adapt its layout and maintain full interactive functionality across all devices.

Skill Gap Chart - Error Handling

Given the data retrieval process encounters an error, when the data fails to load, then the application should display a user-friendly error message with an option to retry the data fetch process.

Team-Level Gap Breakdown

"As an HR manager, I want to see a breakdown of skill gaps by team so that I can pinpoint which groups need more focused upskilling efforts."

Description

Implement a feature that aggregates and visually breaks down skill gap data at the team level. The visualization should clearly outline strengths and deficiencies across departments, featuring drill-down capabilities for detailed insights. This breakdown will help HR managers to diagnose and address team-specific skill needs in a comprehensible manner, enhancing strategic planning and resource allocation.

Acceptance Criteria

Team Gap Overview Access

Given an HR manager is logged in, when the team-level gap breakdown feature is accessed, then the system displays aggregated skill gap data for each department with clear visual indicators.

Interactive Drill-Down Functionality

Given that a user is viewing the aggregated dashboard, when a departmental segment is clicked, then a detailed breakdown of skill gaps for sub-teams and individual employees is displayed.

Data Accuracy Verification

Given that skill gap data is imported and aggregated, when the visualization renders, then the displayed percentages must accurately reflect the actual data with an allowable error margin of less than 2%.

Real-Time Data Update

Given that new training and performance data is available, when a data refresh operation is triggered, then the visualization updates automatically to reflect the most recent gap analysis.

Responsive Visualization Design

Given various device types (desktop, tablet, mobile), when the team-level gap breakdown is viewed, then the visualization adjusts its layout to ensure clarity and usability across all devices.

Individual Skill Analysis

"As an employee, I want to view my personal skill gap analysis so that I can focus on areas that need improvement in my career growth."

Description

Develop an individual analysis module within the Gap Visualizer that provides personalized visualizations of an employee’s skill gaps. This requirement involves integrating the module with employee profiles, allowing users to view their strengths, areas for improvement, and progress over time. The interactive functionality should include filtering, zooming, and hover-over details, ensuring that both employees and managers can easily identify critical skill development areas.

Acceptance Criteria

Profile Integration Verification

Given an employee with a complete profile, When they access the Individual Skill Analysis module, Then their profile data including skills and learning history should populate automatically.

Interactive Visualization Responsiveness

Given that the employee's skill data is loaded, When the user interacts with visual elements such as filtering, zooming, or hover-over details, Then the module must respond with updated information in less than 200ms.

Skill Gap Filtering Functionality

Given the individual analysis view, When the employee applies a filter to focus on specific skill gaps, Then the module should display only the relevant gaps and hide non-matching data.

Progress Over Time Analytics Rendering

Given an employee’s historical skill performance data, When the employee selects a specific time range, Then the interactive visualization should accurately render trends and progress over time.

User Accessibility and Usability

Given a user utilizing assistive technologies, When interacting with the Individual Skill Analysis module, Then all interactive elements must be fully navigable and compliant with WCAG 2.1 Level AA guidelines.

Real-Time Data Update

"As an HR manager, I want the visualizations to update in real-time so that I can make accurate decisions based on the latest data without any delay."

Description

Incorporate real-time data processing capabilities into the Gap Visualizer feature to ensure that the visualizations are updated dynamically with the latest workforce learning and skill gap data. This capability should be optimized for performance and seamlessly integrated with existing data pipelines, ensuring that HR managers and employees have immediate access to current insights for prompt decision-making.

Acceptance Criteria

Dynamic Data Feed for Team Skill Gap Visualization

Given that the Gap Visualizer is running, when new workforce learning or skill gap data is received from the real-time pipeline, then the visualization updates automatically within 5 seconds without requiring a manual refresh.

Optimized Data Processing under Concurrent Load

Given that multiple data sources send concurrent updates, when these updates are processed, then the real-time feature maintains performance with a latency under 3 seconds and no visual glitches in the Gap Visualizer.

Immediate Visual Feedback for Significant Data Shifts

Given that the visualizations display aggregated skill gaps, when a significant data change (e.g., ≥20% change) is detected, then the system provides immediate visual feedback or notification to the HR manager.

Trend Analyzer

Leverages historical performance data to illustrate trends and patterns in skill gaps. By predicting emerging weaknesses before they widen, users can proactively adjust learning plans and strategic initiatives, ensuring long-term workforce competency.

Requirements

Data Aggregation Engine

"As a tech HR manager, I want to access a unified set of historical performance data so that I can accurately identify trends and make informed decisions for workforce development."

Description

This requirement involves building an engine to collect, clean, and aggregate historical performance data from various sources. The functionality is designed to integrate seamlessly with existing data pipelines in the SkillSavvy ecosystem, ensuring that the Trend Analyzer has reliable and comprehensive information. This process enables the accurate identification of trends and patterns in skill gaps, ultimately allowing proactive adjustments in learning plans and strategic HR initiatives.

Acceptance Criteria

Successful Data Collection

Given multiple data sources, when the aggregation engine is executed, then it must successfully collect and store data from all sources within the expected time frame, ensuring data completeness.

Effective Data Cleaning

Given raw performance data, when processed, then the engine must remove duplicates, correct formatting errors, and filter out invalid entries, ensuring clean data ready for aggregation.

Accurate Data Aggregation

Given cleaned data, when aggregated, then the engine must accurately compute metrics such as sums, averages, and trends, complying with predefined aggregation rules.

Pipeline Integration

Given integration with existing SkillSavvy pipelines, when the aggregation engine operates, then it must seamlessly exchange data with other modules without causing system disruption.

Real-time Performance

Given continuous data ingestion, when queried in real-time, then the engine must return aggregated results within acceptable response times as defined in system performance requirements.

Trend Visualization Dashboard

"As an employee, I want to view clear and interactive visual representations of skill gap trends so that I can adjust my learning plan proactively."

Description

This requirement focuses on developing an interactive dashboard that displays historical and predictive trends in skill gaps through dynamic charts, graphs, and data filters. It is intended to provide an intuitive user interface that seamlessly integrates with underlying data aggregation modules, offering real-time data visualization to empower users to quickly understand and react to evolving trends.

Acceptance Criteria

Interactive Dashboard Load Performance

Given the user accesses the Trend Visualization Dashboard, when dynamic charts and graphs render, then the dashboard must load within 3 seconds.

Real-Time Data Updates

Given continuous data feed from the aggregation modules, when new skill gap data is available, then the dashboard charts must update in real time within 5 seconds.

Dynamic Filtering Functionality

Given that users apply filters, when filter options are selected, then the dashboard must display updated trend visualizations that accurately reflect the filter criteria.

Historical Trend Analysis

Given the historical data integration, when users interact with the timeline control, then the dashboard must accurately show corresponding historical trends and patterns.

Predictive Trend Display

Given the integration of predictive analytics, when historical performance data is analyzed, then the dashboard must display forecasted skill gap trends with clear confidence indicators.

Predictive Alert System

"As a tech HR manager, I want to receive timely alerts about emerging skill gaps so that I can proactively adjust training and intervention strategies."

Description

This requirement entails implementing a robust alert mechanism that leverages trend analysis to predict emerging skill weaknesses before they widen. The system will monitor key performance indicators and trigger notifications to relevant stakeholders, ensuring that both tech HR managers and employees are alerted about potential areas that require immediate attention.

Acceptance Criteria

Real-Time Monitoring

Given the system is integrated with performance data sources, When data is received, Then the alert system must continuously update and reflect the current trend analysis in real-time.

Automated Alert Generation

Given an emerging skill gap is identified through trend analysis, When the gap exceeds predefined thresholds, Then the system must automatically trigger alert notifications to relevant stakeholders.

Stakeholder Notification and Escalation

Given an alert is triggered by the predictive system, When the alert is generated, Then HR managers and employees should receive clear notifications outlining the identified weakness and recommended actions.

Interactive Filter Controls

"As an employee, I want to filter trend data using various parameters so that I can focus on the information most relevant to my specific role and professional development needs."

Description

This requirement specifies the creation of customizable filter controls for the Trend Analyzer that allow users to refine data views based on variables such as time range, department, role, and skill category. By enabling personalization and detailed data segmentation, this functionality enhances the user's ability to derive meaningful insights, integrated closely with the visualization components.

Acceptance Criteria

Filtering by Time Range

Given valid historical performance data, when the user selects a specific time range in the filter control, then only the data corresponding to that time range is displayed.

Filtering by Department

Given the system has predefined departments, when the user selects a particular department in the filter control, then only data related to that department is shown.

Filtering by Employee Role

Given that employee roles are defined within the system, when the user selects a specific role in the filter control, then only data associated with that role is presented.

Multi-Variable Filtering

Given the user is able to set multiple filter criteria (time range, department, role, and skill category), when these filters are applied simultaneously, then the Trend Analyzer displays data that meets all selected conditions.

Integration with Visualization Components

Given that filter controls are integrated with the visualization components of the Trend Analyzer, when the filters are applied, then the visualizations update in real-time to reflect the filtered dataset.

Performance Comparison Module

"As a tech HR manager, I want to compare current performance with historical trends so that I can identify effective training strategies and optimize learning paths."

Description

This requirement introduces a module that supports the side-by-side comparison of current performance metrics against historical trends. It is designed to highlight both improvements and deteriorations in skill proficiency over time, and integrates with data aggregation and visualization tools to provide a comprehensive perspective that informs training strategy adjustments.

Acceptance Criteria

Side-by-Side Comparison View

Given that the user is on the Performance Comparison Module, when the user selects a current performance metric and a historical trend metric, then the module must display both metrics side-by-side with clear labeling.

Trend Analysis Accuracy

Given that historical data is available for a skill, when the module aggregates the data, then the visual representation must reflect a minimum 95% accuracy compared to the source database.

User Feedback Integration

Given that the user reviews the comparison charts, when the data indicates both improvements and deteriorations, then the module must clearly highlight the changes using distinct color coding for improvements (e.g., green) and deteriorations (e.g., red).

Interactive Drill Down Capability

Given that the user desires to investigate a specific performance metric in detail, when the user clicks on a data point in the chart, then the module must allow an interactive drill-down to display detailed historical analysis.

Real-Time Data Refresh

Given that new performance data is available, when the module receives updated data inputs, then the Performance Comparison Module must refresh the displayed metrics within a maximum delay of 5 minutes.

Team Insight Dashboard

Offers a centralized, customizable dashboard that aggregates and displays team-wide skill metrics. This tool provides a holistic view of both individual and collective weaknesses, facilitating informed decisions for group training programs and resource allocation.

Requirements

Real-time Data Aggregation

"As a tech HR manager, I want to view up-to-date skill metrics so that I can promptly identify training needs and enhance team performance."

Description

Integrates various data sources to automatically collect and aggregate team-wide skill metrics in near real-time. This functionality ensures that the dashboard reflects the most current performance data, enabling tech HR managers to make informed decisions quickly and adjust training programs based on live insights. It also supports seamless integration with existing HR and learning management systems.

Acceptance Criteria

Immediate Data Refresh after Integration

Given that various data sources are integrated, When a new data entry occurs in any source, Then the dashboard must update and display the new metric within 5 seconds.

Accurate Aggregation Across Multiple Systems

Given the collection of data from multiple systems, When aggregated, Then the dashboard must show consolidated metrics with an error margin below 2%.

Seamless Integration with Existing HR Systems

Given that the system is connected to pre-existing HR and LMS platforms, When data is imported, Then the dashboard must automatically map and display the respective data fields without manual adjustments.

Live Display of Team Skill Metrics

Given live input of team skill data, When new metrics are recorded, Then the dashboard should reflect these changes in near real-time (within 5 seconds latency).

Error Handling for Data Discrepancies

Given there is conflicting or missing data from any source, When discrepancies are detected, Then the system should log the error and send a notification to the system administrator.

Customizable Dashboard Layout

"As a tech HR manager, I want to customize my dashboard so that I can prioritize and display the metrics most relevant to my team."

Description

Provides a flexible and personalized dashboard environment where users can configure, rearrange, and resize widgets displaying various skill metrics. This feature enhances user engagement by allowing dashboard customization to fit individual preferences and team requirements, leading to a more focused and efficient data review process.

Acceptance Criteria

Widget Configuration Persistence

Given a user customizes the widget layout on their dashboard, when the page is refreshed or the user logs back in, then the layout remains intact as per the last saved configuration.

Responsive Layout Adjustments

Given a user resizes their browser window or switches devices, when the dashboard is rendered, then each widget adjusts its size and position to maintain readability and functionality.

Error-Free Widget Management

Given a user adds, moves, or removes widgets, when the action is executed, then the dashboard updates without errors and displays appropriate confirmation messages.

Customization Undo Feature

Given a user configures the dashboard layout, when the user selects to undo the changes, then the dashboard reverts to the previous configuration without data loss.

Drill-down Analytic Capability

"As a team lead, I want to drill down from summary data to individual performance details so that I can identify and address specific skill gaps effectively."

Description

Enables users to click on aggregated metrics to access detailed breakdowns at the individual level. This capability supports in-depth analysis of skill competencies, highlights specific areas for improvement, and facilitates targeted interventions by drilling down into the underlying data.

Acceptance Criteria

Drill Down Access

Given the aggregated metric is displayed on the dashboard, when a user clicks on a specific metric, then the system should display a detailed individual breakdown including relevant skill scores and metrics.

Detailed Breakdown Accuracy

Given a drill-down is triggered, when the detailed breakdown is shown, then the data displayed must match the individual records from the system database with at least 99% accuracy.

Interactive Filtering

Given the detailed breakdown view, when a user applies filters or sorting options, then the system should dynamically update the view to display the filtered and sorted data correctly.

User Feedback Integration

Given the drill-down analytic interface is active, when a user submits feedback regarding the accuracy or usability of the breakdown, then the system should capture and log the feedback for further analysis.

Predictive Gap Analysis

"As a tech HR manager, I want predictive insights on future skill gaps so that I can proactively plan training initiatives to address upcoming challenges."

Description

Utilizes AI-driven analytics to forecast future skill gaps by analyzing historical and current data trends. This innovative feature provides proactive alerts and insights, enabling pre-emptive adjustments in training strategies and resource allocation to mitigate potential skill deficiencies.

Acceptance Criteria

Forecasting Skill Gaps

Given that historical and current skill data is available, when the analysis is run, then the system shall accurately forecast future skill gaps with at least 85% accuracy.

Real-time AI Analytics

Given new skill data input, when the data is processed, then the system shall promptly update predictions in real-time without manual intervention.

Proactive Alert System

Given an impending skill gap identified by the predictive analysis, when the threshold is met, then the system shall trigger an alert to the HR manager with recommended actions.

Resource Allocation Insights

Given forecasted skill gaps across team units, when the aggregated data is displayed on the dashboard, then the system shall provide tailored insights for training resource allocation.

User Access and Security Controls

"As an IT administrator, I want to enforce secure access controls so that team data is protected and only accessible to authorized users."

Description

Implements robust authentication and role-based authorization mechanisms to secure the dashboard and its sensitive data. This feature ensures that only authorized personnel can access specific information, maintaining data integrity and compliance with privacy regulations while supporting the overall security framework of SkillSavvy.

Acceptance Criteria

User Login and Authentication

Given a registered user with valid credentials, when they attempt to log in, then the system should authenticate the user and grant access to the Team Insight Dashboard.

Role-Based Access Control Verification

Given a user with a specific role, when accessing the dashboard's sensitive data, then the system should allow or restrict access based on the user's authorization level.

Session Timeout Enforcement

Given an active dashboard session, when the user is inactive for the predefined timeout period, then the system should automatically log the user out and require re-authentication.

Audit Logging for Unauthorized Access Attempts

Given any unauthorized access attempt, when such an event occurs, then the system should log the attempt details and notify administrators about potential security breaches.

Gap Action Planner

Automatically generates targeted remedial actions and customized course recommendations based on identified skill deficits. This feature bridges the gap from insight to action, enabling users to immediately address weaknesses through tailored learning pathways.

Requirements

Automated Skill Deficit Analysis

"As an HR manager, I want the system to automatically analyze employee skills so that I can quickly and accurately identify areas for improvement."

Description

This requirement automates the analysis of employee skill profiles using AI-driven algorithms to identify skill deficits in real time. It improves accuracy in detection and saves HR managers significant manual effort, ensuring that every call-to-action is data-driven and timely integrated within the SkillSavvy ecosystem.

Acceptance Criteria

Real-Time Analysis Execution

Given an employee profile update, when the AI-driven analysis runs, then any new skill deficit is identified in real time with an accuracy threshold of at least 95%.

Accuracy of Skill Deficit Identification

Given a set of employee skill profiles, when the analysis is executed, then the algorithm accurately identifies skill deficits with a minimum precision of 90% as validated by a benchmark test.

Automated Remedial Action Generation

Given an identified skill deficit, when the system generates remedial actions, then the actions must directly correspond to tailored learning pathways predefined for the gap outlined.

Integration with Gap Action Planner Dashboard

Given the analysis is complete, when HR managers access the Gap Action Planner dashboard, then the identified skill deficits and corresponding remedial actions must be displayed within 2 seconds of the request.

User Notification of Skill Deficit Analysis

Given an employee with newly identified skill deficits, when the analysis concludes, then the system must notify both the employee and the HR manager with actionable insights within 5 minutes.

Tailored Remedial Action Generation

"As a tech employee, I want to receive a personalized remedial action plan so that I can effectively address my skill gaps and improve my performance."

Description

This requirement generates personalized remedial action plans based on identified skill gaps, incorporating customized course recommendations and actionable steps. By leveraging AI insights, it ensures that users receive targeted advice to overcome their weaknesses, ultimately enhancing their professional growth and skill proficiency.

Acceptance Criteria

Course Recommendation Accuracy

Given a user with defined skill gaps, when the system generates a remedial action plan, then the course recommendations must precisely target the identified deficits.

Remedial Action Timeliness

Given a newly detected skill gap, when the system processes the data, then the remedial action plan and customized course recommendations must be generated within 3 seconds.

Actionable Steps Insight

Given a user’s learning history and current skill deficits, when an action plan is generated, then the plan must include clear and specific actionable steps for improvement.

User Engagement Enhancement

Given the activation of a remedial action plan, when users engage with the recommended courses, then user engagement on the platform should increase measurably by at least 60%.

Skill Proficiency Improvement

Given users following the tailored remedial action plan, when their learning progress is assessed, then their skill proficiency should improve by at least 40% compared to baseline.

Real-Time Course Recommendation Engine

"As an employee, I want to receive real-time tailored course suggestions so that I can begin remediation immediately upon identifying my skill gaps."

Description

This requirement implements a dynamic recommendation engine that leverages AI to offer immediate and relevant course suggestions based on real-time analysis of individual skill deficits. It aims to reduce the time lag between gap identification and remediation, ensuring continuous and tailored learning pathways.

Acceptance Criteria

Real-Time Analysis and Recommendation

Given a user's continuously updated skill profile, when the system identifies a new skill gap, then it must instantly generate and display three relevant course recommendations within the course recommendation engine.

Tailored Learning Path for Immediate Remediation

Given detected skill deficiencies, when a user views their learning dashboard, then the system must display a personalized list of remedial courses that directly address those specific gaps.

Seamless Integration with Gap Action Planner

Given integration with the Gap Action Planner, when a skill gap is identified, then the recommendation engine must automatically trigger targeted remedial actions by providing course suggestions that align with the recommended action plan.

Performance and Response Time Validation

Given a high volume of concurrent user interactions, when a skill analysis is performed, then the system must process and display course recommendations within 2 seconds for at least 95% of all requests.

Action Plan Tracking Dashboard

"As an HR manager, I want a dashboard to track action plan progress so that I can monitor the effectiveness of remediation efforts across the organization."

Description

This requirement includes the development of an interactive dashboard that allows users to monitor the progress of their remedial actions and course completions. It integrates performance metrics and visual analytics, providing HR managers with an at-a-glance view of overall learning progress and effectiveness of the Gap Action Planner.

Acceptance Criteria

Real-Time Progress Updates

Given the Action Plan Tracking Dashboard is accessed, when a user views the dashboard, then the system must display real-time progress updates on remedial actions and course completions with a data refresh interval of no more than 5 minutes.

Dynamic Data Filtering

Given the dashboard displays a list of remedial actions and courses, when a user applies filters or search parameters, then the system must instantly update the visual analytics and data metrics to reflect the filtered results within 2 seconds.

Visual Analytics and Metric Overview

Given the dashboard includes performance metrics and visual analytics, when a user selects a specific course or remedial action, then detailed graphs and metrics must be shown with clear legends and descriptions to easily assess progress and effectiveness.

Milestone Notification and Alerts

Given a user completes a remedial action or course, when the action is successfully logged, then the dashboard must trigger a notification alert to the user and update the overall progress metrics accordingly, ensuring feedback is provided within 1 minute.

HR Manager Overview Snapshot

Given the dashboard caters to HR managers, when HR managers access their dashboard, then they must see an at-a-glance summary view of all team members' progress, remedial actions, and key performance indicators, presented in an easy-to-interpret visual format.

HR System Integration

"As an HR administrator, I want the Gap Action Planner to integrate with our existing HR systems so that I can streamline data management and enhance our overall learning analytics."

Description

This requirement focuses on the seamless integration of the Gap Action Planner with existing HR systems and learning management platforms. It ensures that employee data and course progress are synchronized across systems, providing a unified view and maintaining workflow efficiency within the SkillSavvy ecosystem.

Acceptance Criteria

Employee Data Sync on Login

Given a tech professional logs in through the integrated HR system, when the system validates the login credentials, then the employee's profile data must be synchronized in real-time with the SkillSavvy ecosystem.

Real-Time Course Progress Update

Given a user is enrolled in an ongoing course, when the user marks a lesson as complete, then the course progress must be updated within 5 seconds on both the HR system and the learning management platform.

Error Handling and Notification

Given a synchronization failure occurs between the HR system and the SkillSavvy platform, when an error is detected, then an appropriate error notification must be displayed to the user and logged for further investigation.

Secure Data Transfer Compliance Check

Given sensitive employee data is transmitted between systems, when the data is in transit, then it must be encrypted and meet all company data compliance and security standards.

Automated Data Reconciliation

Given that employee data and course progress data are stored in multiple systems, when a reconciliation process runs, then discrepancies must be identified, reported, and automatically corrected within a defined threshold.

Progress Tracker

Tracks and visualizes the closure of skill gaps over time, giving a clear picture of improvement and areas that still require attention. This continuous feedback mechanism motivates learners by celebrating milestones and guiding strategic adjustments in training.

Requirements

Visual Milestone Display

"As a tech professional, I want to see visual milestones so that I understand my learning progress at a glance and stay motivated by celebrating achievements in my career development."

Description

Display key learning milestones on the progress tracker, visually representing skill gap closures over time. This includes progress bars, milestone markers, and color-coded indicators to reflect the completion of training phases and skill achievements, integrated with the user profile. It allows learners to quickly gauge their progress and celebrates exisiting milestones, thereby boosting motivation and engagement.

Acceptance Criteria

Milestone Completion on Progress Tracker

Given a user completes a training phase, when the progress tracker updates, then a milestone marker is displayed at the appropriate position with a distinct color indicator.

Accurate Skill Gap Visualization

Given available user skill data, when the progress tracker renders, then color-coded indicators accurately represent closed and remaining skill gaps as defined by the system.

Integration With User Profile

Given a logged-in user, when accessing their profile, then the visual milestone display should be integrated seamlessly, allowing navigation to detailed milestone analytics.

Responsive Visual Display

Given the visual display is accessed from various devices, when rendering the progress tracker, then the layout must be responsive and adjust correctly for mobile, tablet, and desktop screens.

Real-Time Progress Updates

Given a user completes a learning module, when the module is completed, then the progress tracker should update in real-time without requiring a page refresh.

Real-time Progress Analytics

"As an HR manager, I want real-time progress updates so that I can make timely interventions and optimize educational pathways when skill gaps are not closing as expected."

Description

Implement real-time analytics features that continuously track and visualize the closure of skill gaps and progress trends over time. By integrating data from learning activities, assessments, and course completions, this feature will provide up-to-date performance metrics and graphical insights. This enables both learners and HR managers to identify improvement areas proactively and make strategic adjustments to training programs.

Acceptance Criteria

Dynamic Data Integration

Given that the system collects data from learning activities, assessments, and course completions, when a new data point is recorded, then the progress tracker automatically updates the analytics dashboard within 5 seconds.

Graphical Representation Accuracy

Given that skill gap closures are computed, when a user views the dashboard, then the generated graphs must accurately reflect the data from the past 24 hours with less than 2% margin of error.

Milestones and Progress Alerts

Given that users reach designated learning milestones, when a milestone is achieved, then the system immediately triggers a real-time alert and updates the graphical insights to highlight the accomplishment.

User-specific Analytics Filtering

Given that a user is logged in, when they apply filters such as date range or specific course categories, then the dashboard must refresh and display analytics specific to the selected parameters within 3 seconds.

Data Consistency Over Sessions

Given that a user closes and reopens the application, when they navigate back to the progress analytics feature, then the displayed data should remain consistent and reflect any updates made during the offline period.

Interactive Training Feedback

"As a learner, I want to receive personalized feedback on my progress so that I can quickly identify areas needing improvement and refine my learning strategy accordingly."

Description

Develop an interactive feedback system within the progress tracker that provides regular insights, personalized tips, and recommendations based on individual performance. Leveraging AI-driven analysis, this system will offer actionable feedback to help learners address areas of improvement and adjust their learning paths dynamically, thereby enhancing overall effectiveness and engagement.

Acceptance Criteria

Personalized Feedback Dashboard

Given a user navigates to their progress tracker, when their profile loads, then the interactive feedback system displays personalized insights, performance metrics, and actionable AI-driven recommendations.

Real-Time Feedback During Training

Given a learner is engaged in an interactive training session, when they complete a module, then immediate and data-driven feedback, including performance tips and next-step recommendations, is provided.

Milestone Achievement Celebration

Given a user reaches a defined learning milestone, when the milestone is achieved, then a celebratory notification is triggered along with tailored feedback that acknowledges the achievement and suggests further developmental steps.

Adaptive Learning Path Adjustment

Given a user's performance analysis indicates existing skill gaps, when new performance data is processed, then the system dynamically updates the learning path with personalized tips and recommendations to address the detected gaps.

Milestone Celebration Notifications

"As a learner, I want to receive celebration notifications for reaching milestones so that I feel recognized and stay motivated to continue advancing my skills."

Description

Create a notification system that alerts users when significant learning milestones are reached. These notifications, delivered via app or email, are designed to recognize and celebrate accomplishments, while also encouraging learners with suggestions for upcoming goals. The notifications are integrated with the progress tracker and user profiles to ensure a seamless user experience.

Acceptance Criteria

Milestone Achievement Notification via App

Given a learner reaches a significant learning milestone on the progress tracker, when the system identifies the milestone, then an in-app notification should be triggered with a congratulatory message and a suggestion for next steps.

Milestone Achievement Notification via Email

Given a learner reaches a milestone and has email notifications enabled, when the milestone is achieved, then an email notification should be sent containing a celebration message and upcoming goal recommendations.

User Profile Integration for Notification History

Given the notifications system is integrated with user profiles, when a milestone is reached, then the notification should be recorded in the user's profile notification history with a timestamp and milestone details.

Notification Trigger Consistency with Progress Tracker

Given the integration between the progress tracker and the notification system, when a learning milestone update occurs, then a corresponding notification should be triggered within one minute of the update.

User Dismissal and Acknowledgment of Notification

Given a notification is received by the user, when the user dismisses or acknowledges the notification, then the system should mark the notification as read and remove it from the active notifications list.

Downloadable Progress Reports

"As a tech HR manager, I want to download progress reports so that I can review learning performance, verify milestone achievements, and plan strategic training interventions effectively."

Description

Enable a feature that allows users to download detailed progress reports outlining their learning milestones, skill gap closures, and overall improvement trends. The reports, exportable in formats such as PDF and CSV, provide a comprehensive overview of progress and serve as a valuable tool for performance reviews and strategic planning by both learners and HR managers.

Acceptance Criteria

User Initiated Download

Given the user is logged in and on the progress tracker page, when the user clicks the download button, then a progress report in PDF format should be generated with the latest data.

Multi-Format Export

Given the user is on the report download interface, when the user selects the CSV export option, then the system should generate and download the report in CSV format containing all recent progress data.

Data Accuracy Verification

Given the progress tracker is updated, when a user downloads the report, then the downloaded report must accurately reflect all displayed learning milestones, skill gap closures, and improvement trends.

User Validation Experience

Given the user has completed a training session, when they download and open the report, then the report should present clear headers and sections, making performance review straightforward.

Download Error Handling

Given there is a network issue during the download process, when the download fails, then the system should display a clear error message and offer an option to retry.

TrendPulse

Harness real-time predictive analytics to capture the latest emerging tech trends. TrendPulse scans industry data continuously, alerting HR managers and tech professionals to shifts in the market. It ensures you stay ahead by refining learning paths as new trends emerge, keeping your skills and strategies always aligned with the future.

Requirements

Real-Time Industry Scan

"As a tech HR manager, I want to receive real-time updates on emerging technology trends so that I can proactively adjust training programs and stay ahead of industry shifts."

Description

Implement a real-time scanning system to continuously monitor and capture emerging technology trends from reliable sources including tech news, social media, and market analytics. This requirement focuses on integrating comprehensive, predictive analytic capabilities within TrendPulse, offering detailed trend analysis and an alert interface for tech HR managers and professionals. The system should ensure high performance, efficiency, and usability by delivering timely updates that empower proactive decision-making in workforce learning strategies.

Acceptance Criteria

Real-Time Data Capture

Given the system monitors tech news, social media, and market analytics, when new trend data is detected, then the system updates the TrendPulse dashboard within 30 seconds with complete trend details.

Predictive Analytics Alert

Given the system performs continuous real-time analytics, when a significant emerging trend is identified, then an alert is dispatched to HR managers and tech professionals containing actionable insights.

User Interface Efficiency

Given a tech professional accesses the TrendPulse dashboard, when the real-time scan updates, then the interface displays the updated trend data within 2 seconds to ensure a seamless user experience.

Data Source Validation

Given the system integrates with external APIs for tech news, social media, and market analytics, when capturing data, then only verified and top-tier sources are used to ensure data reliability and accuracy.

Performance and Scalability

Given the system processes real-time scanning from multiple data sources simultaneously, when handling high-load scenarios, then the system must process and display the aggregated trend data within acceptable performance limits without degradation.

Personalized Alert System

"As a tech professional, I want to receive personalized alerts about tech trends so that I can promptly adjust my learning trajectory and stay competitive in the rapidly evolving tech landscape."

Description

Develop an alert mechanism that leverages real-time trend analytics to deliver notifications tailored to individual roles and skill profiles. This system will filter, prioritize, and customize alerts based on user preferences, current learning paths, and identified skill gaps, ensuring that both tech professionals and HR managers receive relevant information. The alerts should be seamlessly integrated into the TrendPulse dashboard, providing options for frequency adjustments and threshold controls.

Acceptance Criteria

Real-time Alert Triggering

Given that real-time data is being processed, When a significant trend deviation is detected for a user’s role, Then the system must trigger a notification within 5 seconds with relevant trend data.

Customized Alert Filtering

Given a set of industry and individual skill gap parameters, When alerts are generated, Then the system must filter out non-relevant notifications and display only those that precisely match the user’s role and skill needs.

User Preference Integration

Given that a user has set specific alert preferences (such as types of trends and skill focus), When the alert system processes new trend data, Then it should customize the content of alerts to reflect these preferences accurately.

Dashboard Integration

Given that the TrendPulse dashboard is active, When alerts are generated, Then they must be seamlessly integrated into the dashboard interface with clear labeling and visual cues for urgency.

Alert Frequency and Threshold Adjustment

Given that users can adjust frequency and threshold settings, When settings are updated, Then the alert system must honor these configurations and only issue notifications according to the new parameters.

Adaptive Learning Path Refinement

"As a tech HR manager, I want my team's learning paths to be automatically refined based on emerging tech trends so that our training programs remain current and effectively bridge skill gaps."

Description

Integrate dynamic adjustments to SkillSavvy's personalized learning paths based on the predictive analytics generated by TrendPulse. This feature will automatically analyze emerging trends and suggest curriculum updates, ensuring that learning paths remain relevant to evolving industry standards. It includes algorithmic assessments of trend relevance and urgency, thereby enabling continuous improvement of training modules and boosting overall professional development.

Acceptance Criteria

Trend Detection Activation

Given that TrendPulse identifies an emerging technology trend, when the new trend data is received by the system, then the learning paths must automatically be flagged for review and update with suggested relevant courses.

Algorithmic Assessment Validation

Given that the system processes new trend data, when algorithmic assessments are executed, then each trend must be classified by relevance and urgency using predefined thresholds (e.g., high, medium, low).

User Notification of Curriculum Update

Given that the learning path has been dynamically refined, when the update is completed, then HR managers and tech professionals should receive an automated notification containing a summary of curriculum changes and recommendations.

Automated Revision Roll-back

Given that the system applies an automated update to the learning path, when a critical error or issue is detected post-update, then the system must trigger an automated roll-back to the previous version within a predefined timeframe.

Data Integrity and Logging

Given that every update to the learning path is executed, when the change is applied, then the system must log detailed records of the update (including trend data source, processing criteria, and change details) for audit and review purposes.

SkillForecast

Anticipate future skill requirements before they become mainstream. SkillForecast leverages advanced analytics to predict emerging competencies and advises tailored course recommendations. This proactive feature empowers users to continuously update their expertise and remain competitively future-ready.

Requirements

Predictive Analytics Integration

"As a tech HR manager, I want to receive predictive insights on upcoming skills so that I can plan training initiatives and keep my team ahead of industry trends."

Description

Implement predictive analytics algorithms that analyze historical enrollment data, industry trends, and user progress to forecast emerging skills and inform proactive learning recommendations.

Acceptance Criteria

Real-Time Data Processing

Given historical enrollment data, when the system ingests new user progress and current industry trends, then the predictive analytics algorithm should update the emerging skills forecast within 5 seconds.

Accurate Emerging Skill Forecast

Given validated training data, when the analytics algorithm runs, then at least 90% of the forecasted skills must align with expert-verified industry trends.

Personalized Learning Recommendation

Given the predicted emerging skills data, when a tech HR manager views recommendations, then the system should display tailored course suggestions with accuracy improvements of at least 40% compared to baseline models.

Integration with SkillSavvy Platform

Given the integration of the predictive analytics engine with the SkillSavvy platform, when an employee logs in, then the updated course recommendations should be displayed without a performance lag exceeding 1 second.

User Feedback Loop for Continuous Improvement

Given user interactions with SkillForecast, when feedback is submitted regarding the relevance of recommendations, then the system should log and use this feedback to refine future forecast updates.

Tailored Course Recommendation Engine

"As a tech employee, I want personalized course suggestions based on predicted industry demands so that I can continuously update my skills and stay competitive."

Description

Develop a recommendation engine that leverages forecasted skill trends and individual profiles to dynamically suggest personalized courses and learning paths.

Acceptance Criteria

User Skill Profile Integration

Given a user logs in, when their profile data is analyzed, then course recommendations are generated by combining individual skill gaps with forecasted trends, ensuring a tailored list with clear relevance indicators.

Forecast Data Synchronization

Given forecasted skill data is received from SkillForecast, when the recommendation engine processes the data, then it must integrate the latest trends into the recommendation algorithm and update suggestions accordingly.

Real-Time Recommendation Updates

Given an update in user profile or forecast data, when the recommendation engine is triggered, then course recommendations must refresh within 5 seconds to reflect the most current information.

Personalized Learning Path Display

Given a user selects to view their learning path, when the system presents the recommended courses, then it must display a clear, structured path including prerequisites, progress indicators, and skill progression benchmarks.

Interactive Skill Gap Dashboard

"As a tech HR manager, I want a visual dashboard displaying forecasted skill gaps and trend data so that I can make informed decisions on resource allocation and learning strategies."

Description

Create an interactive dashboard that visualizes future skill gaps and trends along with current progress, enabling users to identify areas for improvement and track learning outcomes in real time.

Acceptance Criteria

Real-time Data Update

Given the dashboard is accessed by a logged in user; When real-time data on skill gaps and trends is updated; Then the dashboard displays these updates within 5 seconds.

Dynamic Filtering and Interaction

Given a variety of skill and time range filters; When a user selects filters to refine the dashboard data; Then the dashboard refreshes to accurately show the filtered data and trends instantly.

Responsive Visualization Layout

Given that the dashboard is accessed using different devices (desktop, tablet, mobile); When the user loads the dashboard on any device; Then the layout adjusts to provide optimal readability and usability across all devices.

Accurate Future Skill Gap Prediction Chart

Given the input from advanced analytics; When the dashboard renders future skill gap charts; Then the displayed charts reflect trends with a minimum accuracy of 90% compared to historical data patterns.

Interactive Learning Outcome Tracking

Given an authenticated user reviewing their skill progress; When they interact with dashboard elements such as charts and progress indicators; Then the system must update and display current learning outcomes and recommendations in real time.

FuturePath Predictor

Integrate future industry insights directly into learning journeys. FuturePath Predictor dynamically adjusts personalized learning pathways based on evolving trends, ensuring that both individuals and teams acquire the right skills ahead of time. It seamlessly bridges today's learning with tomorrow's job market demands.

Requirements

Trend Data API Integration

"As a tech HR manager, I want real-time trend data integrated into learning paths so that I can ensure training content is aligned with industry shifts."

Description

Integrate dynamic industry trend data via external APIs to enable real-time updates to learning paths. This feature will enable FuturePath Predictor to automatically adjust course recommendations based on emerging trends, ensuring content remains timely and relevant to future job market demands. Seamless integration with existing SkillSavvy modules will provide a unified experience for tech HR managers and employees.

Acceptance Criteria

Real-Time Data Refresh

Given a connected API, when a new industry trend is published, then SkillSavvy’s course recommendations update automatically within 5 minutes.

Accurate Trend Mapping

Given accurate external API responses, when the system processes the data, then the mapping to corresponding learning paths meets predefined criteria.

Error Handling for API Failures

Given an API failure or timeout, when the system fails to fetch new data, then a relevant error message is displayed and the last known valid data is retained.

Unified User Experience

Given the integration with SkillSavvy modules, when the API data is refreshed, then the updated industry insights seamlessly appear across all modules without disrupting the user workflow.

Performance and Scalability

Given high concurrent API requests, when the system fetches data, then the response times remain within acceptable limits without performance degradation.

Dynamic Learning Path Adjustment

"As a tech employee, I want my learning path to be automatically adjusted based on real-time industry trends so that I can acquire skills that are most relevant to future job market needs."

Description

Develop an adaptive learning algorithm that recalculates personalized learning journeys based on the incoming industry trend data. The algorithm will analyze both individual progress and evolving market demands, and adjust the course recommendations dynamically to bridge current gaps and prepare for future skill requirements, ensuring efficient learning outcomes and career growth.

Acceptance Criteria

Real-time Industry Trend Incorporation

Given an active learning session, when new industry trend data is received, then the adaptive algorithm should recalculate and adjust the learning path within 2 minutes.

Individual Progress Analysis

Given a user's current learning progress data, when the algorithm is triggered, then it should analyze progress and update course recommendations to address skill gaps.

Seamless Future Skill Preparation

Given that future market demands are identified, when individual learning preferences are processed, then the system should integrate future skill insights without disrupting ongoing learning sessions.

Error Handling on Trend Data Unavailability

Given that incoming trend data is unavailable or invalid, when the system attempts to adjust learning paths, then it should default to historical trend analysis and display an alert message to the user.

Predictive Skill Demand Analysis

"As a tech HR manager, I want predictive insights on future skill demand so that I can plan and design training programs that address upcoming needs."

Description

Implement a predictive analytics module that forecasts future skill requirements by analyzing historical trends and market intelligence. This module will empower organizations to proactively prepare their workforce for emerging roles, ensuring training programs keep pace with the anticipated evolution of job roles and technologies. It will integrate with the existing analytics dashboard to provide comprehensive insights.

Acceptance Criteria

Historical Data Processing

Given historical trends data is available, When the system processes the data, Then the module must accurately extract and analyze predictive indicators with at least 95% accuracy.

Market Intelligence Integration

Given access to market intelligence feeds, When the system integrates these feeds, Then it must update the predictive skill demand forecasts in real time with data refresh intervals not exceeding 1 hour.

Analytics Dashboard Integration

Given the predictive analytics module is operational, When a user accesses the integrated analytics dashboard, Then the forecasting data must be displayed seamlessly with interactive charts and is fully refreshable.

Predictive Insights Accuracy

Given the prediction algorithm processing historical and market data, When forecasts are generated, Then the system should achieve a prediction error margin of less than 10% compared to observed market trends.

User Notification and Alerts

Given that significant changes in forecasted skill demands are detected, When the system identifies emerging trends, Then HR managers should receive automated alerts with actionable recommendations via email and dashboard notifications.

User Feedback Integration

"As a tech employee, I want to provide feedback on my learning path so that the system can be improved to better meet my career development needs."

Description

Develop an in-app feedback feature that allows users to rate and comment on the relevance and efficacy of their personalized learning paths. This information will be collected and analyzed to refine and optimize both the FuturePath Predictor’s algorithms and course content recommendations, enhancing overall user satisfaction and learning outcomes.

Acceptance Criteria

Submit User Feedback

Given a personalized learning path, when a user accesses the in-app feedback and submits a rating and comment on the relevance and efficacy of the path, then the feedback should be recorded in the system and associated with the user’s profile.

View Feedback History

Given a logged-in user, when they navigate to the feedback history section, then they should see a chronological list of all previously submitted ratings and comments that reflect their past interactions with personalized learning paths.

Analyze Feedback for FuturePath Predictor Optimization

Given collected user feedback data, when the system processes and analyzes the data, then insights should be generated that indicate trends, highlight training gaps, and suggest updates to FuturePath Predictor algorithms and course recommendations.

AI Transparency Dashboard

"As a tech HR manager, I want a transparent view of the AI decision-making process so that I can confidently manage and adjust learning pathways."

Description

Create an interactive dashboard that displays the data sources, decision criteria, and future predictions underlying the FuturePath Predictor’s recommendations. This tool will improve user trust by offering clarity on how personalized learning paths are devised, and will allow administrators to audit and refine the AI algorithms for better performance and compliance with best practices.

Acceptance Criteria

Dashboard Data Source Overview

Given the AI Transparency Dashboard is accessed, when the user selects the 'Data Sources' tab, then the system shall display all integrated data sources with updated timestamps and validation based on AI input logs.

AI Decision Criteria Breakdown

Given a logged in administrator navigates to the dashboard, when they click on a recommendation, then the system should display the decision criteria that drove the recommendation with detailed metrics and weightings.

Future Predictions Insight

Given the user accesses the FuturePath Predictor section of the dashboard, when the user selects a sample recommendation, then the system should display future industry predictions and their correlations with current learning paths to validate forecast accuracy.

Audit and Compliance Logging

Given an admin performs an audit on the AI algorithms, when they request audit logs within the dashboard, then the system should generate a detailed report of historical usage, algorithmic changes, including data modification timestamps and identifying responsible parties.

Insight Navigator

Visualize and explore real-time industry trends with an interactive dashboard. Insight Navigator translates complex market analytics into user-friendly insights, linking external tech trends with your current learning trajectories. This feature helps you make informed decisions, plan strategic upskilling, and optimize your professional growth.

Requirements

Real-time Data Integration

"As a tech HR manager, I want real-time access to industry trends so that I can make informed, timely decisions based on the most current data available."

Description

Integrate real-time data feeds from various industry sources to ensure that the Insight Navigator accurately reflects the latest market trends and analytics. This integration will continuously update the dashboard with current metrics, enabling informed decision-making by aligning external tech trends with SkillSavvy’s learning trajectories.

Acceptance Criteria

Real-time Dashboard Refresh

Given that real-time industry data feeds are available, when a new data feed entry is received, then the Insight Navigator dashboard must update within 60 seconds to reflect the change.

Data Accuracy Verification

Given that data is sourced from multiple industry feeds, when data integration occurs, then all incoming data should be standardized and validated with an accuracy rate of at least 99%.

Error Handling during Data Integration

Given that one or more data sources encounter an error, when data integration fails for a specific feed, then the system should log the error and display a non-intrusive warning to the user without interrupting overall dashboard functionality.

Interactive Dashboard UI

"As a tech employee, I want a visually engaging and interactive dashboard so that I can easily analyze and interpret real-time market data."

Description

Develop an interactive and user-friendly dashboard that visualizes complex market analytics through dynamic graphs, charts, and customizable filters. This requirement focuses on providing an intuitive interface to help users explore and drill down into data, thereby enhancing the overall experience and usability of the Insight Navigator.

Acceptance Criteria

Interactive Data Drill Down

Given the interactive dashboard is loaded, when a user clicks on a data point on any graph, then a detailed drill down view with relevant analytics is displayed in real-time.

Customizable Filters and Sorting

Given the dashboard displays visual analytics, when a user applies filters or sorting options, then the dashboard updates dynamically to reflect the new data views and provides an option to reset to defaults.

Responsive UI and Real-Time Updates

Given the dashboard is accessed on various devices, when a user resizes the window or accesses the dashboard on a mobile device, then the layout adjusts responsively and maintains real-time data update functionality.

Learning Trajectory Alignment

"As a tech HR manager, I want to see a clear alignment between current industry trends and our employees' learning paths so that I can optimize training programs and address skill deficiencies effectively."

Description

Align real-time industry trends with users' existing learning trajectories to offer tailored course recommendations. This requirement ensures that the Insight Navigator smartly integrates external market trends with internal progress data, providing personalized insights that bridge skill gaps and enhance professional development paths.

Acceptance Criteria

Real-Time Data Integration

Given the system is connected to the external market trends API, when new industry trend data is received, then the user's learning trajectory should be updated in real time according to the latest trends.

Personalized Recommendation

Given a user's current learning trajectory and identified skill gaps, when external industry trends are matched, then the system should generate tailored course recommendations that directly address those gaps.

User Interface Responsiveness

Given the Insight Navigator dashboard is in use, when data refresh is triggered, then the updated trend data must be displayed within 2 seconds without disrupting user interaction.

Accuracy of Learning Alignment

Given internal learning progress data and external market trends, when the system processes and aligns both data sets, then the alignment accuracy should achieve at least a 95% correctness rate based on performance metrics.

Customizable Alert System

"As a tech employee, I want to receive customized alerts on market shifts so that I can quickly adapt my learning and upskilling strategies in response to the latest trends."

Description

Implement a customizable alert system that notifies users of significant changes in industry trends and other critical data points within the Insight Navigator. This feature will enable proactive responses by allowing users to set personalized thresholds and receive timely alerts, thereby supporting continuous professional development and immediate adjustments to learning plans.

Acceptance Criteria

Threshold Customization

Given that the user accesses the alert system settings on Insight Navigator, when they input and save a custom threshold for an industry trend indicator, then the system should store this threshold and trigger alerts only when the indicator crosses this value.

Timely Alert Notification

Given that a significant change in industry trends occurs that meets the user’s custom criteria, when the event is detected, then the system should send a real-time alert notification via the user’s preferred communication channel.

User Alert Customization Options

Given that the user is configuring alert settings, when they select multiple alert types (such as email, SMS, or in-dashboard notifications), then the system should allow these configurations and deliver alerts accordingly.

Alert Data Accuracy Verification

Given that the system monitors industry trends continuously, when a trend change triggering an alert is detected, then the alert should include accurate trend metrics, a timestamp, and details for verification.

Alert Frequency Control

Given that the user may want to limit notifications, when they configure their alert preferences, then the system should allow setting a maximum frequency of alerts to prevent over-notification.

Product Details

Vision & Mission

Problem & Solution

Details & Audience

User Personas

Tech Trailblazer Tom

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Skill Seeker Sally

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Career Catalyst Cathy

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Product Features

AI Skill Audit

Requirements

Automated Skill Assessment

Description

Acceptance Criteria

Personalized Learning Path Generator

Description

Acceptance Criteria

Real-time Skill Feedback

Description

Acceptance Criteria

Integration with Talent Management System

Description

Acceptance Criteria

Personalized Course Map

Requirements

Dynamic Skill Assessment Integration

Description

Acceptance Criteria

Adaptive Learning Path Generator

Description

Acceptance Criteria

Interactive Course Map UI

Description

Acceptance Criteria

Career Goal Alignment Module

Description

Acceptance Criteria

Engagement Insights

Requirements

Real-Time Analytics Dashboard

Description

Acceptance Criteria

Automated Alert System

Description

Acceptance Criteria

Detailed Progress Reports

Description

Acceptance Criteria

Customizable Metrics Configuration

Description

Acceptance Criteria

Feedback Integration Module

Description

Acceptance Criteria

Milestone Mapper

Requirements

Interactive Map Renderer

Description

Acceptance Criteria

Milestone Detail Pop-ups

Description