A comprehensive dashboard for visualizing Jira performance metrics, team productivity, and project status.
- Executive Summary: At-a-glance overview of key performance metrics and insights
- Interactive Visualizations: Dynamic charts showing issue status, type distribution, and trends
- Workflow Analysis: Identify bottlenecks and efficiency challenges in your team's workflow
- Ticket Analysis: Filter and search through tickets with detailed metrics
- Performance Reports: Generate comprehensive reports for managers and stakeholders
- Export Functionality: Export data and visualizations for further analysis or presentation
- Date Filtering: Analyze performance for specific time periods
- Team Member Performance: Track individual productivity and workload distribution
- Project Health: Monitor project status and completion rates
- A modern web browser (Chrome, Firefox, Safari, Edge)
- Jira exported CSV data in the required format
-
Export Jira Data:
- In Jira, go to Issues > Search for Issues
- Set up your filters to select the relevant issues
- Select "Export" > "CSV (All Fields)"
- Save the file as
Jira Export CSV (all fields).csv
in the dashboard directory
-
Launch the Dashboard:
- Open
index.html
in your web browser - The dashboard will automatically load and process the CSV data
- Open
The dashboard expects a CSV file with the following columns:
Summary
- Issue summaryIssue key
- Jira issue key (e.g., PROJ-123)Issue Type
- Type of issueStatus
- Current issue statusProject name
- Name of the projectResolution
- Resolution statusCreated
- Creation date/timeUpdated
- Last update date/timeResolved
- Resolution date/timeLog Work
- Work log data
The main dashboard page provides a high-level overview of performance with:
- Key performance indicators
- Issue status distribution
- Issue type breakdown
- Sprint velocity
- Priority analysis
- Team productivity
- Workflow efficiency metrics
The ticket analysis page allows you to:
- Filter tickets by status, type, priority, and date
- View trend charts showing creation vs resolution rates
- See cumulative flow diagrams of work in progress
- Browse and search through individual tickets
The reports page provides detailed analysis with:
- Performance analysis report
- Project health metrics
- Key efficiency metrics
- Recommendations for improvement
-
Create a new canvas element in the HTML:
<div class="chart-container"> <h3>Your Chart Title</h3> <canvas id="your-chart-id"></canvas> </div>
-
Add a new function in
dashboard.js
to create your chart:function updateYourChart() { const ctx = document.getElementById('your-chart-id').getContext('2d'); // Process your data const data = processYourData(); // Create the chart new Chart(ctx, { // Chart configuration }); }
-
Call your function in the
updateDashboard()
function.
If your Jira export uses different date formats, update the parseDate()
function in dashboard.js
to handle your format.
This performance dashboard demonstrates the following skills:
- JavaScript Programming: Complex data processing and visualization techniques
- Data Analysis: Extracting and presenting meaningful metrics from raw data
- UI/UX Design: Creating an intuitive and informative interface
- Problem Solving: Identifying bottlenecks and inefficiencies in workflows
- Technical Documentation: Comprehensive and clear documentation
The code is structured for maintainability with clear separation of concerns:
- Data loading and processing
- Metric calculation
- Visualization rendering
- User interaction handling
This project is open source and available for educational and professional use.
- Chart.js for visualization capabilities
- Marked.js for markdown rendering in the reports section