Monitor Team Velocity → Generate Sprint Reports → Forecast Delivery Dates
Track development team performance across sprints and automatically generate executive-ready reports with accurate delivery forecasts.
Workflow Steps
Jira
Extract velocity and burndown data
Set up automated data export of story points completed, cycle times, and sprint burndown metrics using Jira's REST API
Google Sheets
Calculate performance metrics
Use formulas to calculate rolling average velocity, predictability scores, and identify trends in team performance over the last 6 sprints
ChatGPT API
Generate executive summary
Create natural language summaries of team performance, highlighting risks, improvements, and recommended actions based on the data trends
Notion
Create formatted report
Auto-populate a executive dashboard template with charts, forecasts, and recommendations for stakeholder review
Calendly
Schedule review meetings
Automatically schedule sprint review meetings with key stakeholders when velocity drops below threshold or major risks are identified
Workflow Flow
Step 1
Jira
Extract velocity and burndown data
Step 2
Google Sheets
Calculate performance metrics
Step 3
ChatGPT API
Generate executive summary
Step 4
Notion
Create formatted report
Step 5
Calendly
Schedule review meetings
Why This Works
Combines hard metrics with AI-generated insights to create compelling narratives that help executives understand both current performance and future risks
Best For
Product managers and engineering leads who need to provide regular performance updates to executives and predict delivery timelines
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