Software Project Estimation & Agile Metrics
Forecast like a data-driven agile team: velocity ranges, sprint capacity, release dates, burndown charts, cycle time, Little's law, WSJF, confidence buffers and cost per story point in 8 hands-on labs.
The first lesson is free — no account needed.
About this course
An agile estimation course for teams and project leads who want forecasts based on data instead of gut feeling. Using one software team's history, you turn story points into an average velocity and a range, calculate sprint capacity from people, days and a focus factor, forecast a release date for the best, expected and worst case, build burndown and burnup data, measure cycle time and throughput with Little's law, rank features by WSJF, add a 90% confidence buffer to three-point estimates and put a dollar figure on a story point. The first lab is free.
Lessons
- Story Points & Velocity: Average and RangeFree
- Sprint Capacity: People × Days × Focus Factor Pro
- Release Forecast: Sprints Left, Best & Worst Case Pro
- Burndown & Burnup: Track a Sprint Day by Day Pro
- Cycle Time, Throughput & Little's Law Pro
- WSJF Prioritisation: Cost of Delay ÷ Job Size Pro
- Three-Point Estimates & a Confidence Buffer Pro
- Team Cost per Sprint & Cost per Story Point Pro