What is Sprint Velocity?
Work a team completes per sprint.
How to calculate it
Calculate Sprint Velocity as: Story points completed per sprint. Pull the inputs from your connected data and track the trend over time in your dashboard.
Examples
Example 1
The team completes 32, 28 and 34 points over three sprints -> plan ~31 points next sprint.
Example 2
Over three sprints the team completes 32, 28 and 34 points -> plan around 31 points next sprint rather than committing to a one-off high.
Why it matters
Sprint velocity is the amount of work a team completes per sprint and aids capacity planning and forecasting. Tracked over several sprints, it gives a realistic basis for committing to future work. Comparing velocity across teams is meaningless because point estimation is relative to each team.
Benchmark context
Use the rolling average of recent sprints as the planning baseline; there is no cross-team benchmark, only a team's own trend.
Common pitfalls
Comparing velocity across teams.
The complete guide
Understanding Sprint Velocity
Sprint velocity is the amount of work a team completes per sprint and aids capacity planning and forecasting. Tracked over several sprints, it gives a realistic basis for committing to future work. Comparing velocity across teams is meaningless because point estimation is relative to each team. For context, use the rolling average of recent sprints as the planning baseline; there is no cross-team benchmark, only a team's own trend. Treat an external benchmark as a reference point rather than a universal target: company stage, sector, customer mix, pricing model and measurement definitions can materially change what “good” looks like. Read Sprint Velocity alongside Cycle Time and Throughput; together these measures provide a more balanced view and reduce the risk of optimizing one number at the expense of the wider outcome.
Define every included record and value consistently, and reconcile the total to its source system before comparing periods. Use stable production boundaries and timestamp definitions, and distinguish planned work from incidents, rollbacks and failed deployments. Measure at service or team level and keep the start event, end event and production boundary stable; portfolio averages can hide a fragile component. A dashboard should show the current value, prior-period comparison and a trend rather than presenting one isolated reading.
Treat the metric as a prompt for system improvement: reduce batch size, automate safe delivery, strengthen observability, rehearse recovery and use blameless reviews to eliminate recurring failure modes. Common pitfalls: comparing velocity across teams. Record the definition beside the dashboard, review it when systems or processes change, and annotate unusual events so future readers can distinguish a genuine performance shift from a data or timing effect.
Sources and further reading
- Sprint velocity in Scrum
Atlassian Accessed
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