Free Sprint Velocity Calculator
Analyze velocity trends, detect anomalies, and forecast backlog completion with AI
Ready to Analyze Your Velocity?
Enter your sprint data and our AI will calculate averages, spot trends, flag anomalies, and forecast backlog completion.
Track and analyze your team's sprint velocity
Sprint velocity is the average number of story points a team completes per sprint. Most teams glance at the average, put it on a slide, and move on. But the average alone hides the interesting stuff: is the team getting faster? Slowing down? Wildly inconsistent from one sprint to the next?
This tool digs into your sprint data and pulls out what a spreadsheet would take you an hour to find. It calculates trends, flags the sprints that look unusual, measures how predictable your output is, and estimates how long the remaining backlog will take. Paste your numbers in and get the full picture.
What you get from analyzing velocity this way
Catch slow declines early
A 10% velocity drop per sprint is invisible when you're looking at one sprint at a time. Over five sprints, that's a 40% decline nobody noticed. Looking at the full dataset makes these gradual shifts obvious, whether the cause is tech debt piling up, scope creeping in, or people leaving.
Understand why velocity dropped, not just that it did
Seeing that Sprint 8 was 40% below average tells you nothing useful on its own. Cross-referencing that with your team context often points to a reason: maybe two people were on vacation, or the team started a migration nobody scoped well.
Answer "when will the backlog be done?"
Leadership will ask. If you answer with a gut feeling, you own whatever date you pick. If you answer with a velocity-based forecast and a confidence range, you have something grounded in actual data. It won't be perfect, but it's better than guessing.
See if process changes actually helped
You switched to mob programming last month. Did it help? Velocity trends over the following sprints will tell you more than a retro survey. Same goes for changing sprint length, adding code review steps, or onboarding new team members.
Getting the most out of velocity tracking
Velocity is a planning tool, not a performance metric. Keep that distinction clear:
1. Use at least 5-6 sprints of data
Three sprints of data is barely a pattern. Velocity jumps around naturally, and you need enough sprints to separate signal from noise. Five or six sprints gives you a baseline you can actually trust for planning.
2. Don't compare velocity across teams
Story points are relative to the team that estimated them. A team averaging 30 points is not faster than a team averaging 20. The numbers only mean something within the context of one team over time.
3. Investigate anomalies, don't punish them
A low-velocity sprint might mean the team spent the week paying down tech debt or handling production fires. Punishing low numbers teaches people to game them. The better response is to ask what happened and whether the team needs anything.
