Definition: Scrum metrics are quantitative and qualitative measures a Scrum team uses to see how well it delivers: how much work it finishes in a Sprint, how long work takes, how often it meets the Sprint Goal, and how good the result is. Used well, they start a conversation in the Sprint Retrospective. Used badly, they become targets that people game.
TL;DR: The common Scrum metrics are velocity, burndown, sprint goal success rate, cycle and lead time, escaped defects, and team satisfaction. Track three or four, not twelve. Treat every number as a question to discuss, never a score to judge people by. Build a sprint metrics board free →
The Scrum Guide itself names no required metrics. It describes forecasting tools such as burn-downs and burn-ups and says that while they have proven useful, they do not replace the importance of empiricism. So metrics are a team's own instruments, chosen to answer a question the team actually has.
Why You Need Scrum Metrics?
Scrum metrics turn "it feels slow" into something a team can look at together. They are most useful for the reasons below.
- Tracking Progress: They show whether a Sprint and the wider release are on course.
- Improving Team Performance: They point to where work waits, so the team knows what to try next.
- Ensuring Quality Delivery: Measures such as escaped defects show whether speed is costing quality.
- Facilitating Decision Making: They give the Product Owner and team evidence for forecasts.
- Enhancing Transparency: Stakeholders can see progress without asking for a status meeting.
- Adapting to Changes: A trend over several Sprints shows whether a change helped.
Scrum Metric Examples
Each Scrum metric answers a different question. The table below shows the seven most used, in the order most teams adopt them.
| Metric | Question it answers | How it is measured |
|---|---|---|
| Velocity | How much can we finish in a Sprint? | Sum of story points for items fully done |
| Burndown chart | Are we on track to finish the Sprint? | Work remaining plotted against days left |
| Sprint goal success rate | How often do we meet the goal? | Percent of Sprints that met the Sprint Goal |
| Cycle time | How long does an item take once started? | Days from work begun to done |
| Lead time | How long from request to delivery? | Days from request to done |
| Escaped defects | Is quality holding? | Defects found after release |
| Team satisfaction | Is the pace sustainable? | A short survey each Sprint |
Velocity is team-specific. Story points from one team are not comparable to another's, so never use velocity to rank teams. See story points and velocity in Scrum. For the broader set across Agile methods, see Agile metrics.
How to Use Scrum Metrics
- Start with a question, such as "why do items finish late?", not with a dashboard.
- Choose one or two metrics. Three or four is a practical ceiling for a new team.
- Review trends, not single Sprints. One low velocity number means little. Six Sprints show a pattern.
- Pair speed with quality. Read velocity next to escaped defects and satisfaction.
- Change one thing at a time and compare after a few Sprints.
Worked Example
A team's velocity is steady at about 30 points, but their sprint goal success rate is 40 percent, and cycle time is rising. Velocity alone says the team is fine. The other two say work is being started but not finished. In the Retrospective they see too many items in progress at once, agree a limit of three, and watch cycle time and goal success for the next three Sprints.
Common Mistakes
- Using velocity as a target. Teams inflate estimates, and the number stops meaning anything.
- Comparing teams. Points are a private scale.
- Tracking everything. A wall of charts hides the one that matters.
- Judging individuals. Metrics describe the system, not a person.
- Measuring speed only. A team can ship quickly and still struggle with unclear stories or handoffs.
Scrum Metrics in 2026: Where AI Agents Fit
An AI agent can collect and summarize the numbers, but the team decides what they mean.
- Data gathering: an agent reads the sprint board and totals completed points, cycle times, and carried-over items.
- Retrospective summary: an agent drafts a one-page trend note ahead of the Retrospective for the team to correct.
- Question prompts: an agent can suggest what to ask when a trend changes, for example "cycle time rose while velocity held."
An agent reads only what is in the project, so a consistent board (status, points, dates) is what makes its summary reliable.
Connection to Taskade
In Taskade, the sprint board is a project, so its status, points, and dates are the Memory a metrics view is built from. A custom AI agent can read that project and draft the trend summary. An automation on a schedule can send it to your channel at the end of each Sprint. Taskade has 100+ bidirectional integrations for the tools your team already uses.
What You Would Build in Taskade
A sprint metrics dashboard: velocity and goal success by Sprint, cycle time per item, and a Retrospective summary written by an agent each Sprint.
Describe yours and build it free →
Related Terms/Concepts
- Velocity in Scrum: The most common Scrum metric and how to use it.
- Burndown Chart: Work remaining in the Sprint over time.
- Story Points: The relative unit velocity is measured in.
- Sprint Backlog: The items and plan the metrics describe.
- Sprint Retrospectives: Where the team reviews its metrics.
- Product Backlog: The ordered list the Sprint Backlog is drawn from.
- Agile Metrics: Metrics across Agile methods beyond Scrum.
Conclusion
Scrum metrics work when they are few, trended, and discussed in the open. Pick the question first, then the number.
Frequently Asked Questions About Scrum Metrics
What are the main Scrum metrics?
The most common are velocity, burndown, sprint goal success rate, cycle and lead time, escaped defects, and team satisfaction. None is required by the Scrum Guide, so choose the ones that answer your team's questions.
What are the metrics in Scrum used for?
They help a team forecast, spot where work waits, and check that quality holds. They feed the Sprint Retrospective and Sprint Review conversations.
How Often Should Scrum Metrics Be Reviewed?
Look at the burndown daily, and velocity, sprint goal success, and quality each Sprint in the Retrospective. Review longer trends monthly or quarterly.
What is a good velocity for a Scrum team?
There is no good number. Velocity depends on the team's own estimates, so the useful reading is whether it is stable and predictable over several Sprints.
Should Scrum metrics be used to evaluate individual performance?
No. They describe how the team's system performs. Using them to rank people encourages gaming and hides real problems.
What is the difference between cycle time and lead time?
Cycle time runs from when work starts until it is done. Lead time runs from the request until delivery, so it includes waiting before work begins.
Can Scrum Metrics Be Used in Non-Agile Environments?
Some can. Cycle time, lead time, and team satisfaction adapt to many kinds of project work. Velocity depends on Sprints and estimates.
Can an AI agent track Scrum metrics?
An agent can read your sprint board, total the numbers, and draft a trend summary. Your team still chooses the metrics and decides what to change.