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Agile Metrics Calculator

Cross-analyze velocity, throughput, cycle time, and lead time with a CV-based team health score. Visualize your team's performance from multiple perspectives.

Last updated:

How to Use

Expand how to use
  1. 1

    Enter sprint results

    Click 'Add Sprint' and enter velocity, throughput, cycle time, and lead time. You don't need to fill in all metrics.

  2. 2

    Check health score and statistics

    Review the team health score and statistics (average, median, std dev, CV) for each metric.

  3. 3

    Analyze trends with charts

    Switch between metrics to analyze performance trends using the trend chart.

Sprint Results

Showing sample data. Clear to enter your own data.

Team Health Score

Team health score: 85 points, Excellent

85

Excellent

Calculated from 4 metrics

Velocity Stability25/25
Throughput Stability20/25
Cycle Time Stability20/25
Lead Time Stability20/25

Velocity

Average

31.67 SP

Median

32 SP

Trend

Stable

Min

28

Max

35

CV

9.06%

Throughput

Average

8 items

Median

8 items

Trend

Stable

Min

7

Max

9

CV

10.25%

Cycle Time

Average

2.5 days

Median

2.5 days

Trend

Stable

Min

2

Max

3

CV

16.4%

Lead Time

Average

5.17 days

Median

5 days

Trend

Stable

Min

4.5

Max

6

CV

11.99%

Metric Trends

Metric Trends - Velocity
Sprint NameVelocity
Sprint 132
Sprint 228
Sprint 335

What is Agile Metrics Calculator?

Agile Metrics Calculator cross-analyzes four key Scrum team performance metrics — velocity (story points completed), throughput (items delivered), cycle time (development duration), and lead time (total time from request to delivery) — across multiple sprints. A coefficient of variation (CV)-based team health score provides an at-a-glance assessment of your team's performance stability: lower variance indicates more predictable delivery. Trend charts visualize how each metric evolves over time, helping you spot improvements or regressions. Enter data for as many sprints as needed, and the tool calculates averages, standard deviations, and trends automatically. Export results in CSV format for sharing with stakeholders.

Key Features

  • Manage and analyze 4 metrics simultaneously (velocity, throughput, cycle time, lead time)
  • CV-based team health score to visualize performance stability
  • Statistical display including average, median, std dev, and CV for each metric
  • Metric trend charts for trend analysis
  • CSV export to save and share data

Use Cases

  • Reviewing team performance across velocity, throughput, and cycle time during retrospectives
  • Going beyond velocity alone to assess flow efficiency and delivery predictability
  • Quantifying team stability with coefficient of variation to spot planning problems
  • Presenting a team health scorecard to engineering managers or stakeholders
  • Comparing trends across metrics to decide which area to focus on improving next sprint
  • Benchmarking delivery performance before and after a process change or team restructure

Frequently Asked Questions

How is the team health score calculated?

It's based on the coefficient of variation (CV = std dev / average × 100) for each metric. Lower CV means higher stability and a higher score. The score is scaled to 100 points based on the number of available metrics.

Do I need to enter all metrics?

No. You can analyze with just one metric. The health score automatically scales based on the number of available metrics.

What is the coefficient of variation (CV)?

CV is the standard deviation divided by the mean, indicating the degree of data variability. Lower CV means more stable data. It allows comparison of variability across metrics with different units.

Does having fewer data points affect the score?

Yes. To account for data reliability, scores are capped at 15 points for 1 sprint and 20 points for 2 sprints. A maximum of 25 points per metric is applied with 3 or more sprints.

Where is the data stored?

Data is only kept during your browser session. It resets on page reload, so please save your data using the CSV export feature.