Developer Productivity - Scrums.com Docs

Measure the system

Developer productivity describes how effectively your engineering system turns effort into valuable software. Scrums.com measures workflows and outcomes at the team level. It does not create individual leaderboards or developer scores.

Signals you can use

Signal	What it helps you find
Cycle time	Queues between first commit and production
Review wait	Pull requests waiting for attention
Throughput	Changes completed over time
Code churn	Rework after changes merge
Quality	Coverage, static-analysis, and security trends
Blocked work	Work stalled beyond an agreed threshold

These signals complement DORA metrics. DORA describes delivery throughput and stability. Workflow signals help you explain why those outcomes change.

Review productivity data

Connect the tools that hold your work and delivery history.
Confirm that teams use consistent workflow states and production markers.
Establish a baseline using each team’s own history.
Identify a queue or constraint you can change.
Review the trend after the change.

Do not use activity volume, lines of code, or isolated commit counts as individual performance measures. These measures ignore work complexity and encourage harmful behavior.

Last modified on September 15, 2026