KPI Tree

Jira Metric

Issue Tracking

Cycle Time = Done Date − In Progress Date

Cycle Time measures the elapsed time from when work actively begins on a Jira issue (typically moving to "In Progress") to when it is marked done. It captures the actual working duration, excluding backlog waiting time, and is a key indicator of process efficiency.

Full guide: definition, formula, and benchmarks
JiraIssue Tracking

Cycle Time

Cycle Time measures the elapsed time from when work actively begins on a Jira issue (typically moving to "In Progress") to when it is marked done. It captures the actual working duration, excluding backlog waiting time, and is a key indicator of process efficiency.

How to calculate cycle time

Cycle Time = Done Date − In Progress Date

Why cycle time matters for Jira users

Cycle time is the most actionable flow metric for engineering teams. Unlike lead time, which includes backlog wait, cycle time focuses on the work itself. Reducing cycle time means faster delivery, quicker feedback loops, and more responsive teams.

For Jira teams, cycle time analysis by issue type, priority, and team reveals where process improvements will yield the greatest delivery gains. It helps teams identify whether delays are caused by task size, blockers, or process inefficiencies.

Understand and act on cycle time with KPI Tree

KPI Tree calculates cycle time from Jira workflow transition data in your warehouse. Place this at the centre of your flow metrics tree, with blocked time and flow efficiency as supporting indicators.

Assign RACI ownership to delivery leads for cycle time targets. Set alerts when median cycle time exceeds your team's agreed service level expectations.

Get started with your Jira data

Query using MCP
MCP

Pull metrics from Jira directly through the Model Context Protocol.

Data Warehouse
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Connect your existing warehouse where Jira data already lands.

Professional Services
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Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Empower your team to understand and act on Jira data

Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.

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