Time to approval
Also known as Approval latency, Review approval time
Definition
Time to approval measures the elapsed period from a proposed change to the point at which required approval is recorded.
What the measure captures
Time to approval measures the elapsed period from a proposed change to the point at which required approval is recorded. It is most useful when the team states the unit of analysis, the start event, the completion event, and the population being measured. A review request, a pull request, and a merge are related events, but they are not interchangeable. Keeping those boundaries visible prevents a dashboard from turning an operational signal into an unexplained score.
A practical example
A team can compare median and high-percentile approval time for routine changes, ownership-sensitive changes, and urgent fixes. Start with a small sample and inspect the underlying requests before creating a target. Record the repository, change type, reviewer path, and relevant policy state. That makes it possible to explain an unusual result instead of simply celebrating or escalating a number. Compare similar work over time and annotate major changes in ownership, branch rules, or automation.
How to use it carefully
Approval timing includes waiting and discussion, but it does not show whether the approval was informed or whether merge controls added delay. Review metrics work best as prompts for team-level investigation. Combine them with review samples, author and reviewer feedback, escaped defects, rework, and delivery outcomes. Avoid ranking individuals from a single measure because review difficulty, system familiarity, and assignment patterns vary. A healthy process makes useful feedback available at an appropriate time while preserving accountability for the final change.
How this relates to Weave
Weave can connect review events with change context and delivery signals so teams can inspect time to approval alongside review time, pull request size, and flow. That context helps teams investigate queues and quality patterns without treating one review number as a verdict on an engineer.
How this relates to Weave
Weave can connect review events with change context and delivery signals so teams can inspect time to approval alongside review time, pull request size, and flow. That context helps teams investigate queues and quality patterns without treating one review number as a verdict on an engineer.
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