Review priority
Also known as Review priority, Review priority workflow
Definition
Review priority is a practical concept in a pull-request workflow that shapes how people examine, discuss, own, or integrate a proposed change.
Why it matters
Review is both a quality activity and a learning loop. Useful feedback improves a change and teaches the team about boundaries, failure modes, and local conventions. Repeated findings should become better tests, documentation, or ownership guidance.
The useful question is not whether every repository should implement the concept identically. It is whether participants can understand the current state, the requested decision, and the evidence needed to move forward. Naming those boundaries reduces accidental waiting and makes later analysis more honest.
A concrete example
An illustrative team sees many approvals but recurring post-merge fixes. It samples representative changes, compares review comments with escaped defects, and adjusts its test-review guidance instead of turning approval count into a quota.
In that situation, the record should identify the current diff, the relevant owner, and the next action. If the change moves, the author should explain what changed so a reviewer can focus on new risk instead of repeating work without context.
Limits and judgment
A reasonable process still has unknowns. Dependencies can change, ownership can move, and production behavior can expose risks that pre-merge evidence could not reproduce. Keep follow-up ownership visible when uncertainty remains.
Use the concept as a prompt for better collaboration. Keep technical decisions attached to the change, preserve unresolved concerns, and choose review depth in proportion to the risk rather than to a fixed target.
The canonical focus here is Review priority; use that boundary when comparing it with related concepts.
How this relates to Weave
Weave helps teams study engineering work from pull request and delivery evidence. It should be used to find a useful investigation path, not to rank individual contributors or treat activity volume as a proxy for review quality.
Explore Engineering intelligence