Review Distribution Overview
The Review Distribution Overview report page presents the visuals listed below. Each row gives the on-screen name, its underlying metric, and a short description; see the metric glossary for the full formula and interpretation.
Visuals:
| Name | Measure | Description |
|---|---|---|
| Total reviews | Count of review IDs (one per performance review) | Total number of performance reviews in scope. It's the base against which the review-status, alignment, and rating measures are read, so every review share on the page is relative to it. It counts reviews, not people, though typically each worker has one review per cycle. Read the completion and alignment percentages relative to this total. |
| Total completed reviews | Count of reviews where the completed flag = Yes | Number of performance reviews that are fully completed, i.e. finished the review cycle overall. It measures review follow-through; read against # Reviews (or via a completion rate) to see how many reviews reached the end. It counts reviews, not people. Note there are separate worker-side ( # Worker review completed ) and manager-side ( # Manager completed review ) completion measures for each party's own status, whereas this is the overall completion. |
| Completion rate | Count of reviews where completed flag = Yes÷ count of all reviews | Share of performance reviews that are fully completed, i.e. the overall review completion rate. It puts # Completed reviews in context so cycles or teams of different sizes compare fairly; a low or falling rate flags reviews stalling before completion. It counts reviews, not people. Read against the worker-side and manager-side completion rates to see which party is holding reviews up. |
| Review rating distribution | Count of reviews with this rating÷ count of reviews across all ratings (in the row) | Share of reviews at each performance rating, normalized so the ratings sum to 100% within each row (for example within each org unit). It turns raw rating counts into a distribution you can compare across rows regardless of their size, showing where each group's ratings cluster. A skew toward the higher ratings means generous outcomes, a flatter spread means more differentiated results. Read against # Reviews by performance rating for the underlying counts. |
| Reviews Evaluation Status | Count of reviews, by overall review status | Review break down across their overall status (the combined worker + manager progress state), showing where reviews sit in the lifecycle. A large completed bucket means reviews are finishing; large not-started or in-progress buckets flag a stalled cycle. On screen it's rendered as a 100%-stacked column per org level (share of that unit's reviews in each status), so it compares composition across the org rather than raw counts. It counts reviews, not people. |
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For more information about the visuals and metrics used in Analytics Hub, refer toVisuals in Analytics hub and Metric dictionary, respectively.