Feedback Ratings
The Feedback Ratings 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 rated feedbacks | Count of feedback items that have a rating (non-blank rating ID) | Number of feedback items that received a rating, i.e. where the recipient rated the feedback they got (on qualities like clarity or trust). It's an engagement signal on the quality loop: it counts rated feedback items, not the ratings' scores and not people. Read against # Feedback sent to see what share of feedback gets rated; a low count means the rating feature is little used. |
| Users who received feedback ratings | Count of feedback-rating records received (one per rating row, not distinct users) | Intended to be the number of people who received a feedback rating, but as written it counts rating records, so someone who received several ratings is counted several times. It therefore reads as rating volume received, not distinct recipients. Read against # Rated feedbacks with that caveat, and don't treat it as a headcount. |
| Feedback characteristics | For each characteristic (Helpful, Constructive, Insightful, Inspiring, Unhelpful, Unclear), count of feedback items tagged with it | A profile of how feedback is characterized, comparing the positive tags (Helpful, Constructive, Insightful, Inspiring) against the negative ones (Unhelpful, Unclear). It shows the quality mix of feedback: a healthy picture leans heavily on the positive characteristics with small Unhelpful/Unclear bars. A single feedback item can carry more than one characteristic, so the bars don't sum to the number of feedbacks. Read with the trust/clarity ratings, which score feedback rather than tag it. |
| Trust (avg.) | Average across recipients of each recipient's average trust rating | Overall average trust score (1–5) that feedback recipients gave when rating the feedback they received, trust being one rating dimension alongside clarity. It gauges how trustworthy or credible feedback is perceived to be. It's computed as a mean of per-recipient averages, so each recipient counts equally regardless of how many ratings they gave. Read against the Clarity average and against # Rated feedbacks , since few ratings make it volatile. |
| Clarity (avg.) | Average across recipients of each recipient's average clarity rating | Overall average clarity score (1–5) that feedback recipients gave when rating the feedback they received, clarity being a rating dimension alongside trust. It gauges how clear and understandable feedback is perceived to be. It's a mean of per-recipient averages, so each recipient counts equally regardless of rating volume. Read against the Trust average and # Rated feedbacks , since few ratings make it volatile. |
| Trust (distribution) | Count of rated feedback items, by trust score | How the trust ratings spread across the 1–5 scale, i.e. how many feedback items got each trust value. It shows the shape behind the trust average: a skew toward 4–5 means feedback is widely seen as trustworthy, while a tail at 1–2 flags feedback perceived as less credible. Read alongside Trust (avg ), which collapses this same distribution into one number. |
| Clarity (distribution) | Count of rated feedback items, by clarity score | How the clarity ratings spread across the 1–5 scale, i.e. how many feedback items got each clarity value. It reveals whether clarity perceptions cluster at 4–5 or have a low tail at 1–2 of hard-to-understand feedback, which the single clarity average hides. Read alongside Clarity (avg) and the trust distribution to compare the two dimensions. |
| Trust & clarity (correlation) | Each point plots a feedback rating's Clarity score (x, 1–5) against its Trust score (y, 1–5) | How the two rating dimensions relate: whether feedback rated clear also tends to be rated trustworthy. Points clustering along the low-to-high diagonal indicate a positive correlation (clear feedback is trusted); a scattered cloud means the two are judged independently. Because both scores are 1–5, points land on a 5×5 grid, so density (or overlap) at each grid position shows where most ratings sit. Read with the trust and clarity distributions, which show each dimension on its own. |
| Leadership clusters | For each worker, average clarity rating on the X axis and average trust rating on the Y axis | Plots each worker (as feedback recipient) by their average clarity and trust ratings, so leaders group into clusters (for example high on both versus low on both). Both axes use the 1 to 5 feedback-rating scale. Read against trust (avg.) and clarity (avg.) for the population averages. One point per worker. |
| Workers who received feedback ratings | Sum of each recipient's received-feedback count (total feedback items received) | Total number of feedback items people received, in scope. It counts pieces of feedback, not recipients, so someone who got 10 pieces contributes 10. It measures volume on the receiving end, not reach. Read against # Users received feedback (distinct recipients) to separate a few heavily-reviewed people from broad coverage, and against # Feedback sent to see the broad feedback tracking. |
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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.