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AcceptanceRateTimeline
Trend
Report block
Tracks score-result acceptance rate over time for stakeholder-friendly monitoring.
What It Answers
- Are reviewers accepting more AI decisions over time?
- Did acceptance improve after a score release?
- Which periods had weak acceptance?
Use When
- Reporting product progress.
- Monitoring high-level reviewer trust.
- Comparing before/after release windows.
Avoid When
- You need confusion matrix detail; use FeedbackAlignment.
- You need per-topic failure modes; use FeedbackContradictions.
Run From The CLI
Direct report commands are the simplest path for one-off usage. Saved report configurations use `plexus report config create` and `plexus report run`.
plexus feedback report acceptance-rate-timeline \
--scorecard "Customer Service QA" \
--score "Medication Review: Dosage" \
--bucket-type calendar_week \
--bucket-count 6plexus report config create --name "AcceptanceRateTimeline Example" --file acceptance-rate-timeline.md
plexus report run --config "AcceptanceRateTimeline Example"Minimal Configuration
class: AcceptanceRateTimeline
scorecard: "Customer Service QA"
score: "Medication Review: Dosage"
bucket_type: calendar_week
bucket_count: 6Live Rendered Example
Rendered with the same dashboard component used by generated reports.
AcceptanceRateTimeline Example
Score-result acceptance over complete historical buckets
Score-Result Acceptance Rate
86.00%
Accepted Score Results
344 / 400
Feedback Edits
88
Valid: 84
Value changed: 56
Score Results With Feedback
400
Scorecard: Customer Service QA • Score: Medication Review: Dosage • Buckets: calendar_week • Feedback edits: 84/88 • Value-changing edits: 56
Bucket Metrics
| Bucket | Window | Acceptance | Accepted / Total | Corrected | Feedback (valid/total) | Value Changed |
|---|---|---|---|---|---|---|
| Mar 2 | 3/2/2026 - 3/9/2026 | 82.00% | 82 / 100 | 18 | 19/20 | 18 |
| Mar 9 | 3/9/2026 - 3/16/2026 | 85.00% | 81 / 95 | 14 | 22/22 | 14 |
| Mar 16 | 3/16/2026 - 3/23/2026 | 87.60% | 92 / 105 | 13 | 21/23 | 13 |
| Mar 23 | 3/23/2026 - 3/30/2026 | 89.00% | 89 / 100 | 11 | 22/23 | 11 |
How To Interpret It
- This is good for trend communication, but it does not explain which class is wrong.
- Compare with feedback volume before claiming a meaningful improvement.