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feat: add user feedback collection to plan2code-metrics

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- Add UserFeedback type (rating 1-10, reason, went well, went poorly)
- Collector parses ## User Feedback table from overview.md
- Aggregator computes avg_user_rating and feedback_count per cohort
- CLI offers interactive feedback collection with pipe-safe escaping
- Finalize prompt collects optional feedback as Step 5 (before archival)
- Analysis/improvement prompts reference avg_user_rating metric target
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Justin Parker
2026-02-22 21:38:58 -08:00
parent 5c2f70a37c
commit 348c8ed7b2
8 changed files with 178 additions and 6 deletions
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plan2code-metrics/src/prompts/improve.md
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@@ -45,6 +45,7 @@ The following diagnosis was produced by the analysis step:
- For high `avg_blocker_count`: Add blocker-recovery guidance or prerequisite check instructions.
- For low `avg_confidence`: Strengthen the confidence calculation instructions with clearer rubrics.
- For low `avg_parallel_groups`: Add explicit guidance for identifying parallel tasks in Step 2.
- For low `avg_user_rating`: Review user feedback themes (what_went_well, what_went_poorly) for systemic issues.
- Keep each `new_text` as short as possible while still addressing the root cause.
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