Before
Calibration evidence is unevenFeedback snippets, competencies, support needs, and review questions are captured differently across reviewers.
- Evidence
- Competencies
- Questions
New · New · People
Organize performance calibration notes into fair, evidence-backed summaries. DearClaw uses the provided context to produce the final output: calibration notes ready for discussion, with evidence, assumptions, open questions, and next actions.
USE CASE OUTCOME
Feedback snippets, competencies, support needs, and review questions are captured differently across reviewers.
DearClaw creates evidence summary, competency themes, calibration questions, consistency checks, follow-up support, and review notes.
HOW IT RUNS

QUICK ANSWERS
Organize performance calibration notes into fair, evidence-backed summaries. DearClaw uses the provided context to produce the final output: calibration notes ready for discussion, with evidence, assumptions, open questions, and next actions.
Performance Calibration Notes is for teams working on people use cases in DearClaw.
Start with goal: Organize performance calibration notes into fair, evidence-backed summaries., material: performance calibration notes, and result: Calibration notes ready for discussion.
Performance Calibration Notes produces Evidence summary, Consistency, and Support.
Start with performance calibration notes plus the goal for this case. DearClaw organizes the context, highlights the important gaps, and turns it into the final output: calibration notes ready for discussion.
It fits repeatable knowledge work when the user can provide useful source material and review the result before acting. It should not replace final judgment, approvals, or source-of-truth systems.
The related section links to nearby DearStore use cases that share audience, category, or output intent.