Coaching prompts are evaluation prompts — not extraction prompts. Autopilot and Signals extract information. Coaching evaluates behavior against a defined standard. You are writing the rubric the AI uses to assess the call — define what observable behaviors qualify as strong, adequate, or absent performance for each competency.
Writing competency prompts
Competency examples
Each competency follows the same structure: a PURPOSE statement, numbered areas to evaluate with positive and negative indicators, and example questions or statements. Two examples below — the same pattern applies across every competency in your framework.Example 1 — Discovery Excellence
Example 2 — Identify Pain
Competency aggregation types
Coaching Agent — QA checklist
- Competency prompt has a clear PURPOSE statement defining what is being evaluated
- Positive and negative indicators use observable behaviors — not subjective judgments
- Negative indicators include common failure modes, not just absence of positive ones
- Rules section states what to do when the call is too short to evaluate
- Scoped correctly: Core Skills vs Stage-Based
- CRM conditions set if competency should only evaluate on certain call types

