| name | field-feedback-synthesizer |
| description | Turn field feedback into clear themes, issue clusters, and owner-ready actions. Use when asked to synthesize rep notes, manager feedback, call snippets, surveys, or CRM comments for enablement, PMM, sales leadership, or product. Route content gap work to content-gap-analysis and single-call coaching to call-review-coach. |
Field Feedback Synthesizer
Turn noisy field input into actionable themes with clear confidence and priority signals.
Confirm Inputs First
- If a current
revenue-enablement-context exists, use it first for ICP, persona, stage, and current initiative framing. If not, ask for only the highest-impact missing context.
- Confirm source types and timeframe.
- Confirm target teams and segments.
- Confirm the decision context: launch, QBR, quarterly planning, manager coaching, or product feedback.
- Confirm whether a structured taxonomy already exists.
- Confirm output audience: enablement, PMM, sales leadership, or product.
- If inputs are incomplete, ask for only the minimum missing items or proceed with labeled assumptions.
Read The Right Reference
Default Workflow
- Normalize all sources into a consistent record format.
- De-duplicate repeated statements without losing signal strength.
- Tag feedback by theme, stage, persona, and severity.
- Weight sources so direct evidence matters more than anecdotes.
- Separate evidence statements from interpretation statements.
- Quantify recurring themes by frequency and business impact.
- Identify the top issue clusters, likely causes, and recommended actions.
- Label confidence by source quality and sample breadth.
- Route adjacent work to content-gap-analysis or the relevant content skill.
Tool Notes
- Optional tools can accelerate synthesis but are not required:
call intelligence exports, CRM notes, survey exports, or spreadsheet datasets.
- If tools are unavailable, proceed with manual coding and explicit confidence labels.
Output Contract
- Theme summary with quantified signal.
- Issue cluster table with likely root causes.
- Recommended actions by owner and horizon.
- Confidence and evidence notes per recommendation.
- Assumptions list when source coverage is incomplete.
Quality Bar
- Themes are traceable to source evidence.
- De-duplication reduces noise without flattening nuance.
- Recommendations are specific and owner-ready.
- Confidence is explicit and justified.
- Output distinguishes signal, hypothesis, and decision.
- Source weighting is explicit so low-quality anecdotal inputs do not dominate decisions.
