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Zhongwei Li
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---
name: synthesize-insights
description: Consolidates qualitative + quantitative customer signals into executive-ready briefs.
usage: /customer-analytics:synthesize-insights --theme "onboarding" --sources "interviews,surveys,community" --audience "product,marketing"
---
# Command: synthesize-insights
## Inputs
- **theme** focus topic (onboarding, adoption, support, expansion, churn).
- **sources** comma-separated inputs (interviews, surveys, community, NPS, usage).
- **audience** target stakeholders (product, marketing, sales, cs, exec).
- **urgency** normal | rush to tailor scope.
- **format** deck | memo | digest.
## Workflow
1. **Signal Collection** gather requested data + qualitative notes; dedupe/resample as needed.
2. **Coding & Tagging** cluster observations into themes, sentiments, and impact level.
3. **Quantification** add metrics per theme (occurrence, ARR impacted, retention delta).
4. **Recommendation Layer** map insights to actions, owners, and next experiment ideas.
5. **Packaging & Distribution** produce deck/memo/digest plus repository updates.
## Outputs
- Insight brief with themes, quotes, metrics, and action items.
- Repository updates with tags + links.
- Follow-up tracker for product/GTM owners.
## Agent/Skill Invocations
- `customer-insights-partner` leads research synthesis.
- `segmentation-architect` contextualizes insights by segment.
- `retention-analyst` quantifies impact on retention metrics.
- `insight-repository` skill maintains tagging + historical logs.
- `activation-map` skill links insights to GTM actions.
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