# Customer Evidence Research

> Produce a source-led customer research artifact that separates evidence, claims, inference, uncertainty, and next actions.

- Skill: `codejunkie99/customer-evidence-research` (Agent Skill)
- Install (CLI): `npx skillmds@latest add codejunkie99/customer-evidence-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/codejunkie99/customer-evidence-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: codejunkie99 (https://skillmd.com/u/codejunkie99)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/codejunkie99/customer-evidence-research

---


# Customer evidence research

Load `company-work-packet` first. Build an evidence ledger before writing conclusions. Generated summaries are analysis, not sources.

```yaml
sources:
  - id: interview-014
    type: customer-interview
    location: approved-reference
    access: approved
claims:
  - id: claim-001
    statement: Teams choose the product to reduce manual handoffs.
    sources: [interview-014]
    status: supported
```

Create `artifacts/<slug>/insight-brief.md` with: question, evidence, supported conclusions, inference, open questions, recommended next action, and review status.

Do not update customer records, send research, or make a product decision without packet authority and the required review.