nw-discover

Solid

Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.

Testing & QA 526 stars 55 forks Updated 1 weeks ago MIT

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Quality Score: 92/100

Stars 20%
91
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# NW-DISCOVER: Evidence-Based Product Discovery **Wave**: DISCOVER | **Agent**: Scout (nw-product-discoverer) ## Overview Execute evidence-based product discovery through assumption testing and market validation. First wave in nWave (DISCOVER > DISCUSS > DESIGN > DEVOPS > DISTILL > DELIVER). Scout establishes product-market fit through rigorous customer development using Mom Test interviewing principles and continuous discovery practices. ## Context Files Required - docs/project-brief.md — Initial product vision (if available) - docs/market-context.md — Market research and competitive landscape (if available) ## Previous Artifacts None (DISCOVER is the first wave). ## Wave Decisions Summary Before completing DISCOVER, produce `docs/feature/{feature-id}/discover/wave-decisions.md`: 1. **Record Key Decisions** — List each decision as `[D1] {decision}: {rationale} (see: {source-file})`. Gate: every major discovery choice has a rationale entry. 2. **Record Constraints** — List each constraint established from evidence. Gate: all constraints have an evidence source. 3. **Record Validated Assumptions** — List each assumption confirmed, with confidence level. Gate: confidence level stated for each. 4. **Record Invalidated Assumptions** — List each assumption disproved, with evidence reference. Gate: evidence reference present for each invalidation. This summary enables downstream waves to quickly assess DISCOVER outcomes without reading all artifacts. ## Document Update...

Details

Author
nWave-ai
Repository
nWave-ai/nWave
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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