nw-discovery-workflow

Solid

4-phase discovery workflow with decision gates, phase transitions, success metrics, and state tracking

AI & Automation 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

# Discovery Workflow ## 4-Phase Overview ``` PHASE 1 PHASE 2 PHASE 3 PHASE 4 Problem Validation Opportunity Mapping Solution Testing Market Viability | | | | v v v v "Is this real?" "Which matters?" "Does it work?" "Viable business?" ``` ## Phase Details ### Phase 1: Problem Validation Duration: 1-2 weeks | Min interviews: 5 | Techniques: Mom Test, Job Mapping Core question: Is this a real problem worth solving? ### Phase 2: Opportunity Mapping Duration: 1-2 weeks | Min interviews: 10 cumulative | Techniques: OST, Opportunity Algorithm Core question: Which problems matter most? ### Phase 3: Solution Testing Duration: 2-4 weeks | Min interviews: 5 per iteration | Techniques: hypothesis testing, prototypes Core question: Does our solution actually work? ### Phase 4: Market Viability Duration: 2-4 weeks | Min interviews: 5 + stakeholders | Techniques: Lean Canvas, 4 Big Risks Core question: Can we build a viable business? ## Decision Gates ### G1: Problem to Opportunity Proceed: 5+ confirm pain + willingness to pay | Pivot: problem differs from expected | Kill: <20% confirm ### G2: Opportunity to Solution Proceed: top 2-3 score >8 (max 20) | Pivot: new opportunities discovered | Kill: all low-value Scoring: Score = Importance + Max(0, Importance - Satisfaction). Each 1-10. >8 = high imp...

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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