evidence-review
CommunityBrutally honest evidence evaluation.
Product & Management#interviews#willingness-to-pay#data-quality#evidence-review#bias-analysis#lean-canvas#customer-discovery
AuthorComputerConnection
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill analyzes customer discovery evidence to identify bias, signal quality, and gaps, providing a structured verdict to decide whether to proceed with Lean Canvas.
Core Features & Use Cases
- Adversarial audit of interview evidence across 5 dimensions (confirmation bias, leading questions, signal vs noise, willingness to pay, and pattern recognition).
- Generates a composite Evidence Quality Score and actionable feedback to achieve Stage 3 readiness.
- Updates EVIDENCE-LOG.md with bias flags, quotes, and recommendations for next steps.
Quick Start
Run this skill against your EVIDENCE-LOG.md to generate an initial score and actionable feedback.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: evidence-review Download link: https://github.com/ComputerConnection/z-combinator/archive/main.zip#evidence-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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