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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Files it touches
~/.claude/skills/lean-experimentation
What's inside
- Skill name
lean-experimentation- Description
- Validate core assumptions at minimum cost. Proof of concept must be established through experimentation before investing in expensive R&D.
- License
- MIT
- Instructions
- 52 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Lean Experimentation: Lean Validation and the RAT Protocol
Experimentation is not about proving you are right, but about reducing the risk of failure through lowest-cost learning.
## Core Process: RAT (Riskiest Assumption Test)
Do not rush to build a full MVP. First identify: **"If which one assumption is proven wrong, the entire product/feature becomes meaningless?"** Design an experiment specifically for that assumption.
## Checklist
1. **List All Preconditions (Identify Assumptions)** — Covering Desirability, Feasibility, and Viability.
2. **Filter Riskiest Assumptions (Select RAT)** — Choose those with the highest uncertainty and the greatest impact on success or failure.
3. **Match MVP Type** — Refer to the "MVP Selection Matrix" below.
4. **Define Falsifiable Metrics** — A clear success/failure value must be set in advance (e.g., Click-through Rate > 15%).
5. **Execute and Log Results** — Experiment details are recorded in `docs/pmpowers/experiments/`.
6. **Decision (Pivot or Persevere)** — Decide whether to stay the course, pivot entirely, or stop the project based on evidence.
## MVP Selection Matrix
| Type | Use Case | Cost |
| --- | --- | --- |
| **Landing Page** | Validate demand authenticity and intent to click. | Extremely Low |
| **Smoke Test** | Validate if users are willing to pay for the feature or leave contact info. | Low |
| **Concierge** | Manually simulate AI or automated processes to validate service value. | Medium |
| **Wizard of Oz** | Front-end looks automated, back-end is manually operated; validates complex interaction logic. | Medium |
| **Single Feature Prototype** | Validate the usability of core functionality. | High |
## Validation Loop Logic
```dot
digraph lean_cycle {
"Identify Assumptions" [shape=box];
"Design RAT" [shape=box];
"Run Lean Experiment" [shape=box];
"Learn from Data" [shape=box];
"Assumption Holds?" [shape=diamond];
"Persevere" [shape=doublecircle];
"Pivot" [shape=doublecircle];
"Identify Assumptions" -> "Design RAT";
"Design RAT" -> "Run Lean Experiment";
"Run Lean Experiment" -> "Learn from Data";
"Learn from Data" -> "Assumption Holds?";
"Assumption Holds?" -> "Persevere" [label="Yes"];
"Assumption Holds?" -> "Pivot" [label="No"];
}
```
## Delivery Standards
Experiment reports must include: Hypothesis, MVP Description, Success Metrics, Actual Data, and Conclusion.From zpower426/pmpowers, MIT.
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Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Mar 31, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/zpower426/pmpowers
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.411score
brainstorming
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Must use this skill before any creative work (creating features, building components, adding functionality, or modifying behavior).
SkillDFreshness: DClaude Code +9 - 0.406score
artifact-provenance
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Ensure that every decision, document, and feature in the product lifecycle is transparent and traceable.
SkillDFreshness: DClaude Code +9 - 0.406score
market-research
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Analyze industry trends, competitor dynamics, and potential market opportunities to provide macro support for product decisions.
SkillDFreshness: DClaude Code +9 - 0.406score
customer-discovery
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Understand user personas, pain point scenarios, and their underlying JTBD (Job-to-be-Done) through structured research interviews.
SkillDFreshness: DClaude Code +9 - 0.406score
customer-empathy
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Stand in the user's perspective to feel their emotional fluctuations and decision-making pressure through empathy maps and user journey analysis.
SkillDFreshness: DClaude Code +9 - 0.406score
metrics-definition
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Define, instrument, and track key data points that measure product success, transforming business goals into a quantified feedback loop.
SkillDFreshness: DClaude Code +9
Cite this page
lean-experimentation skill. Agent Mart. https://agentmart.dev/skills/zpower426-lean-experimentation (last updated 2026-10-24)