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lean-experimentation

Validate core assumptions at minimum cost.

Skill by zpower426

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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Validate core assumptions at minimum cost. Proof of concept must be established through experimentation before investing in expensive R&D.

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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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  • codeload.github.com · found in install command

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  • ~/.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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Last commit (this folder)
Mar 31, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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lean-experimentation skill. Agent Mart. https://agentmart.dev/skills/zpower426-lean-experimentation (last updated 2026-10-24)