lean-startup

Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/HafidJoss/Lummy --skill lean-startup-hafidjoss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lean-startup
Source: https://github.com/HafidJoss/Lummy/tree/main/agent/skills/lean-startup
Command: npx skills add https://github.com/HafidJoss/Lummy --skill lean-startup-hafidjoss

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Startups and product teams waste months building products nobody wants because they execute fixed plans instead of testing assumptions. This Skill applies the Lean Startup methodology to design minimum viable experiments, measure real customer behavior, and make evidence-based pivot-or-persevere decisions before scaling. ## Core Features & Use Cases - MVP Design: Choose and size the right MVP type (concierge, Wizard of Oz, smoke test, single feature, piecemeal) to test your riskiest assumption with the least effort. - Innovation Accounting & Actionable Metrics: Replace vanity metrics with cohort analysis, conversion funnels, and LTV/CAC economics that actually drive decisions. - Pivot or Persevere Decisions: Evaluate ten pivot types (zoom-in, customer segment, platform, engine of growth, and more) against pre-defined criteria and validation evidence. - Use Case: A founder wants to test whether remote teams will pay for an async video tool. The Skill guides them to map leap-of-faith assumptions, run a landing-page smoke test with a 3% signup threshold, and define pivot triggers before writing any code. ## Quick Start Help me design the smallest MVP to test whether small marketing teams will pay $49 per month for AI-generated social media captions, including the hypothesis, success metric, and pivot criteria.

Frequently Asked Questions about lean-startup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design an MVP to test a business idea?

Identify your riskiest leap-of-faith assumption, then pick the smallest MVP type that tests it: smoke test for demand, concierge for solution value, or Wizard of Oz for automation needs. Define success metrics and pivot criteria before building anything.

What is the difference between vanity metrics and actionable metrics?

Vanity metrics like total signups or page views always trend up but never inform decisions. Actionable metrics like signup-to-active conversion, cohort retention, and LTV/CAC show clear cause and effect so you can decide what to do next.

When should a startup pivot versus persevere?

Pivot when experiments repeatedly fail to validate hypotheses, metrics stay flat despite iterations, or runway is shrinking without progress. Persevere when metrics improve steadily and each experiment produces clear learning. Set pivot criteria before running experiments.

How does the Lean Startup apply to corporate innovation teams?

Create a sandboxed team with metered funding tied to validated-learning milestones, separate innovation accounting from core-business revenue metrics, and pre-approve experiment categories with legal. This shields experiments from quarterly planning pressure.

What are the limitations of the Lean Startup approach?

Lean methods assume fast, cheap iteration, so hardware and regulated industries need longer loop cycles and pre-approved experiment categories. It also cannot validate vision; Webvan and Segway had real markets but failed by scaling before validating demand.