Design Lean Startup Experiments

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Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort, using methods like landing pages and explainer videos.

Sby Skills Guide Bot
ProductivityIntermediate
7/25/2026
Claude Code
#lean-startup#pretotype#hypothesis-testing#market-validation#product-discovery

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Automated summary

This skill helps design lean startup experiments (pretotypes) by creating XYZ hypotheses and suggesting low-effort validation methods like landing pages, explainer videos, and pre-orders.

Strengths

  • Based on Alberto Savoia's The Right It and its proven principles
  • Emphasizes skin-in-the-game and own data (YODA) for reliable signals
  • Provides a concrete structure for formulating hypotheses and designing experiments
  • Offers multiple validation methods adaptable to different contexts

Limitations

  • Requires a clear and precise definition of the target market (Y) for the hypothesis to be valid
  • May not adequately cover complex B2B sales cycles or heavily regulated products
  • Depends on the user's ability to execute experiments and interpret results
When to use it

Use this skill when validating a new product idea, creating pretotypes, or testing market demand with minimal effort.

When not to use it

Avoid using it if the product is already validated with real data or if you lack the resources to implement the suggested experiments.

Security analysis

Safe
Quality score88/100

The skill only provides text-based brainstorming guidance for lean startup experiments. It does not execute any code or system commands and has no declared tools, posing no execution or data exfiltration risk.

No concerns found

How this analysis is made

Examples

Validate a meal-prep subscription service
Design lean startup experiments for a meal-prep subscription service that delivers weekly ingredients for healthy meals.
Test a pet-sitting platform
Create XYZ hypotheses and suggest pretotypes for a peer-to-peer pet-sitting platform for vacations.
Check demand for a language learning app
I'm thinking of building a language learning app that uses AI to practice conversations. What experiments can I run to validate it?

name: brainstorm-experiments-new description: "Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand."

Design Lean Startup Experiments (New Product)

Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort.

Context

You are helping validate a new product concept: $ARGUMENTS using lean startup methodology.

If the user provides files (market research, landing page mockups), read them first.

Instructions

  1. Create an XYZ Hypothesis in the form: "At least X% of Y will do Z"

    • X%: The percentage of the target market expected to engage
    • Y: The specific target market (e.g., "mid-size luxury sedan buyers")
    • Z: How they will engage with the product
  2. Suggest 2-3 pretotype experiments to test the hypothesis with minimal effort. Consider:

    • Landing Page: Test interest by measuring sign-ups or clicks
    • Explainer Video: Test understanding and appeal through engagement metrics
    • Email Campaign: Test demand through response and click-through rates
    • Pre-Order / Waitlist: Test willingness to pay through skin-in-the-game commitment
    • Concierge / Manual MVP: Deliver the service manually to test value
  3. Key principles (Alberto Savoia, The Right It):

    • Skin-in-the-Game: Test willingness to pay — not just interest. Real commitment (time, money, reputation) is the only reliable signal.
    • Your Own Data (YODA): Collect your own data through experiments rather than relying on Others' Data (ODP) like market reports or analogies. "The market for your idea does not care about the market for someone else's idea."
    • Measure actual behavior, not users' opinions
  4. For each experiment, specify the hypothesis being tested, the method, the metric, and the success threshold.

Think step by step. Save as markdown if substantial.


Further Reading

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Claude Code
test -f '.skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md' && test -s '.skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/brainstorm-experiments-new' && cp -R '.skill-downloads/design-lean-startup-experiments-mryiqhkq' '.claude/skills/brainstorm-experiments-new'

OpenSkills

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