product manager product skill risk: low
Lean Startup Pretotype Experiment Designer
Creates XYZ hypotheses in the form "At least X% of Y will do Z" and designs 2-3 pretotype experiments such as landing pages, explainer videos, or pre-orders to validate a new produ…
SKILL 1 file
SKILL.md
--- 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 - [How to Build the Right Product with Alberto Savoia (ex-Innovator at Google)](https://www.productcompass.pm/p/how-to-build-the-right-product-with) - [Testing Product Ideas: The Ultimate Validation Experiments Library](https://www.productcompass.pm/p/the-ultimate-experiments-library) - [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)
INPUTS
- $ARGUMENTS REQUIRED
new product concept to validate
REQUIRED CONTEXT
- new product concept description
OPTIONAL CONTEXT
- market research files
- landing page mockups
ROLES & RULES
Role assignments
- You are helping validate a new product concept: **$ARGUMENTS** using lean startup methodology.
- If the user provides files (market research, landing page mockups), read them first.
- Think step by step.
- Save as markdown if substantial.
EXPECTED OUTPUT
- Format
- markdown
- Schema
- markdown_sections · XYZ Hypothesis, Pretotype experiments, Key principles, Experiment details (hypothesis, method, metric, success threshold)
- Constraints
- include XYZ hypothesis in the form 'At least X% of Y will do Z'
- suggest 2-3 pretotype experiments each specifying hypothesis, method, metric, and success threshold
- apply skin-in-the-game, YODA, and behavior-over-opinion principles
SUCCESS CRITERIA
- Create an XYZ Hypothesis in the form "At least X% of Y will do Z"
- Suggest 2-3 pretotype experiments
- For each experiment specify the hypothesis, method, metric, and success threshold
- Follow key principles: Skin-in-the-Game, YODA, measure actual behavior
CAVEATS
- Dependencies
- Requires files if provided by user
- Missing context
- Exact number of hypotheses to generate
- Explicit output format or section headings
- Whether files provided by user should be summarized in the response
- Ambiguities
- 'Create XYZ hypotheses' uses unclear placeholder/typo instead of a concrete number or variable.
- 'Save as markdown if substantial' leaves 'substantial' undefined.
QUALITY
- OVERALL
- 0.79
- CLARITY
- 0.82
- SPECIFICITY
- 0.78
- REUSABILITY
- 0.80
- COMPLETENESS
- 0.75
IMPROVEMENT SUGGESTIONS
- Replace 'XYZ' with a concrete range (e.g., '3-5') or a parameter.
- Add a required output template with headings for hypothesis, experiments, metrics, and thresholds.
- Define 'substantial' or default to always producing markdown output.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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