Brainstorm Experiments New
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.
Install
$ agentstack add skill-phuryn-pm-skills-brainstorm-experiments-new ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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
- 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
- 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
- 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
- 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)
- Testing Product Ideas: The Ultimate Validation Experiments Library
- Continuous Product Discovery Masterclass (CPDM) (video course)
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: phuryn
- Source: phuryn/pm-skills
- License: MIT
- Homepage: https://www.productcompass.pm/p/pm-skills-2-red-team-ship
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.