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Demand Lab
Design evidence-based market experiments to validate demand and willingness to pay before building.
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See it in action
You say
I want to build a SaaS tool that automates SOC2 compliance for startups. People in a Slack group said they'd buy it. How do I validate this before building the MVP?
Your agent does
Verdict: Needs narrowing. Assumption: Founders will grant a new tool access to their infra for compliance. Test: Offer a $500 "Compliance Readiness Audit" (manual) via a landing page. Metric: 5 deposits in 14 days. Next: If 0 deposits, interview for trust blockers.
What you get
About this skill
The problem
Building a product based on hypothetical interest leads to wasted capital and months of effort on features nobody wants. Most validation methods rely on soft metrics like "likes" or surveys rather than verifiable economic intent.
What it does
- Identifies the single riskiest assumption that could cause your business model to fail.
- Ranks existing evidence based on actual customer behavior rather than stated opinions.
- Designs lean experiments with specific budgets, durations, and primary metrics.
- Sets objective pass, revise, and stop thresholds to prevent emotional decision-making.
- Generates ready-to-use assets like interview scripts, landing page copy, and outreach messages.
Why this beats prompting it yourself
Standard LLM prompts often result in "yes-man" feedback that validates bad ideas. This skill enforces a skeptical, evidence-first framework that prioritizes hard commitments like deposits and pre-orders over vanity metrics.
Use cases
- Designing a paid pilot program to test B2B demand before writing any code.
- Setting up a smoke test landing page with clear conversion thresholds.
- Drafting discovery interview scripts that avoid leading questions and bias.
- Evaluating competitor evidence to determine if a market is accessible or saturated.
Known limitations
Does not provide specific legal, medical, or financial advice for regulated industries. Requires the user to have a basic concept or problem space identified before use.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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