Business
Business Experiment Generator
The business experiment generator draws from a pool of 14 lean validation tests and returns a shuffled subset. The single input — how many — controls batch size from 1 to 10. Experiments range from fake-door click tests and pre-sale checkouts to concierge manual services, smoke-test ad campaigns, cold email outreach, and prototype walkthroughs. Founders and product teams use it when they want to replace opinion with evidence before committing engineering time. Pick the experiment that targets your riskiest assumption, define your pass/fail threshold before you run it, and let the data — click-through, sign-up rate, willingness to pay — make the call. Several cheap tests in sequence let you kill weak ideas fast and double down on what shows genuine pull.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Choose how many experiments you want.
- Generate a set and pick one for your riskiest assumption.
- Decide the pass/fail number before you run it.
- Run it, then let the data make the call.
Use Cases
- •Validating a startup idea before building it
- •Testing demand with a landing page or pre-sale
- •Choosing between competing product directions
- •De-risking a feature before committing engineers
- •Replacing opinion with evidence in a pitch
Tips
- →Test the riskiest assumption first.
- →Set your success threshold before you start.
- →Measure behaviour, not opinions or likes.
- →Keep each test cheap so you can run many.
FAQ
What makes a business experiment useful?
A clear assumption, a cheap test, and a success threshold you set before you run it. Deciding the pass/fail number in advance means the result makes the decision rather than your hopes shaping the interpretation.
Which experiment should I run first?
Start with the test that addresses your riskiest assumption — usually whether anyone wants this at all. Testing demand before testing feasibility saves the most wasted effort when the answer turns out to be no.
How long should an experiment run?
Long enough for a meaningful sample, short enough to stay lean. Most demand tests run a few days to two weeks. Set the end date and the minimum sample size up front so the experiment has a clear finish line.
Can I use multiple experiments on the same idea?
Yes, and running them in sequence is the point. Each experiment answers one question; when you get a positive signal, run the next test against the next biggest risk. Stop when the idea either fails a test or has enough validation to build.
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