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LAB / 04 · Live tool
Experiment Preflight
Check whether an A/B test has enough traffic and time to detect an effect that would actually be worth shipping.

01 / CONTEXT
The problem
Many experiments begin with a variant but no honest answer to whether the available traffic can resolve the decision. Preflight makes that constraint visible before implementation work begins.
02 / CAPABILITIES
What it does
- 01
Estimate required sample size and runtime.
- 02
Connect minimum detectable effect to business relevance.
- 03
Expose assumptions before a test is added to the roadmap.
03 / SYSTEM
Privacy & architecture
A small static decision-support tool that runs calculations in the browser.
Built with
- Static web app
- Experiment statistics
- Vercel
04 / HONEST NOTES
Known limits
- Estimates do not replace a complete experimental design review.
- Traffic seasonality, novelty and interference still require judgment.