What is AB Test Plan?

AB Test Plan is a free AI-powered tool that predicts A/B test outcomes using synthetic persona simulation. Instead of spending weeks of real traffic, you get a prediction in 60 seconds — complete with a Run/Iterate/Kill verdict, persona-by-persona reasoning, and specific iteration suggestions.

How does the A/B test prediction work?

AB Test Plan generates 6 diverse synthetic personas, each with real economic constraints (fixed budgets, time pressure), specific behavioral patterns (skepticism levels, decision styles), and existing workflow investments (switching costs). Each persona independently evaluates your control and variant, then the tool synthesizes their responses into an actionable prediction with a Run, Iterate, or Kill verdict.

Why should I trust synthetic persona predictions?

Unlike generic AI chatbots, AB Test Plan's personas have rigid constraints that force honest trade-offs — like a real person deciding whether to spend their limited budget on your tool vs. keeping their current workflow. The behavioral anchoring methodology is based on Stanford Generative Agent research and forces personas to prioritize rather than agree.

How does ICE scoring work?

ICE scoring rates each experiment idea on three dimensions: Impact (how much will this move the needle, 1-10), Confidence (how sure are you it will work, 1-10), and Ease (how easy is it to implement, 1-10). The total ICE score helps you prioritize which experiments to run first. Higher scores indicate better candidates for testing.

What frameworks does AB Test Plan use?

AB Test Plan uses ICE Scoring for prioritization, Reforge Growth Loops, Cialdini's 6 Principles of Persuasion, Fogg Behavior Model, Jobs-to-be-Done framework, loss aversion, cognitive load theory, behavioral anchoring, and trade-off forcing methodology for realistic persona simulation.

How do I calculate the right sample size for an A/B test?

The built-in calculator determines sample size based on your baseline conversion rate, minimum detectable effect (MDE), statistical significance level (typically 95%), and statistical power (typically 80%). It tells you exactly how many visitors per variation you need and how many days the test will take based on your daily traffic.

Is AB Test Plan free?

Yes, AB Test Plan is completely free. Generate experiment ideas, build hypotheses, calculate sample sizes, preview variants, and run persona predictions at no cost. No account or credit card required.

How long should I run an A/B test?

Run your test until it reaches statistical significance (typically 95% confidence) and has run for at least 1-2 full business cycles (7-14 days minimum). But first, run it through AB Test Plan's prediction simulation to make sure the test is worth running at all — 70-80% of A/B tests lose or are inconclusive.

1,000 Synthetic Personas

Each persona has fixed budgets, real switching costs, behavioral archetypes, and genuine skepticism. They evaluate your A/B tests like real users would.

1,000

Total Personas

Industries

Archetypes

Regions

1000 personas