Run More Winning A/B Tests — 615 Experiments Show You Which Patterns Work, Fail, and By How Much

Each test saves you weeks of testing time and up to thousands of dollars in potential upside from higher conversions.
Total sample size of all our tests is 131,245,999 visitors. That's a lot of testing to do on your own.

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Jakub Linowski Each month, Jakub Linowski, founder of GoodUI, gets on a 1-hour call to review one of your experiments — plus a written report covering test design, power calculations, UI changes, metrics, triggering, and run duration.

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5+ New Tests Each Month

Get 5 new A/B tests each month as we obtain new test results.

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Without GoodUI Fewer Than 1 In 3 Tests Produce A Win

Many teams encounter flat or losing tests — with fewer than 1 in 3 generating a meaningful uplift. You end up questioning the ideas, the implementation, and the program itself.

With GoodUI Start Every Test With Probability On Your Side

GoodUI shifts the odds before you write a single line of test code. By starting from patterns with documented win histories, you're prioritizing by probability — not intuition.

Without GoodUI Gut Feel Is Your Prioritization Method

Without test data, "gut feel" becomes the de facto prioritization method. The result? Random 50/50 outcomes disguised as a roadmap.

With GoodUI 615 Replicated Tests Become Your Roadmap

615+ replicated tests give you a prioritization queue that's already been pressure-tested. You're not guessing at what to try next — you're working from evidence.

Without GoodUI Your Biggest Bets Produce Your Murkiest Results

Big multivariate tests are gambles. When changes don't have individual track records, they can cancel each other out — and your biggest effort produces ambiguous results.

With GoodUI Stack Proven Patterns Into Leap Experiments

GoodUI lets you build "leap" experiments confidently — stacking patterns that have each independently shown positive signals, with compounding, not luck.

Without GoodUI Every Decision Starts From Zero

Every design decision starts from scratch. You repeat mistakes that other teams already made (and documented).

With GoodUI Design Forward From What's Already Been Tested

Our patterns and templates are starting points already filtered by what's worked. You're designing forward.

Results Guarantee:

A/B test any GoodUI pattern and if it doesn't get you the predicted results you're happy with, we'll refund you 100% within 30 days.

I stand by helping teams get positive results using past a/b tests - with probability on our side.

We’ve seen more positive experiment outcomes than not by using the GoodUI test data ourselves. Because we and the teams we work with have successfully replicated many of the positive patterns, I am also confident that they will also work for you - more likely than not.

It’s simple: use our pattern or test data to estimate your a/b tests. If this doesn’t help your experiment, growth or design team increase your win rate, email me your experiment and I’ll refund you 100% of the price within 30 days of purchase.

Sincerely
Jakub Linowski - GoodUI Founder


Common Questions With Answers

  • Are the patterns for desktop or mobile?

    Usually both and we show which ones were tested where. Most of the patterns are highly applicable to various devices. Our tests are also tagged with the device segments that they ran on.

  • What does the repeatability scale mean?

    Everytime a pattern is assigned with a new test, it gains or loses a repeatability point (depending on whether it won or lost). This is one simple way of how we separate the higher probability patterns from the underperformers.

  • Are the patterns guaranteed to work?

    No. It's about probabilities. The more a pattern works (with a higher track record of positive tests), the more likely it will work again. Having said that, we also publish very interesting cases where tests fail. We do this with the intention of helping everyone understand what to avoid and what to replicate.

  • What type of companies share test results on GoodUI?

    We have published quality experiments from a wide range of trusted and leading companies, including: Microsoft, Thomasnet, Backstage, Yummly, Elevate, Designlab, Reverb, VivaReal, ZAP, Volders, Rollbar, Kenhub, Expert Institute, Drip Agency, CXL, etc.

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