Unlock The Predictive Power Of 477 Tests And Counting To Learn Which Patterns Win, Lose, By How Much And Where
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Companies That Trust GoodUI Patterns & Tests For Higher Conversions
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Without GoodUI More Of Your A/B Tests Fall Flat Or Lose
We know the frustration of failing and/or insignificant a/b tests. It's very common for teams to struggle with streaks of failed or insignificant a/b tests one after another with ⅓ or fewer tests generating significant uplifts.
With GoodUI More Of Your A/B Tests Will Win
With access to GoodUI test results, teams increase their odds of detecting more positive and desirable outcomes. When prioritizing your experiments using patterns (actively updated with negative and positive tests), you rely on probabilities and start doing better than chance.
Without GoodUI You Struggle With Subjective Prioritization
Without test data, teams typically prioritize using instinct or gut feelings. That's difficult and leads to random 50/50 results. Not good. Not bad. Just average.
With GoodUI Evidence-Based Prioritization Is Done For You
With access to test data, teams do better than chance while prioritizing using actual effects or track records for greater accuracy and more wins.
Without GoodUI Big Experiments Are Risky
When running bigger experiments without any backing from evidence-based test data, there is an increased risk of multiple changes canceling each other out. This is the reason why often bigger experiments fail.
With GoodUI High Impact Leap Experiments Are Possible
With access to patterns and transparent track records from winning and losing tests, big leap experiments are made possible with lower risk. You can combine positive probability ideas into a single variation with the intent of maximizing gains and shortening your test’s duration.
Without GoodUI Design From Scratch By Re-Inventing The Wheel
Without remembering what worked in the past, we're more likely to repeat the old mistakes - reinventing the wheel.
With GoodUI Design Better Starting From Already Optimized Ideas
With access to GoodUI patterns and templates, you gain an advantage by designing using ideas with higher optimality.
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.