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GoodUI

Evidence-based UI patterns backed by real A/B test results, showing which design ideas actually win and which fail across real experiments.

Overview

GoodUI is a unique resource in the CRO space that catalogs evidence-based UI patterns backed by real A/B test results. Founded on the premise that design decisions should be driven by data rather than opinion, GoodUI has documented hundreds of A/B tests to identify which UI patterns consistently win and which consistently fail.

The site's core value is its library of tested patterns — each pattern includes the hypothesis, the test setup, and the actual results. GoodUI tracked 51 strictly pattern-driven A/B tests and found that 36 ended positively, placing the prediction rate of evidence-based patterns at 71%. This provides strong evidence that learning from past test results can meaningfully improve future testing success.

GoodUI also offers the Catalyst tool, a Figma-based resource for designing A/B tests inspired by proven patterns. The blog publishes case studies, leaked A/B tests from major companies like Airbnb and Netflix, and analysis of what makes certain UI patterns effective. It is an invaluable resource for CRO practitioners and designers who want to ground their test hypotheses in evidence.

Key Features

  • Evidence-based UI pattern library
  • Real A/B test results and data
  • Leaked tests from major companies
  • GoodUI Catalyst for Figma
  • Pattern prediction analysis
  • Case studies with measurable results
  • Design inspiration for experiments

Pros & Cons

Pros

  • + Unique evidence-based approach to UI design
  • + Real A/B test data behind every pattern
  • + 71% win rate on pattern-driven tests
  • + Invaluable for generating test hypotheses

Cons

  • Paid Catalyst tool required for full access
  • Patterns may not apply to all industries
  • Limited new content compared to active blogs
  • Focused on UI patterns, less on CRO strategy

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