GoodUI helps experimentation and growth teams design better tests by learning from what has already worked. The platform curates hundreds of real A/B test examples from top brands, highlighting proven design patterns that have delivered measurable conversion uplift across industries.
Instead of guessing what might work, teams can explore real experiment outcomes, spot recurring winning ideas, and apply those insights directly to their own tests in Convert. Together, GoodUI and Convert help teams move faster — from inspiration to execution — with greater confidence in their experiment design decisions.
Key Capabilities:
Benefits for Marketers & CRO Teams:
Who It’s For:
While many tools focus on running experiments, GoodUI focuses on experiment design intelligence. By pairing GoodUI’s real-world experiment inspiration with Convert’s robust testing platform, teams can improve not just how they test — but what they test.
GoodUI is an experimentation inspiration platform that showcases real A/B tests from top brands. By highlighting winning design patterns and proven ideas, GoodUI helps teams design more effective experiments and make confident, evidence-based decisions.
Problem: Your team struggles to come up with strong test ideas and often relies on opinions or guesswork. Solution: Use GoodUI to explore real A/B tests and proven design patterns before building experiments in Convert. Outcome: You launch better-informed tests faster, increasing experimentation velocity and confidence.
Problem: Experiments are running, but hypotheses are weak or poorly grounded in evidence. Solution: Identify recurring winning patterns in GoodUI and turn them into evidence-based hypotheses executed in Convert. Outcome: Tests are more strategic, focused, and more likely to deliver measurable uplift.
Problem: Designers propose UI changes, but there’s uncertainty about what actually improves conversions. Solution: Reference similar design changes documented in GoodUI, then validate them with controlled experiments in Convert. Outcome: Design decisions are backed by both prior evidence and live experimentation.
Problem: New team members or stakeholders lack experimentation experience and slow down testing cycles. Solution: Use GoodUI as a learning resource to show real experiment examples, then apply those ideas in Convert. Outcome: Teams ramp faster and contribute higher-quality experiment ideas sooner.
Problem: Teams waste time testing ideas that have already failed elsewhere. Solution: Review past experiment outcomes in GoodUI before prioritizing tests in Convert. Outcome: You avoid low-impact experiments and focus resources on ideas with proven potential.