Defining Success Metrics
A/B testing is more than just trial and error; it requires well-defined hypotheses that lead to measurable outcomes. Success can vary greatly between organizations, whether it's the number of donations collected or the growth of a retargeting list. Aligning on what success means before testing is crucial for effective experimentation.In this clip
From this podcast

Software Engineering Radio - the podcast for professional software developers
SE-Radio Episode 360: Pete Koomen on A/B Testing
Related Questions