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CRO Isn't a Testing Problem. It's a Sequencing Problem.

  • cro
  • a/b testing
  • analytics

Most teams run A/B tests and wonder why the results feel hollow. Not because A/B testing is broken, but because they skipped the step before it. The order matters more than the tool.

Step 1: UX research

Interviews, session recordings, usability tests. This is where you find out where users are confused, frustrated, or dropping off entirely. You’re not measuring anything yet. You’re finding the problem.

Step 2: Analytics

Funnels, heatmaps, event tracking. This tells you how many users hit the problem you just found, and exactly where in the journey it happens. You’re sizing the problem, turning a qualitative observation into something you can prioritize against everything else on the roadmap.

Step 3: A/B testing

Now, and only now, do you have a real hypothesis. You’re not guessing which button color feels more “premium.” You’re validating a specific fix to a problem you’ve already found and already sized.

Where most teams actually start

Most teams start at step three. They cook up two button colors, ship a test, and call it optimization. The test wins or loses, and they still don’t know why users weren’t converting in the first place, because they never ran steps one and two. The result is a number with no story behind it, which means the next test starts from zero again instead of building on what the last one taught you.

CRO isn’t a testing problem. It’s a sequencing problem. Fix the sequence, and the tests start actually meaning something, because each one is answering a question you already know is worth asking.