Test hypothesis

Build A Test Hypothesis

Test hypothesis

Plan high-impact, evidence-led experiments


You can’t run a great A/B test without a great hypothesis. This is where your CRO process stops guessing and starts learning.

Experimentation, Strategy, Research

Our Promise

We only ever have somebody running a project who has been doing CRO for a long time.

Make your next tests count

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About Building a Test Hypothesis

Before we test, we build testable hypotheses based on the research and insight we’ve gathered. A strong hypothesis follows a clear formula:

If [we make this change],
then [we expect this result],
because [this is what the research suggests].

We don’t stop at one idea per issue. For each problem we identify, we’ll develop multiple treatments – different ways of solving the same issue – because even with good insight, the right solution isn’t always obvious.

We also understand your site can’t test everything at once. So we score and rank each hypothesis using a prioritisation framework (like PIE) to map out the smartest testing sequence – balancing impact, ease, and importance.

This is where your CRO roadmap begins to take shape. Structured ideas, clearly prioritised, ready to test.

Why Building a Test Hypothesis Matters

✓ Turn research insights into measurable, testable experiments

✓ Map out thoughtful solutions to each of your issues

✓ Prioritise high-impact, easy-to-implement tests

Website experimentation that drives continuous growth and success

Make changes from science-based, data-backed test results with real users, not hunches

Designed for your users’ needs and website’s problems – no blindly following best practices

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