Digital User Experience Lead (CRO)
On-siteLondon, England, United Kingdom
Job Summary
Own a structured experimentation programme across landing pages, assessment flows, and purchase funnels to drive conversion rate optimization. Combine funnel analytics, behavioural data, and qualitative signals to develop hypotheses, write rigorous briefs with defined metrics, and sequence tests to validate assumptions before committing to big builds. Run quarterly discovery sessions that directly shift roadmap priorities, ensuring every test maps to a strategic question about the patient experience. Collaborate cross-functionally with design, product, and clinical teams to ship tests without delays, while maintaining a compounding library of knowledge and treating dead ends as valuable data points for future iterations.
Required Qualifications
- You think of experiments as a way to validate your thinking, not just a test.
- You don't have a list of things to try: you have a framework for how you decide what to test, in what order, and why.
- Your roadmap tells a story: here's our current strategic focus, here's the evidence behind it, and here's what we'll do next depending on what we learn.
- You're statistically literate and uncompromising about it.
- You understand statistical power, sample size, significance, and confidence intervals, not as boxes to tick, but as tools you use to protect the integrity of your conclusions.
- You've told stakeholders 'we can't call this yet' and held the line.
- You know that a poorly run experiment is worse than no experiment at all.
- You're a systematic hypothesis builder.
- Before you test anything, you know what question you're answering, what you expect to happen, and what you'll conclude if the result goes either way.
- You don't start from 'let's try this'. You start from 'here's what we believe, here's why, and here's how we'll know if we're wrong'.
- You synthesise insight across sources.
- You don't trust one metric or one data type.
- You combine quantitative funnel data with qualitative signals: user research, session recordings, support themes to build a richer picture of what patients are experiencing.
- You use that to write better hypotheses.
- You're obsessed with the 'so what'.
- Results without implications don't interest you.
- Every read-out you write answers the question: what do we now know that we didn't before, and how does it change what we do next.
- You own outcomes, not just execution.
- You track the metric post-launch, diagnose what happened, and come back with a next bet and not just a wrap-up.
- When something doesn't work, you treat it as data, not a failure.
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