WXM structures the work
Every lesson, guide, case study and template maps to a phase of WXM, the Wave Experimentation Model created by Wavesy: Wonder, Architect, Validate, Expand. WXM is a practitioner method, not a peer-reviewed theory; we use it because it reflects how good CRO programs actually operate.
PXL ranks ideas
In the Architect phase we teach PXL, CXL’s prioritization framework, because it rewards research evidence over opinion. We follow CXL’s published criteria and weights and note where teams may customise them.
Statistics tools are tested
Calculators show their formula, assumptions and limits. Their code is unit-tested against independent reference implementations before publication, and the tests run on every change.
Evidence ratings for psychology
| Rating | Meaning |
|---|---|
| Strong | Replicated across many contexts, including field settings |
| Moderate | Well documented, but effect sizes vary widely by context |
| Mixed | Some failures to replicate or important boundary conditions |
| Contested | Active scientific debate about generality or size |
A well-known bias is not proof that it will lift your conversion rate. That is why every principle ends with a testable hypothesis.