Loading content
A structured method to validate product assumptions through hypotheses and controlled tests, enabling data-driven decisions.
Product experimentation is a structured method to validate assumptions about product features, user behaviour, and market impact through hypothesis-driven, measurable tests. Using prototypes, A/B-tests and defined metrics it enables data-informed decisions and reduces risk. It supports iterative learning cycles and aligns stakeholders across discovery and delivery.
Share of users performing a desired action.
Relative change of a metric between test and control groups.
Probability of detecting a true effect.
An e-commerce team tests two product detail pages and documents a significant conversion uplift from changed CTA placement.
A prototype and small user test validate willingness-to-pay for a new feature before incurring development effort.
Staged rollout and monitoring detect unexpected quality issues early and stop rollout when necessary.
1) Formulate hypothesis and define target metrics.
2) Plan variants and segmentation, implement tracking.
3) Run experiment, analyse results and make decision.