A hypothesis is a testable statement that predicts the impact of a specific change on user behaviour or performance. In optimisation, hypotheses are used to guide experimentation and focus efforts on measurable outcomes.
A well-formed hypothesis links insight, change, and expected result.
Examples in Action
- Predicting that simplified form fields will increase completion rate
- Anticipating that clearer messaging will improve engagement
- Testing whether trust signals reduce abandonment
- Evaluating the impact of layout changes on progression
Typical Outcomes / Results
- More focused and effective experimentation
- Clear rationale behind testing decisions
- Improved learning from both successful and unsuccessful tests
- Better alignment between insights and outcomes
This glossary entry reflects common hypothesis usage in experimentation and optimisation.