Picking what to test

Build a backlog of experiment ideas. Score by impact and effort. Align tests with your biggest bottleneck so every experiment moves the needle.

Introduction

Most teams run experiments based on whoever shouts loudest. The result? Random tests that don't address real bottlenecks. A proper backlog captures every idea, scores it objectively, and ensures you're always testing what matters most. This chapter shows you how to build a backlog, prioritise experiments systematically, and align testing with your growth strategy so every experiment moves you closer to your goal.

Building an experiment backlog

Scoring ideas objectively

Aligning with your bottleneck

Build a quarterly experiment roadmap

Conclusion

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Related wiki articles

A/B testing

Compare two versions of a page, email, or feature to determine which performs better using statistical methods that isolate the impact of specific changes.

Hypothesis testing

Structure experiments around clear predictions to focus efforts on learning rather than random changes and make results easier to interpret afterward.

Minimum viable test

Design experiments that answer specific questions with minimum time and resources to maximise learning velocity without over-investing in unproven ideas.

Prioritisation

Systematically rank projects and opportunities using objective frameworks, ensuring scarce resources flow to highest-impact work.

Lead capture rate

The percentage of engaged website visitors who submit their contact information and become leads.

Further reading

Experimentation

Experimentation

Build a backlog of experiment ideas. Score by impact and effort. Align tests with your biggest bottleneck so every experiment moves the needle.