## Why Is Measuring Hypotheses Important? Measuring hypotheses is essential to build evidence for or against assumptions and confirm whether desired outcomes were achieved. Without measurement, teams rely on opinion rather than data and can’t determine what truly works. >[!metaphohr] >Building without measuring is like baking a cake you never plan to taste. Without checking the result, you’ll never know if your effort was worth the ingredients or the time. </br> Measuring hypotheses ensures the work has a purpose, proving whether your assumptions actually rise to the occasion. ## Works Consulted 1. [Hypotheses — What are they? Why are they important?](https://www.scrum.org/resources/blog/hypotheses-what-are-they-why-are-they-important) | Scrum.org | Accessed 23 Jun. 2025. 2. [Why Experiment](https://www.scrum.org/resources/blog/why-experiment) | Scrum.org | Accessed 12 Apr. 2025. ## Connections follows:: [[5.2a Hypotheses Are Testable Assumptions]] topics:: [[Metrics]], [[Hypothesis]], [[Assumption]], [[Experiment]] Related | [[5.1c Impact Mapping Without Metrics Is Just Motion]] -> [[6.2 Measurement Confirms Whether Actions Work]] ![[Footer]]