Design thinking resource
Testable statements that describe what is expected to happen when a proposed solution is introduced.
Ideas are often supported by beliefs, intuition and experience. While these perspectives can be valuable, they become stronger when translated into clear and testable predictions.
A hypothesis describes an expected outcome and provides a basis for investigation. It helps teams articulate what they believe will happen and why.
This clarity creates a more disciplined approach to learning and experimentation.
Strong hypotheses include a clear expectation that can be observed, measured or evaluated.
Rather than stating that a solution is good or useful, teams define specific outcomes that would indicate success. This approach establishes meaningful learning objectives and creates a basis for evidence gathering.
The result is greater focus and more intentional experimentation.
Hypotheses guide prototype testing, user research and validation activities.
As evidence is gathered, teams can evaluate whether a hypothesis is supported, challenged or requires further investigation. This process helps reduce uncertainty and strengthens the quality of decisions.
Learning becomes systematic rather than accidental.
Put the method to work
Select an important belief that requires validation.
Describe the expected outcome if the assumption is correct.
Create a method for gathering evidence.
Assess whether findings support the hypothesis.
Why it matters
Clarify what needs to be tested.
Create meaningful opportunities for evidence gathering.
Evaluate ideas through observable outcomes.
Encourage objective assessment of assumptions.
Continue exploring
Explore Minimum Viable Products and evidence-based experimentation.