Design thinking resource

Hypothesis Testing

A structured approach used to evaluate whether a prediction or expected relationship is supported by evidence.

01

Turn assumptions into testable statements

While assumptions are often vague beliefs, hypotheses provide specific predictions that can be tested through evidence.

For example, a team might hypothesise that simplifying a registration process will increase user completion rates. This prediction can then be examined through observation, experimentation or measurement.

Creating clear hypotheses encourages disciplined thinking and provides a stronger foundation for learning.

02

Gather evidence systematically

Hypothesis testing relies upon structured methods for collecting and analysing information. Rather than seeking evidence that confirms a belief, teams aim to understand whether available evidence supports or challenges the prediction.

This approach promotes objectivity and reduces the influence of personal bias.

Evidence may be gathered through experiments, surveys, interviews, analytics or direct observation, depending on the question being investigated.

03

Learn from every outcome

The value of hypothesis testing lies in learning rather than proving that an idea is correct.

When evidence supports a hypothesis, confidence in the prediction increases. When evidence contradicts a hypothesis, teams gain an opportunity to rethink assumptions and explore alternative explanations.

Both outcomes contribute valuable knowledge and strengthen future decision-making.

Put the method to work

Put Hypothesis Testing into practice

01

Develop a clear hypothesis

Create a specific prediction that can be tested and evaluated.

02

Select a testing approach

Choose methods capable of generating meaningful evidence.

03

Gather and analyse evidence

Collect data systematically and compare findings against the hypothesis.

04

Refine understanding

Accept, reject or revise the hypothesis based on the evidence obtained.

Why it matters

What Hypothesis Testing makes possible

Encourages rigorous thinking

Clear hypotheses create a stronger foundation for investigation and learning.

Reduces bias

Structured testing promotes objectivity and evidence-based conclusions.

Supports experimentation

Teams can evaluate ideas in a disciplined and repeatable manner.

Generates actionable insights

Testing helps transform uncertainty into useful knowledge.

Related concepts

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