Innovation Academy Interactive Learning Tool

Experiment Designer

Turn an uncertain innovation idea into a disciplined learning experiment by defining the hypothesis, critical assumption, test method, evidence requirements, success criteria and decision rule.

At a Glance
Primary Focus Evidence-based experiment design
Typical Duration 12–18 minutes
Learning Format Interactive experiment builder
Best For Innovation, product, service and transformation teams
Overview

A useful experiment converts uncertainty into a decision that can be supported by evidence.

The builder starts with an innovation challenge, then develops a testable hypothesis, identifies the most important assumption, selects a proportionate test, defines the evidence to collect and sets success criteria before results are known.

Guided Demonstration

Experiment Designer — Step by Step

Eight locked stages move from experiment context through hypothesis, assumption, test, evidence and decision criteria, then introduce a delivery constraint and conclude with management review.

Design Readiness Not revealed
Critical Assumption Not revealed
Progress Stage 1 of 8
Guided learning stages
Foundation Stage 1 of 8

Current Instruction
Interactive Experiment Dashboard

Hypothesis, Assumption, Test, Evidence and Decision

Reveal the experiment context to begin.

100%
Experiment status: Establish the innovation challenge.
Supporting Table

Translate each design choice into the experiment plan.

Experiment Mode

Test an Experiment Design Mix

Experiment Mode is isolated from the guided demonstration. Adjust uncertainty, test fidelity, evidence quality, observation count and success-threshold clarity to see how the illustrative learning-strength profile changes.

Knowledge Check

Test experiment-design judgement.

Choose an answer, then check it.
Quick Reference

Experiment design cues

Hypothesis

State what you believe will happen, for whom, under what intervention and with what observable outcome.

Critical Assumption

Test the uncertainty that could most change the decision—not simply the easiest thing to measure.

Test Method

Choose the smallest credible test that can expose the target assumption to relevant evidence.

Evidence Requirement

Define what data or observations are needed, from whom and at what quality before the test starts.

Success Criteria

Specify the threshold that will count as sufficient support, partial support or insufficient support.

Decision Rule

Predefine what the team will do if the evidence supports, weakens or contradicts the hypothesis.

Key Takeaway
A strong innovation experiment is designed around a decision, not around activity.

Define the hypothesis, expose the critical assumption to credible evidence, set success criteria before the results are known, and use the evidence to decide what to continue, change or stop.