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Experiment Card

Experiment Card

Experiment Card

Do you know or do you presume? Validate hypotheses with the Experiment Card

In business, the greatest risk is not the unknown, but what we believe we know for sure. We often confuse expert opinions with actual facts. The Experiment Card is the essential tool to challenge these beliefs and turn assumptions into validated data. Don't leap into the void relying only on internal experience: use this protocol to isolate critical hypotheses and design rapid, measurable tests.

This approach drastically reduces strategic risk, allowing you to fail fast on a small scale to succeed on a large scale. It's not just about "seeing if it works," but about learning which direction to take to design futures consciously.

Data beats opinion. Turn assumptions into hard evidence to build a reality-proof strategy

How to use the Experiment Card

Step 1: Isolate the Critical Hypothesis

Of all the certainties that the team believes it has, which one has never been verified in the field? Identify the riskiest assumption. Often, it is the one you are most confident about (“The customer will definitely want this,” “The production line must be set up this way,” etc.). Test it first.

Step 2: Define the Test (The Experiment)

How can we verify this hypothesis objectively? Each team member proposes a test method (e.g., Interviews, Landing Page, Prototype). Be specific about the actions: "We will do X to verify Y".

Step 3: Establish the Metric

Without data, it remains just another opinion. Define exactly what you will measure (e.g., Adoption rate, Pre-order numbers, Recurring qualitative feedback). What is the unit of measure for truth?

Step 4: Set Success Criteria

To avoid confirmation bias ("It went poorly but the customer said..."), decide validation criteria upfront. "The hypothesis is true only if we reach result X". This guarantees intellectual honesty in the analysis.

Step 5: Review and Next Steps

Compare Cards, select the strongest experiment, and assign responsibilities. Once the test is executed, return here to analyze the results: did you validate the hypothesis (proceed) or invalidate it (pivot)?

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