In an impact factory, a test is not just a one-off check.
It is a structured action built around:
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a measurable objective,
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an explicit hypothesis,
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and a measurement loop that leads to a decision.
What makes this approach distinctive is that it applies at several levels of granularity, from the strategic to the day-to-day, each one serving to reduce a specific type of uncertainty.
🧩 Granularity 1: the strategic test (macro)
Risk addressed: direction, model, viability (see the 7 test objects)
The team wants to check whether there is a market for a food-tracking assistant that helps cafeterias reduce waste. The strategic hypothesis is: “If we manage to cut daily waste by 20%, cafeterias will be willing to pay €49/month.”
Associated test:
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10 cafeterias use a simplified spreadsheet (low-cost PoC).
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Measurable objective: measure the actual reduction in waste.
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Expected signal: at least 5 cafeterias reach 20%.
If the reduction is only 5%, the strategy must be revised: this is not a technology problem, it is a value problem.
🧰 Granularity 2: the operational test (meso)
Risk addressed: solution, understanding, design, team capabilities, legitimacy of participants.
To understand how the solution could work day to day, the team organizes an ideation workshop. This workshop is itself a test. Hypothesis: “A 45-minute workshop with 6 cafeteria managers should produce at least 4 usable concepts.”
Measurable objective:
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usable concepts (criterion: feasibility + perceived value).
If the workshop produces only one vague concept, the team learns that:
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the format is not suitable,
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the participants are not the right ones,
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the understanding of the problem is insufficient.
We have validated that the activity itself needs to change.
⚙️ Granularity 3: the atomic test (micro)
Risk addressed: fine-grained understanding, weak signals, micro-decisions.
Midway through the project, a manager asks: “Will I be able to enter waste directly from my phone?”
Micro-hypothesis: “If we rephrase this question as a very short message, we can validate in under 5 minutes whether the idea is understood and useful.”
Atomic test:
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send two variants of the message to 3 managers,
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objective: get at least 2 clear answers in under 10 minutes.
Result: no one answers, so it is not a priority.
This avoids a week of work on a useless feature.
At this very fine granularity, we find the everyday micro-experiments that punctuate a team’s life: a meeting designed to resolve a blocker, a message tested to draw more feedback, a quick exchange with a customer to validate an intuition. The strength of the impact factory lies in this continuity of experimental logic, from the most ambitious project to the most mundane task. Every activity, every meeting, every decision becomes a measurement point on the collective trajectory, a way to learn faster than others.
The strength of the impact factory: nested granularities
Like Russian dolls:
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the atomic test feeds the operational test,
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the operational test feeds the strategic test,
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and each loop reduces one risk before the next.
So, from the strategic PoC to the text message sent in under a minute, the organization uses the same grammar of experimentation: identify an issue → define an objective → plan/organize the test → deliver the material and resources needed to carry out the test properly → run the test (operate) → measure the test result → analyze and decide what comes next.
It is this continuity that makes it possible to learn faster than others.
