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Exclusive tool from Why Data Wins

The Black Box Canvas™

The framework that keeps business and data teams aligned, before the technical work begins

Innovation teams and data scientists keep running into the same discussion: “We’re doing this technically perfectly, but are we solving the right problem?” That’s why Joachim De Vos developed the Black Box Canvas™ — a simple, disciplined framework that keeps business and data teams aligned before the technical work begins.

The core idea is deliberately radical: a sharp separation between input and output, with everything in between treated, for now, as a black box. As a manager, you don’t need to understand deep mathematical methods — you focus on what actually makes a difference. Only once three fundamental questions are clearly answered (What should concretely come out? What exactly goes in? What business value emerges if this works?) does it make sense to talk about algorithms and architecture.

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Download the Black Box Canvas™

Choose the blank version to work through for your own project, or the filled-in example to see it in practice — based on a fictional churn case.

NL

Blanco canvas (NL)

Het volledige canvas met alle zeven denkstappen, klaar om zelf in te vullen voor je eigen project.

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NL

Ingevuld voorbeeld (NL)

Hetzelfde canvas, volledig uitgewerkt aan de hand van een churn-voorstelling.

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EN

Blank canvas (EN)

The full canvas with all seven thinking steps, ready to fill in for your own project.

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EN

Filled example (EN)

The same canvas, fully worked out with a churn-prediction example — see how each block works in practice.

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