Exclusive interactive test from Why Data Wins

Build Your Profile™

Two legs, one crossbar — how π-shaped are you?

The Greek letter π gives the measurement structure for free: two legs and a crossbar. On page 105 of Why Data Wins, Joachim De Vos introduces the π-profile: professionals with twö depths — domain expertise in their field, and enough data literacy to think along, analyse, and interpret insight. Valuable insight emerges exactly at the intersection of the two.

This test measures three components: your domain depth (D), your data depth (A, via a real knowledge test with increasing difficulty), and your translation ability (V) — turning model output into a decision. Takes about 5 minutes.

This test uses a self-authored item bank, not an externally validated bank of hundreds of items. Treat your score as an indication, not a scientific certificate.

π-score = V-factor × √(D × A) × 10, max 100

D and A on 1-10, V-factor between ~0.7 and 1.15. A geometric mean — not arithmetic — so a 9 on domain and a 2 on data doesn’t yield a high score: that’s a T-profile, not a π.

First: your domain depth

For the most important decisions in your domain, can you state — without looking anything up — what ‘normal behaviour’ looks like, and what deviates from it, and why?

Rarely — I often need to check with colleagues or reportsAlmost always — I recognise deviations and can name the cause immediately

When a number in your domain disappoints, how quickly can you independently name the underlying assumptions and context that explain it?

I need help from others for thisI can do this directly, even in front of a leadership committee

Translation ability (V)

Four short scenarios about turning data into decisions.

Your π-profile

π-score (out of 100)

Compare with your team

Enter a team code (make one up and share it with colleagues) to see your average π-shape as a team.

Want to know how this looks for your organization?

This individual test says something about you. The π-Ready Scan below is a different test — not a knowledge quiz but an honest diagnosis of your whole organization. Sometimes the answer is: this is not a training problem.

Take the π-Ready Scan for your organization

Why this structure?

An arithmetic average of domain and data depth would reward a 9 on domain and a 2 on data with a score of 5.5 — as if that person had a balanced profile. That’s wrong: that’s a T-profile, not a π. The geometric mean (√(D×A)) penalizes that imbalance, and the V-factor acts as a multiplier — translation ability without either leg is nothing to connect.

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