Behavioral · medium

How do you handle a metric that means different things to different teams?

Asked in BI Developer interviews.

Short answer

Name and define each version explicitly rather than shipping one ambiguous revenue (gross vs net, booked vs recognized) and document the definition on the dashboard itself. Get teams to agree the canonical one where you can, and where you can't, label them so nobody argues over a number that was quietly measuring two things.

How to answer it

First, do not pick a winner

The instinct is to declare one definition correct. That usually fails, because each team's definition is right for their decision. Finance counting recognized revenue and sales counting bookings are not in error; they are answering different questions.

The problem is that both are called revenue.

Diagnose the disagreement

Different question    each definition serves a genuinely different decision
                      -> both are valid, and both need distinct names

Different filter      internal accounts, trials, refunds
                      -> usually one is simply more careful

Different grain       per user, per account, per session
                      -> often nobody has stated which

Different timing      booked, recognized, collected, refunded
                      -> the most common source in anything financial

The fix

The organizational half

This is mostly not a technical problem. Getting two teams to accept a naming change needs someone senior enough to arbitrate, and a short written note explaining what changed and why their number now has a different label. Doing the modeling without doing that leaves you with correct tables nobody uses.

Key points

FAQ

The 30-second answer

I would not start by picking a winner, because usually each team's definition is right for their own decision. Finance counting recognized revenue and sales counting bookings are both correct; the bug is that both are called revenue.
So I would work out which kind of difference it is: a genuinely different question, a different filter such as internal accounts, a different grain, or different timing, which is the usual one in anything financial.
Then name them apart, write each definition down with its filter, grain, timing and owner, implement each once upstream so every tool reads the same model, and nominate one as the default so an unqualified mention still means something. I would treat the naming conversation as the real work, because correct tables nobody adopts do not fix anything.

In the interview

Practice this for real