Ask what it's for
The question behind the request changes the analysis.
Why the dashboard gets ignored
Because nobody asked what decision it was meant to support.
How we work
Frame it, query it, explain it
The strongest analysts ask questions before opening the database. What decision, by when, and what would change the answer — ten minutes that saves a week of work nobody uses.
Then SQL has to be correct and readable. A join that quietly duplicates rows produces a confident number that's wrong, which is worse than no number at all, and row-count checks catch it.
Finally the explanation. Answer first, method underneath, caveats stated plainly. Analysts who do this get asked better questions and get their findings acted on.
Our principles
Three beliefs behind the method
Check your row counts
The quiet way joins produce wrong answers.
Never bring real customer data
Anonymized samples or public datasets only.
Shall we look at your work?
Twenty minutes, free, on a query or a question you're stuck on.