Hai Guan
Shane Butler
Free Lesson

Decide which data questions AI answers

60 min
Nov 11, 2026 1:00 PM

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What you'll learn

Sort data questions by risk and by who's asking

Place any question on two axes: what a wrong answer costs, and whether the person asking can catch it.

Pick what to open to AI first

Find the questions that are safe to open now and the ones that need owners and tests before anyone relies on them.

Keep your data team out of the QA role

Spot the questions that turn into "is this right?" pings before you open them up.

Answer "why can't I ask it everything?"

Get a short, honest answer for the exec or team that wants their question opened now.

Why this topic matters

AI analytics rollouts tend to fail the same way: everything opens at once, people get answers they can't check, and the data team spends its weeks confirming numbers. Deciding which questions AI answers, for whom, and when is the call that prevents it. Someone has to make that call on purpose, and it comes before any tool choice.

You'll learn from

Hai Guan

Hai Guan

Co-founder, AI Analyst Lab

Shane Butler

Shane Butler

Co-founder & Principal Data Scientist, AI Analyst Lab

Previously at Stripe, Nextdoor, PwC
Stripe
Nextdoor
PwC Nederland
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