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Let's start broad. Walk me through a product decision you made with incomplete data — and how you handled the uncertainty.
At my last role we were deciding whether to deprecate a feature with low overall usage but very vocal power users. We had the data but no clear signal on why they valued it...
Clarity · 7.8Structure · 6.2Confidence · 7.1
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Good setup. What did you do to close the qualitative gap? And how did you weigh the risk of being wrong?
We ran five user interviews in a week. Turns out the feature was a workaround for a deeper workflow gap we hadn't noticed. We rebuilt instead of deprecating.
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Strong answer — the pivot lands well. One thing: name the outcome for the business, not just the product decision. Stripe interviewers listen for that.
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Next. How would you prioritise between a feature your top merchants want and one that scales globally? This one's about trade-offs.
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