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The customer can't randomize, every user must get the new model. How do you measure whether it worked?

Enterprise reality: legal, fairness or ops constraints kill the A/B test, but the exec still demands proof of impact. The quasi-experimental toolkit, and the honest caveats, that let you answer anyway.

Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

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Next in this trackSix months after deployment, the CFO asks: 'What has this model actually earned us?' How do you answer?Premium Next in this trackYour model is live at a customer. What do you monitor, and how do you catch drift before the customer does?Premium Next in this trackOffline the model scores 0.86 AUC. Served live, it's effectively random. Walk me through training/serving skew.Premium

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