Evaluate AI-assisted ads creation feature

Q: Evaluate AI-assisted ads creation feature

This question evaluates a data scientist's competence in experimental design, metric selection, causal inference, and balancing business metrics with user safety when launching an AI-assisted ad creation feature.

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Question

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You’re launching an AI-assisted ad creation tool for advertisers (it suggests copy/creative and helps generate new ads). You need to evaluate whether it is beneficial and safe to ship broadly.

Prompt

What are the primary success metric(s) , diagnostic metrics , and guardrail metrics you would use? Explain tradeoffs and how you would avoid “winning” on a proxy while harming the ecosystem.
How would you design an experiment to measure incremental impact of the tool? Be specific about:

unit of randomization (advertiser, campaign, ad account, geo, auction bucket, etc.)
opt-in/partial adoption and how to handle it
duration, power/MDE, and variance reduction ideas
risks like interference/marketplace effects and novelty effects

If the tool increases total spend but decreases downstream user experience (e.g., more complaints), how would you decide whether to launch?

Evaluate AI-assisted ads creation feature

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