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What evaluation criteria (beyond accuracy) do you consistently rely on for AI features?

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2 Answers
  1. Sheila Hara
    Sheila Hara

    Barracuda Networks Sr. Director, Product Management • 3mo

    Accuracy is table stakes. The AI features that create durable value are the ones that perform well across trust, usability, and outcomes in real‑world workflows. The AI features that win aren’t the ones with the highest benchmark scores — they’re the ones customers trust, adopt, and rely on daily. Accuracy matters, but outcomes, predictability, and usability are what turn AI into real product value. When we evaluate AI features, we consistently look at a broader set of criteria: 1. Time‑to‑Value ...Read More

    387 Views
  2. Shahid Hussain
    Shahid Hussain

    Google Group Product Manager, Android • 6mo

    There's no one size fits all for evals -- we have to define these with respect to the problem we are trying to solve. Some of these will be critical, others may be not needed, but it's up to the PM (you!) to prioritise them. Quality / accuracy of the response: could be benchmarked vs a human response, vs a previous iteration of the tech, but beyond the numbers we have to think through how this would fit with our users. Is it enough? Latency & perceived responsiveness: Users have very low tol ...Read More

    772 Views

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