Enterprise customers do not trust your AI feature's recommendations. How do you proceed?

Instruction: Explain how you would frame the risk, make the call, manage stakeholders, and reduce downside.

Context: Tests high-stakes product judgment under ambiguity or conflict. Strong answers should show risk framing, decision quality, and calm stakeholder management.

Updated

Official answer available

Read the opening below, then unlock the full answer and practical guidance.

I would ask customers for examples of recommendations they distrust and identify the consequence of an error in their workflow. The issue might be incorrect or stale output, missing context, inconsistent behavior, unclear provenance or an explanation gap. Better presentation cannot make an unreliable recommendation trustworthy.

With engineering, domain experts and affected users, I would...

Upgrade to view official answer

Related Questions