Product design question

What would you build to help enterprises trust Claude with sensitive data?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Enterprise trust-building product design, addressing the top blocker for enterprise AI adoption: data privacy and control.

Identify what enterprises actually fear: their proprietary data being used to train models, insufficient data residency or access controls, and unclear audit trails.
Build a no-training-on-customer-data guarantee as a default policy, clearly documented and contractually backed for enterprise agreements.
Add data residency and access controls: let enterprises choose where data is processed and restrict which Claude features or third parties can access it.
Add an audit and compliance layer: detailed logs of every request and response, plus support for standard enterprise compliance frameworks like SOC 2.
Add admin-level visibility and control: usage dashboards, role-based permissions, and the ability to restrict which employees or teams can access sensitive capabilities.
Define success as security-review pass rate for enterprise deals and reduction in average time-to-close due to pre-addressed trust concerns.

Names the actual, specific fears enterprises have (training on data, residency, auditability) rather than a vague 'build trust' answer.
Proposes concrete, buildable features (no-training guarantee, residency controls, audit logs) tied directly to those fears.
Includes compliance framework support, which is often a hard gate for enterprise deals, not just a nice-to-have.
Uses security-review pass rate and deal-cycle time as measurable proxies for whether the trust features are actually working.
Shows awareness that this is Anthropic's real, live challenge in growing enterprise adoption of Claude.

Proposing generic marketing or messaging about trust instead of concrete product and policy features.
Ignoring compliance certifications, which are often a hard requirement before enterprise deals can close.

Which feature would you prioritize building first?
How would you prove the no-training guarantee is actually being honored?
How would you measure whether trust concerns were the actual blocker in a stalled deal?