Metrics question
How would you measure user trust in an autonomous agent over time?
- Manus
- Metrics
- Medium
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What this question tests
Metrics design for a hard-to-quantify construct, trust, tracked over time rather than as a single snapshot.
How to approach it
- Define trust behaviorally: users delegate progressively more consequential or higher-stakes tasks to the agent over time without needing to double-check its work.
- Track a delegation-depth metric: the average risk or complexity level of tasks a given user assigns to the agent, watched for growth over their tenure as a user.
- Track a verification-behavior metric: how often users manually double-check or redo the agent's output, expecting this to decline over time as trust builds.
- Track retention and expansion as lagging trust indicators, since users who do not trust an agent will simply stop using it or limit it to trivial tasks.
- Add a direct survey signal periodically, asking users to rate their confidence in the agent for specific task types, to validate the behavioral proxies.
- Define success as an upward trend in delegation depth combined with a downward trend in manual verification, tracked per user cohort over their first several months.
What a strong answer includes
- Defines trust through observable behavior (delegation depth, verification rate) rather than only asking users to self-report.
- Tracks the metric as a trend over a user's tenure, matching the 'over time' framing in the question rather than a single snapshot.
- Uses retention and task-scope expansion as a natural lagging indicator that reinforces the primary behavioral metrics.
- Pairs behavioral proxies with periodic direct surveys to validate they are measuring what they claim to measure.
- Segments by cohort to see how trust curves differ for new versus experienced users.
Common mistakes
- Measuring trust only through occasional user surveys without any behavioral, revealed-preference signal.
- Treating trust as a static score rather than a trend that should be tracked over a user's lifecycle.
Likely follow-up questions
- How would you define 'task risk level' consistently for the delegation-depth metric?
- What would a declining trust trend look like, and how would you respond?
- How would you validate the survey against the behavioral metrics?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop