Product design question
A large healthcare payer wants Sierra to launch a customer-support agent in 8 weeks. How would you discover requirements, choose the first workflows to automate, and define an MVP that is safe enough for launch but still delivers measurable value?
- Sierra
- Product design
- Hard
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What this question tests
Tests scoping a safe, valuable MVP under a hard 8-week deadline for a regulated healthcare customer, balancing discovery speed against launch safety.
How to approach it
- Run compressed discovery in week one: interview the payer's support leadership to find the highest-volume, most templated inquiry type, likely benefits or claims status questions, that also carries lower compliance sensitivity than clinical or billing disputes.
- Explicitly exclude higher-risk inquiry types, anything touching clinical advice or appeals, from the 8-week MVP scope, since healthcare compliance risk should gate scope before volume does.
- Define the MVP: automate the chosen low-risk, high-volume workflow with a confident-only response policy, escalating anything ambiguous to a human rather than guessing.
- Build in compliance review as a parallel track from week one, not a final gate, given the regulated nature of a healthcare payer.
- Set launch success metrics before build: containment rate on the chosen workflow, and zero tolerance for any policy-relevant misinformation, monitored closely in the first weeks post-launch.
- Plan the post-launch week explicitly for monitoring and rapid iteration, since 8 weeks doesn't allow for a long stabilization period before value must be shown.
What a strong answer includes
- Uses compliance sensitivity, not just volume, as the primary scope-narrowing filter, appropriate for a regulated healthcare customer.
- Runs compliance review in parallel with build from week one, since a healthcare payer's requirements can't be treated as a final gate under an 8-week deadline.
- Sets a confident-only response policy with escalation as the safety mechanism, rather than trying to automate edge cases within the tight timeline.
- Defines a zero-tolerance safety metric alongside the standard containment metric, appropriate for the regulatory stakes.
Common mistakes
- Choosing the first workflow by volume alone without weighing healthcare-specific compliance risk.
- Treating compliance review as a final-week gate instead of a parallel track from day one.
- Setting no explicit safety metric, only a value or containment metric, for a first regulated-industry launch.
Likely follow-up questions
- What would you do if compliance review isn't done by week 8?
- How would you decide which inquiry types are too risky to automate even later?
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More questions from Sierra
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop