Product design question
You arrive on-site at a large health system that wants Abridge to improve documentation for a specialty workflow with unique EHR integration constraints. Before any code is written, how would you run discovery with the executive sponsor, clinicians, and integration team to separate the real workflow problem from stated feature requests, define a tight engagement scope, and agree on concrete success criteria?
- Abridge
- Product design
- Hard
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What this question tests
Whether you can run rigorous, structured discovery on-site with clinical and technical stakeholders to define a scoped engagement before any code is written.
How to approach it
- Start with the executive sponsor to understand the strategic reason this specialty workflow matters now, and what success looks like from a leadership view, separate from specific feature requests.
- Interview clinicians directly observing their current documentation workflow for this specialty, since stated feature requests often describe a workaround rather than the underlying problem.
- Meet with the integration team separately to map the real EHR constraints, data availability, and technical limitations specific to this specialty workflow, since those bound what is actually feasible.
- Synthesize all three inputs to separate the real workflow problem, for example a specific documentation step that takes disproportionate time or introduces errors, from the stated feature requests that may only partially address it.
- Define a tight engagement scope in writing, naming what is included and explicitly what is deferred, agreed with the executive sponsor before any build work starts.
- Set concrete, measurable success criteria upfront, for example time saved per note or error reduction on a specific documentation element, so the engagement has an objective endpoint rather than open-ended iteration.
What a strong answer includes
- Interviews all three stakeholder groups separately before synthesizing, rather than taking the executive sponsor's framing as the full picture.
- Distinguishes the real workflow problem from stated feature requests, a genuine discovery discipline specific to enterprise health system engagements.
- Defines engagement scope in writing with explicit deferrals, protecting against scope creep during a complex integration.
- Sets measurable success criteria before any code is written, giving the engagement a clear, objective endpoint.
Common mistakes
- Taking the executive sponsor's or clinicians' stated feature requests at face value without deeper discovery.
- Skipping the integration team's constraints until later, risking a scope built on infeasible assumptions.
- No written scope or measurable success criteria, leaving the engagement open-ended.
Likely follow-up questions
- How would you handle it if clinicians and the integration team disagree on what is technically feasible?
- What would you do if discovery reveals the real problem is much bigger than the original request?
- How would you decide when the engagement has succeeded against its criteria?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovering and Sizing AI Opportunities
- Chapter 7: Designing AI UX and Oversight
- Chapter 14: Interviewing for AI PM Roles