Strategy question
You are in a first meeting with a payer or provider C-suite team that wants 'AI for customer experience' but has not aligned on the highest-value workflow. How would you structure the conversation to identify the right initial use case, quantify value and risk, and leave with a credible 12-month transformation roadmap?
- Decagon
- Strategy
- Hard
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What this question tests
Whether you can run a structured first executive conversation that turns a vague ask into a specific, quantified, credible roadmap, rather than pitching generic AI capabilities.
How to approach it
- Open by mapping the C-suite's current workflows across the member or patient journey, asking where the most time, cost, or dissatisfaction concentrates today, rather than starting from what Decagon can build.
- Narrow to 2-3 candidate workflows using concrete questions: volume (how many interactions per month), current cost (staffing hours or outsourced cost), and complexity (how much of it fits a repeatable pattern versus genuine case-by-case judgment).
- Quantify value and risk for each candidate: estimated time or cost savings if automated at a realistic resolution rate, against compliance or safety risk if the workflow touches PHI or clinical judgment.
- Pick the initial use case where value is high, risk is manageable with human escalation paths, and success is measurable within a reasonable pilot window, and get explicit executive agreement on that single starting point before moving on.
- Leave the meeting with a credible 12-month roadmap sketch: pilot the initial use case first, define the expansion sequence to adjacent workflows based on pilot learnings, and name the metrics that will justify each expansion.
What a strong answer includes
- Starts discovery from the customer's workflow reality instead of pitching capabilities, which is the right posture for a first executive meeting with no aligned priority yet.
- Quantifies value and risk with concrete inputs, volume, cost, compliance sensitivity, rather than a qualitative sense of importance.
- Leaves with a specific, sequenced roadmap tied to pilot learnings, not just a signed intent to explore AI generally.
Common mistakes
- Pitches Decagon's capabilities before understanding the customer's actual workflow priorities.
- Leaves the meeting with a vague direction to explore rather than one specific initial use case and a measurable pilot plan.
Likely follow-up questions
- How would you handle a C-suite team that insists on starting with the highest-risk, highest-value workflow.
- What would you do if volume and cost data are not readily available from the customer.
More strategy questions
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- Decagon can support enterprise deployments through native integrations, customer-built API/SDK integrations, or partner-built extensions. How would you prioritize which systems and deployment patterns to productize first? Walk through the decision framework you’d use, including customer demand, implementation cost, reusability across accounts, security/compliance blockers, and impact on time-to-launch.Decagon · Strategy · Hard
More questions from Decagon
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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop