Strategy question
A government customer wants deep research across thousands of pages of classified material plus automated report generation. What would you include in release 1 versus release 2, and how would you resolve scope conflicts across operators, security stakeholders, and multiple government entities?
- Scale AI
- Strategy
- Hard
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What this question tests
Tests scoping judgment for a high stakes government AI product with multiple demanding stakeholders and a hard security and classification context.
How to approach it
- Scope release 1 around retrieval and Q&A across the classified material with strong provenance, showing exactly which source passages informed each answer.
- Defer full automated report generation to release 2, since it compounds risk, both accuracy and formatting expectations, on top of an already hard retrieval problem.
- Require human review and sign off on any output used in an operational or decision making context in release 1, not fully autonomous output.
- Resolve scope conflicts by anchoring every decision to the security stakeholders' non negotiable requirements first, since those define the boundary all other scope decisions must fit within.
- Align multiple government entities by defining a shared minimum viable scope everyone agrees to, rather than trying to satisfy every entity's full wish list in release 1.
- Set explicit release 1 success criteria, such as retrieval accuracy and operator trust ratings, that must be met before scoping release 2's automated generation.
What a strong answer includes
- Sequences retrieval and Q&A before automated report generation, correctly recognizing that grounded retrieval must be solid before compounding risk with generation.
- Anchors scope decisions to security requirements as the hard boundary, appropriately reflecting the classified material context over feature completeness.
- Proposes a shared minimum viable scope across multiple government entities rather than trying to satisfy every stakeholder's full list in release 1.
Common mistakes
- Scoping release 1 to include full automated report generation before retrieval accuracy and provenance are proven, compounding risk unnecessarily.
- Trying to satisfy every government entity's full requirements simultaneously instead of finding a shared minimum viable scope.
Likely follow-up questions
- How would you measure operator trust in release 1 before committing to release 2's scope?
- What would you do if two government entities have directly conflicting requirements for release 1?
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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