Product design question
How would you improve Claude Code's experience for enterprise engineering teams?
- Anthropic
- Product design
- Medium
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What this question tests
Tests product design for a technical tool serving enterprise engineering teams with organizational, not just individual, needs.
How to approach it
- Identify what changes at enterprise scale: team visibility into what Claude Code is doing across many engineers, governance over what it can access, and consistency across repositories.
- Prioritize the biggest gap: admins today likely lack visibility into usage patterns, cost, and code quality impact across the whole engineering org.
- Design an admin and observability layer: usage dashboards by team, cost tracking, and visibility into what kinds of changes Claude Code is making across repos.
- Design governance controls: permission scoping per repository or team, and policy controls over what actions Claude Code can take without human review, like pushing to protected branches.
- Design for consistency: shared configuration and conventions, like team wide coding standards Claude Code should follow, rather than each engineer configuring it individually.
- Confirm with the interviewer whether the priority is admin visibility and governance, or engineer level productivity features, since enterprise buyers often care most about the former.
What a strong answer includes
- Prioritizes admin visibility and governance controls, correctly identifying that enterprise buyers care as much about oversight as they do about individual engineer productivity.
- Proposes permission scoping tied to existing repository and team structures, integrating with how enterprises already manage access rather than inventing a new model.
- Adds shared team level configuration for coding standards, solving a real pain of inconsistent AI generated code across a large engineering org.
- Ties improvements to enterprise specific outcomes, like reduced risk from unreviewed automated changes, not just individual speed gains.
Common mistakes
- Focusing only on individual engineer productivity features, missing the governance and visibility needs specific to enterprise buyers.
- Ignoring permission and access control, which is often the actual blocker to enterprise wide rollout.
- No mention of consistency across a large team, leaving each engineer to configure behavior independently.
Likely follow-up questions
- How would you design the approval flow for actions like pushing to a protected branch?
- What would you show an engineering leader in a usage dashboard that they would actually act on?
- How would you handle a team that wants to fully restrict Claude Code's autonomous actions?
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More questions from Anthropic
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