Product design question
Anthropic wants Claude Tag to succeed in shared, public workflows. Design an onboarding experience for an early enterprise customer on a new surface so teams learn when to invoke Claude Tag, how to collaborate with it in shared spaces, and why they should trust its outputs enough to keep using it.
- Anthropic
- Product design
- Medium
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What this question tests
Tests onboarding design for an AI teammate in shared public workspaces, covering discovery, collaboration norms, and earning enough trust to be reused.
How to approach it
- Clarify what shared, public workflows means, a team channel where many people, not just whoever set it up, need to know when to invoke it.
- Design a first use moment that teaches invocation through example, such as a pinned message or guided first task, not a static help document.
- Teach collaboration norms explicitly, when Claude Tag should proactively contribute versus wait to be asked, since unclear norms cause underuse or annoyance.
- Build trust incrementally, starting with lower stakes, easily verifiable tasks so early outputs are easy to check.
- Measure success by repeat invocation from multiple distinct team members, not just the admin who enabled it.
What a strong answer includes
- Designs onboarding around a real, observable first task in the channel rather than a generic tutorial or documentation page.
- Addresses collaboration norms explicitly, such as when the assistant should speak up unprompted, since ambiguity here causes real team friction.
- Sequences trust building from low stakes to high stakes tasks so early experiences are easy to verify and build confidence.
- Uses multi-person repeat invocation as the success metric, catching the common failure where only the admin who set it up ever uses it.
Common mistakes
- Onboarding only the admin who enables the surface instead of designing for the whole team that will encounter it.
- Leaving collaboration norms implicit, so team members either avoid using it or find it intrusive.
Likely follow-up questions
- How would you handle a team member who found early outputs untrustworthy?
- What would you change if only one or two people in the channel kept using it?
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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