Product design question
Vendors report that a new annotation task for Claude’s evolving real-world usage has cut worker throughput by 40%, while researchers say the richer feedback is essential. How would you redesign the workflow or interface to recover speed without degrading end-to-end data quality? Be specific about the user pain points, hypotheses, and what you’d prototype first.
- Anthropic
- Product design
- Hard
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What this question tests
Tests product design skill for fixing an annotation workflow that trades off worker throughput against data richness, with a specific hypothesis driven prototype plan.
How to approach it
- Pin down the actual pain point, whether throughput drop comes from more clicks per task, ambiguous judgment calls, or unclear instructions.
- Talk to a sample of annotators on the new task to find where time is actually being spent versus where it should be.
- Form a hypothesis, for example that rich feedback needs too many free text fields when structured multi select would capture most of the same signal faster.
- Prototype the highest leverage fix first, such as replacing free text with structured tagging plus an optional comment box for edge cases.
- Test the prototype on a held out set scored for both speed and whether researchers still find the feedback rich enough.
What a strong answer includes
- Diagnoses the throughput drop with real annotator observation rather than assuming the interface itself is the problem before checking task complexity.
- Frames the fix as a structured versus free text tradeoff, a concrete and testable hypothesis rather than a vague plan to simplify the UI.
- Protects data quality explicitly by having researchers score the new format's usefulness, not just measuring speed recovered.
- Proposes piloting with a small annotator group before rolling the redesign out to the full workforce.
Common mistakes
- Assuming the interface is the sole cause without checking whether task ambiguity is driving the slowdown.
- Optimizing purely for speed and losing the richer signal that made researchers value the new task.
Likely follow-up questions
- How would you validate that a structured format captures the same signal as free text?
- What would you do if speed and quality genuinely traded off with no win win fix?
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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 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop