Product design question
Pick a core collaborative workflow in Figma, such as co-editing, commenting, or design handoff. How would you identify the highest-value user needs across different personas, simplify the workflow end-to-end, and decide what 'high craft' should mean in the final experience?
- Figma
- Product design
- Hard
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What this question tests
Whether you can simplify a core collaborative workflow across genuinely different personas without flattening it into a lowest-common-denominator experience, and define craft with real specificity.
How to approach it
- Pick one workflow, for example design handoff, and identify the distinct personas involved: the designer preparing the handoff, the engineer consuming specs and assets, and reviewers commenting in between.
- Map each persona's highest-value need separately: designers need confidence nothing is lost in translation, engineers need accurate, exportable specs and assets without guesswork, reviewers need fast, low-friction ways to flag issues.
- Simplify the end-to-end workflow by removing steps that exist only because of tool limitations, not because they serve a real need, for example manual re-explaining of intent that better metadata could carry automatically.
- Define high craft concretely for this workflow: pixel-accurate spec generation, sub-second load on large files, and interactions that feel instant even under real-world file complexity, not just polished visuals.
- Validate the simplified flow against all three personas' top needs before shipping, since a flow that delights designers but frustrates engineers with lost fidelity has not actually solved the problem.
What a strong answer includes
- Maps distinct needs per persona explicitly instead of treating collaborative workflow users as one undifferentiated group.
- Defines craft with concrete, testable qualities, like sub-second load and pixel accuracy, rather than a vague aesthetic standard.
- Explicitly checks the simplified flow against all personas before shipping, avoiding a design that serves one group at another's expense.
Common mistakes
- Treats the workflow's users as one persona, missing the different needs of designers, engineers, and reviewers.
- Defines high craft only in visual or aesthetic terms, ignoring performance and fidelity, which matter just as much for a technical handoff workflow.
Likely follow-up questions
- How would you resolve a conflict where simplifying for engineers reduces designer flexibility.
- What would you cut first if craft and shipping speed came into direct conflict.
More product design questions
- Figma Weave needs to grow beyond early adopters without losing the depth that power users value. How would you choose the first adjacent user segment to target, what evidence would you use to justify that choice, and what product changes would you ship in the first two quarters to make node-based workflows more approachable for that segment without capping advanced use cases?Figma · Product design · Hard
- Assume users say Figma Weave’s multi-step creation pipeline feels too rigid for experts and too complex for newer users. How would you diagnose where the workflow is breaking down, and how would you decide whether the next investment should go into foundational workflow improvements versus user-facing UX changes?Figma · Product design · Hard
- Teams need to modify and extend shared workflows in Figma Weave without breaking brand consistency or creative intent. How would you design the abstraction model, such as templates, locked steps, editable parameters, permissions, previews, and versioning, so that teams get flexibility where it matters while preserving reliable, on-brand output?Figma · Product design · Hard
- Design a TV for a car.Google · Product design · Hard
- Design a refrigerator for the blind.Google · Product design · Hard
- Redesign Twitter for eCommerce.Shopify · Product design · Hard
More questions from Figma
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