Product design question
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
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What this question tests
Tests designing an abstraction model, templates, locked steps, parameters, permissions, previews, versioning, that gives teams real flexibility while preserving brand consistency and creative intent.
How to approach it
- Define a template as a locked structure with explicitly editable parameters, for example colors within an approved palette or copy within a defined character limit, rather than a fully open canvas.
- Distinguish locked steps, brand-critical elements like logo placement or core layout, from editable parameters, so teams know exactly what they can and cannot change without needing to ask.
- Add permissions so template owners, brand or design system teams, can decide which team members can only use templates as-is versus which can create new editable parameters or unlock additional steps.
- Require a preview before any team applies a modified template broadly, so brand owners or the team itself can catch an off-brand result before it ships at scale.
- Add versioning so template updates from the brand owner propagate to teams using it, with a clear changelog, rather than teams silently working off a stale, outdated template.
- Validate the model by having one team attempt a real deviation they've wanted, and checking whether the locked-versus-editable boundary actually matches what should and shouldn't be flexible in practice.
What a strong answer includes
- Separates locked structure from editable parameters explicitly, giving teams a clear, bounded space to customize rather than an all-or-nothing choice.
- Adds permissions tied to roles, brand owner versus team member, recognizing that flexibility needs to be governed, not just offered.
- Requires a preview step before broad application of a modified template, catching off-brand results before they scale.
- Builds in versioning with propagation and changelogs, preventing teams from silently drifting off an outdated brand template.
Common mistakes
- Offering a fully open canvas that lets teams break brand consistency without any locked structure.
- Locking everything so tightly that teams have no meaningful flexibility, defeating the purpose of extensibility.
- Skipping versioning, letting teams silently work from stale templates that no longer match current brand guidelines.
Likely follow-up questions
- How would you handle a team that needs a parameter outside the current editable set?
- What would happen if a brand owner updates a template that teams have already heavily customized?
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
- 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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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