Product design question
Linear wants to add one AI-assisted workflow next for product and engineering teams. Which workflow would you prioritize first, such as issue triage, planning, or summarization, and how would you decide using user pain, frequency, trust/risk, competitive gaps, and fit with Linear’s product principles?
- Linear
- Product design
- Hard
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What this question tests
Tests prioritizing among several AI-assisted workflow candidates using pain, frequency, trust and risk, competitive positioning, and fit with a specific product's design philosophy.
How to approach it
- List candidates concretely: AI-assisted issue triage (auto-labeling and routing), planning assistance (breaking epics into issues), and summarization (standups or cycle recaps).
- Score each on frequency, triage happens constantly as issues flow in, versus planning, which happens periodically, and summarization, which is often lower-stakes and less frequent.
- Score each on trust and risk: triage errors are low-risk and easily corrected, while planning suggestions that are wrong could waste real team time, a meaningfully higher trust bar.
- Score each on competitive gap: check whether comparable tools already offer strong triage or summarization, since Linear's advantage is differentiated more by doing one thing exceptionally well than by parity features.
- Check fit with Linear's product principles, speed, minimalism, and staying out of the user's way, which favors an assistive, low-friction feature like triage over a heavier planning tool that could feel intrusive.
- Prioritize issue triage as likely the best first bet: high frequency, low risk if wrong, and it fits an assistive, invisible-when-it-works design philosophy.
What a strong answer includes
- Uses four distinct criteria, pain, frequency, trust and risk, and product fit, rather than picking based on which is most exciting to build.
- Flags that planning assistance carries a meaningfully higher trust bar than triage, since a wrong plan wastes real team time.
- Explicitly checks the choice against Linear's stated design philosophy, speed and minimalism, not just feature value in isolation.
- Commits to one workflow, triage, with a clear rationale rather than hedging across all three.
Common mistakes
- Picking summarization because it's easiest to build, without weighing frequency or real user pain.
- Ignoring the different risk profiles of a wrong triage suggestion versus a wrong planning suggestion.
- Proposing a feature that clashes with Linear's minimalist, low-friction product philosophy.
Likely follow-up questions
- How would you validate frequency and pain before committing engineering time?
- What would the second AI workflow be after this one ships?
More product design questions
- You’re evaluating a new feature for Linear’s core planning and execution workflow. Walk through your end-to-end discovery plan: which users you’d interview, what usage data you’d analyze, how you’d align engineers and designers on the problem, and what concrete artifacts or decision gates you’d require before committing to build.Linear · Product design · Hard
- Suppose new teams consistently say Linear’s planning and issue-tracking workflows feel powerful but hard to learn, while existing power users are highly satisfied. How would you redesign the experience to reduce onboarding friction without weakening the speed and flexibility that expert users value? Be explicit about the tradeoffs you’d consider and how you’d validate the changes.Linear · Product design · Hard
- Pick a plausible new capability for Linear and walk through how you would take it from discovery to launch. How would you structure user research and product data analysis, turn the findings into a clear problem statement, align engineering and design on what to build, and decide whether the solution is ready to ship?Linear · 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 Linear
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