Product design question
What are the different problems that Instacart would see in their delivery experience? How would you prioritize the problems?
- Instacart
- Product design
- Hard
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What this question tests
Ability to map a full user journey, surface real pain points, and prioritize them with a clear framework.
How to approach it
- Map the delivery journey: order placed, shopper picks items, substitutions happen, delivery arrives, and post-delivery support.
- List concrete problems at each stage: out-of-stock substitutions the customer dislikes, shopper picking wrong or low-quality items, and late or missed delivery windows.
- Prioritize using an impact versus frequency framework, weighing how many orders each problem touches against how much it hurts trust.
- Rank substitutions as the top issue, since it happens on nearly every order and directly affects satisfaction and refund rates.
- Propose next steps for the top problem, like a pre-approved substitution preference set by the customer before shopping begins.
What a strong answer includes
- Names substitutions specifically as the highest-frequency pain point, not a vague 'delivery issues' bucket.
- Uses a two-axis framework (frequency and severity) to justify the ranking instead of a gut-feel list.
- Gives an illustrative number, e.g. 30% of orders including at least one substitution, marked as an assumption.
- Proposes a concrete fix, letting customers set substitution rules in advance, tied directly to the top-ranked problem.
Common mistakes
- Listing many problems with no prioritization framework or ranking.
- Focusing only on delivery lateness while ignoring higher-frequency issues like substitutions.
Likely follow-up questions
- How would you measure whether your fix actually improved satisfaction?
- What would you do if shoppers pushed back on stricter substitution rules?
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More questions from Instacart
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