Product design question
How would you go about launching a 'no rush' delivery for Instamart at Swiggy?
- Swiggy
- Product design
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Tests product design for a new delivery tier that trades speed for cost savings, requiring a clear incentive structure for both sides.
How to approach it
- Clarify the goal: a no-rush option should let price-sensitive customers save money or gain other value by accepting a longer delivery window.
- Segment on price-sensitive customers ordering non-urgent items, like a routine grocery restock, versus those ordering something needed immediately.
- Identify the mechanism: batch no-rush orders together with nearby deliveries during the same time window to improve delivery efficiency and offer a discount funded by that savings.
- Design the flow: an opt-in flexible-window checkout option offering a delivery discount or loyalty points in exchange for a 2 to 4 hour delivery window instead of instant.
- Define success as opt-in rate for the no-rush option, cost savings per batched delivery, and no drop in customer satisfaction for orders using this tier.
What a strong answer includes
- Names the real underlying mechanism, delivery batching efficiency, that makes a discount economically sustainable rather than just offering one arbitrarily.
- Explicitly separates urgent and non-urgent order intent as the basis for segmenting who this option should target.
- Ties the incentive, discount or points, directly to the cost savings the batching actually creates.
Common mistakes
- Offering a discount for no-rush delivery without any real operational efficiency gain funding it.
- Not addressing which customer segment or order type this feature is actually meant for.
Likely follow-up questions
- How would you set the discount so it's attractive without eroding margin?
- How would you handle a no-rush order that ends up delayed beyond the promised window?
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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