Strategy question
Come up with a strategy to launch Swiggy Go in Kamla Nagar, Delhi.
- Swiggy
- Strategy
- Hard
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What this question tests
Tests hyper local launch strategy: sequencing a delivery service launch in a specific dense urban neighborhood with real constraints.
How to approach it
- Define the local context: Kamla Nagar is a dense, student and family heavy market area in Delhi with high foot traffic.
- Identify the target use case: quick errand and pickup delivery for local shoppers and small merchants in that specific market.
- Propose a launch plan: recruit local delivery partners first, onboard a critical mass of nearby merchants, then market to residents.
- Address density specific advantages, such as short delivery distances enabling fast turnaround as a differentiator.
- Define success: orders per delivery partner per day and merchant repeat usage rate in the first month.
- Confirm with the interviewer whether the launch is merchant led or a broader errand and pickup service.
What a strong answer includes
- Grounds the plan in Kamla Nagar's specific character, a dense market with students and small shops, making short radius fast delivery a real differentiator.
- Sequences supply before demand, onboarding a critical mass of local merchants and delivery partners before marketing broadly to residents.
- Proposes a concrete launch metric, for example a stated number of active merchants and delivery partners within the first month as the readiness signal.
- Suggests a local marketing tactic fitting the area, like partnering with nearby colleges or resident associations rather than broad digital ads.
Common mistakes
- Proposing a generic city wide launch plan that ignores Kamla Nagar's specific density and merchant mix.
- Marketing to consumers before there is enough merchant and delivery partner supply to fulfill demand.
Likely follow-up questions
- How would you decide when the area is ready to expand beyond this one neighborhood?
- What would you do if merchants were slow to onboard?
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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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop