Swiggy Restaurant Partners: Self-Serve Discount Campaigns Paid by the Restaurant

Quick Overview

A Swiggy product strategy question about building a tool that lets restaurants create and pay for their own promotional offers on a three-sided food-delivery marketplace. It tests balancing restaurants, consumers and riders, designing offer setup and funding flows, measuring incremental orders, and guarding against misleading or loss-making discounts.

Swiggy Restaurant Partners: Self-Serve Discount Campaigns Paid by the Restaurant

Company: Swiggy

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You are a product manager at Swiggy, a food-delivery marketplace with three sides: consumers, delivery riders and restaurants. Design a tool that lets restaurants set up promotional offers, such as percentage discounts, and pay for those offers themselves. ```hint Start from the restaurant's math Work out what a restaurant keeps on a discounted order, and what it would need to see before it trusts a tool with its own money. ``` ### Clarifying Questions - Does Swiggy fund discounts across the platform today, and is this tool meant to replace part of that spend or to add offers on top of it? - Which restaurants come first: large chains, independent restaurants or delivery-only kitchens? - Beyond percentage discounts, which offer types are in scope, and can a restaurant's offer combine with Swiggy's own coupons or membership benefits? - How is the restaurant charged: deducted from its payouts, or paid up front? ### What a Strong Answer Covers - Goals for restaurants, consumers, riders and Swiggy, with the tensions between them made explicit - A chosen restaurant segment and what stops it from running offers well today - The tool's flow end to end, from creating and targeting an offer to funding, settlement and results, with an MVP and what is deferred - How a restaurant learns whether an offer brought orders it would not have had anyway - Success metrics with guardrails, and risks such as misleading offers, dependence on discounts, and kitchens or riders overloaded by a spike ### Follow-up Questions - Two neighboring restaurants keep undercutting each other with deeper discounts. Do you step in, and how? - Should a restaurant-funded offer change where the restaurant ranks in listings and search? Why or why not? - A restaurant raises its menu prices just before launching a large discount. How would the product detect and handle it?

Overview: A Swiggy product strategy question about building a tool that lets restaurants create and pay for their own promotional offers on a three-sided food-delivery marketplace. It tests balancing restaurants, consumers and riders, designing offer setup and funding flows, measuring incremental orders, and guarding against misleading or loss-making discounts.

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Swiggy
Mar 22, 2024
mediumProduct ManagerOtherProduct Design & Strategy
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You are a product manager at Swiggy, a food-delivery marketplace with three sides: consumers, delivery riders and restaurants. Design a tool that lets restaurants set up promotional offers, such as percentage discounts, and pay for those offers themselves.

Clarifying Questions Guidance

  • Does Swiggy fund discounts across the platform today, and is this tool meant to replace part of that spend or to add offers on top of it?
  • Which restaurants come first: large chains, independent restaurants or delivery-only kitchens?
  • Beyond percentage discounts, which offer types are in scope, and can a restaurant's offer combine with Swiggy's own coupons or membership benefits?
  • How is the restaurant charged: deducted from its payouts, or paid up front?

What a Strong Answer Covers Guidance

  • Goals for restaurants, consumers, riders and Swiggy, with the tensions between them made explicit
  • A chosen restaurant segment and what stops it from running offers well today
  • The tool's flow end to end, from creating and targeting an offer to funding, settlement and results, with an MVP and what is deferred
  • How a restaurant learns whether an offer brought orders it would not have had anyway
  • Success metrics with guardrails, and risks such as misleading offers, dependence on discounts, and kitchens or riders overloaded by a spike

Follow-up Questions Guidance

  • Two neighboring restaurants keep undercutting each other with deeper discounts. Do you step in, and how?
  • Should a restaurant-funded offer change where the restaurant ranks in listings and search? Why or why not?
  • A restaurant raises its menu prices just before launching a large discount. How would the product detect and handle it?