Case Study brief: In this challenge you need to simplify the user flows, inputs and overall journey for a newly launched feature
Difficulty: Medium
Skills Evaluated: Analytical Ability, Communication Skills, Prioritization, User Research

The food delivery business has taken a big hit in India due to the Coronavirus. Even now, with the lockdowns partially rolled back, deliveries have yet to pick up to pre-COVID levels.

Amidst this setting, all the players in this space pivoted to P2P and B2C delivery use cases. Swiggy launched what it calls Swiggy Genie (rebranded Swiggy Go), which has 2 user flows:

A - Get anything from any person nearby (very similar to the orginal Dunzo use case)

B - Get anything from a store nearby - since venturing out was not recommended

While the user flows were meant for a specific purpose (help people deal with the lockdowns), they continue to be important & relevant, given delivery from stores still remains a far safer option than venturing out.

That said, Swiggy (as also Zomato) can be considered late entrants to a space that was rather well established, thanks to the much loved Dunzo.

And so, it does seem like there is some catching up that it can do: especially in terms of the user flows

In this challenge, you need to optimize the user flows within Swiggy Genie, so as ensure a far simpler journey for the user. 

You can choose any of the two flows mentioned above (depending on which you feel is more important to Swiggy)

Please note:

  • While user research is not essential, it could help uncover some easy wins
  • Annotated screens are recommended to highlight problem areas


  • Swiggy & Zomato have optimised something that was considered unorgaisned (delivering food), to the point where almost zero ‘text’ inputs were needed from anyone part of the value chain. Swiggy was in-fact the pioneer in terms of ‘setting delivery location’: a flow now common across all delivery apps
  • It is with this background that you must approach this challenge: since Swiggy and its delivery teams are not exactly used to ‘ambiguity’. Text based data is very different from clearly communicated orders for Pizza
  • And while one can always rely on the people involved to ‘call and clarify’, that isn’t exactly why Swiggy became popular

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Note: This challenge is NOT hosted by Swiggy, but is only a learning exercise. However all top solutions will be shared with Swiggy

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