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Reimagining Home-Cooked Meals for Busy Urban Life – A Product Design Case Study

Crafting an app to simplify discovering and subscribing to home-cooked mealsfrom local nearby kitchens.

Role

Product Designer

Project Type

Mobile App

Timeline

4 Weeks

Tools

Figma, Webflow, Chat GPT, G Meet
Two smartphones displaying a food delivery app with meal options, categories, and search functionality on a light yellow gradient background.

Story Behind the project

Few Months ago one of my friends moved to another city for studies and Recently we had conversation about some problems he was facing. And he mentioned some common issues with food, Because of a busy life, He don’t have time and skill to cook for himself, He tired subscribing to a tiffin service but it turned out to be a really bad experience — the food quality was inconsistent, often unhealthy and hygiene was really poor.

After hearing about the problem I took a challenge to..

Tackle the daily struggle of finding reliable, home-style meals by creating an app that simplifies access to freshly cooked, affordable food — offering flexible plans that bring convenience, comfort, and consistency to everyday dining.

1. Research

Primary Research

I spoke with a mix of students, early-career professionals (freshers), friends living away from home, and solo residents in metro cities. Through 1:1 interviews, I aimed to validate my assumptions and understand their daily challenges, uncovering key pain points and gaps in existing solutions. I asked about how they decide their daily meals, what matters most to them, how they found their current tiffin service, and their overall habits and living expenses.

Collage of video call screenshots with a young man and various participants, titled Primary Research about talking to potential users like students and working professionals.
User Interviews

To ensure the qualitative insights were representative and scalable, I augmented the 1:1 interviews with a short user survey distributed to a broader audience. This mixed-methods approach was crucial for identifying statistical patterns and validating the prevalence of the pain points discovered in the interviews. This process also gave me valuable insights, listed below.

Two smartphones displaying a food delivery app with meal options, categories, and search functionality on a light yellow gradient background.