Improve Zomato's restaurant discovery and review trust flow for urban diners with dietary constraints with a focused MVP

Problem Statement Description

Product context: Zomato is an Indian food-tech and local commerce company; its products include restaurant discovery, reviews, food delivery, dining, ads, restaurant partner tools, and quick commerce through Blinkit.

Zomato helps urban diners discover restaurants, evaluate menus, read reviews, and decide whether to dine out, reserve a table, or order food. For diners with dietary constraints—such as vegetarian, vegan, Jain, gluten-free, allergies, religious restrictions, or fitness-driven diets—the discovery journey is higher-stakes because a wrong choice can lead to wasted time, poor experiences, health risk, or loss of trust.

Today, these users may need to scan menus manually, interpret inconsistent restaurant tags, read through many reviews, call the restaurant, or rely on uncertain photos and comments to verify whether a place truly fits their needs. Review trust is also challenging when reviews are generic, outdated, incentivized, or do not mention dietary details. Sponsored listings, incomplete menu data, and restaurant-side data freshness can further make the experience feel unreliable.

Design a focused MVP to improve Zomato’s restaurant discovery and review trust flow for urban diners with dietary constraints. The MVP should fit within Zomato’s existing discovery, search, restaurant detail, review, booking, and ordering surfaces, while balancing user confidence, restaurant operational burden, data quality, privacy, accessibility, and business outcomes such as booking and order conversion.

The experience should consider:

- The primary user journey from opening Zomato to shortlisting, validating, and choosing a restaurant or dish.

- How users express dietary constraints and how persistent, editable, and private those preferences should be.

- How restaurant, menu, dish, and review information can help users quickly assess fit and confidence.

- How to make reviews more trustworthy and relevant without overwhelming users or restaurants.

- How to handle freshness, ambiguity, sponsored ranking pressure, and conflicting signals.

- What should be included in a focused MVP versus deferred for later iterations.

- How the design supports accessibility, local urban dining behavior, and both dine-in and ordering contexts.

- How success could be reflected in user trust, reduced friction, and improved conversion.

Your goal is to frame the user problem clearly, identify the most important moments of friction, and propose a focused product experience that helps dietary-constrained diners make confident restaurant decisions on Zomato without designing an overly broad or operationally heavy system.