Overview

This project analyzes customer reviews collected from the Zomato Google Play Store to uncover customer sentiment, identify recurring pain points, and recommend data-driven product improvements. By combining customer feedback analysis, sentiment categorization, and product thinking, the project demonstrates how raw user reviews can be transformed into actionable business insights and feature recommendations.

Objective

Analyze customer reviews to understand user sentiment.
Identify recurring customer pain points.
Categorize feedback into meaningful themes.
Prioritize issues based on business impact and customer dissatisfaction.
Recommend product improvements backed by data.
Define measurable KPIs to evaluate the success of proposed solutions.

Dataset

Source: Google Play Store Reviews (Zomato)

Review Ratings: 1–5 Stars

Review Segmentation

Theme	Mentions	Negative Sentiment	Priority
Pricing & Charges	2,554	57.5%	High
Delivery Delays	1,653	83.1%	High
Customer Support	1,616	91.8%	High
Refund & Payment	1,170	85.6%	Medium
App / UI Issues	499	33.7%	Medium
Wrong / Missing Orders	397	93.5%	High
Food Quality	329	81.5%	Medium

Overview

Objective

Dataset

Review Segmentation

Key Insights

⭐ Rating Distribution