Case Study — Mobile

Feedo

A comprehensive feedback collection and customer satisfaction platform. It allows businesses to deploy surveys, perform automated sentiment analysis, and visualize user analytics via a dynamic dashboard.

Project Overview

Feedo is a business-to-business mobile-first feedback platform. It enables companies to generate customizable satisfaction feedback surveys on the fly and monitor responses in real-time. By leveraging Socket.IO, customer support teams can view responses as they hit the database, instantly triggering follow-up notifications for unsatisfied clients. Feedo also includes offline sync capabilities using AsyncStorage, allowing sales reps to record feedback during trade shows without internet connectivity.

Key Features & Scope

Offline survey mode with automatic queue-based local storage sync

Natural language processing backend identifying customer sentiment

Real-time feedback dashboard widgets displaying live NPS scores

Custom survey builder supporting multiple input types (Likert scale, text, NPS)

System Architecture

A cross-platform app developed with React Native and Expo, styled using NativeWind (Tailwind CLI for mobile). The app talks to a high-performance NestJS backend through both REST endpoints and WebSockets (Socket.IO). Data analytics are aggregated asynchronously via background workers, saving main database execution threads.

Client InterfaceReact Native / Expo
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Backend CoreNestJS API
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Database NodeMongoDB & Redis Caching
Database: MongoDB & Redis Caching
Deployment: Heroku & Vercel

Biggest Challenge & Resolution

The Challenge

Collecting customer feedback at low-connectivity trade shows and retail stores resulted in data loss, and standard surveys failed to highlight urgent customer complaints for support teams.

The Resolution

Developed an offline-first sync queue using React Native AsyncStorage that stores survey submissions locally and syncs them automatically when connection is restored. Integrated a NestJS NLP sentiment analysis pipeline that flags negative responses and alerts support agents via Socket.IO instantly.

App Startup Time1.2s
JS Bundle Size4.2 MB
Crash-Free Rate99.98%
Render Frame Rate60 FPS
Verified Production Metrics
React NativeExpo SDK 54TypeScriptNativeWindNestJSMongoDBSocket.IOJest

Keywords and concepts covered in this project case study:

Feedo Mobile Survey AppReact Native Offline SyncExpo customer feedback dashboardNestJS sentiment analysis NLPReal-time NPS tracker socket.io

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