Customer Sentiment App Backend Template
NPS Tracking and Feedback Aggregation
A production-ready customer sentiment backend on Back4app with users, surveys, responses, and feedback. Includes ER diagram, data dictionary, JSON schema, API playground, and an AI Agent prompt for rapid bootstrap.
Key Takeaways
This template gives you a customer sentiment backend with users, surveys, responses, and feedback so your team can focus on gathering and analyzing customer insights.
- User-centric schema design — Model users with profiles and survey responses in clear, queryable structures.
- Real-time feedback collection — Use Back4app's real-time capabilities for survey responses and feedback updates.
- NPS tracking — Track Net Promoter Scores with aggregated survey responses.
- Survey and response features — Allow users to participate in surveys and provide feedback seamlessly.
- Cross-platform sentiment backend — Serve mobile and web clients through a single REST and GraphQL API for users, surveys, responses, and feedback.
What Is the Customer Sentiment App Backend Template?
Back4app is a backend-as-a-service (BaaS) for fast product delivery. The Customer Sentiment App Backend Template is a pre-built schema for users, surveys, responses, and feedback. Connect your preferred frontend (React, Flutter, Next.js, and more) and ship faster.
Best for:
Overview
A customer sentiment product needs user profiles, surveys, responses, and feedback.
This template defines User, Survey, Response, and Feedback with real-time features and ownership rules so teams can implement sentiment analysis quickly.
Core Customer Sentiment Features
Every technology card in this hub uses the same customer sentiment backend schema with User, Survey, Response, and Feedback.
User profiles and surveys
User class stores username, email, password, and survey participation.
Survey creation and management
Survey class links title, description, and timestamps.
Responding to surveys
Response class stores survey reference, user, score, and feedback.
Feedback management
Feedback class tracks user comments and suggestions.
Why Build Your Customer Sentiment Backend with Back4app?
Back4app gives you user, survey, response, and feedback primitives so your team can focus on gathering insights and improving customer satisfaction instead of infrastructure.
- •User and survey management: User class with profile fields and survey class for feedback management supports sentiment analysis.
- •Response and feedback features: Manage responses with scores and allow users to provide detailed feedback easily.
- •Realtime + API flexibility: Use Live Queries for feedback updates while keeping REST and GraphQL available for every client.
Build and iterate on customer sentiment features quickly with one backend contract across all platforms.
Core Benefits
A customer sentiment backend that helps you iterate quickly without sacrificing structure.
Rapid feedback launch
Start from a complete user, survey, and response schema rather than designing backend from zero.
Real-time feedback support
Leverage real-time feedback and updates for enhanced customer insights.
Clear feedback flow
Manage user feedback with detailed comments and suggestions for improvement.
Scalable permission model
Use ACL/CLP so only users can edit their profiles and responses, and manage feedback submissions.
Survey and response data
Store and aggregate survey responses and feedback for display and analysis without schema resets.
AI bootstrap workflow
Generate backend scaffolding and integration guidance fast with one structured prompt.
Ready to launch your customer sentiment app?
Let the Back4app AI Agent scaffold your customer sentiment backend and generate users, surveys, responses, and feedback from one prompt.
Free to start — 50 AI Agent prompts/month, no credit card required
Technical Stack
Everything included in this customer sentiment backend template.
ER Diagram
Entity relationship model for the customer sentiment backend schema.
Schema covering users, surveys, responses, and feedback.
View diagram source
erDiagram
User ||--o{ Survey : "creator"
User ||--o{ Feedback : "user"
User ||--o{ Response : "user"
Survey ||--o{ Feedback : "survey"
Survey ||--o{ NPS : "survey"
Survey ||--o{ Response : "survey"
User {
String objectId PK
String username
String email
String password
String profilePicture
Date createdAt
Date updatedAt
}
Survey {
String objectId PK
String title
String description
Date createdAt
Date updatedAt
}
Feedback {
String objectId PK
Pointer survey FK
Pointer user FK
String content
Date createdAt
Date updatedAt
}
NPS {
String objectId PK
Pointer survey FK
Number score
Date createdAt
Date updatedAt
}
Response {
String objectId PK
Pointer survey FK
Pointer user FK
Array answers
Date createdAt
Date updatedAt
}
Integration Flow
Typical runtime flow for auth, user profiles, surveys, responses, and feedback.
View diagram source
sequenceDiagram
participant User
participant App as Customer Sentiment App
participant Back4app as Back4app Cloud
User->>App: Login
App->>Back4app: POST /login
Back4app-->>App: Session token
User->>App: View available surveys
App->>Back4app: GET /classes/Survey
Back4app-->>App: List of surveys
User->>App: Submit feedback
App->>Back4app: POST /classes/Feedback
Back4app-->>App: Feedback objectId
User->>App: Submit NPS score
App->>Back4app: POST /classes/NPS
Back4app-->>App: NPS objectIdData Dictionary
Full field-level reference for every class in the customer sentiment schema.
| Field | Type | Description | Required |
|---|---|---|---|
| objectId | String | Auto-generated unique identifier | Auto |
| username | String | User login name | |
| String | User email address | ||
| password | String | Hashed password (write-only) | |
| profilePicture | String | URL of the user's profile picture | — |
| createdAt | Date | Auto-generated creation timestamp | Auto |
| updatedAt | Date | Auto-generated last-update timestamp | Auto |
7 fields in User
Security and Permissions
How ACL and CLP strategy secures users, surveys, responses, and feedback.
User-owned profile controls
Only the user can update or delete their profile; others cannot modify user content.
Survey and response integrity
Only the author can create or delete their surveys and responses. Use Cloud Code for validation.
Scoped read access
Restrict survey and response reads to relevant parties (e.g. users see their own surveys and public feedback).
Schema (JSON)
Raw JSON schema definition ready to copy into Back4app or use as implementation reference.
{
"classes": [
{
"className": "User",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"username": {
"type": "String",
"required": true
},
"email": {
"type": "String",
"required": true
},
"password": {
"type": "String",
"required": true
},
"profilePicture": {
"type": "String",
"required": false
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "Survey",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"title": {
"type": "String",
"required": true
},
"description": {
"type": "String",
"required": false
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "Feedback",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"survey": {
"type": "Pointer",
"required": true,
"targetClass": "Survey"
},
"user": {
"type": "Pointer",
"required": true,
"targetClass": "User"
},
"content": {
"type": "String",
"required": true
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "NPS",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"survey": {
"type": "Pointer",
"required": true,
"targetClass": "Survey"
},
"score": {
"type": "Number",
"required": true
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "Response",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"survey": {
"type": "Pointer",
"required": true,
"targetClass": "Survey"
},
"user": {
"type": "Pointer",
"required": true,
"targetClass": "User"
},
"answers": {
"type": "Array",
"required": false
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
}
]
}Build with AI Agent
Use the Back4app AI Agent to generate a real customer sentiment app from this template, including frontend, backend, auth, and user, survey, response, and feedback flows.
Create a customer sentiment app backend on Back4app with this exact schema and behavior. Schema: 1. User (use Back4app built-in): username, email, password; objectId, createdAt, updatedAt (system). 2. Survey: title (String, required), description (String); objectId, createdAt, updatedAt (system). 3. Response: survey (Pointer to Survey, required), user (Pointer to User, required), score (Number, required), feedback (String); objectId, createdAt, updatedAt (system). 4. Feedback: user (Pointer to User, required), content (String, required); objectId, createdAt, updatedAt (system). Security: - Only the user can update/delete their profile. Only the author can create/delete their surveys and responses. Use Cloud Code for validation. Auth: - Sign-up, login, logout. Behavior: - List users, create surveys, respond to surveys, provide feedback, and manage responses. Deliver: - Back4app app with schema, ACLs, CLPs; frontend for user profiles, surveys, responses, and feedback.
Press the button below to open the Agent with this template prompt pre-filled.
This is the base prompt without a technology suffix. You can adapt the generated frontend stack afterward.
API Playground
Try REST and GraphQL endpoints against the customer sentiment schema. Responses use mock data and do not require a Back4app account.
Uses the same schema as this template.
Choose Your Technology
Expand each card for integration steps, state patterns, data model examples, and offline notes.
Flutter Customer Sentiment Backend
React Customer Sentiment Backend
React Native Customer Sentiment Backend
Next.js Customer Sentiment Backend
JavaScript Customer Sentiment Backend
Android Customer Sentiment Backend
iOS Customer Sentiment Backend
Vue Customer Sentiment Backend
Angular Customer Sentiment Backend
GraphQL Customer Sentiment Backend
REST API Customer Sentiment Backend
PHP Customer Sentiment Backend
.NET Customer Sentiment Backend
What You Get with Every Technology
Every stack uses the same customer sentiment backend schema and API contracts.
Unified customer sentiment data structure
A pre-built database schema for managing users and feedback.
Real-time feedback collection for customer sentiment
Instantly gather and analyze customer sentiments through surveys.
Secure sharing for customer sentiment
Safeguard sensitive user data with robust access controls.
REST/GraphQL APIs for customer sentiment
Flexible APIs to fetch and manipulate data seamlessly.
Customizable survey templates for customer sentiment
Easily create and modify surveys to suit your needs.
Analytics dashboard for customer sentiment
Visualize customer feedback trends and insights in real-time.
Customer Sentiment Framework Comparison
Compare setup speed, SDK style, and AI support across all supported technologies.
| Framework | Setup Time | Customer Sentiment Benefit | SDK Type | AI Support |
|---|---|---|---|---|
| Rapid (5 min) setup | Single codebase for customer sentiment on mobile and web. | Typed SDK | Full | |
| ~5 min | Fast web dashboard for customer sentiment. | Typed SDK | Full | |
| About 5 min | Cross-platform mobile app for customer sentiment. | Typed SDK | Full | |
| Under 5 minutes | Server-rendered web app for customer sentiment. | Typed SDK | Full | |
| ~3 min | Lightweight web integration for customer sentiment. | Typed SDK | Full | |
| Rapid (5 min) setup | Native Android app for customer sentiment. | Typed SDK | Full | |
| ~5 min | Native iOS app for customer sentiment. | Typed SDK | Full | |
| About 5 min | Reactive web UI for customer sentiment. | Typed SDK | Full | |
| Under 5 minutes | Enterprise web app for customer sentiment. | Typed SDK | Full | |
| Quick (2 min) setup | Flexible GraphQL API for customer sentiment. | GraphQL API | Full | |
| ~2 min | REST API integration for customer sentiment. | REST API | Full | |
| Under 5 min | Server-side PHP backend for customer sentiment. | REST API | Full | |
| About 5 min | .NET backend for customer sentiment. | Typed SDK | Full |
Setup time reflects expected duration from project bootstrap to first survey query using this template schema.
Frequently Asked Questions
Common questions about building a customer sentiment backend with this template.
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