Feedback Collection Forms

Performance → Standard
💰 $500

Capture user sentiment post-session, post-course, or after key actions.

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Feedback Collection Forms Module Overview

Overview

The Feedback Collection Forms module is designed to capture user sentiment at critical touchpoints such as after completing a session, course, or key action within an application. This module enables developers to gather valuable insights, enhancing user experience and product development.

Key Features

Benefits

Usage Scenarios

  1. Post-Session Surveys: Collect feedback after user sessions to refine interaction designs.
  2. Course Evaluations: Gather post-course feedback to enhance educational content and delivery methods.
  3. Feature-Specific Input: Request feedback immediately after users engage with key features or updates.
  4. A/B Testing Feedback: Use forms to gather targeted responses during A/B testing phases, aiding in data-driven decision-making.

Integration Notes

This module is a powerful tool for developers aiming to enhance their applications through user feedback, offering both flexibility and robust functionality.

Customizable Form Templates

This feature allows developers to create tailored feedback forms based on specific needs, such as post-session or post-course evaluations. Forms can be designed with multiple question types (e.g., rating scales, open-ended responses) and customized for different user groups.


Automated Data Collection & Validation

The module automatically captures user input and validates responses in real-time to ensure data integrity. This includes checking for required fields, validating numerical ranges, or flagging invalid entries before submission.


Scheduled Feedback Requests

Feedback forms can be scheduled to appear at specific times or after particular actions (e.g., completing a course or triggering an event). This ensures timely and relevant feedback collection without manual intervention.


Integration with Third-Party Services

The module integrates seamlessly with third-party tools like analytics platforms, CRMs, or Learning Management Systems (LMS), enabling developers to sync data and enhance reporting capabilities.


Real-Time Analytics & Reporting

Feedback responses are analyzed in real-time, generating actionable insights. Developers can view aggregated results, create custom reports, and export data for further analysis.


Scoring & Sentiment Analysis

User feedback is scored based on predefined criteria or analyzed using natural language processing (NLP) to determine sentiment (e.g., positive, neutral, negative). This helps developers quickly identify trends and areas for improvement.


User Segmentation

Feedback forms can be customized for specific user segments (e.g., new vs. returning users) based on attributes like demographics, behavior patterns, or preferences. This allows for targeted feedback collection.


Data Export & Import Features

The module supports exporting collected data in formats like CSV or JSON and importing configurations from external sources, ensuring flexibility and ease of use.


Cross-Platform Compatibility

Feedback forms are responsive and compatible with multiple devices (e.g., desktops, tablets, mobile phones), ensuring a seamless user experience across platforms.


Privacy & Security Compliance

The module adheres to data protection regulations like GDPR and CCPA, providing secure storage and transmission of feedback data. It also includes encryption and access controls to safeguard sensitive information.


APIs for Integration

developers can programmatically interact with the module via RESTful APIs or Webhooks, enabling deeper integration with existing systems and workflows.

Feedback Collection Forms Documentation

Overview

The Feedback Collection Forms module is designed to gather user sentiment after specific events such as completing a session, finishing a course, or performing key actions within the application. This module provides APIs for submitting feedback and a corresponding React UI component for form rendering.


API Endpoint (FastAPI)

Description

A POST endpoint to submit user feedback.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel

app = FastAPI()

class Feedback(BaseModel):
    course_id: str
    rating: int
    comment: str
    metadata: dict | None = None

@app.post("/submit-feedback")
async def submit_feedback(feedback: Feedback):
    # Implementation logic here (e.g., save to database)
    return {"message": "Feedback submitted successfully", "feedback_id": "123"}

React UI Component

Description

A simple form component for collecting user feedback.

import React, { useState } from 'react';

interface FeedbackFormProps {
  courseId: string;
  onSuccess?: () => void;
}

const FeedbackForm: React.FC<FeedbackFormProps> = ({ courseId, onSuccess }) => {
  const [rating, setRating] = useState<number>(5);
  const [comment, setComment] = useState<string>("");

  const handleSubmit = async (e: React.FormEvent) => {
    e.preventDefault();
    try {
      await fetch('/submit-feedback', {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json',
        },
        body: JSON.stringify({
          course_id: courseId,
          rating,
          comment,
          metadata: { timestamp: new Date().toISOString() }
        }),
      });
      if (onSuccess) onSuccess();
    } catch (error) {
      console.error('Error submitting feedback:', error);
    }
  };

  return (
    <form onSubmit={handleSubmit} className="feedback-form">
      <div className="rating-stars">
        {[...Array(5)].map((_, index) => (
          <button
            key={index}
            type="button"
            onClick={() => setRating(5 - index)}
            className={index < rating ? 'active' : ''}
          >
            ★
          </button>
        ))}
      </div>
      <textarea
        value={comment}
        onChange={(e) => setComment(e.target.value)}
        placeholder="Share your thoughts..."
        className="form-input"
      />
      <button type="submit" className="submit-button">
        Submit Feedback
      </button>
    </form>
  );
};

export default FeedbackForm;

Data Schema (Pydantic)

Description

The data model for feedback submissions.

from pydantic import BaseModel
from typing import Optional

class Feedback(BaseModel):
    course_id: str
    rating: int  # Valid values: 1-5
    comment: str
    metadata: Optional[dict] = None  # Optional additional information
    
    class Config:
        json_schema_extra = {
            "example": {
                "course_id": "ABC123",
                "rating": 4,
                "comment": "The course was excellent, but the examples could use more details.",
                "metadata": {
                    "timestamp": "2023-10-26T15:30:00Z",
                    "user_id": "USR456"
                }
            }
        }

Summary

This module provides a complete solution for collecting user feedback with:

Technical Documentation for Feedback Collection Forms Module

Summary

The Feedback Collection Forms module captures user sentiment after specific events such as sessions, courses, or key actions within the application. This module is designed to enhance user engagement and provide actionable insights.

Target User

Use Cases

  1. Post-Session Feedback: Collect user opinions after they complete a session.
  2. Post-Course Evaluation: Gather feedback following the completion of training courses.
  3. Net Promoter Score (NPS): Measure customer loyalty using NPS surveys.
  4. In-App Purchase Follow-up: Request feedback after a purchase to understand satisfaction levels.
  5. Support Interaction Feedback: Collect user experiences post-support interaction.
  6. Product Release Feedback: Gather insights after a new product or feature release.

Integration Tips

  1. Single Sign-On (SSO): Integrate with your SSO provider for secure user authentication during feedback submission.
  2. Context Preservation: Preserve session and user context to associate feedback accurately with specific actions or sessions.
  3. API Best Practices: Use RESTful APIs for integration, ensuring proper error handling and response management.
  4. Asynchronous Processing: Implement asynchronous processing to handle high volumes of feedback without impacting performance.
  5. Cross-Platform Compatibility: Ensure compatibility across web, iOS, and Android platforms for a seamless user experience.
  6. Privacy Compliance: Adhere to data protection regulations like GDPR when collecting personal data.
  7. Third-Party Integrations: Consider integrations with tools like Slack or Zendesk for automated notifications of feedback submissions.

Configuration Options

The following configuration options are available to customize the behavior of the Feedback Collection Forms module:

ParameterData TypeDescriptionDefault Value
enableAnonymousFeedbackbooleanAllow users to submit feedback without logging in.false
feedbackFormTemplateIdintegerID of the template used for rendering feedback forms.-
emailIntegrationEnabledbooleanEnable email notifications for new feedback submissions.true
maxResponseTimeintegerMaximum time in minutes allowed for feedback submission.15
enableCustomFieldsbooleanAllow additional custom fields to be included in the feedback form.false
privacyComplianceModestringMode of operation for privacy compliance (e.g., GDPR, CCPA).’GDPR’

Examples

Example 1: Submitting Feedback via API

POST /api/v1/feedback
Content-Type: application/json

{
  "userId": "1234",
  "sessionId": "abc123",
  "courseId": "xyz789",
  "rating": 4,
  "comments": "Great experience!"
}

Example 2: Configuring Feedback Forms

// Configuration for feedback forms
const config = {
  enableAnonymousFeedback: true,
  maxResponseTime: 30,
  emailIntegrationEnabled: false
};

Conclusion

The Feedback Collection Forms module is a powerful tool for gathering user insights. By integrating it with related modules and using the provided configuration options, developers can effectively enhance user engagement and improve application functionality.