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Mobile App User Feedback Systems: Collect, Analyze, and Act on Feedback

Apps that actively collect and act on feedback have 2x better retention and 4.5+ star ratings. This guide covers building a comprehensive feedback system.

Why Feedback Matters

  • Identify bugs before they hurt ratings
  • Discover feature requests from power users
  • Measure satisfaction (NPS, CSAT)
  • Reduce churn with proactive support
  • Guide product roadmap
  • Build user loyalty (they feel heard)

Types of Feedback

Solicited Feedback

Proactive collection:
- In-app surveys
- NPS surveys
- Feature satisfaction ratings
- Email surveys
- User interviews
- Beta tester feedback

Advantages:
✓ Targeted questions
✓ Structured data
✓ Measurable metrics

Unsolicited Feedback

User-initiated:
- App Store reviews
- Support tickets
- Social media mentions
- Community forums

Advantages:
✓ Authentic opinions
✓ Identifies pain points
✓ Shows sentiment

In-App Feedback Widget

iOS Implementation

import UIKit

class FeedbackViewController: UIViewController {
  private let feedbackTextView = UITextView()
  private let categoryPicker = UISegmentedControl(items: ["Bug", "Feature", "Other"])
  private let emailField = UITextField()

  override func viewDidLoad() {
    super.viewDidLoad()
    setupUI()
  }

  private func setupUI() {
    title = "Send Feedback"

    // Category
    categoryPicker.selectedSegmentIndex = 0

    // Text area
    feedbackTextView.layer.borderColor = UIColor.systemGray4.cgColor
    feedbackTextView.layer.borderWidth = 1
    feedbackTextView.layer.cornerRadius = 8
    feedbackTextView.font = .systemFont(ofSize: 16)

    // Email
    emailField.placeholder = "Your email (optional)"
    emailField.borderStyle = .roundedRect
    emailField.keyboardType = .emailAddress

    // Submit button
    let submitButton = UIButton(type: .system)
    submitButton.setTitle("Submit Feedback", for: .normal)
    submitButton.addTarget(self, action: #selector(submitFeedback), for: .touchUpInside)

    // Layout
    let stackView = UIStackView(arrangedSubviews: [
      categoryPicker, feedbackTextView, emailField, submitButton
    ])
    stackView.axis = .vertical
    stackView.spacing = 16
    stackView.translatesAutoresizingMaskIntoConstraints = false

    view.addSubview(stackView)
    NSLayoutConstraint.activate([
      stackView.topAnchor.constraint(equalTo: view.safeAreaLayoutGuide.topAnchor, constant: 20),
      stackView.leadingAnchor.constraint(equalTo: view.leadingAnchor, constant: 20),
      stackView.trailingAnchor.constraint(equalTo: view.trailingAnchor, constant: -20),
      feedbackTextView.heightAnchor.constraint(equalToConstant: 150)
    ])
  }

  @objc private func submitFeedback() {
    guard !feedbackTextView.text.isEmpty else {
      showAlert(title: "Error", message: "Please enter your feedback")
      return
    }

    let category = ["Bug", "Feature", "Other"][categoryPicker.selectedSegmentIndex]
    let feedback = Feedback(
      category: category,
      message: feedbackTextView.text,
      email: emailField.text,
      appVersion: Bundle.main.appVersion,
      osVersion: UIDevice.current.systemVersion,
      deviceModel: UIDevice.current.model,
      timestamp: Date()
    )

    FeedbackService.shared.submit(feedback) { [weak self] success in
      DispatchQueue.main.async {
        if success {
          self?.showAlert(title: "Thank You!", message: "Your feedback has been submitted") {
            self?.dismiss(animated: true)
          }
        } else {
          self?.showAlert(title: "Error", message: "Failed to submit feedback")
        }
      }
    }
  }
}

struct Feedback: Codable {
  let category: String
  let message: String
  let email: String?
  let appVersion: String
  let osVersion: String
  let deviceModel: String
  let timestamp: Date
}

class FeedbackService {
  static let shared = FeedbackService()

  func submit(_ feedback: Feedback, completion: @escaping (Bool) -> Void) {
    // Send to your backend API
    guard let url = URL(string: "https://api.yourapp.com/feedback") else {
      completion(false)
      return
    }

    var request = URLRequest(url: url)
    request.httpMethod = "POST"
    request.setValue("application/json", forHTTPHeaderField: "Content-Type")
    request.httpBody = try? JSONEncoder().encode(feedback)

    URLSession.shared.dataTask(with: request) { _, response, error in
      completion(error == nil && (response as? HTTPURLResponse)?.statusCode == 200)
    }.resume()
  }
}

Android Implementation

class FeedbackActivity : AppCompatActivity() {
  private lateinit var binding: ActivityFeedbackBinding

  override fun onCreate(savedInstanceState: Bundle?) {
    super.onCreate(savedInstanceState)
    binding = ActivityFeedbackBinding.inflate(layoutInflater)
    setContentView(binding.root)

    setupUI()
  }

  private fun setupUI() {
    binding.submitButton.setOnClickListener {
      submitFeedback()
    }
  }

  private fun submitFeedback() {
    val message = binding.feedbackEditText.text.toString()
    if (message.isEmpty()) {
      Toast.makeText(this, "Please enter your feedback", Toast.LENGTH_SHORT).show()
      return
    }

    val category = when (binding.categoryGroup.checkedRadioButtonId) {
      R.id.bugRadio -> "Bug"
      R.id.featureRadio -> "Feature"
      else -> "Other"
    }

    val feedback = Feedback(
      category = category,
      message = message,
      email = binding.emailEditText.text.toString(),
      appVersion = BuildConfig.VERSION_NAME,
      osVersion = Build.VERSION.RELEASE,
      deviceModel = Build.MODEL,
      timestamp = System.currentTimeMillis()
    )

    lifecycleScope.launch {
      val success = FeedbackRepository.submitFeedback(feedback)
      if (success) {
        Toast.makeText(this@FeedbackActivity, "Thank you for your feedback!", Toast.LENGTH_SHORT).show()
        finish()
      } else {
        Toast.makeText(this@FeedbackActivity, "Failed to submit feedback", Toast.LENGTH_SHORT).show()
      }
    }
  }
}

data class Feedback(
  val category: String,
  val message: String,
  val email: String,
  val appVersion: String,
  val osVersion: String,
  val deviceModel: String,
  val timestamp: Long
)

NPS (Net Promoter Score)

What is NPS?

Question: "How likely are you to recommend this app to a friend?"
Scale: 0-10

Scoring:
- Promoters (9-10): Loyal enthusiasts
- Passives (7-8): Satisfied but unenthusiastic
- Detractors (0-6): Unhappy users

NPS = % Promoters - % Detractors

Example:
60% Promoters, 10% Detractors = NPS 50

Benchmarks:
- Excellent: 50+
- Good: 30-50
- Acceptable: 0-30
- Poor: < 0

NPS Implementation

iOS:
class NPSViewController: UIViewController {
  private let question = UILabel()
  private let scoreButtons: [UIButton] = (0...10).map { score in
    let button = UIButton(type: .system)
    button.setTitle("(score)", for: .normal)
    button.tag = score
    return button
  }

  override func viewDidLoad() {
    super.viewDidLoad()
    setupUI()
  }

  private func setupUI() {
    question.text = "How likely are you to recommend our app?"
    question.numberOfLines = 0
    question.textAlignment = .center

    let stackView = UIStackView(arrangedSubviews: scoreButtons)
    stackView.axis = .horizontal
    stackView.distribution = .fillEqually
    stackView.spacing = 8

    scoreButtons.forEach { button in
      button.addTarget(self, action: #selector(scoreSelected), for: .touchUpInside)
    }

    // Layout...
  }

  @objc private func scoreSelected(_ sender: UIButton) {
    let score = sender.tag

    // Save response
    AnalyticsService.logNPS(score: score)

    // Follow-up question
    if score >= 9 {
      // Promoter: Ask for review
      requestAppStoreReview()
    } else if score <= 6 {
      // Detractor: Ask why
      showFollowUpQuestion("What could we improve?")
    } else {
      // Passive: Thank and dismiss
      showThankYou()
    }
  }
}

When to show:
- After 7 days of use
- After positive action (achievement)
- Not more than once per 3 months
- Not if user recently left review

Feature Satisfaction Surveys

Micro-Surveys

Context-aware surveys:

After using feature:
"How was your experience with [Feature]?"
😞 😐 🙂 😀

After completing action:
"Did this meet your expectations?"
👍 👎

In-app prompt:
"Quick question: Is [Feature] useful?"
[Yes] [No] [Not sure]

Keep it:
✓ 1-2 questions max
✓ At relevant moment
✓ Easy to dismiss
✓ Not intrusive

CSAT (Customer Satisfaction)

Question: "How satisfied are you with [Feature]?"
Scale: 1-5 stars

Show after:
- Support interaction
- Feature usage
- Purchase completion

CSAT Score = (Positive responses / Total responses) × 100

Target: 80%+ satisfaction

App Store Review Management

Review Monitoring

Tools:
- App Store Connect API
- Google Play Developer API
- AppFollow ($29+/month)
- App Annie (free tier)

Monitor:
- New reviews daily
- Rating changes
- Review sentiment
- Common keywords/complaints

Review Response Strategy

Response guidelines:

1. Respond quickly (< 24 hours)
2. Thank user for feedback
3. Address specific issues
4. Offer solution/help
5. Professional tone
6. No defensive responses

Positive review (5 stars):
"Thank you so much for the kind words! We're thrilled you're enjoying the app. 🎉"

Negative review (1-2 stars):
"We're sorry to hear about your experience. We'd love to help make this right.
Please contact us at [email protected] with more details so we can assist you.
[Issue mentioned] has been fixed in our latest update."

Bug report:
"Thank you for reporting this! We've identified the issue and a fix will be
released in version 2.1 next week. We appreciate your patience!"

Feature request:
"Great suggestion! We've added this to our roadmap and will keep you updated.
Join our community at [link] to vote on features."

Automated Review Requests

iOS - SKStoreReviewController:
import StoreKit

func requestReviewIfAppropriate() {
  // Timing logic
  let launchCount = UserDefaults.standard.integer(forKey: "launchCount")
  let lastReviewRequest = UserDefaults.standard.double(forKey: "lastReviewRequest")
  let daysSinceLastRequest = (Date().timeIntervalSince1970 - lastReviewRequest) / 86400

  // Only ask if:
  // - Used app 10+ times
  // - Haven't asked in 120 days
  // - User has completed positive action
  if launchCount >= 10 && daysSinceLastRequest >= 120 {
    if let scene = UIApplication.shared.connectedScenes.first as? UIWindowScene {
      SKStoreReviewController.requestReview(in: scene)
      UserDefaults.standard.set(Date().timeIntervalSince1970, forKey: "lastReviewRequest")
    }
  }
}

// Trigger after positive moments:
- Completed first task successfully
- Reached milestone
- Positive feedback given
- Achievement unlocked

Feature Request System

Public Roadmap

Tools:
- Canny ($79+/month)
- ProductBoard ($20+/user/month)
- Trello (free)
- GitHub Discussions (free)

Features:
✓ Users submit ideas
✓ Upvoting system
✓ Status tracking (Planned, In Progress, Shipped)
✓ Comments/discussion
✓ Admin moderation

Benefits:
- Transparent development
- User engagement
- Prioritization data
- Reduced support tickets (users see it's planned)

Feature Voting

Implementation:

In-app "Request Feature" button
→ Opens feature request form
→ Submit to backend
→ Display in roadmap
→ Users can upvote

Prioritization:
Priority Score = (Upvotes × Weight) + (Team Score)

Where:
- Upvotes: Community interest
- Weight: User segment (paid users = 3x, free = 1x)
- Team Score: Strategic importance (0-10)

User Interviews

Recruiting Interviewees

In-app recruitment:
"Help us improve! Get 1 month free premium for a 30-minute call."

Criteria:
- Power users (high engagement)
- Recent churned users (why they left)
- Target persona
- Diverse user segments

Incentives:
- Premium subscription
- Gift cards ($25-100)
- Early access to features
- Swag

Interview Questions

User behavior:
1. Walk me through how you use the app
2. What problem does it solve for you?
3. How often do you use it?
4. What alternatives have you tried?

Pain points:
5. What frustrates you most?
6. What feature do you wish existed?
7. What almost made you uninstall?

Value:
8. What do you love about the app?
9. Would you recommend it? Why/why not?
10. What would make it a 5-star app?

Document:
- Record (with permission)
- Take notes
- Identify patterns across interviews

Feedback Analysis

Categorization

Tag feedback:
- Bug reports
- Feature requests
- UX improvements
- Performance issues
- Pricing feedback
- Support issues
- Praise

Priority levels:
- P0: Critical (app broken)
- P1: Important (affects many users)
- P2: Nice to have
- P3: Future consideration

Sentiment Analysis

Automated sentiment:
- Positive: 😀 (4-5 stars)
- Neutral: 😐 (3 stars)
- Negative: 😞 (1-2 stars)

Tools:
- MonkeyLearn API
- Google Cloud Natural Language
- Custom ML model

Track sentiment over time:
Week 1: 70% positive
Week 2: 65% positive → Investigate drop
Week 3: 75% positive → Improvement working

Feedback Dashboard

Metrics to track:
- Total feedback volume
- Sentiment breakdown
- Top issues (by frequency)
- Feature request votes
- NPS score trend
- Review rating average
- Response rate
- Time to resolution

Tools:
- Tableau/Looker (data viz)
- Custom admin panel
- Notion database

Acting on Feedback

Closing the Loop

When you fix something:

1. Update user who reported it
   Email: "Good news! The [issue] you reported has been fixed in v2.3."

2. Post public update
   "Based on your feedback, we've added [feature]!"

3. Mention in release notes
   "Fixed: [Bug] as reported by users"

4. Thank contributors
   In-app: "Special thanks to [users] for feedback"

Shows users their voice matters → Increased engagement

Product Roadmap Integration

Feedback → Roadmap flow:

1. Collect feedback → Database
2. Categorize and tag → Feature requests
3. Aggregate and prioritize → Top 10 requests
4. Evaluate feasibility → Engineering estimate
5. Add to roadmap → Q2 2025 target
6. Build and ship → Release v2.5
7. Announce to users → Email campaign
8. Measure impact → Retention +15%

Repeat monthly

Support Integration

Help Center

Self-service support:
- FAQ section
- Video tutorials
- Search functionality
- Troubleshooting guides
- Contact form

Tools:
- Zendesk ($19+/agent/month)
- Intercom ($74+/month)
- Help Scout ($20+/user/month)
- Notion (DIY, free)

Live Chat

In-app chat widget:
- Real-time messaging
- Canned responses
- Ticket creation
- User context (app version, device)

Tools:
- Intercom
- Zendesk Chat
- Drift
- Crisp

Response time:
- Target: < 2 hours
- Excellent: < 30 minutes

Feedback Metrics

Response Rate

Survey Response Rate:
= Responses / Surveys Shown × 100

Target: 5-15%

Improve with:
- Shorter surveys (1-2 questions)
- Better timing (after positive action)
- Incentives (chance to win gift card)

Resolution Time

Average Resolution Time:
= Total time to resolve / Number of issues

Target:
- P0: < 24 hours
- P1: < 3 days
- P2: < 2 weeks

Track: Issue creation date → Closed date

Privacy Considerations

Data Collection

Collect with consent:
- Email (optional)
- Device info (for bug context)
- App version
- Feedback text

Don't collect:
- Personal info (unless volunteered)
- Location
- Sensitive data

Privacy policy:
- State what data is collected
- How it's used
- Retention period
- User rights

Feedback Best Practices

Dos

  • ✅ Make feedback easy (1 tap away)
  • ✅ Respond to all feedback
  • ✅ Act on common requests
  • ✅ Close the loop with users
  • ✅ Monitor trends over time
  • ✅ Thank users for feedback

Don'ts

  • ❌ Ignore negative feedback
  • ❌ Survey too frequently (fatigue)
  • ❌ Make surveys too long (> 3 questions)
  • ❌ Defensive responses to reviews
  • ❌ Collect feedback without acting
  • ❌ Hide feedback channels

Feedback Tools Comparison

Surveying

  • Typeform: Beautiful surveys ($25+/month)
  • SurveyMonkey: Full-featured ($25+/month)
  • Google Forms: Simple, free
  • Qualtrics: Enterprise ($1,500+/year)

In-App Feedback

  • Instabug: Comprehensive ($49+/month)
  • Apptentive: Mobile-focused (custom pricing)
  • UserVoice: Feature requests ($499+/month)
  • Custom build: Full control, DIY

Conclusion

A robust feedback system is essential for product success. Collect feedback through multiple channels, analyze for patterns, prioritize based on impact, act quickly on critical issues, and always close the loop with users. Users who feel heard become your biggest advocates.

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