Overview: Why Rage Clicks Matter
User frustration is rarely reported, but often visible. One of the most common signs of friction in a product is the rage click: when a user clicks repeatedly on a button, link, or element that doesn’t respond the way they expect.
These rage clicks signal confusion, broken functionality, or mismatched expectations, but unless users go out of their way to contact support (let’s face it, they usually don’t!), you’ll never know what went wrong.
Sure, there’s analytics, but they do not specify the real problem, just that there is a problem. With Encatch, you can detect rage clicks and trigger contextual, in-app feedback prompts to capture the user's thoughts in the moment, without further1 interrupting their flow.
Implementation Guide: How to Set Up Rage Click Feedback with Encatch
Step 1: Create the Feedback Prompt in the Admin Panel
Start by defining the feedback you want to collect:
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Go to Admin Dashboard → Manage Feedbacks
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Create a new feedback entry and name it something like "Rage Click Feedback"
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Build a survey from scratch or choose from our readily available templates
-
Or here’s something you could use
“Woah..seems like you hit a roadblock, facing any issue?” (Too casual?) Options: Button not working / Didn’t load / Expected something else /Nah..I just like to click multiple times/ Other(with text input)
- Save and note the Feedback ID generated
💡 Pro Tip: You can also localize the prompt or A/B test versions at this stage.
Step 2: Upload the Code Snippet to Your Application
Embed the feedback widget script where you want it to run typically just before the closing </body> tag of your site or inside your mobile app’s webview wrapper.
<script src="https://cdn.yourfeedbacktool.com/widget.js"></script>
✅ This script includes support for rage click tracking, multi-language support, and contextual metadata injection.
Add the below code
function showToast(title, message, duration = 4000) {
// Remove existing toast if any
const existingToast = document.querySelector('.toast');
if (existingToast) {
existingToast.remove();
}
// Create toast element
const toast = document.createElement('div');
toast.className = 'toast';
toast.innerHTML = `
<button class="toast-close">×</button>
<div class="toast-header">
<span class="toast-icon">🔥</span>
<span>${title}</span>
</div>
<div class="toast-body">${message}</div>
`;
// Add to DOM
document.body.appendChild(toast);
// Show toast with animation
setTimeout(() => toast.classList.add('show'), 100);
// Close button functionality
const closeBtn = toast.querySelector('.toast-close');
closeBtn.addEventListener('click', () => {
toast.classList.remove('show');
setTimeout(() => toast.remove(), 500);
});
// Auto remove after duration
setTimeout(() => {
if (toast.parentNode) {
toast.classList.remove('show');
setTimeout(() => toast.remove(), 500);
}
}, duration);
}
// Rage click detection
const clickTracker = new WeakMap();
function detectRageClick(event) {
const element = event.target;
const currentTime = Date.now();
// Get or initialize click history for this element
if (!clickTracker.has(element)) {
clickTracker.set(element, []);
}
const clickHistory = clickTracker.get(element);
// Add current click timestamp
clickHistory.push(currentTime);
// Remove clicks older than 500ms
const cutoffTime = currentTime - 500;
const recentClicks = clickHistory.filter(timestamp => timestamp >= cutoffTime);
// Update the history with only recent clicks
clickTracker.set(element, recentClicks);
// Check for rage click (3+ clicks in 500ms)
if (recentClicks.length >= 3) {
const timespan = recentClicks[recentClicks.length - 1] - recentClicks[0];
const buttonText = element.textContent || element.value || 'Unknown Button';
// Add visual feedback
element.classList.add('rage-detected');
setTimeout(() => element.classList.remove('rage-detected'), 500);
// Show toast notification
showToast(
'RAGE CLICK DETECTED!',
`You clicked "${buttonText}" ${recentClicks.length} times in ${timespan}ms. Take a deep breath! 😤`
);
// Also log to console for debugging
}
}
// Add event listener to all buttons
document.addEventListener('click', function(event) {
if (event.target.tagName === 'BUTTON' && event.target.classList.contains('test-button')) {
detectRageClick(event);
}
});
// Welcome message
setTimeout(() => {
showToast('Welcome!', 'Try rapidly clicking any button to see the rage detection in action! 🎯', 3000);
}, 1000);
</script>
</body>
</html>🛠️ You can customize the rage click behavior:
- Restrict it to certain elements via CSS selectors
- Trigger only after login or specific user roles
- Pass user/tenant data for filtering in reports
Step 3: Connect to Your Workflow
Send collected rage click feedback to:
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Your product analytics dashboard for pattern detection (Don’t have one? Or have one? Check out our cool product Enspect anyway)
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Slack (to alert PMs live)
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Jira (to auto-create bug tickets)
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Your CX/Support team for follow-up
Refer to documentation on destination here
Results: Why This Approach Works
By capturing feedback at the exact moment of frustration, you:
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Turn silent drop-offs into actionable insights You’ll know why they didn’t convert, not just that they didn’t
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Reduce Blind Spots in UX Discover bugs, confusing UI elements, or broken flows before they reach customer support.
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Boost trust and empathy with users They feel “heard” when the product notices their struggle
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Prioritize issues with evidence Get data-backed heatmaps + comments to support product decisions. Combine rage click metrics with data-backed heatmaps for solid product decision-making.
Example Use Case: Rage Clicks Reveal Hidden UX Gaps in Report Saving Flow
Problem Statement
Now, let’s say - A mid-size B2B SaaS company has recently launched a new “Save Report” feature on their analytics dashboard. While adoption looks fine in metrics, users aren’t exactly thrilled. Yet support tickets related to the feature are nonexistent!
The product team suspects something was off but have no clear user feedback to act on. Analytics shows heavy use, but qualitative insights are missing.
How Can They Use Encatch here
This is a textbook scenario where rage click detection can step in and reveal what standard analytics cannot.
Using Encatch, the product team could:
-
Create a targeted feedback prompt for frustrated interactions:
“Something didn’t work? Tell us what you were trying to do.”
-
Enable rage click detection by:
- Setting thresholds (e.g., 3+ clicks in 2 seconds)
- Triggering the above prompt dynamically when rage clicks occur
-
Monitor incoming responses via the built-in dashboard or push them to internal tools like Slack, Jira, or Zendesk
What They Can Expect
By enabling rage click feedback, product teams gain access to:
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Real-time signals of frustration where analytics alone fall short
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Specific, contextual feedback that reveals what users were trying to do
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Actionable insights such as confusion about expected behaviors (e.g., assuming auto-save exists)
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Faster resolution cycles by prioritizing what’s actually frustrating users
The Payoff
Instead of guessing or waiting for support tickets, the team can:
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Proactively fix UX issues before they escalate
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Reduce user effort and friction in critical flows
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Increase user satisfaction and retention
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Free up support teams from handling avoidable complaints
Moral of the story (cause why not?): When users are clicking like their sanity depends on it — your product should be listening. Rage click feedback gives you ears where metrics can't.
Conclusion
This use case illustrates how rage click feedback detection helps uncover invisible friction points in your product, especially when users aren't explicitly complaining (but go on a warrior mode with the button).
Users won't always tell you what's broken, but their fingers will. Catch the clicks, capture the context, and close the gap.
Ready to Capture Frustration Before It Becomes Churn?
Rage click detection is one of the fastest ways to understand silent pain points in your product and turn them into powerful improvements.
Get Started: Set Up Rage Click Feedback with Encatch Now
Footnotes
-
Rage click already denotes interruption in the flow(ironic). ↩