Track Feature Usage with Clerk
Understand how users interact with your product
The problem
You built features in your your app app you thought users would love, but you are not sure if they are actually using them. Traditional analytics tell you page views and session duration, but not whether users completed the action that matters.
Product decisions become guesswork. Should you invest more in that feature nobody seems to use? Or is it actually popular but you just cannot see it? You end up relying on user interviews and anecdotes instead of data.
The feedback loop between shipping and learning is too long. You push a feature in your your app codebase, wait weeks for enough data, and by then you have moved on to something else. You lose the connection between what you build and how it performs.
The solution
Quicklog lets you track specific feature interactions in real-time. With a simple HTTP call and a few lines of TypeScript in your webhook handlers, when a user exports a report, runs an analysis, or enables an integration, you see it immediately. You learn how features perform as users discover them.
This is not about tracking everything. Pick the moments that matter. The actions that indicate engagement and value. Watch them happen and build intuition about how people use your your app product.
Correlate feature usage with user segments. Do power users favor certain features? Do new users find the core value quickly? Real-time data helps you answer these questions without waiting for weekly reports.
Why track this?
- See which features drive engagement
- Learn how users discover functionality
- Make product decisions with real data
Quick setup
Handle Clerk webhooks:
import { Quicklog } from '@quicklogio/node'
const quicklog = new Quicklog({ apiKey: process.env.QUICKLOG_API_KEY! })
// Handle Clerk webhooks
app.post('/webhooks/clerk', async (req, res) => {
const payload = req.body
// Log the webhook event
await quicklog.track({
channel: 'features',
event: 'clerk.' + (payload.type || 'event'),
description: 'Clerk webhook received',
metadata: {
provider: 'clerk',
eventType: payload.type,
payload
}
})
// Process the webhook...
await processWebhook(payload)
res.json({ received: true })
})Track Feature Usage as an operational analytics workflow
This guide is built for teams that need actionable saas analytics, not just passive reports. By instrumenting track feature usage in Clerk, you create a reliable signal that product, growth, and support can use in real time.
In Quicklog, these events become part of a shared timeline with user context, channel grouping, and trend visibility. That makes it easier to connect day-to-day operations with larger product analytics saas goals like activation quality, retention improvement, and faster troubleshooting.
If you are evaluating saas analytics tools, this use case is a strong baseline because it combines technical implementation with clear business outcomes. It also supports adjacent workflows such as analytical crm and feature usage analytics without requiring a separate analytics stack.
Ready to track feature usage?
Set up in under 5 minutes. See events in your dashboard instantly.