Heap captures every click, page view, and scroll automatically. You do not need to tag events in advance. Connect it to your FeatureOS portal and you get a complete picture of what users do before, during, and after they submit feedback.
A customer submits a vague bug report. Instead of guessing what they meant, your team checks Heap to see what the user actually did. What pages did they visit? Where did they click? Did they struggle with a specific flow before filing the report? That context changes how you prioritize and respond.
What Heap Tracks on Your FeatureOS Portal#
When Heap runs on your FeatureOS portal, it captures everything automatically:
- User journeys before feedback: Every page view, click, and scroll leading up to a post submission. This reveals whether feedback reflects a one-time frustration or a recurring pattern.
- Drop-off points: If users consistently leave a particular page and then submit feedback asking for changes, you can validate the problem in Heap's data.
- Behavioral segments: Create segments in Heap like "users who visited pricing but did not upgrade" and cross-reference with the feedback those users left in FeatureOS.
- Feature adoption after shipping: After you release a feature that was requested in FeatureOS, Heap shows whether adoption improved and whether related feedback decreased.
How to Connect Heap to FeatureOS#
- In FeatureOS, go to Dashboard > Settings > Integrations.
- Find Heap Analytics.
- Enter your Heap app ID. You can find this in your browser URL when logged into Heap (it is the ID portion of
https://heapanalytics.com/app/env/<id>/...). - Click Update.
Heap begins capturing behavioral data for your portal immediately. View insights in your Heap dashboard alongside your other products and sites.
How Teams Use Heap with FeatureOS#
Product managers connect user behavior with feedback trends for sharper prioritization. When 50 users request the same feature, Heap shows whether they share common usage patterns. Developers replay the exact steps leading to bug reports instead of guessing. Growth teams see which friction points generate the most requests. Support teams check a user's Heap session to understand the full context behind vague feedback before responding.
