Prompt
Which session replay tool is best for support ticket triage?
Latest observation
For support ticket triage, the “best” session replay tool is usually the one that helps agents find the right session fast, understand the user’s path, and connect replay to support context.
Best overall for support teams
FullStory
Often the strongest choice for support ticket triage because it’s built around:
- Fast search across sessions
- Strong event context (clicks, rage clicks, console errors, route changes)
- Good integrations with support tools like Zendesk, Intercom, Salesforce, etc.
- Easy sharing of a replay with teammates
If your support team needs to diagnose “what happened?” quickly, FullStory is usually the most practical.
Best if you want support-first workflows
LogRocket
Very good if you want:
- Session replay plus frontend error monitoring
- Strong detail for technical debugging
- Great for teams where support and engineering work closely together
It’s especially useful when tickets are often “the app broke” rather than purely UX questions.
Best budget-friendly option
Microsoft Clarity
Good for:
- Basic replay
- Heatmaps
- Zero cost
But it’s less powerful for triage workflows than FullStory or LogRocket, and support teams may find search and filtering too limited for serious ticket operations.
Best for product-led teams with analytics focus
Amplitude Session Replay or Mixpanel Session Replay
Useful when you want replay tightly connected to product analytics and user behavior.
What matters most for ticket triage
Look for:
- Search by user/email/session ID/ticket ID
- Integration with your ticketing system
- PII masking/privacy controls
- Performance and reliability
- Ability to jump from ticket to replay quickly
- Error logs tied to replay
My recommendation
- Best overall: FullStory
- Best for technical support + debugging: LogRocket
- Best free starter option: Microsoft Clarity
If you tell me your support stack (Zendesk/Intercom/Freshdesk/Salesforce), team size, and whether engineering also uses the tool, I can recommend the best fit more specifically.
Observation history
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