Analyze Intercom conversations for support trends in minutes
Import your Intercom conversations → instantly uncover recurring support trends, emerging issues, and the topics draining your team's time
"I've gone through the setup three times and I still can't figure out how to connect my account. The instructions just don't match what I'm seeing."
"I was charged twice this month and I've been waiting four days for someone to fix it. This is really affecting my trust in your service."
"The Slack integration stopped working after your last update and none of our team notifications are coming through anymore."
"I just found out you have an export feature after six months of manually copying data. Why isn't this more obvious anywhere in the app?"
What teams usually miss
A sudden 30% increase in conversations about a specific feature often signals a broken flow, but without trend analysis it looks like normal support noise.
When the same users open multiple tickets on related topics, it usually means the underlying problem was never truly fixed — just temporarily closed.
Certain questions appear so consistently across conversations that they represent a documentation or UX gap your team is unknowingly absorbing as manual work every week.
Decisions you can make from this
Prioritize which help center articles to create or rewrite based on the exact questions appearing most frequently across Intercom threads.
Escalate a specific integration or feature to the engineering backlog with real conversation volume data to justify urgency and business impact.
Redesign a confusing onboarding step after confirming that a high percentage of new user conversations cluster around the same setup friction point.
Build proactive in-app messaging or tooltips triggered at the moments where support data shows users consistently get stuck or reach out for help.
