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Supportman puts your Intercom CSAT in Slack, in real time. Bad ratings get their own channel. Friday reports for the team, DMs for each agent. And AI QA that scores every closed conversation — including the ones customers never rated.
Fin doesn't need the same QA rubric as a person. It needs its own, because it fails in different ways.
Andrew "Coach" Rios, on the report that changed how he writes them. A product manager once told him: "Great report. I don't know what to do with it, though." Episode: supportman.io/live-chat/coac…
Steph Hardy (Guru) ran sprints for her CX team and found the real gap wasn't volume data: "There was no actual context, that qualitative context of what's happening on those calls." Episode: supportman.io/live-chat/agil…
Intercom Reports does volume, response time, and CSAT on rated conversations well. Real talk on what it doesn't do:
And once you spot a pattern, there's no built-in path to escalate it. You're back to a manual message.
Seven real gaps, and what to use for each one: supportman.io/field-notes/in…
Meg Palazzolo, building with AI: "Didn't get it right the first time." Episode: supportman.io/live-chat/ai-a…
Alisha Joseph (Savvy Service Pro): "It will never get the intricacies of you, because you're you." Episode: supportman.io/live-chat/lead…
Slack told us about every bad rating. It never told us who was still waiting.
New Supportman.io Dashboard: see who's waiting on your team, grouped by why.
youtube.com/watch?v=fsf7NxKr…
Your Intercom CSAT report is smaller than you think: rated conversations only. Most customers never leave a rating at all.
The split that matters most right now: Fin vs human. Blend them and a Fin regression can hide in your CSAT for weeks.
How to actually measure whether Fin is resolving conversations, not just closing them: supportman.io/field-notes/me…






