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Supportman
DSAT Alerts

Monitor Support Quality in Intercom in Real Time

Traditional support quality monitoring is a retrospective exercise. You review last month's CSAT numbers, identify trends, and coach based on patterns. Real-time monitoring lets you intervene in the moment rather than after the fact.

— Use case —

Traditional quality monitoring

  1. 1Export CSAT data from Intercom Reports monthly for QA review.
  2. 2Sample conversations manually for quality audits.
  3. 3Provide feedback to agents in monthly or quarterly reviews.

The problem: Monthly reviews mean feedback arrives weeks after the conversation. Agents cannot recall context; coaching lacks specificity; the same mistakes recur between review cycles.

— With Supportman —

With Supportman

CSAT ratings post to Slack the moment customers submit them. On Pro and above, AI Evaluation (beta) scores every closed conversation with IQS out of 100 — so coaches see customer sentiment and rubric-based quality the same day.

  1. Connect Supportman to your Intercom workspace and Slack (OAuth, two clicks).
  2. Ratings flow to your Slack channel in real time; enable AI Evaluation to post IQS scores in the conversation thread when conversations close.
  3. Team leads spot patterns across the day and start coaching while the interaction is still fresh.
— In the thread —

Solve it together on the DSAT notification

The alert is not just a ping — it is a Slack message your team can reply to. Context stays in one thread while you decide who owns recovery and what to do next.

  1. 1A DSAT notification lands in your channel with the assignee, customer, emoji rating, remark, and a View Conversation link.
  2. 2Reply in the thread — @mention the assignee, team lead, or CS rep who should own recovery and share what you know.
  3. 3Agree on next steps in Slack first; open Intercom only when someone is ready to reach back out to the customer.
Quick recap

Stop waiting for monthly exports — Supportman gives your team live CSAT in Slack and optional AI scoring on every closed conversation.

— Common questions —

Does Supportman do automated QA scoring?

Yes, on Pro and above. AI Evaluation (beta) scores every closed Intercom conversation against a four-attribute rubric — Brand Voice & Tone, Technical Knowledge, Problem Resolution, Communication — and posts IQS out of 100 in the Slack thread. It complements customer CSAT, which only covers the fraction of customers who rate.

Can I use Supportman alongside a QA tool like Klaus or MaestroQA?

Yes. Those tools handle structured QA sampling and reviewer workflows; Supportman handles real-time CSAT visibility and AI scoring in Slack. They complement each other well.

Connect Slack and Intercom – that's the whole setup.