How to handle off-policy requests in Intercom without losing context
Off-policy requests in Intercom: how to get manager approval without leaving the inbox or losing customer context.
Off-policy requests in Intercom: how to get manager approval without leaving the inbox or losing customer context.
A step-by-step guide to requesting approvals from the Intercom inbox, deciding in Slack, and keeping a clear record of who approved what and why.
A support decision audit trail keeps every approval and reason retrievable, not buried in Slack DMs. What to capture and how to build one.
A refund approval workflow routes exceptions to a manager, captures the reason, and stores the record. How to build one your finance team can trust.
Telling agents to use their judgment produces inconsistent refunds and anxious agents. A real policy needs a threshold, an exception path, and a record.
Shoulder-tap approvals — a quick DM, a verbal yes — feel fast but leak manager time, produce inconsistent decisions, and leave no record.
Customer support approval processes: why teams need one for refunds and credits, and how to build an audit trail finance can trust.
DSAT channel setup in Slack: route negative CSAT ratings to a dedicated channel so leads act fast without losing team-wide visibility.
Share any Intercom conversation to a Slack channel or DM it to yourself in a few clicks - from the Supportman Inbox App inside Intercom.
A practical coaching framework that turns rubric scores into conversation evidence, a specific performance gap, deliberate practice, and follow-up.
What every metric in Intercom's dashboards actually measures, which ones are missing or plan-gated, and where the reporting leaves blind spots.
NPS is a single-question survey that measures advocacy potential - whether customers trust your product enough to recommend it to others.
A practical DSAT recovery workflow: detect the rating, review context, acknowledge impact, take ownership, resolve the issue, and capture the root cause.
Create a Slack recognition channel that makes customer praise timely, specific, equitable, and useful—without turning support into a popularity contest.
Create a fair, specific customer-support QA rubric with weighted attributes, observable criteria, real examples, and a repeatable calibration process.