Every Intercom Release in July 2026: The Complete List
All 25 Intercom releases from July 2026, dated and grouped by product area, with a note on which ones actually need you to change a setting.
All 25 Intercom releases from July 2026, dated and grouped by product area, with a note on which ones actually need you to change a setting.
Ongoing coverage of Intercom releases, filtered down to the ones that change how work reaches your team. Currently covering summer 2026, with the settings worth changing and the numbers to start from.
Use a weekly operating loop—detect, investigate, decide, assign, and verify—to turn customer support metrics into measurable improvement.
Build a balanced support dashboard with volume, responsiveness, resolution, surveyed CSAT, response rate, satisfaction coverage, QA, and DSAT.
When a customer asks for something outside policy, the worst outcomes come from agents deciding alone. Here is how to escalate from inside the Intercom inbox without losing the thread.
A support decision audit trail means every approval, rejection, and reason is stored somewhere retrievable - not in someone's memory, and not in a Slack DM archive. Here is what to capture and how to build one that finance can use.
A refund approval workflow routes exception requests to a manager, captures the reason, and stores the record. Here is how to define your threshold, set up the request path, and keep a log finance can use.
"Use your judgment" sounds like empowerment but produces inconsistent refunds, anxious agents, and customers who get different answers depending on who they reach. A real policy needs a threshold, an exception path, and a record.
The shoulder-tap approval — a quick DM, a verbal yes — feels fast and trustworthy. Measured across a team over months, it is a slow leak of manager time, inconsistent decisions, and records that do not exist.
Most support teams have no formal approval process — refund decisions, credits, and exceptions happen via DM with no record. Here is what a proper workflow needs and how to build one.
Design a weekly report that shows volume, responsiveness, ratings, quality, context, and the one decision your support team should make next.
Team reports diagnose systems. Agent reports support individual development. Learn how to use both without turning support metrics into an unfair ranking.
Weekly support reporting creates a short feedback loop without overreacting to individual tickets. Learn what to review and how to turn it into action.
Learn how to classify DSAT by agent, product, policy, process, tooling, and customer factors—then turn negative ratings into measurable fixes.
A practical DSAT recovery workflow: detect the rating, review context, acknowledge impact, take ownership, resolve the issue, and capture the root cause.
Create a fair, specific customer-support QA rubric with weighted attributes, observable criteria, real examples, and a repeatable calibration process.