Issue Grouping
Automatically detect patterns and group similar support issues.
How It Works
When support emails arrive, ReplyMill analyzes the content and automatically groups similar issues together. Instead of seeing 10 individual emails about a login bug, your team sees one cluster with 10 related reports.
This helps your team spot patterns, prioritize fixes, and avoid responding to each report in isolation.
What Gets Grouped
ReplyMill identifies and groups:
- Bug reports — emails describing the same technical issue (e.g. "app crashes on login", "can't sign in", "login page broken")
- Feature requests — customers asking for the same capability
- Repeated questions — common questions that could be answered with documentation or a template
Viewing Groups
In your ReplyMill dashboard, the Issues view shows all detected groups with:
- A summary of the issue
- The number of related emails
- When the first and last reports were received
- Which customers are affected
In Slack, grouped issues are flagged with a note like: "ReplyMill grouped this with 4 similar reports."
Acting on Groups
When you see a group of related issues, you can:
- Reply to all at once — send a single response to all affected customers (e.g. "We've identified the bug and a fix is rolling out")
- Track resolution — mark the group as resolved when the underlying issue is fixed
- Prioritize by impact — groups with more reports surface higher, helping you focus on what matters most
Accuracy
Issue grouping uses AI to understand the meaning of emails, not just keyword matching. "I can't log in", "login broken", and "app won't let me sign in" are all correctly grouped together.
If a grouping doesn't look right, you can manually ungroup or regroup issues from the dashboard.