Anyone who administers Jira or Jira Service Management at a large company knows the problem: a ticket comes in, and you can’t tell at a glance who the requester is, which department they belong to, who their manager is, or where they are located. That data exists, but it is locked in the identity provider, out of reach of Jira.
That is the gap Mindpro Sync solves.
Sync pulls user attributes (job title, department, manager, location, and more) directly from your identity provider (Microsoft Entra ID / Azure AD, Okta, Google Workspace, or OneLogin) into Jira issues and the JSM portal.
In practice, this opens up a few possibilities:
- Immediate context in tickets: the support team sees who the requester is and which department they are in without leaving Jira.
- Automatic approver: the approver field is filled in automatically from the synced hierarchy, with no manual workflow.
- Richer automations and reports: the attributes are available in JQL, filters, automations, and dashboards, so you can segment and automate by manager, location, or department.
- Simpler onboarding: business teams get visibility into the organizational structure right inside the issues.
The app runs 100% on Forge, with data residency, so no data leaves Atlassian’s infrastructure for third parties.
Mindpro Sync is currently rated 5/5 on the Marketplace.
🔗 Mindpro Sync on the Atlassian Marketplace
🔗 mindproapps.com/mindpro-sync
Question for the community: how do you handle user context in JSM tickets today: spreadsheets, homegrown automation, another app? Let’s compare notes in the comments.