Use case
Industrial ITSM team cleans fields without regressions
Client profile: ITSM team from an industrial group (~1,200 tickets/month). No brand disclosed.
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Context
The team managed hundreds of Jira custom fields created over years. They planned a cleanup initiative: merge duplicate fields, rename critical ones, and remove unused projects.
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Problem
Past changes caused broken dashboards and automation failures. Stakeholders demanded evidence that the next cleanup would not impact reporting or SLAs.
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Implementation
The team ran impact scans for each proposed change, shared reports with governance teams, and updated dependent filters before deployment. Reports were saved for audit and rollback planning.
Proof
Results (estimated)
Example outcomes from a six-week initiative:
- • ~35% faster change approvals thanks to clear dependency reports.
- • ~60% fewer post-change incidents related to filters and dashboards.
- • 100+ impacted assets identified and updated before rollout.
Audit-ready evidence
Decision
Lessons & best practices
- • Run an impact scan for every change request, no exceptions.
- • Save reports in a central library tied to change IDs.
- • Schedule cleanup cycles quarterly using analytics data.
- • Give read-only access to governance teams for transparency.
Plan a safer Jira cleanup
Talk to Stable Point IO about impact analysis, governance, and operational stability.
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