A recurring problem: fixed once and for all
Every Sunday morning users complain the booking system is slow, and the team closes tickets by restarting the service. Tickets get resolved, but the problem stays. This journey shows how repetition becomes a problem record that closes for good.
The journey, step by step
Click any step or use the buttons to see the ticket status.
- Repetition
47 tickets about the same slowness, each closed by a restart.
Team - Pattern detected
AI assistant and category report show the Sunday-morning cluster.
AI assistant - Problem record
#PRB-0117 linked to all tickets.
Support manager - Known error
Documented workaround visible to L1 immediately.
Systems team - Root cause
A backup job overlapping start of business after a time zone change.
Systems team - Change request
Reschedule the job with risk assessment and approval.
Systems team - Permanent fix
Change applied, two weeks of monitoring.
Systems team - Close & impact
No new tickets; problem closed, article updated.
Support manager
Before and after
| Aspect | Without a system | With TixDesk |
|---|---|---|
| Approach | Fix the symptom each time | Remove the cause |
| Detection | By chance | Reports and AI |
| Until the fix | Team searches again | Known error and workaround |
| The change | Without approval | Approved change request |
| Impact | Not measured | Ticket drop visible |
Features used in this journey
Problem management
The record.
AI assistance
Pattern detection.
Reports
Categories.
Change management
Permanent fix.
Knowledge base
Known error.
Dashboards
Impact.
Questions about this case
How is repetition detected?
Through category and asset reports, an automation rule on repeated reopens, or an AI suggestion.
Do we need a dedicated team?
No, usually a part-time problem manager from an existing team.
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