Unit
- Definition: Problem management is the process responsible for managing the lifecycle of all problems. Its primary goal is to prevent incidents from happening and minimize the impact of incidents that cannot be prevented. It involves proactive analysis of incident trends and reactive investigation of major incidents.
- Objectives: Key objectives include reducing the number and severity of incidents, eliminating recurring incidents, and improving overall service availability. By identifying root causes, problem management enables permanent fixes rather than temporary workarounds.
- Scope: Problem management covers all problems, known errors, and workarounds. It applies to both IT infrastructure and applications. The process is triggered by incident patterns, major incidents, or proactive analysis.
- Key Roles: The problem manager oversees the process, while problem analysts investigate individual problems. Subject matter experts provide technical depth. Service desk agents contribute by identifying potential problems from incident data.
- Inputs and Outputs: Inputs include incident data, configuration information, and known error records. Outputs include problem records, known error records, workarounds, RFCs, and management reports.
- Relationship with Incident Management: Incident management restores service quickly, while problem management seeks the underlying cause. A problem record may be created from one or more incidents. If a workaround is found, it is shared with the service desk to speed up future resolution.
- Proactive vs Reactive: Reactive problem management responds to incidents that have occurred. Proactive problem management analyzes trends and seeks to prevent incidents before they happen. Both are necessary for a mature practice.
- Success Factors: Effective problem management requires strong incident data quality, collaboration between teams, a known error database, and management commitment. Metrics such as mean time to resolve (MTTR) for problems and reduction in incident recurrence measure success.
- Problem Classification: Problems can be categorized by severity, priority, and type. Typical classifications include major problems, recurring problems, and single-instance problems. This taxonomy helps teams allocate resources appropriately, escalate critical issues faster, and identify patterns that warrant deeper root cause analysis across multiple services.
- Known Error Database: A known error database stores documented problems with identified root causes and workarounds. This repository enables the service desk to resolve future incidents rapidly. Maintaining and regularly updating the database with accurate information is essential to prevent wasted effort and to ensure that resolution steps remain relevant to the current environment.
- Change Management Integration: Problem management frequently results in requests for change (RFCs) to implement permanent fixes. Close coordination with change management ensures that changes are evaluated, approved, and deployed with minimal risk. This integration reduces the likelihood of new incidents caused by poorly implemented solutions and speeds up the closure of problem records.
- Tools and Automation: Modern ITSM tools provide automated incident correlation, pattern detection, and workflow triggers for problem record creation. Automation reduces manual effort in identifying recurring incidents and associating them with problem records. Machine learning capabilities can even predict potential problem areas by analyzing historical data and alerting teams before incidents occur.
Code Example
YAML
problem_id: PRB-001
title: Database connection pool exhaustion
status: under_investigation
priority: high
assigned_to: database_team
related_incidents:
- INC-1234
- INC-1235
description: Application servers report connection timeouts
root_cause: TBD
workaround: Restart database service temporarilyThis YAML snippet represents a problem record in a typical ITSM tool. Fields include the unique ID, current status, priority, assignment, and linked incidents. The root cause field is initially empty until investigation completes. The workaround provides immediate relief to users.
Quick Revision
- Problem management aims to prevent incidents and minimize impact through root cause analysis.
- It relies on incident data and collaboration among teams to identify underlying causes.
- Key outputs include problem records, known errors, workarounds, and requests for change.
- Both reactive and proactive approaches are essential for a mature process.