ITSM

Incidents

An unplanned disruption to IT services that reduces performance or availability, impacting business operations. Detected through user reports or automated monitoring.

incident management ITSM incidents automation ITIL
Created: December 18, 2025

What Is an Incident?

An incident is defined as any unplanned interruption to an IT service or a reduction in the quality of that service. The ITIL framework describes incidents as events where a service is not functioning as expected or its performance is degraded, impacting users’ ability to carry out normal business activities.

Core Characteristics:

CharacteristicDescription
UnplannedUnscheduled events disrupting normal operations
Service ImpactAny interruption or quality reduction affects business
Detection MethodsUser reports, technical staff, automated monitoring
Prevention FocusCan be reported before SLA breach to minimize impact

Common Incident Examples:

CategoryExamples
InfrastructureServer outages, database crashes, storage failures
NetworkWAN/LAN disruptions, VPN failures, connectivity issues
ApplicationsSoftware crashes, error messages, performance degradation
HardwarePrinter failures, workstation breakdowns, device malfunctions
SecurityMalware infections, unauthorized access, data breaches

Incidents vs. Problems vs. Service Requests

Understanding the distinctions is essential for efficient resource allocation, SLA compliance, and user satisfaction.

Comparison Matrix

AspectIncidentProblemService Request
DefinitionUnplanned service interruption or quality reductionRoot cause of incidentsFormal request for standard change or access
NatureSomething broken or not workingUnderlying cause, often hiddenUser needs resource or information
UrgencyRequires immediate attentionMay not be urgent, needs analysisFollows standard timelines
FocusRapid restorationRoot cause analysis and permanent fixFulfillment per service catalog
SLA MetricResponse and resolution timeTime to permanent solutionFulfillment time
ExamplesServer crash, network outageFaulty router causing repeated outagesPassword reset, software installation
Staff InvolvedService desk, operationsProblem management, specialistsService desk, fulfillment teams
DocumentationIncident ticket with resolutionProblem record with analysisRequest ticket with approval

Classification Decision Tree

Is it unplanned?
    ↓
    Yes β†’ Is service degraded/interrupted?
        ↓
        Yes β†’ INCIDENT
            ↓
            Multiple similar incidents?
                ↓
                Yes β†’ Create PROBLEM record
    ↓
    No β†’ Is it a standard request?
        ↓
        Yes β†’ SERVICE REQUEST

Why Correct Classification Matters

Impact of Misclassification:

IssueConsequenceSolution
Service Requests as IncidentsWasted support resources, missed SLAsClear classification criteria and training
Incidents as Service RequestsDelayed critical issue resolutionAutomated priority assessment
Incidents as ProblemsService restoration delayedFocus on rapid restoration first
Problems as IncidentsRoot cause never addressedPattern recognition and analysis

Incident Management Lifecycle

Complete Process Flow

1. Detection and Logging
    ↓
2. Classification and Categorization
    ↓
3. Prioritization
    ↓
4. Initial Diagnosis
    ↓
5. Escalation (if needed)
    ↓
6. Investigation and Resolution
    ↓
7. Recovery and Validation
    ↓
8. Closure
    ↓
9. Documentation and Review

Stage 1: Detection and Logging

Detection Methods:

MethodDescriptionResponse TimeCoverage
User ReportsService desk tickets, calls, emailsMinutes to hoursKnown issues
Automated MonitoringSystem alerts, performance metricsSeconds to minutesInfrastructure
Proactive DetectionPredictive analytics, anomaly detectionBefore impactEmerging issues

Logging Requirements:

Data ElementPurposeExample
TimestampTrack response time2025-12-18 14:23:15
ReporterContact for updatesjane.smith@company.com
Affected ServiceIdentify scopeEmail System
DescriptionUnderstand issueβ€œCannot send emails, error 550”
Business ImpactDetermine priority200 users affected
SymptomsAid diagnosisTimeout after 30 seconds

Stage 2: Classification and Prioritization

Priority Matrix:

Impact ↓ / Urgency β†’High UrgencyMedium UrgencyLow Urgency
Critical ImpactPriority 1 (P1)Priority 2 (P2)Priority 3 (P3)
High ImpactPriority 2 (P2)Priority 3 (P3)Priority 4 (P4)
Medium ImpactPriority 3 (P3)Priority 4 (P4)Priority 5 (P5)
Low ImpactPriority 4 (P4)Priority 5 (P5)Priority 5 (P5)

Impact Assessment:

LevelUser ImpactBusiness EffectExamples
Critical500+ users or entire serviceRevenue loss, compliance violationCore business system down
High100-500 users or key functionSignificant productivity lossEmail system outage
Medium10-100 users or workaround availableModerate inconvenienceSingle printer failure
LowIndividual user, no workaround neededMinimal impactCosmetic software issue

Urgency Factors:

FactorHighMediumLow
DeadlineImmediate/criticalWithin 24 hoursNo specific deadline
WorkaroundNone availableComplex workaroundEasy workaround
User TypeExecutive, external customerManagement, key staffGeneral staff
Time SensitivityPeak business hoursNormal hoursOff-hours

Stage 3: Initial Diagnosis and Triage

Diagnostic Workflow:

Receive Incident
    ↓
Search Knowledge Base
    ↓
    β”œβ”€β†’ Known Issue? β†’ Apply Solution β†’ Test β†’ Close
    β”‚
    └─→ Unknown? β†’ Perform Basic Troubleshooting
            ↓
            β”œβ”€β†’ Resolved? β†’ Document β†’ Close
            β”‚
            └─→ Unresolved? β†’ Escalate to Specialist

First-Line Support Actions:

ActionPurposeTools
Knowledge Base SearchFind existing solutionsITSM, Wiki
Basic TroubleshootingResolve simple issuesScripts, checklists
Information GatheringAid escalationDiagnostic tools
Workaround ProvisionTemporary reliefKB articles

Stage 4: Escalation

Escalation Types:

TypeTriggerTargetTimeline
FunctionalSpecialized skills neededTechnical teamImmediate
HierarchicalSLA breach riskManagementBefore breach
AutomaticP1/P2 incidentOn-call engineers< 5 minutes
Request-basedUser demandsHigher authorityAs needed

Escalation Criteria:

PriorityFirst EscalationSecond EscalationExecutive Notification
P115 minutes30 minutes1 hour
P21 hour4 hours8 hours
P34 hours1 dayN/A
P41 day3 daysN/A

Stage 5: Investigation and Resolution

Resolution Approaches:

ApproachDescriptionUse CaseTime
Known SolutionApply documented fixRepeated issuesMinutes
WorkaroundTemporary bypassRapid restoration needed< 1 hour
Standard FixCommon resolutionTypical incidentsHours
Custom SolutionNovel resolutionUnique issuesHours to days
Emergency ChangeInfrastructure modificationCritical fixesExpedited

Stage 6: Recovery and Validation

Validation Checklist:

  • Service functionality restored
  • Performance within acceptable parameters
  • User confirms resolution
  • No secondary issues introduced
  • Monitoring shows stable state
  • Documentation updated

Stage 7: Closure and Documentation

Closure Requirements:

RequirementPurposeResponsible Party
User ConfirmationEnsure satisfactionService desk
Resolution DocumentationKnowledge captureResolver
Time LoggingSLA trackingAll involved
Category/Cause RecordingTrend analysisService desk
Follow-up ActionsPrevent recurrenceProblem management

Major Incident Management

Definition and Criteria

Major Incident Characteristics:

CharacteristicDescription
Widespread ImpactAffects 500+ users or critical business function
Revenue ImpactDirect financial loss or compliance risk
Executive InvolvementRequires senior management awareness
Media/Public AttentionPotential reputational damage
Extended DurationLikely to exceed standard SLA

Major Incident Process

Enhanced Workflow:

Major Incident Declared
    ↓
Assemble Incident Response Team
    ↓
Establish Communication Plan
    ↓
↓ (Parallel Activities) ↓
β”‚                        β”‚
Investigation        Communication
β”‚                        β”‚
    ↓                    ↓
Resolution        Status Updates
    ↓                    ↓
Validation        Final Notification
    ↓
Post-Incident Review
    ↓
Lessons Learned Documentation

Major Incident Team Roles

RoleResponsibilitiesSkills Required
Incident ManagerCoordination, decision-making, communicationLeadership, ITSM knowledge
Technical LeadInvestigation, resolution planningDeep technical expertise
Communications LeadStakeholder updates, messagingCommunication, business acumen
Business LiaisonBusiness impact assessmentBusiness knowledge
Support SpecialistsTechnical investigation and fixesSpecialized technical skills

Communication Plan

Stakeholder Update Frequency:

PriorityInternal UpdatesCustomer UpdatesExecutive Updates
P1Every 30 minutesEvery hourEvery 2 hours
P2Every 2 hoursEvery 4 hoursDaily

Communication Templates:

TemplatePurposeKey Elements
Initial NotificationInform of incidentIssue, impact, ETA
Status UpdateProgress reportActions taken, current status, next steps
Resolution NoticeClosure confirmationSolution, validation, follow-up

Automation and AI in Incident Management

Benefits of Automation

BenefitImpactMeasurement
Speed60-80% faster resolutionMTTR reduction
ConsistencyStandardized handlingQuality scores
Scalability24/7 capacityTicket volume handled
Cost EfficiencyReduced labor costsCost per ticket
AccuracyFewer human errorsError rate

AI-Powered Use Cases

1. Intelligent Ticket Routing

Incident Detected/Reported
    ↓
AI Classification
    - Natural Language Processing
    - Historical Pattern Analysis
    - Severity Assessment
    ↓
Automatic Routing
    - Right team
    - Right priority
    - Context included
    ↓
Notification Sent

Technologies:

2. Chatbot First-Line Support

Capabilities:

CapabilityDescriptionSuccess Rate
Intent RecognitionUnderstand user issue85-95%
Knowledge Base SearchFind relevant articles80-90%
Guided TroubleshootingStep-by-step resolution60-70%
Ticket CreationAuto-generate for escalation95%+
Status UpdatesProvide real-time info99%

Example Interaction:

User: "I can't access my email"
Bot: "I'll help you with email access. Let me check a few things:
      1. Can you access other systems? [Yes/No]
      2. What error message do you see? [Describe]"
    β†’ Guides through diagnostics
    β†’ Provides solution or escalates

3. Automated Incident Detection

Detection Methods:

MethodData SourceDetection TypeResponse Time
Threshold MonitoringPerformance metricsExceeds limits< 1 minute
Anomaly DetectionML analysis of patternsUnusual behavior1-5 minutes
Log AnalysisSystem logsError patternsReal-time
Synthetic MonitoringSimulated transactionsService availabilityContinuous

4. Predictive Incident Management

Approach:

Historical Data Collection
    ↓
Pattern Analysis (ML)
    ↓
Risk Prediction
    ↓
Proactive Action
    - Preventive maintenance
    - Resource allocation
    - Early warning

Benefits:

  • Prevent incidents before they occur
  • Reduce mean time between failures (MTBF)
  • Optimize resource planning
  • Improve service availability

Automation Maturity Model

LevelDescriptionAutomation %Characteristics
Level 1: ManualAll manual processes0-10%High labor, slow response
Level 2: AssistedBasic automation support10-30%Some routing, alerts
Level 3: PartialAutomated triage and routing30-50%Chatbots, auto-routing
Level 4: ExtensiveAI-driven resolution50-70%Auto-resolution for common issues
Level 5: AutonomousSelf-healing systems70-90%Predictive and proactive

Best Practices

Organizational Best Practices

1. Clear Escalation Policies

ElementImplementation
CriteriaDocument when to escalate (time, complexity, impact)
PathsDefine escalation hierarchy and contact methods
TrainingRegular drills and role-playing
AuthorityEmpower responders to make escalation decisions

2. Knowledge Management

Knowledge Base Structure:

Knowledge Base
β”œβ”€β”€ Known Errors (Problem Solutions)
β”œβ”€β”€ Workarounds (Temporary Fixes)
β”œβ”€β”€ Standard Procedures (Step-by-step)
β”œβ”€β”€ Troubleshooting Guides (Diagnostic)
└── FAQs (Common Questions)

Quality Criteria:

  • Accurate and tested solutions
  • Clear, step-by-step instructions
  • Regular updates and validation
  • User-friendly language
  • Searchable and well-tagged

3. Communication Standards

Communication Principles:

PrincipleApplication
TimelinessUpdate at defined intervals
ClarityAvoid jargon, be specific
CompletenessInclude impact, actions, timeline
ConsistencyUse templates and standards
AccessibilityMultiple channels (email, SMS, portal)

Technical Best Practices

4. Monitoring and Detection

Monitoring Coverage:

LayerMetricsTools
InfrastructureCPU, memory, disk, networkNagios, Zabbix, Datadog
ApplicationResponse time, errors, availabilityNew Relic, AppDynamics
BusinessTransactions, SLA complianceCustom dashboards
SecurityAccess attempts, vulnerabilitiesSIEM, IDS/IPS

5. Post-Incident Reviews

Review Process:

Incident Closed
    ↓
Review Meeting (within 48 hours)
    ↓
Analyze:
    - Timeline and response
    - Root cause
    - What went well
    - What could improve
    ↓
Action Items:
    - Process improvements
    - Training needs
    - Tool enhancements
    ↓
Document and Share Lessons

Review Questions:

CategoryQuestions
DetectionHow was the incident detected? Could it have been detected earlier?
ResponseWas escalation timely? Were resources adequate?
CommunicationWere stakeholders informed appropriately?
ResolutionWas the fix effective? Could it have been faster?
PreventionWhat can prevent recurrence?

Performance Metrics and KPIs

Key Metrics

MetricDefinitionTargetImportance
MTTRMean Time to Restore/Resolve< 4 hoursService restoration speed
MTTDMean Time to Detect< 5 minutesDetection efficiency
First Contact Resolution% resolved at first touch> 70%Support effectiveness
SLA Compliance% incidents meeting SLA> 95%Service quality
Escalation Rate% requiring escalation20-30%Process efficiency
Reopen Rate% reopened after closure< 5%Resolution quality
Incident VolumeTotal incidents per periodTrend downService stability

Reporting and Dashboards

Executive Dashboard Elements:

ElementPurpose
Critical IncidentsActive P1/P2 incidents
SLA StatusAt-risk and breached SLAs
TrendsVolume, MTTR, category trends
Top IssuesMost common incident types
Team PerformanceResolution rates by team

Challenges and Solutions

Common Challenges

ChallengeImpactSolution
Alert FatigueImportant issues missedTune thresholds, consolidate alerts
MisclassificationResource waste, SLA missesTraining, decision trees, automation
Communication GapsStakeholder dissatisfactionTemplates, regular updates, tools
Knowledge SilosInconsistent resolutionCentralized KB, documentation culture
Tool SprawlIntegration complexityITSM platform consolidation
Staff BurnoutHigh turnover, errorsAutomation, workload management

Integration Challenges

Common Integration Points:

SystemIntegration PurposeChallenge
Monitoring ToolsAuto-ticket creationAlert correlation
CMDBImpact assessmentData accuracy
CommunicationNotificationsMultiple channel management
Knowledge BaseSolution retrievalSearch relevance
Change ManagementChange correlationProcess alignment

Industry Standards and Frameworks

ITIL Framework

ITIL Incident Management Principles:

PrincipleDescription
Service RestorationFocus on rapid restoration, not root cause
SLA ComplianceMeet agreed service levels
Continuous ImprovementLearn from incidents
User FocusMinimize business impact

NIST Guidelines

NIST Incident Response Lifecycle:

1. Preparation
2. Detection and Analysis
3. Containment, Eradication, and Recovery
4. Post-Incident Activity

Applicable to: Security incidents, cybersecurity events

ISO 20000

Requirements:

  • Documented incident management process
  • Priority assignment criteria
  • SLA compliance tracking
  • Continual improvement activities

Real-World Examples

Example 1: E-commerce Platform Outage

Scenario: Payment gateway failure during peak shopping season

Response:

Detection: Automated monitoring alerts within 2 minutes
Classification: P1 - Critical (revenue impact)
Team: Major incident team assembled
Communication: Customer notification, status page update
Investigation: Identified third-party API failure
Workaround: Switched to backup payment provider
Resolution Time: 45 minutes
Post-Incident: Implemented automatic failover

Example 2: Email System Degradation

Scenario: Slow email delivery affecting 2,000 users

Response:

Detection: User reports to service desk
Classification: P2 - High impact
Diagnosis: Database performance issue
Resolution: Database optimization and index rebuild
Communication: Status updates every 2 hours
Resolution Time: 6 hours
Follow-up: Scheduled preventive maintenance

Example 3: Security Incident

Scenario: Ransomware detection on file server

Response:

Detection: Security monitoring alert
Classification: P1 - Critical (security)
Immediate Actions:
  1. Network isolation of affected systems
  2. Security team mobilization
  3. Executive notification
Investigation: Phishing email vector identified
Remediation: Malware removal, system restoration from backup
Resolution Time: 24 hours
Follow-up: Security awareness training, email filtering enhancement

Frequently Asked Questions

Q: What’s the difference between an incident and an outage?

A: An outage is a type of incident where a service is completely unavailable. All outages are incidents, but not all incidents are outages (e.g., performance degradation is an incident but not an outage).

Q: How quickly should incidents be logged?

A: Incidents should be logged immediately upon detectionβ€”within minutes for critical issues. Automated systems log instantly; manual reports should be logged within 15-30 minutes.

Q: Who can report an incident?

A: Anyoneβ€”end users, IT staff, automated monitoring systems, external partners. All incident sources are valid.

Q: Should workarounds be documented?

A: Yes. Workarounds should be documented in the knowledge base as temporary solutions until permanent fixes are implemented.

Q: How long should incident records be retained?

A: Typically 1-3 years for trend analysis and compliance, though requirements vary by industry and regulation.

Q: What happens if an SLA is breached?

A: Document the breach, notify stakeholders, analyze root cause, and implement corrective actions. Many organizations have escalation or credit policies for SLA breaches.

References

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