Monthly Technical Incident Analysis Report

Track and analyze technical incidents in broadcasting operations, focusing on incident patterns, resolution effectiveness, and service impact to maintain high-quality broadcast service and minimize viewer disruption.

Report Objective

Monitor and evaluate technical incidents affecting broadcasting operations on a monthly basis, analyzing trends in incident frequency, severity, resolution times, and viewer impact to improve operational reliability and response effectiveness.

Incident Trends and Resolution Performance

Analysis of monthly incident volume and resolution metrics

Questions to Consider:

Mar 2024Apr 2024May 2024month304050sum(total_incidents)sum(total_incidents)Monthly Incident Volume TrendTrack changes in incident frequency and identify potential patterns
  • What is the month-over-month trend in total incidents?

  • Are there any seasonal patterns in incident volume?

  • How does current volume compare to historical averages?

  • How do resolution times vary by incident severity?

  • Are critical incidents being resolved within SLA targets?

  • Which severity levels show the most variation in resolution time?

CriticalHighMediumLowincident_severity02004006008001K1.2Ksum(average_resolution_time)sum(average_resolution_time)Incident Resolution Time by SeverityAnalyze resolution efficiency across different incident types

Service Impact Analysis

Assessment of operational impact on viewers and service delivery

Questions to Consider:

Mar 2024Apr 2024May 2024month60708090100total_outage_minutestotal_outage_minutesMonthly Service Impact DurationMonitor total outage duration and trends
  • How has total outage duration changed over time?

  • Are there any concerning trends in service disruption?

  • What is the relationship between outage duration and incident volume?

  • What is the trend in number of affected viewers?

  • Which incidents had the highest viewer impact?

  • How does viewer impact correlate with outage duration?

Mar 2024Apr 2024May 2024month050K100K150K200Kviewers_affectedviewers_affectedViewer Impact AnalysisAssess the scale of viewer-facing service disruptions

Root Cause Analysis

Evaluation of incident causes and recurring issues

Questions to Consider:

Hardware FailureSoftware IssuesNetwork ProblemsHuman ErrorExternal Factorsroot_cause020406080100sum(incident_count)sum(incident_count)Root Cause DistributionIdentify most common incident causes for targeted improvement
  • What are the most frequent root causes of incidents?

  • How has the distribution of root causes changed over time?

  • Which root causes are associated with the most severe incidents?