About Metrics

Use a Metric to measure, monitor, and predict:

• Input: Work coming into the service desk (example: Logged Incidents)
• Output: Work being completed by the service desk (example: Resolved Incidents).
• Status: Snapshot of data at a specific point in time (example: Open Incidents).
• Timeliness: In regard to SLA agreements of resolve/respond (example: Late Incidents).
• Thresholds: Work exceeding an expectation (example: More than 30 Incidents are open).
• Satisfaction: Level of service appreciation (example: Customer satisfaction rate—average survey scores or % of surveys where survey scores are above 75%).
• Success: Value and Outcomes (example: First Call Resolution (FCR) rate—% of Incidents closed on first call); SLA success rate (% of Incidents where SLA was met).
• Trends: Compare points in time (example: Increasing satisfaction).
• Cause: What caused the work (example: Printer Incidents).
• Individual and Team performance: Who is completing the work and how efficient they are (example: Incidents per Team).
• Averages: Mean Time to Resolve (MTTR), Mean Time Between Failures (MTBF) for CIs, average response time, etc.

A Metric value can be a:

• Query Value:

  Based on a Search Query (ex: Open Incidents, SLAs warnings and breaches, records with unread Journals, etc.). Queries can contain simple calculation functions (ex: Averages, such as Incident MTTR).

• Calculation:

  Calculated measurement that involves other values (can be other Metrics) and math operator (example: FCR rate).

In CSM, a Metric can be used in:

• Expressions:

  To conditionally control appearance and behaviors (example: Change a Widget's border color to red if the FCR rate is less than 75 percent).

• Gauge Widgets:

  To monitor service desk performance on Dashboards (example: Number of records, MTTR, FCR, success, satisfaction).

• Queries:

  To find/filter data (example: Find all surveys where the score is below the Customer satisfaction rate).