InPerformance Analytics (PA),long-term signalsarekey performance indicators (KPIs) that help organizations make data-driven decisions for sustained workflow stability. These KPIs providetrends over time, allowing businesses to analyze patterns, predict future performance, and optimize workflows for efficiency.
Track Trends Over Time→ Identify slow-moving changes and patterns.
Support Predictive Analysis→ Help in making data-driven strategic decisions.
Reduce Unplanned Changes→ Avoid reactive decisions by monitoringhistorical data.
Incident Backlog Over Time→ Measures incident accumulation to prevent delays.
Change Success Rate→ Analyzes how well changes are implemented without failures.
Mean Time to Resolution (MTTR)→ Tracks how long it takes to resolve incidents.
How Long-Term Signals Help in Workflow Stability:Example KPIs Used in Performance Analytics:
Why "A. Long-term signals" is Correct:Long-term signals provide historical trends that help organizations maintain stable workflows.
B. Non-signals→No such term exists in Performance Analytics.
C. Anti-signals→Not a recognized Performance Analytics term.
D. Stability signals→Misleading term; long-term signalsare what provide stability insights.
Why Other Options Are Incorrect:
ServiceNow Documentation:Performance Analytics Overview
CSA Exam Guide:Coverslong-term KPI tracking for workflow stability.
Reference from CSA Documentation:Thus, the correct answer is:
A. Long-term signals
