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