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CSA · Question #377

When using the Performance Analytics application in the Now Platform, what kind of KPI signals are used to make decisions that statistically support long term workflow stability?

The correct answer is C. Anti-signals. In ServiceNow Performance Analytics, 'anti-signals' are specific KPI signals utilized to make decisions that statistically support long-term workflow stability.

Submitted by mike_84· Apr 18, 2026Self-Service and Process Automation

Question

When using the Performance Analytics application in the Now Platform, what kind of KPI signals are used to make decisions that statistically support long term workflow stability?

Options

  • ALong-term signals
  • BNon-signals
  • CAnti-signals
  • DStability signals

How the community answered

(40 responses)
  • A
    3% (1)
  • B
    3% (1)
  • C
    88% (35)
  • D
    8% (3)

Why each option

In ServiceNow Performance Analytics, 'anti-signals' are specific KPI signals utilized to make decisions that statistically support long-term workflow stability.

ALong-term signals

'Long-term signals' is a generic descriptive phrase and not a specific term used within ServiceNow Performance Analytics for this type of KPI measurement.

BNon-signals

'Non-signals' suggests a lack of data or relevance, which is not how stability is indicated through KPIs in Performance Analytics.

CAnti-signalsCorrect

Anti-signals in Performance Analytics represent a KPI state where the absence or minimal change in a metric over an extended period is a positive indicator of process stability and operational health, rather than growth or decline.

DStability signals

'Stability signals' is a descriptive term, but 'anti-signals' is the specific, recognized terminology within Performance Analytics for this concept.

Concept tested: Performance Analytics KPI anti-signals

Source: https://docs.servicenow.com/bundle/utah-now-intelligence/page/use/performance-analytics/concept/pa-anti-signals.html

Topics

#Performance Analytics#KPIs#Statistical Signals#Workflow Stability

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