GASP

Signal Type Taxonomy

Every metric in the GASP Standard is classified into one of four signal types. This answers a fundamental question: "What kind of metric is this?"

Why Signal Types Matter

  • Dashboard design: Outcomes go on the executive summary; operational metrics go on team dashboards.
  • Target setting: Set targets on outcomes, not on operational metrics. Track leading indicators to predict misses early.
  • Root cause analysis: When an outcome misses, look at its leading indicators and the operational metrics that feed them.

How We Classified

Each metric was classified by applying the test question for each signal type. The key insight is that Outcome is defined by accountability (someone has a target on it), not by time orientation. This resolves edge cases like Win Rate (Outcome — Sales owns it as a target) and DORA metrics (Operational — managed in engineering standups).

Dual-Tagging

9 metrics carry both a primary and secondary signal type. This is reserved for metrics that genuinely serve two audiences — for example, NRR is both an Outcome (CS sets targets on it) and an Efficiency benchmark (investors compare it across companies). "I can't decide" is not a reason for dual-tagging.

Distribution

Type Count % of Total
Outcome 68 23%
Leading 36 12%
Efficiency 68 23%
Operational 137 46%

Note: Dual-tagged metrics are counted in both types, so percentages may sum to more than 100%.

GASP Standard v1 · Last updated

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