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COMPEL Body of Knowledge

COMPEL Glossary / GL-61

Time-to-Value

The elapsed time from a user being provisioned on an AI system to their first recorded value-generating interaction with it, measured at the cohort level.

What this means in practice

Time-to-value distinguishes onboarding friction from sustained engagement and is a leading indicator of downstream adoption and ROI; a shrinking time-to-value across successive cohorts signals that onboarding and enablement investments are paying off.

Context in the COMPEL framework

A core metric of the Adoption dimension. Instrumented during Produce and reported in Evaluate and Learn.

Where you see this

Time-to-Value is most commonly referenced when teams work across the Produce , Evaluate and Learn stages — especially within the Value Realization layer . It appears in governance artifacts, assessment instruments, and delivery playbooks wherever COMPEL is operationalized.

Related COMPEL stages

Related domains

Synonyms

TTV , time to first value , onboarding velocity

Related Terms Network

This diagram shows how Time-to-Value connects to other concepts in the COMPEL body of knowledge. Each linked node is a term you can explore in turn.

Related terms for Time-to-Value Network graph showing 3 related glossary terms connected to Time-to-Value. Time-to-Value Trust & Pe… Active-Use… Value Real…
3 related concepts connected to Time-to-Value.

The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.

Accessible list of related terms
  • Trust & Performance Dimensions — The eight continuous-measurement axes against which every AI transformation is evaluated in COMPEL: Value, Reliability, Safety, Responsibility, Compliance, Security, Sustainability, and Adoption.
  • Active-User Rate — The percentage of provisioned users who meaningfully engage with an AI system within a defined measurement window (typically weekly or monthly), where "meaningful engagement" is defined per use case with an explicit action threshold.
  • Value Realization — The end-to-end process of defining, tracking, and verifying the business value delivered by AI initiatives — from initial value thesis through baseline measurement, deployment, post-deployment review, and ongoing benefit tracking.

See also

  • Trust & Performance Dimensions — The eight continuous-measurement axes against which every AI transformation is evaluated in COMPEL: Value, Reliability, Safety, Responsibility, Compliance, Security, Sustainability, and Adoption.
  • Active-User Rate — The percentage of provisioned users who meaningfully engage with an AI system within a defined measurement window (typically weekly or monthly), where "meaningful engagement" is defined per use case with an explicit action threshold.
  • Value Realization — The end-to-end process of defining, tracking, and verifying the business value delivered by AI initiatives — from initial value thesis through baseline measurement, deployment, post-deployment review, and ongoing benefit tracking.

Related articles in the Body of Knowledge