Leading indicator
A metric that warns you a future outcome is at risk (an adoption curve flattening, accuracy drifting) as opposed to a lagging indicator that confirms a past result. Program reporting pairs the two so it predicts rather than only records.
Defined in 4 GAGE programs, which carry 10 distinct definitions of it. The wording above is taught in Business AI Transformation.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A metric that warns you a future outcome is at risk (an adoption curve flattening, accuracy drifting) as opposed to a lagging indicator that confirms a past result. Program reporting pairs the two so it predicts rather than only records.
A metric that signals a problem is becoming likely before damage occurs, such as a rising validation-failure rate at data ingestion. Contrasted with a lagging indicator, which reports damage that has already happened.
A forward-looking metric that signals emerging compliance risk before a failure occurs, such as the percentage of AI systems with completed post-market monitoring plans or the age of unresolved monitoring signals.
A signal that moves early, before the headline metric degrades (e.g. input distribution shift, behavioral change); noisier but provides warning while there is still time to act.
A metric measurable immediately that predicts value (such as time-to-complete, revision rounds, or blocks run), used in RESULTS to steer behavior weekly.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- The 3-Stage AI Productivity System: BLOCK, SCALE, RESULTS · Practical AI Workflow Design and Prompt Engineering, AI Literacy & Professional Conduct
- ROI Calculation Tools and Templates · AI in the Workplace and Team Leadership, AI Literacy & Professional Conduct
- Skill Obsolescence Early Warning Systems · Assessment and Continuous Learning, AI Literacy & Professional Conduct
- Monitoring and Reviewing AI Agent Outputs · Agentic AI and Workforce Integration, AI Literacy & Professional Conduct
- Measuring quality so executives act: the scorecard that survives a board meeting · Quality as Physics, AI Data Governance: The Data Chair
- AI Market Disruption and Competitive Intelligence · AI Literacy for Decision Makers, Business AI Transformation
- Measuring and Communicating Value · The Economics and the Business Case, Business AI Transformation
- Program Management and Execution Discipline · Implementation from Pilot to Scale, Business AI Transformation
- Measuring Long-Term Transformation Success · Measure, Sustain and Evolve, Business AI Transformation
- Communicating AI Risk to the Board and Leadership · Post-Market Monitoring and Enforcement, EU AI Act Implementation Expert
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.