How KAIVANT earns the right to its claims.
We publish our validation stages, evidence thresholds, and current standing openly. A measurement standard that earns trust does not claim validity it has not yet demonstrated.
Evidence thresholds, published in full.
No stage is claimed without supporting data. Each stage is documented in a publicly available validation progress report. This approach is not a weakness to be managed. It is the standard to which any credible measurement instrument should be held. Most commercial frameworks in this space do not meet it.
| Stage | Evidence Required (Kaivant-O) | Permissible Claim |
|---|---|---|
| Stage 0Current | No outcome data | Theoretically grounded diagnostic. Predictive validity under development. |
| Stage 1 | n ≥ 50 organisations, 6-month follow-up | Preliminary face validity demonstrated. Full validation ongoing. |
| Stage 2 | n ≥ 150 organisations, 12-month follow-up | Partial predictive validity demonstrated in specified sectors. Full validation ongoing. |
| Stage 3 | n ≥ 300 organisations, 18-month follow-up | Predictive validity established for Leverage Position outcomes in specified sectors. See validation report. |
Kaivant-I validation condition: n ≥ 500 individuals across five or more role categories, 18-month follow-up. Staged claims logic applies using individual n replacing organisational n.
Where we are, now.
A framework designed to evolve without drifting.
The Kaivant framework separates two layers that operate on fundamentally different timescales. This separation allows the framework to respond to a changing world without the intellectual foundation shifting.
The intellectual architecture
The two-axis compounding thesis. The non-compensatory composite logic. The augmentation-substitution distinction. The lag/lead gap as primary diagnostic output. These claims operate at a level of abstraction that sits above specific AI capabilities and is expected to hold for ten to twenty years. Changes require a formal revision process with documented rationale.
Specific metrics and thresholds
The specific metrics, thresholds, benchmarks, and measurement instruments within each dimension. These have a useful life of three to five years and are formally versioned from launch. Annual review is triggered by shifts in AI capability, accumulation of dataset evidence, or the scheduled annual review cadence. Each version release includes a change log, rationale, and transition protocol for organisations in longitudinal tracking.
Help build the evidence base.
Organisations. Assessment data from participating organisations contributes to the validation dataset. Each assessment generates data that improves calibration norms. Each longitudinal track generates evidence toward the validation condition. Organisations that participate in early-stage validation are recognised founding validation partners.
The Kaivant Score will launch on kaivantscore.com in 2026. To express interest in early access and validation participation, register via the practitioners page or contact us directly.
Practitioners. Founding cohort practitioners are the primary vehicle through which assessment data is generated in the early validation phase. Each practitioner deployment contributes to the evidence base and informs the indicator review process. Practitioners have direct input to the indicator review at each annual cycle.
The founding practitioner cohort is open now. Registration is free. There is no commitment required at this stage.
Transparency is the standard.
Every claim KAIVANT makes is bounded by the evidence that supports it. Register your interest to be part of building the validation foundation and to receive updates as each stage threshold is reached.