Annual point-in-time competency assessment is expensive, burdensome on employees, and produces compliance snapshots that are stale within months. Continuous monitoring replaces the annual snapshot with adaptive measurement woven into the work itself — calibrated against Joint Commission, FINRA, SOC 2, ISO 27001 standards. Individual privacy preserved by architecture, not by promise.
Your L&D and compliance teams see capability distributions, drift detection, intervention efficacy, and regulatory-aligned reports. The data layer separates individual evidence (which stays with the employee) from aggregate analytics (which the organization sees). K-anonymity guarantees of k=10 by default, with optional differential privacy for stronger guarantees.
Continuous monitoring doesn't mean constant assessment. Adaptive sampling across four modalities produces compliance-grade evidence with hard limits on per-employee burden — most employees take 4-8 events per year totaling 60-120 minutes, dramatically less than annual point-in-time assessment requires.
Every new employee takes a baseline assessment in their first 30 days. Mandatory, integrated into onboarding via HRIS webhook.
Focused 15-25 minute recalibration session annually. Mandatory for regulatory reasons; serves as ground-truth for the inferential model.
Sessions triggered by specific work events: training completion, new procedure encounter, post-incident, credentialing renewal. Quasi-voluntary; engagement rate is itself a signal.
Employees opt in to ongoing development sessions. The Profile is theirs to develop; aggregate engagement patterns visible to org, individual sessions not.
Continuous measurement of capability creates structural pressure to game the measurement. This is the brand's hardest internal problem; we surface it explicitly rather than hide it. Item rotation, multi-dimensional measurement, fairness audit, and transparent pattern surfacing reduce gaming pressure; no measurement system eliminates it. Customers who understand this constraint are better customers than ones who don't.
Calibrated items across the engine. Active rotation reduces exposure repetition; item-level fairness audit catches bias that simple gaming would produce.
Aggregate views require minimum 10 individuals. Optional differential privacy with calibrated noise for stronger guarantees in regulated contexts.
Sequential change-point methodology with statistical correction for multiple comparisons. Catches population shifts; the diagnosis of cause is human work, not statistical claim.
Continuous monitoring produces calibrated evidence about populations and aggregate trends. It does not replace clinical judgment, eliminate gaming, or guarantee compliance outcomes. Five things this system explicitly does not do.
Continuous monitoring is enterprise-tier with usage-based pricing. Minimum commitment 1,000 employees, $25,000/month. Larger deployments tier with discounts at 10K, 50K, 100K thresholds; healthcare and financial-services premium reflects compliance-reporting value.
Tiered by deployment size. Includes continuous measurement, longitudinal Profile evolution, k-anonymity-preserving analytics, drift detection, intervention efficacy, quarterly reporting. Customer success ratio 1:2-3.
Premium reflecting compliance-reporting value. Includes Joint Commission, FINRA, SOC 2 Type 2, ISO 27001 alignment, quarterly business reviews with research team participation. External legal review required pre-sign.
For organizations needing stronger-than-k-anonymity guarantees. Calibrated Laplacian noise on every aggregate query; reverse-engineering of individual data prevented even with auxiliary information.
Implementation typically runs 6 months from kickoff to steady-state operation, with the first useful drift detection and intervention efficacy in year 2. External legal review required before any v1 customer signs.