Cognitive gaps, translated into outcomes.
Each impact range is derived from cognitive transformation moves applied across the organizational digital twin. We surface directional ranges with explicit confidence — not single-point promises.
Adoption Persistence
Improvement driven by archetype-specific onboarding (s7) and peer enablement (s3).
Burnout Risk
Customer Support and Operations are dominant contributors; deterministic surfaces ease load.
Operational Efficiency
Largest gains in support and ops once friction is reduced; modest gains elsewhere.
Workflow Consistency
Standardized cognitive patterns reduce ad-hoc workflow divergence.
Innovation Potential
Sandbox mode (s9) drives most of the lift; concentrated in Product, Data, Marketing.
AI ROI Realization
Cognitive fit interventions remove the most common silent-failure mode.
Transformation Speed
Peer enablement (s3) compresses diffusion timelines by 30–45%.
Decision Quality
Verification-first patterns disproportionately benefit calibrators and controllers.
Cross-Functional Collaboration
Network effects emerge once 3+ teams reach archetype balance.
Trajectory under recommended program.
Ranges, not promises
Every projection encodes uncertainty. A range communicates direction and magnitude without overstating precision. Confidence indicators are calibrated against the underlying intervention base rate.
Compounding effects
Several interventions create non-linear gains when stacked — peer enablement amplifies onboarding, deterministic surfaces compound trust gains. The simulator approximates these through controlled diminishing returns.
Out-of-scope effects
The model does not predict revenue, share price, or competitive position. Translation into financial KPIs requires partner-organization context and finance-grade modeling outside this demo.