rtt=1 | coherence=declared | drift=bounded | paradox=structural

Human Resources

Human Resources applies TriadicFrameworks to organizational systems. The module replaces three inherited failure modes — binary evaluation, regime blindness, and narrative-driven HR — with a structured triadic observer model grounded in RTT and SET decomposition.

The Problem#

Traditional HR operates on a flat surface:

Binary — pass/fail performance, in/out headcount
Regime-blind — policy applied without reading structural context
Narrative-driven — decisions rationalized by story, not by structural signal

These three modes compound each other. A regime-blind system applying binary metrics while accepting narrative justification cannot detect drift — and cannot correct it.

The Triadic Observer Model#

This module replaces those failure modes with three observer layers drawn from SET:

Layer	Role
Substrate	What the organizational structure actually is — roles, flows, dependencies
Envelope	What conditions the organization is operating inside — pressure, drift, coherence
Transition	What is changing — and whether that change is structurally supported

Tools Included#

Performance review templates — RTT-aligned evaluation grids replacing narrative scoring
Drift detection tools — Surface structural drift before it becomes a personnel event
Manager-Staff-HR alignment map — Three-layer observer map showing where signals misalign
Case studies — Real-pattern examples worked through the triadic model

AI-Ready#

All templates and tools in this module are structured for AI-assisted analysis. Outputs conform to RTT schema for round-trip validation.

Integration Points#

Governance_Substrate_Model — GSM governs the structural conditions HR operates inside
Conditions_Substrate_Model — CSM condition classes (drift fields, coherence envelopes) directly apply
Opacity — OPC operators surface the regime-blind patterns HR must learn to read

Updated Jul 14, 2026