The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
Classify organizational decisions along two dimensions—information locality and cross-boundary impact—to determine whether they should be fully distributed, distributed with coordination, centralized, or automated.
Build self-direction infrastructure through five components: shared purpose translated to decision criteria, transparent decision-relevant information, explicit decision rights with clear boundaries, systematic feedback mechanisms, and conflict resolution protocols.
Test whether organizational purpose is operational rather than aspirational by tracking whether it gets explicitly referenced in actual decisions over a defined period.
Grant teams full authority over organizing their own work processes when work is interdependent, team members possess both domain and collaborative skills, and psychological safety enables productive disagreement.
Establish explicit boundaries for self-organizing teams across four dimensions—strategic objectives, resource constraints, coordination requirements, and quality standards—while granting full autonomy within those boundaries.
Track both appreciating patterns (that compound positively) and depreciating patterns (that compound negatively) in your daily behavior portfolio, making one deliberate trade per month rather than attempting wholesale life overhaul.
Leverage tacit team knowledge about individual strengths, working patterns, and interpersonal dynamics by letting teams make their own task allocation decisions rather than having external managers assign work.
Default information access to open unless there is specific justification for restriction, placing the burden of proof on closing information rather than sharing it.
Package transparent information with interpretive context—thresholds, benchmarks, explanatory frameworks, and action implications—rather than presenting raw data alone.
Implement active information distribution mechanisms that push critical decision-relevant information to decision-makers rather than requiring continuous monitoring of all data sources.
Close feedback loops by pairing every sensing mechanism with a defined correction mechanism, responsible party, and authority to act.
Test governance changes as time-bounded pilots with defined success metrics before permanent implementation, treating governance as hypothesis rather than verdict.
Structure consent-based decisions to require substantiated objections (evidence of specific harm) rather than preferences, focusing discussion on genuine risks.
Define roles with explicit authority domains, accountability metrics, information requirements, and operational constraints to prevent boundary ambiguity.
Assign roles based on demonstrated capability for the specific domain rather than hierarchical position or seniority, separating authority from rank.
Enable role multiplicity so one person can hold multiple roles with context-dependent authority rather than universal positional power.
Eliminate irrelevant information at the source rather than filtering it after consumption, because upstream prevention is orders of magnitude cheaper than downstream correction.
Assign explicit ownership to operational knowledge to maintain currency, as unowned documentation degrades into misinformation.
Embed learning in systems, processes, and structures rather than only in individual understanding, to ensure persistence independent of personnel changes.
Create structured rituals for emotional expression and processing to normalize emotions as organizational data rather than treating them as unprofessional noise.
Design organizations with deliberate slack (uncommitted capacity, cross-training, reserves) to enable shock absorption, accepting reduced efficiency in normal conditions for increased survivability in disruption.
Structure organizations modularly with loose coupling between components to contain failures and enable independent adaptation without cascading disruption.
Design sensemaking systems to integrate diverse functional perspectives (sales, product, customer success, finance) rather than relying on single-source interpretation, as each perspective reveals aspects others miss.
Measure learning rate (speed of improvement) rather than only performance outcomes, tracking meta-metrics like error detection speed, practice propagation rate, and pilot-to-scale conversion efficiency.