Alescent Progression Pattern Registry¶
Purpose and Boundary¶
This registry governs Alescent-specific Progression Patterns used to assess, design, execute, evidence, and sustain Capability and Competency maturity advancement.
The registry applies, specializes, and operationalizes the portable VRBoK Maturity Progression architecture. It does not redefine the Maturity Model, controlled anchor states, adjacent Progressions, Reference Progressions, evidence principles, or fit-for-value rules.
Relationship to the VRBoK¶
Portable doctrine is maintained in:
01.030.031, Capability Models;01.030.031.010, Maturity Model;01.030.031.020, Maturity Progressions;01.030.031.020.010, Reference Progression Model;01.030.031.020.020, Reference Progression Registry.
Alescent Progression Patterns may cite or specialize portable Patterns. Where a Pattern becomes sufficiently generalized and portable, it may be proposed for VRBoK adoption through canonical governance.
Registry Rules¶
- Relationships are many-to-many.
- A Pattern may apply to several Capabilities, Competencies, Domains, Effects, and Maturity Progressions.
- A Pattern may have different roles in different contexts.
- A Progression Application must identify the source Maturity Position, adjacent target Maturity Level, scope, evidence basis, and fit-for-value rationale.
- Pattern use does not prove maturity advancement or realized value.
- Alescent Products, Platforms, Offerings, assessment instruments, and Playbooks may support a Pattern but are not portable requirements.
Initial Candidate Registry¶
These entries are proposed seeds for development. They are not yet complete Pattern documents.
| Candidate Pattern | Typical Progression relationships | Illustrative Domains | Illustrative Effects |
|---|---|---|---|
| Minimum Viable Operating Context | Improvising, primary | Players, Practices, Projects, Platforms | Capability Optimization, Competency Optimization, Confidence Optimization, Control Optimization |
| Operating Evidence Capture | Improvising and Normalizing, evidence-producing | Players, Practices, Products, Projects | Confidence Optimization, Control Optimization, Capability Optimization |
| Standard Practice Establishment | Normalizing, primary | Practices, Players, Platforms | Capability Optimization, Continuity Optimization, Control Optimization, Compliance Optimization |
| Required Proficiency Definition | Normalizing, primary; Improvising, conditional | Players, Practices | Competency Optimization, Capability Optimization, Capacity Optimization |
| Exception Governance | Normalizing and Rationalizing, primary or contributing | Practices, Players, Projects | Control Optimization, Compliance Optimization, Continuity Optimization, Complexity Optimization |
| Authoritative Source Establishment | Rationalizing, primary; Normalizing and Optimizing, contributing | Platforms, Practices, Products, Players | Control Optimization, Confidence Optimization, Complexity Optimization, Cost Optimization |
| Variant Inventory and Disposition | Rationalizing, primary | Practices, Platforms, Products, Partners | Complexity Optimization, Cost Optimization, Continuity Optimization, Capability Optimization |
| Stable-Work Automation | Optimizing, primary | Practices, Platforms, Players, Products | Cost Optimization, Capacity Optimization, Consumption Optimization, Capability Optimization |
| Governed Feedback Loop | Optimizing, primary | Practices, Platforms, Products, Players | Capability Optimization, Confidence Optimization, Contribution Optimization, Control Optimization |
| Cross-Boundary Dependency Mapping | Harmonizing, primary; Rationalizing, contributing | All six Domains | Continuity Optimization, Complexity Optimization, Capability Optimization, Control Optimization |
| Semantic Reconciliation | Rationalizing and Harmonizing, primary or contributing | Platforms, Practices, Partners, Products | Confidence Optimization, Control Optimization, Complexity Optimization, Compliance Optimization |
| End-to-End Effect Measurement | Harmonizing, primary; Optimizing, contributing | All six Domains | Contribution Optimization, Capability Optimization, Confidence Optimization, Cost Optimization |
| State-of-the-Art Recalibration | Optimizing and Harmonizing, conditional | All six Domains | Capability Optimization, Competition Optimization, Confidence Optimization, Continuity Optimization |
Pattern Record¶
progression_pattern:
id: ""
name: ""
version: ""
lifecycle_status: "proposed"
authority_status: "reference"
pattern_class:
- "Progression Pattern"
definition: ""
portable_sources: []
applicable_progressions:
- progression: "Improvising | Normalizing | Rationalizing | Optimizing | Harmonizing"
role: "primary | contributing | conditional | evidence-producing | excluded"
rationale: ""
applicable_subjects:
capabilities: []
competencies: []
practices: []
platforms: []
products: []
qualified_other: []
domain_relationships:
primary: []
contributing: []
affected: []
evidence_producing: []
excluded: []
effects:
priorities: []
contributors: []
protected: []
adverse_or_tradeoff: []
plays: []
playbooks: []
other_efforts: []
required_practices: []
required_proficiencies: []
enabling_platforms: []
enabling_products: []
partner_conditions: []
project_or_initiative_relationships: []
evidence_indicators: []
exit_criteria_supported: []
alescent_products: []
alescent_platforms: []
offerings: []
proof_artifacts: []
performance_measures: []
limitations: []
sources_and_validation: []
Application Record¶
A customer-, engagement-, account-, Product-, Platform-, or Practice-specific use should be recorded as a Progression Application, not as a new Pattern unless it contains reusable logic.
A Progression Application should identify:
- Maturity Subject and scope;
- source Maturity Level and Position;
- adjacent target Maturity Level;
- selected Progression Patterns;
- Plays, Playbooks, Projects, and other Efforts;
- Priority Effects and trade-offs;
- Domain relationships;
- Investments, accountabilities, evidence, and exit criteria;
- confidence, limitations, and regression triggers.
Governance¶
New Alescent Progression Patterns should be reviewed for reuse, evidence, supportability, ownership, Practice Area relationships, commercialization readiness, and portability potential.
The registry should be maintained as repository-governed structured data when the number of Pattern records makes Markdown insufficient. GitHub remains the source of truth for governed ABoK records unless another system is explicitly designated.