Ownership
Ownership clarity score
The share of accountable entities that resolve to exactly one named, active, undisputed owner.
Manual assessmentMetrics Library
A practical reference for measuring the Large People Model across ownership, decisions, communication, information, platforms, governance, and AI amplification.
Use these metrics to diagnose coordination debt, guide operating model improvements, and define which signals a future software workflow would need to connect.
Five Recommended Measures
Together these measures cover ownership, decision flow, information quality, governance, and AI accountability.
Ownership
The share of accountable entities that resolve to exactly one named, active, undisputed owner.
Manual assessmentDecisions
The time it takes a decision to move from raised to decided and executed.
Manual assessmentInformation
The share of knowledge domains reviewed within their required cadence.
Track nowGovernance
The share of governed decision types and AI-enabled areas covered by an active control.
Track nowAI Amplification
The share of AI tools and agents with a single named human owner.
Track nowAdvanced Reference
Open all metrics to search definitions or filter by layer, practical status, and use type. Formula and worked examples remain on each metric detail page.
Manual Application
The Metrics Library is not only for software. Leaders can use these metrics to structure operating reviews, transformation diagnostics, AI readiness assessments, and workshop knowledge objects.
Use layer metrics to review where execution is slowing, where ownership is unclear, and where decisions are aging.
Use metrics to determine whether AI is being scaled into a system that has enough ownership, information trust, and governance.
Use platform metrics to identify where tools, workflows, and handoffs are fragmenting execution.
Use governance metrics to separate useful controls from bottlenecks, theater, and unmanaged risk.
Knowledge Objects and Resources
Use the Resource Hub to move from metric understanding to worksheets, guides, diagnostics, and operating reviews.
Published
How slow, unclear, or reversible decisions create execution drag that traditional delivery metrics often miss.
Read briefPublished
A structured worksheet for assessing the operating model across all seven LPM layers.
Open knowledge objectPublished
A practical map for clarifying who owns outcomes, decisions, platforms, information domains, and AI-supported work.
Open knowledge objectPublished
A matrix for defining who can decide, approve, advise, escalate, or veto critical decisions.
Open knowledge objectPublished
An audit for determining whether meetings are creating decisions, clarity, and commitments or just more communication load.
Open knowledge objectPublished
A map for identifying authoritative information sources, owners, freshness expectations, and trust gaps.
Open knowledge objectPublished
An inventory for identifying duplicate tools, unclear ownership, manual handoffs, and platform fragmentation.
Open knowledge objectPublished
A checklist for evaluating whether the operating model is ready to scale copilots, AI workflows, and agents.
Open knowledge objectPublished
A leadership review artifact for assessing operating model health, risk, bottlenecks, and AI readiness.
Open knowledge objectPublished
A coming checklist for risk tiering, confidence gates, auditability, and human escalation.
Open resourcePublished
Assess whether ownership, decisions, information, platforms, governance, and AI boundaries are ready for scale.
Take diagnosticPublished
How each layer progresses from invisible practices to adaptive operating intelligence.
View maturity modelMeasure Before You Scale
Use the Metrics Library to understand what to diagnose, what to monitor, and where Lapemo can turn framework metrics into operating intelligence.