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 nowMetrics Library
Search and filter by layer, support status, and use type. The support labels distinguish how each metric can be applied today.
37 metrics
Open a metric for formula, example, manual method, and Lapemo support.
Ownership
The share of accountable entities that resolve to exactly one named, active, undisputed owner.
Ownership
The share of decision types that have a single named owner accountable for the outcome.
Ownership
The share of named organizational outcomes that have a single named owner.
Ownership
The number of entities that can affect an outcome but resolve to no named owner, or sit on a broken ownership chain.
Ownership
The degree to which an owner's incentives pull against the outcome they own.
Decisions
The time it takes a decision to move from raised to decided and executed.
Decisions
The share of decisions later overturned or replaced.
Decisions
How long open decisions have been waiting unresolved.
Decisions
How many other decisions or entities a decision depends on or feeds.
Decisions
Model confidence on AI-involved decisions, measured against the required gate.
Decisions
How often decisions trigger an escalation path.
Communication
How scattered or ungoverned communication is, rather than purpose-fit.
Communication
Volume of communication carried per person or channel.
Communication
How much working time is consumed by meetings.
Communication
How much communication it takes to produce a decision.
Communication
Work redone because communication was unclear or lost.
Information
The share of knowledge domains with a single declared authoritative source.
Information
The share of knowledge domains reviewed within their required cadence.
Information
A composite reliability rating per knowledge domain.
Information
The share of governed outputs whose information chain traces to an owned, governed source.
Information
How much a domain carries known conflicting or contested information.
Platforms
The share of tools and platforms with a single named owner.
Platforms
The share of tools mapped into a governed boundary and integrated rather than manual.
Platforms
The share of tool-to-tool connections that are manual rather than integrated.
Platforms
How far a workflow is split across misaligned platform boundaries.
Platforms
The number of overlapping tools serving the same function.
Governance
The share of governed decision types and AI-enabled areas covered by an active control.
Governance
How often controls are bypassed or risks formally accepted.
Governance
The time taken to move an item through required approval.
Governance
Controls overdue for review, or concentrated on a single approver, that create a choke point.
Governance
Every accepted risk traced to who accepted it, when, and why.
AI Amplification
The share of AI tools and agents with a single named human owner.
AI Amplification
The share of AI-touched decisions with an explicit autonomy level and defined oversight.
AI Amplification
The share of agent actions backed by a complete, immutable audit record.
AI Amplification
A single headline score for how ready the organization is to safely scale AI.
AI Amplification
The risk that AI is being scaled faster than the human structure can govern.
AI Amplification
A risk rating of a decision type being AI-assisted.
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.