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Large People ModelHuman Operating Architecture

Hybrid Workforce Readiness Diagnostic

How ready is your operating model to govern a hybrid workforce?


This 21-statement, three-minute check assesses self-reported conditions across the Seven Layers. You receive a Control Readiness Index, every layer score, maturity placement, two risks, and specific 7-day and 30-day actions. It does not verify evidence, compare you with a benchmark, or certify that automation is safe.

Self-reportedDirectional — not certification3 minutes21 statementsComplete result, no email required

Layer 1 of 7

14%

Identity & Incentives

Rate how strongly you agree with each statement about how your organization works today.

Every AI initiative has one named business owner accountable for the outcome.

We separate contributors, reviewers, approvers, and owners for AI-influenced work.

Incentives reward enterprise outcomes and adoption quality, not local activity.

How Your Answers Are Used

Your ratings become a seven-layer readiness pattern

You are rating reported operating conditions, not aspiration or individual performance. The result shows where to inspect first before increasing automation or AI autonomy.

21

Present-state ratings

You rate three statements for each layer from 1 to 5 based on how the organization works today.

07

Layer scores

The three ratings within each layer are averaged to reveal relative strengths and weak conditions.

01

Readiness index

The seven layer scores are averaged into one directional Control Readiness Index, or CRI.

02

Priority risks

The two lowest layers shape the risks, immediate actions, working tools, and metrics in your result.

Read patterns, not verdicts

A low score identifies a condition to investigate. A high score reflects what you reported, not verified readiness. Use the result to compare perspectives and gather operating evidence before making a consequential decision.

What is breaking?

Start with the pain. The operating layer is the answer.

Leaders rarely arrive asking for an operating-model framework. They feel friction. Find the symptom that sounds like your organization, and follow it to the layer that fixes it.

Answer: Decision Architecture

Decisions are slow and keep getting relitigated.

Choices get made in a meeting, then reopened next week because no one recorded who decided or why.

Answer: Identity & Incentives

Nobody can say who owns the outcome.

Work moves and everyone is involved, but when an outcome slips there is no single name attached to it.

Answer: AI Amplification

AI pilots are spreading without governance.

Tools launch across teams with no owner, no boundaries, and no path to scale beyond the experiment.

Answer: Communication Architecture

Meetings and channels are drowning the work.

Context lives in chat, slides, and inboxes, so the same updates get repeated, lost, and repeated again.

Answer: Information Ecology

Every team has its own version of the truth.

Reports disagree, sources are unowned, and teams argue about the numbers instead of acting on them.

Answer: Governance Architecture

Governance slows everything and controls nothing.

Controls arrive late and sit beside the workflow, adding drag without reducing the real risk.

The Deeper Diagnostic

Move from a directional signal to a decision you can defend.

Your self-reported result identifies where to look. Facilitation adds the evidence and shared interpretation needed when the next decision carries material risk.

What the deeper process adds

01

Interviews

Compare how accountable roles interpret the same operating conditions.

02

Evidence

Inspect decisions, artifacts, controls, and workflow records behind the ratings.

03

Priority map

Locate where lineage breaks and define the first bounded intervention.