The Decision Signals™ Maturity Model

Five dimensions. Five levels. A diagnostic framework that defines where a leadership team actually stands — and the structural changes that move them forward.

Most operating businesses have data. Very few have a decision system — the structure that reliably turns data into timely, accountable decisions.

The Decision Signals™ Maturity Model is the diagnostic instrument used at the start of every engagement. It defines five levels of decision-system development across five dimensions. It is the shared language with the buyer and the public framework that anchors the method.

What the model measures

Every executive operating system has five surfaces where decision quality is either built or broken. The maturity model scores each one independently.

01

Metrics Architecture

What gets measured, how it is defined, who owns the definition, and how revisions happen.

02

Decision Cadence

The rhythm of reviews, who attends, and what kind of decisions each review is built to make.

03

Reporting Surfaces

The artifacts leadership actually sees, and whether their visual structure matches the decision structure.

04

Human-AI Integration

Where people, tools, and AI each sit in the pipeline — what each may inform, recommend, or automate, and who stays accountable when machine-assisted outputs enter executive decisions.

05

Action Linkage

Whether what gets seen in reporting reliably changes what gets done — and whether outcomes are tracked back to the decisions that triggered them.

Where does your leadership team stand?

Each level describes a fundamentally different condition — not a score, but a posture. Most executive teams are between Level 2 and Level 3.

1

Ad Hoc

Numbers exist. A decision system does not.

~25–35% of operators
2

Functionally Defined

Each function has a system. The functions do not agree.

~40–50% of operators
3

Executive Aligned

One operating system, one source of truth, decisions begin to flow.

~15–20% of operators
4

Decision-System Designed

Reporting is explicitly designed for decisions, not display. AI is in the workflow on purpose.

~5–10% of operators
5

Self-Calibrating

The decision system has a cadence for its own renewal.

~1–2% of operators

Scoring rule: The overall maturity level is the minimum dimension score, not the average. A decision system is only as strong as its weakest surface.

What an Assessment produces

A Decision Signals™ Assessment delivers five concrete outputs, sequenced to move directly from diagnosis to engagement scope.

01

Scored matrix

5 dimensions × current level, scored and documented.

02

Named maturity level

Overall level determined by the lowest dimension score.

03

1-page narrative

Current posture, failure modes already visible, where the system quietly rewards drift, and the gap to target level.

04

Target level

Recommended engagement target — typically one level above the lowest dimension.

05

Structural changes

The changes that close the gap, sequenced as the engagement scope.