Decision-
Centered
Design

Design Intelligence
for Mission-Critical
Environments

Most analytics initiatives start with models.
We start with decisions.

Decision-Centered Design (DCD) reframes data
science as a decision challenge, not a technology
problem.

Because models don’t create impact.
Better decisions do.

We begin with decision points, moments when people make high-stakes judgments.

Decision points are linked to behavioral metrics that serve as leading indicators of performance.

When these moments improve - becoming faster, more consistent, and less burdensome - the system is working.

Effectiveness is measured through observable behavioral change, (not model performance in isolation.)

Most organizations deploy models. Few build systems.

Layered
Intelligence
Model

Decision-centered design

requires a progression in

data maturity, from reliable

foundations to contextual

insight to AI-enabled

decision support.