NextStep

NextStep applies the discipline of decision architecture to the place people apply it least: their own careers. It is the same systems thinking I bring to enterprises, pointed at an individual trajectory.

Problem

Most people make career decisions with less structure than they would bring to a software migration. They optimize for the next title, follow the loudest advice, or freeze. The result is drift - a sequence of locally reasonable moves that do not compound into anything.

The most consequential decisions get the least rigor.

The information exists. What is missing is the architecture to see where you are, what moves are available, and which one actually builds toward something.

Architecture

NextStep models a career as a navigable system.

• A capability and trajectory model represents where a person is, not just where they have been.
• A role and skill graph maps the adjacent moves and the gaps between them.
• A recommendation engine proposes the next deliberate step and explains why.
• An outcome feedback loop learns from the moves people actually make.

The legibility principle is the same one threaded through the rest of the systems: make the consequential choice inspectable before it is made, not after.

Where it’s going

The trajectory model is built. The active work is the recommendation engine - turning a map of possible moves into a defensible recommendation a person can actually reason about and reject if they disagree.

The longer arc is outcome learning: refining recommendations from how real careers unfold, so the system gets sharper the more trajectories it sees. Explore the wider thinking in the atlas.