Working paper · DOI 10.5281/zenodo.21502520
ROOT: A framework for closing the data-decision gap
ROOT is a framework for closing the data-decision gap in complex organizations. It frames decision performance as a system problem rather than a dashboard problem — connecting the Real Decision System, the Operating Model and Outcome Intelligence on a substrate of Trust to explain why organizations often have more data but not better decisions.
Abstract
ROOT frames decision performance as a system problem rather than a dashboard problem. It connects the Real Decision System (R), the Operating Model (O1), and Outcome Intelligence (O2) on a substrate of Trust (T) to explain why organizations often have more data but not better decisions.
The ROOT pillars
R
Real Decision System
The decisions that actually get made, by whom, and on what basis — as distinct from the decisions the org chart implies.
O1
Operating Model
The structures, roles and cadences that translate data into decision-ready inputs.
O2
Outcome Intelligence
The feedback loop that measures whether decisions produced the intended outcomes.
T
Trust
The substrate that determines whether R, O1 and O2 are actually used under pressure.
Evidence tiers
| Tier | Basis |
|---|---|
| R / O1 | Peer-reviewed and industry-supported claims. |
| O2 / T | Directional hypotheses pending empirical validation. |
Citations and downloads
Working paper v1.0 published on Zenodo. Cite as DOI 10.5281/zenodo.21502520.
Zenodo (DOI record + PDF)zenodo.org/records/21502520
Author identity
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