Past
OE Analysis
Tools for analysing past outcomes and identifying their underlying causes.
A systems approach to understanding and improving outcomes
Most activity by individuals, businesses, institutions and states is directed towards achieving desired outcomes. The Outcome Evolution framework uses an evolutionary approach to explain how outcomes arise, how better outcomes can be brought about, and why it is that some actors achieve their objectives while others fail.
The framework can be used for strategy and planning, for designing more effective systems and for understanding how past events unfolded. It works at any scale, from individuals and businesses to institutions and states.
Using the framework
The three applications of the framework focus on understanding past outcomes, improving present-day decisions and shaping better future outcomes.
Past
Tools for analysing past outcomes and identifying their underlying causes.
Present
Tools for understanding the current situation and deciding what to do next.
Future
Tools for designing systems that enable better outcomes to be produced in the future.
Core models
The framework is built on three core models which explain how outcomes are generated, how actors operate and how systems evolve over time.
The ODR cycle describes how behaviour produces outcomes and how those outcomes shape future decisions across different scales and timeframes.
FMORB describes the internal components — Frames, Models, Operational Resources and Behaviour — that shape how actors think and act.
The evolutionary dynamics model explains how variation, selection and feedback drive change and shape outcomes in human systems over time.
Feedback
As the OE framework develops, I’m looking for feedback from people exploring the concepts and applications. If you’d like to arrange a Zoom call to discuss the framework, please get in touch.