Intentionality Engineering
Moving beyond "user stories" and "backlogs" toward a deterministic specification of reality.
Research Area
We treat the definition of an outcome as a forensic discipline. Before the machine can execute, the mind must be precise. We reject the ambiguity of "requirements" in favor of the closed logical shell of an outcome.
Research Pillars
The Ambiguity Tax: Measuring the cost of fuzzy definitions on human potential and engineering velocity.
Outcome Forensics: Developing methods to extract precise intentionality from directional sentiments.
The Logical Shell: Engineering definitions that account for every topographical coordinate of the problem.
Methodology
Moving beyond "user stories" and "backlogs" toward a deterministic specification of reality.
Identifying the "fuzzy edges" in a project and resolving them mathematically before execution begins.