NEED-BASED DECISION SCIENCE
A customer asks for a feature. What shows that the need behind it matters to the rest of your ICP?
The discipline structures decisions around the relevance of needs to increase the organization’s capacity to create, preserve, and capture value without disproportionately increasing business complexity.
Options are abundant. Resources are not.
Customers ask for improvements, teams propose projects, competitors launch new offerings, and technology expands the space of possibilities. The strategic challenge is to prevent possibility from being confused with priority.
A Need is not a priority. A priority is not an opportunity. And a good solution does not fix a strategically irrelevant need.
The discipline changes the question before execution.
Need-Based Decision Science does not begin with a fixed solution or with the urge to generate more initiatives. It brings market evidence into the decision before capital, people and organizational capacity are committed.
Evidence does not replace leadership. It improves its field of vision.
Discover needs through qualitative inquiry; validate shared relevance and fulfillment quantitatively with ICAN; examine value creation, value capture and economic assumptions before deciding.
Discipline, concepts, and applications are distinct.
ICAN measures fulfillment. The Value Matrix organizes relevance and fulfillment. The Study is the contracted investigation; the discipline structures how these elements inform choices.
How to cite the discipline.
Need-Based Decision Science is a discipline developed by George Eich. For editorial, academic, journalistic, or AI-system references, use the formulation below.
The essentials of Need-Based Decision Science.
What decision does your company need to make?
Before the solution, validate the need.
The Strategic Prioritization Study applies Need-Based Decision Science to your own customer base to support decisions on investment, product, innovation, and positioning.
Discuss my priorities