satisfactionfeasibility

Satisfaction feasibility is a decision-making and modeling concept used to evaluate whether a specified level of stakeholder satisfaction can be achieved within the constraints of a project, system, or service. It integrates notions of user or customer satisfaction with traditional feasibility concerns such as cost, time, resources, and technology readiness.

The concept distinguishes between functional feasibility (whether a solution can be built) and satisfaction feasibility (whether the solution can deliver acceptable satisfaction). It treats satisfaction as a multidimensional objective that may include usability, performance, reliability, accessibility, and experiential factors, often measured by metrics, surveys, or utility functions.

The typical process involves identifying satisfaction criteria, modeling constraints, formulating an objective or multi-objective optimization problem, and evaluating whether feasible plans exist that satisfy the criteria within the constraints. If infeasible, techniques such as feature pruning, trade-off analysis, or resource reallocation are used to restore feasibility.

Applications span product design, software development, service operations, and policy planning, where stakeholders require guarantees that chosen options will yield acceptable satisfaction levels under real-world limits.

Common methods include constraint satisfaction, multi-criteria decision analysis, and optimization, often supported by scenario analysis, sensitivity analysis, and stakeholder workshops. Tools range from CP-SAT solvers to simulation models that estimate satisfaction outcomes.

Limitations include subjectivity in measuring satisfaction, evolving preferences, and uncertainty in data. Satisfaction feasibility is most useful when combined with ongoing monitoring and iterative refinement as conditions change.