Research Portfolio Analysis Using Extensions of Quality Function Deployment

Abstract

Research portfolio analysis can effectively promote participation in strategic and complex decision processes. This develops a consensus for and an understanding of organizational goals and the associated performance metrics. To achieve this goal, a portfolio decision model should provide analysis of current program information without the distraction of excessive complexity. Specifically, the model's benefits should exceed the difficulty and effort required for model development, use, and maintenance.

This paper describes a research portfolio model that achieves these goals by applying quality function deployment (QFD) methods. The model identifies the most important research activities and quantifies their impact on research program objectives. Important characteristics of research planning are integrated into the QFD framework including interaction of research activities, probability of success of research programs, and progress adjusted importance of strategic objectives.

The model was developed at the NASA Langley Research Center to support the needs of program managers to coordinate and prioritize research activities. It provides a practical methodology to develop analytical information and supports the consensus building required to select targeted research programs with a strategic focus. The model provides a flexible platform for future development.