Research Project: Modeling PPM with Detection Theory

Analyzing PPM Results



Your PPM situation includes your company’s methods for evaluating and selecting projects, resources and methods for allocating resources, methods for managing a pipeline, the quality of project management and the quality of the project proposals.

Using this definition, consider two strategies for creating value with PPM:

  • Short-run approach: make the best decisions for your current PPM situation.
  • Long-run approach: continuously improve your PPM situation.

You should use both approaches; here are the prerequisites:

  • The short-run approach requires methods for making decisions. Current PPM models, software and practices implement the short-run approach.
  • The long-run approach requires diagnostic metrics that analyze PPM results to identify opportunities for improvement. Current PPM practices lack diagnostic metrics.

Why do current PPM practices lack diagnostic metrics? There are two reasons:

  • PPM results arise from a nonrandom sample of project proposals. (Executives try to select the best ones.) In this situation, conventional statistics do not suffice.
  • Optimization does not evaluate PPM results. Analyzing PPM results requires a new model of PPM.

Star DS is overcoming these problems and creating a suite of diagnostic metrics for PPM. These metrics will help you improve your PPM situation, and they will help you create great portfolios as well. Click on the links below to learn how the new PPM model can improve your:

You can learn more about the new PPM model by reading our papers.