Cover: Multi-perspective Strategic Decision Making

Multi-perspective Strategic Decision Making

Principles, Methods, and Tools

Published Aug 17, 2010

by Lynne Wainfan

Download eBook for Free

FormatFile SizeNotes
PDF file 2.2 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Increasingly, governing groups must take into account diverse perspectives (values, beliefs, and expectations) from within the group, from stakeholders, analysts, and adversaries. Multi-perspective strategic decision making is the process of making long-term decisions that shape the course of an organization, while taking into account diverse perspectives. Often, these perspectives affect the group’s decision more than “objective” criteria. For complex, deeply uncertain problems, groups considering diverse perspectives can be challenged to agree on strategy. This research defines methods, principles, and tools to help groups agree on strategy despite widely diverse perspectives. It extends exploratory analysis techniques to cover new types of factors driving the choice of strategy: “perspective parameters,” including those used for aggregation and scoring variables in a multiresolution model; along with uncertain objective parameters. Six useful simplification techniques are defined to help decision makers see the essence of a complex system and the forces driving it. Finally, this research introduces a heuristic that uses driving forces’ time frame and controllability to identify the best strategy and ways to iterate options. The approach is illustrated using a defense acquisition strategy.

Research conducted by

This document was submitted as a dissertation in March 2010 in partial fulfillment of the requirements of the doctoral degree in public policy analysis at the Pardee RAND Graduate School. The faculty committee that supervised and approved the dissertation consisted of Paul Davis (Chair), David Groves, and Richard Hillestad.

This publication is part of the RAND dissertation series. Pardee RAND dissertations are produced by graduate fellows of the Pardee RAND Graduate School, the world's leading producer of Ph.D.'s in policy analysis. The dissertations are supervised, reviewed, and approved by a Pardee RAND faculty committee overseeing each dissertation.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.