Frost & Sullivan’s Innovations in New Product Development eBulletin
   CONNECT


INTELLIGENCE ANALYSIS

Multi-Criteria Intelligence Matrix

  Kristan Wheaton
Assistant Professor
Intelligence Studies Department
Mercyhurst College


One of the more interesting theses I have supervised over the last several years was Lindsey Jakubchak's The Effectiveness Of
Multi-Criteria Intelligence Matrices In Intelligence Analysis
. Lindsey's thought was to take a version of the well-tested school of operational methodologies often referred to as multi-criteria decision-making methods (MCDM) and flip it on its head to turn it into an intelligence method. The results of her experiment show the method as promising in a number of different respects, though, clearly, there is still work to be done.

 

For those of you unfamiliar with MCDMs in general, there are many, many variants of the process and each is accompanied with all of the arguments and counter arguments typically associated with academe. Lindsey just wanted to see if there was any value in her proposition at all, so she chose one of the simplest and most common forms of MCDM to "flip"—a streamlined version of the US Army's Staff Study Method.

 

What do I mean by "flip?” MCDMs are typically used to help select the most logical course of action based on a given set of criteria. Say, for example, you were looking to buy a car. You had down selected to three particular SUVs but you couldn't make up your mind which one was best for your family. An MCDM would ask you to select the criteria you thought were important to you and your family (seating, reliability, gas mileage, storage, etc) and then rate each car, using a matrix to sort the results. Arguably, the car that best meets your criteria is the one you should select (Anyone familiar with Consumer Reports, for example, knows that this is the way they come to their conclusions about various products).

 

What if it is not you buying the car, though? What if you are trying to figure out what kind of car a friend might buy? Your friend might prefer sports cars to SUVs and have an entirely different set of criteria for choosing one. That's what I mean by "flip.” What if you could use an MCDM not as a tool to help you make better decisions but as an intelligence analysis method to help you figure out what an enemy, a criminal or a competitor is likely to do? That was what Lindsey set out to test and she gave her method a name - the Multi-Criteria Intelligence Matrix.

 

 

While, due to the topic she decided to explore—Russia's relationship with OPEC—she was not able to evaluate forecasting accuracy (though I give her full points for trying), she was able to compare her experimental group to the control group in a number of other interesting ways. Using the standards in ICD 203 as a guideline, she was able to say a couple of interesting things like:

 

"Although the experimental group indicated a lower level of knowledge in regards to the topic (Russia’s relationship to OPEC) and expressed a lower level of interest with the topic, both of which were found to be statistically significant, the experimental group was able to arrive at a broader range of possible Courses Of Action (COAs)."

 

"The average completion time for the control group was 70 minutes and the average time for the experimental group was 58.6 minutes. Therefore, when looking at the big picture, although the experimental group seemed less knowledgeable and less interested, they were able to arrive at a more complete list of relevant possible COAs, and they completed their analysis in less time."

 

"While a few students in the control group provided one or two alternative COAs, the majority of the student-analysts merely provided one COA with few comparisons to any alternatives, thus not providing any insight to whether or not alternative solutions were considered. In the experimental group, the student-analysts, who used MCIM, provided a list of all possible COAs, and identified the importance of specific criterion or various factors to those COAs."

 

In the end, the study suggests the method has promise and, with Lindsey's results in hand, it has more evidence to back it than many other, more widely taught, methods. Download the full thesis here.

 

Download the full thesis here.

 

Reference:

The effectiveness of multi-criteria intelligence matrices in intelligence analysis. Lindsey N. Jakubchak. A thesis submitted to the faculty of Mercyhurst College in partial fulfillment of the requirements for the degree of Master of Science in Applied Intelligence. May 2009. 131 pages.

 

About the author:

Kristan J. Wheaton is an assistant professor of intelligence studies at Mercyhurst College in Erie, PA, where he teaches both graduate and undergraduate courses within the Department of Intelligence Studies. Kris holds a JD from the University of South Carolina, an MA in Russian and East European Studies from Florida State University and a BBA in Accounting from the University of Notre Dame. He is a retired Foreign Area Officer from the U.S. Army who specializes in national security matters. Kris can be reached at  kwheaton@mercyhurst.edu




Bookmark and Share    


Competitive Strategy Workshop
Sept. 15, 2010
San Jose, CA


Latin American Summit
Oct. 5-7, 2010
Sao Paulo, Brazil
Agenda available NOW!

Asia Pacific Summit
Oct. 19, 2010
Singapore

European CI Summit
Nov. 16-18, 2010
Barcelona, Spain
Agenda available NOW!


SCIP 2011
International Annual Conference & Exhibition

May 9-13, 2011
Orlando, FL


more
smartorg



 
September 10, 2010
Creating the Roadmap to
World-class CI programs
SCIP Minnesota Chapter
Sept. 28-29, 2010
Starting and Managing a CI Function
Alexandria, Virginia
September 16, 2010
Scenario Building
SCIP Italia
We Want Your Input
Call for Papers
Subscribe Me
Subscribe a Friend
To Advertise
COMPETITIVE INTELLIGENCE MAGAZINE
Highlights from past issues
of SCIP’s quarterly publication:
Actionable Intelligence in an Imperfect Environment: A Guide to CI in India (Chitale)
Accelerated Analysis:
the Mercyhurst Method (Chido/Lyden)
Applying Competitive Intelligence
in the Public Sector (van de Kraats)
Frost and Sullivan
 
Join SCIP
SCIP Blog
SCIP LinkedIn Group
CI News
Job Board
Event Calendar
Webinar Archives
SCIP Bookstore
Board of Directors
SCIP Chapters
 
Frost and Sullivan
 
  The Strategic and Competitive Intelligence Professionals (SCIP) merged with the non-profit Frost & Sullivan Institute in 2009. The partnership between Frost & Sullivan Institute and SCIP provides a powerful opportunity to enhance the benefits SCIP offers its members.
 
 
 

PRIVACY POLICY:
We are committed to protecting your right to privacy. © 2010 Frost & Sullivan
This message was sent to you by Frost & Sullivan, 7550 IH 10 W, Ste. 400, San Antonio, TX 78229. If you would prefer
not to receive further messages from this sender, please click here or reply to this email and place the word REMOVE in the subject line.