• What are your "drivers?" The human mind has a hard time juggling information, so analysts need a system to break down complex questions into different characteristics or “drivers.”
• How will you measure performance? Once the question has been solidified and the "drivers" determined, an analyst must decide what metrics they will use to understand how a problemand their solution to itis evolving over time.
• What about the data? Rather than looking at each bit of information on its own and up front, an analyst can only overcome data overload by plugging data into their "driver" categories and excising anything that doesn't fit.
• What are we missing? Complex analysis isn't easy, so it is imperative to assume that the process is flawed, while also knowing how to check for possible gaps and errors, such as availability bias, halo effects, and intuitive versus analytic methodologies.Drawing deeply from his own harrowing experiencesand mistakesin the line of duty, Mudd has spent years refining and teaching his methodology to Fortune 500 companies and government organizations. Now, in the best-selling tradition of Charles Duhigg's The Power of Habit and Oren Klaff's Pitch Anything, Philip Mudd's The HEAD Game can change the way you both live and work.
|Publisher:||Liveright Publishing Corporation|
|Product dimensions:||6.40(w) x 9.40(h) x 1.00(d)|
About the Author
National Security Branch, appears regularly on Fox
News, CNN, and NPR and lectures around the world on methodologies for understanding difficult analytic problems. His writing has appeared in Newsweek, the Wall Street Journal, The Atlantic, Foreign Policy, and the Washington Post, and he is the author of Takedown, a detailed account of intelligence gathering in the hunt for al-Qa’ida. He lives in Alexandria, Virginia.
Table of Contents
Chapter 1 The Art of Thinking Backward 1
Chapter 2 What's the Question? 31
Chapter 3 The Drivers 57
Chapter 4 Measuring Performance 81
Chapter 5 What About the Data? 111
Chapter 6 What are We Missing? 139
Chapter 7 The Finish Line 165
Appendix A Where Are The Traps? Thoughts on Bias 175
Appendix B A Practitioner's Checklist 207
Appendix C Learning From Mistakes-Original Documentation 215