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Who should attend
- New Leaders
- Senior Leaders
- General Managers
- Department Heads
- Decisions Makers who impact the success of their functions or organizations
About the course
Every day, executives are called upon to make innumerable decisions – some mundane, some momentous. Some of these decisions will determine the very survival of their businesses or their own careers. The Executive Decision Making program helps participants make decisions that produce better outcomes for themselves and their organizations. Learn how your intuition guides you and about the mind traps that can impair effective decision making. You'll leave with the tools to identify accurate, reliable information to make sound decisions that will position your business for success.
Hone Your Decision-Making Intuition Learn how your intuition guides you, how to overcome the mind traps that can impair effective decision-making, and how human decision biases can create opportunities to positively influence people.
Harness the Power of Data Develop the skills to collect, test, and identify accurate and usable data to build a solid foundation of evidence and inform better business strategies.
Practice Advanced Tools & Build Your Confidence Explore advanced tools (such as pre-mortems) to help you build confidence and make sound decisions - without fear - in the face of risk and uncertainty.
Enable Sustainability & Long-Term Decision Making Learn how to anticipate the downstream effects of your decisions and maintain critical thinking skills while balancing trade-offs and considering larger business goals.
The Executive Decision Making program curriculum covers the following topics:
TOPIC 1 | Thinking Critically About Information
- Distinguishing between trivial and vital data
- Experiments vs. observational data
- A/B testing and experimental design
- Balancing the interests of different stakeholders
TOPIC 2 | Rational Decision Making
- Tools for rational decision making
- Thinking through uncertainty and probability
- Assessing risk and reward with expected values
- Using pre-mortems to anticipate and prevent future disasters
- Thinking through complex contingencies
- Applying rational tools in complex organizations
TOPIC 3 | Avoiding Decision Mind Traps
- Biases in judgment and decision making
- Common problems with how people collect, analyze, and interpret data
- Cognitive shortcuts that inhibit the decision-making process
- Short-term thinking that imperils your long-term interests
TOPIC 4 | Sustainability and Long-Term Decision Making
- Thinking about the larger goals of your business
- Understanding the relationship between sustainability and strategy
- Trading off competing interests
- Anticipating the downstream consequences of your decisions
TOPIC 5 | Effective Decision Making in Practice
- Changing habits of mind that aren’t serving you
- Changing dysfunctional organizational routines
- Coaching those with whom you work to help them make better decisions
- How effective decision-making strategies affect the qualities of a good leader
- Applying these lessons in daily life
Education PhD, Economics, Stanford University H.Dip, Mathematical Sciences, University College Dublin BA, Economics and Psychology, Georgetown University Positions Held At Haas since 2010 2010 – present, Assistant Professor, Haas School of Business External Service and Assignments ...
Education PhD, Organization Behavior, Northwestern University MS, Organization Behavior, Northwestern University BA Magna Cum Laude, Psychology, Carleton College Positions Held At Haas since 2010 2016 – present, Professor, Management of Organizations Group, Haas School of Business 2...
Education PhD, Psychology and Business, University of Chicago Booth School of Business (Behavioral Science), University of Chicago (Social Psychology) MBA, University of Chicago Booth School of Business 2012-2014 MA, Social Psychology (Minor: Advanced Methods and Statistics),The University of...
Education Ph.D., Doctoral School of Organization & Management Studies, Copenhagen Business School MBA, International Business, University of Minnesota B.S., Industrial Engineering, University of Wisconsin Positions Held At Haas since 2014 2014 – present, Executive Director, Ber...
David Bamman is an assistant professor in the School of Information at UC Berkeley, where he works on applying natural language processing and machine learning to empirical questions in the humanities and social sciences. His research often involves adding linguistic structure (e.g., syntax, sema...
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