Notes
Outline
Ten Steps to
Robust Decisions:
Building Consensus and using iDecision in
Product Development and Business
David G. Ullman
Professor, Department of Mechanical Engineering Camas
Oregon State University 800 NW Starker Ave
Corvallis Oregon, 97331 Corvallis 97330
541-737-2336 541-738-8701
ullman@engr.orst.edu ullman@camas.org
www.engr.orst.edu/~ullman
"The solution of most problems..."
The solution of most problems require the evolution of information punctuated by decisions
For the vast majority of problems, there are no right answers, only satisfactory answers.
A decision is a commitment to use resources.
Slide 3
Slide 4
Value of Information
Slide 6
Design Problem Solving
  Planning is about 75% deduction
If <situation> then do <this activity>.
  Design work is only 13 % deduction
  Design is mainly search
Develop criteria
Generate alternatives
Compare alternatives to criteria
Decide what to do next
Decision-making flow
Importance of
Criteria Development
Importance of
Generating Alternatives
Robust Decision-Making Model
Slide 12
Robust decision-making means following a strategy that eliminates all the noises possible within the resources available, and then making a decision that is as insensitive as possible to the remaining noise conditions.
Robust decision-making works to minimize the risk of choosing a poor alternative
The risk of solving the wrong problem or               Envisioning Risk
The risk of not developing good alternatives or          Ideation Risk
The risk of choosing a poor alternative or              Evaluation Risk
The risk of not following a beneficial strategy or       Strategic Risk
The risk of not being able to implement the decision or Execution Risk
The risk of not being able to solve the problem or     Problem Solver Risk
The risk of not getting the best from the problem solvers or Organizational Risk
10 Steps to Robust Decisions
Ten steps can be applied when:
The problem has known or discoverable boundaries;
There are many potentially acceptable alternatives for solving the problem.
It is possible to develop criteria that measure how well the alternatives solve the problem.
One or more people have a stake in the solution of the problem.
All decision-makers must be interested in solving the problem.
Benefits of using the methods 1/4
Encourage sound decision-making skills
Organize decision-making to be most effective.  Most decisions are ad hoc; fashioned from whatever is immediately available.  Often this just isn’t good enough.
Make robust decisions, decisions that are insensitive to things you can not control.
Communicate what is important to other team members.  The largest single problem in teamwork is poor communication.  The methods presented give a framework for decision-making communication.
Benefits of using the methods 2/4
Help the team develop a common understanding of the issue and its alternative solutions.
Make meetings more effective.  The methods help structure meetings by developing a strategy and organizing information for easy review.
Understand why a decision is not being reached and develop a strategy to resolve the issue. Often a problem is not being resolved and the only action is frustration.  The methods help get problems unstuck.
Benefits of using the methods 3/4
Understand how to get the best out of the people on the team.  Teams are often dominated by a few.  The methods help even the playing field.
 Analytically support decision-making regardless of completeness of the problem, the qualitative nature of the evaluation or inconsistency of team member opinions about what is important.
Rationally decide what to do next to reach a robust decision.
Benefits of using the methods 4/4
Convince managers that the team has carefully studied the problem and which solution should be implemented.
Easily develop documentation of the decision.
Reveal the process of decision making for review and reuse.  Understanding and refining the process is important and more easily done if it is structured as developed in this book.
Reduce the need to rework the results of non-robust decisions.  In industry this is often referred to as “fire fighting.”  Fire-fighting takes valuable time from working on new issues.
Introduction to ConsensusBuilder/iDecision
Slide 22
Example with Alternatives A1 and A2 and criteria C1 and C2
Slide 24
Very high knowledge and confidence for A1 meeting C1 and C2
Neutral confidence for A1 meeting C1 and C2
Low knowledge results
Evaluation for A1 with even weightings for C1 and C2
Evaluation for A1 with weightings skewed toward C2
Example with Alternatives A1 and A2 and criteria C1 and C2
With 2 decision makers
From M1’s viewpoint
From M2’s viewpoint
Strategy for what to do next 1/2
Strategy for what to do next 2/2
10 Steps to Robust Decisions
Slide 37
Slide 38
Slide 39
Workflow Support
End of Introduction