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
10 Steps to Robust Decisions
Robust decision-making works to minimize the risk of choosing a poor alternative
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
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
Problem Solver Risk
The risk of not being able to solve the problem
Individual Decision-Making Success =
Cognitive Ability +
Cognitive Style +
Decision-Making Knowledge +
Problem Knowledge +
Available Resources
 Information-processing system
Individual Decision-Making.
Implications of Model
Every person's understanding of the problem is different.
We recall previous solutions to similar problems or sub-problems to form alternatives. This can get us stuck on a single alternative.
The ability to evaluate is dependent on the knowledge about the alternatives.
Cognitive Style
PROBLEM SOLVING STYLE
INFORMATION MANAGEMENT STYLE
DELIBERATION STYLE
DECISION CLOSURE STYLE
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Knowledge, confidence and belief about alternative solutions
Knowledge and Confidence
Knowledge is a measure of the information held by a decision-maker about an alternative.
Confidence is a measure of how likely the evaluator believes that an alternative meets a criterion.
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"Team Decision-Making Success ="
Team Decision-Making Success =
Mix of Individual Cognitive Styles +
Shared Decision-Making Knowledge +
Shared Problem Knowledge +
Mix of Alternative Visions +
Criteria Understanding Inconsistencies +
Criteria Importance Differences +
Team Roles +
Team Structure +
Available Resources
The Relationship between Robust Decisions and Time, Money and other Resources
The time, money and resources spent making a decision affects decision robustness.
A decision is a commitment of resources.
The robustness of the decision-making process is inversely proportional to the time and money it may take downstream to fix the results.
Corporate Decision-Making Styles
Decision by running out of time
Decision by fiat
Decision by coercion
Decision by Competition
Decision by voting
Decision by Inertia
Decision by Compromise
Decision by Collaboration
Cost for
Engineering changes during product development
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Envisioning =Understanding the Problem
Step 1.   State the issue.
Step 2.   Identify the customers.
Step 3.   Itemize solution features.
Step 4.   Define targets.
Step 5.   Measure importance.
Must know issue and criteria for a robust decision
"Step 1:"
Step 1: State the Issue. 1/6
1.1 Write a single sentence that describes the issue, question, task, problem statement or area of concern.
An issue is the current focus of problem solving requiring the development of new information. A decision made about an issue is generally a call for action dependent on the selection of an option or activity to satisfy some criteria associated with the issue.
An issue can be stated as a goal, question, task or problem statement, or area of concern.
Some issues are:
Design a front suspension system for a bicycle.
What car should I buy? I want to go fast, in comfort.
What should I do next on this project?
How can we keep the brakes from squealing and still have good deceleration?
What are we going to do about Bob?  He seems so disruptive.
Find the best employee from the local talent pool for the new marketing position.
Where is the best place for our new factory?
What is the best Java applet to change the cursor color?
"Step 1:"
Step 1: State the Issue. 2/6
1.2 Identify the object, function or process on which activity is focused.
Issue = (Object, Function or Process) + Action
"Step 1:"
Step 1: State the Issue. 3/6
1.3 Identify the desired action on the object, function or process.
"Step 1:"
Step 1: State the Issue. 4/6
1.4 Itemize the initial criteria.
1.5 Capture initial alternative solutions.
"Step 1:"
Step 1: State the Issue. 6/6
1.6 Identify the source of the issue.
Type 1: Direct Issue decomposition
Type 2: Alternative generated issues
Type 3: Criteria generated issue
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Truths about Criteria
If you don’t write down the criteria, they will change during problem solving – in product development this is commonly called “feature creep.”
If you don’t know what defines a satisfactory solution, the only way you know you are done is when you run out of time.
If you don’t articulate the criteria, different team members will be working toward different goals (trying to meet different criteria) while believing they are working together on the same issue.
If you are not careful, you will not make good use of the fact that no two problem-solvers on a team believe the same criteria are important.
 Encourage the refinement of criteria.
"Step 3:"
Step 3: Itemize the important features of a solution.  1/3
List the features included in the issue statement.
Criteria = Feature + Target  + Importance
"Step 3:"
Step 3: Itemize the important features of a solution.  2/3
Add features based on those of previous and competitive solutions to similar problems.
Refine by listening to voice of the customers
Develop and use feature checklists to aid in completeness.
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"Step 3:"
Step 3: Itemize the important features of a solution.  3/3
Refine the list of features to insure that the criteria are complete, orthogonal, clear, universal, discriminatory, and measurable.
Categorize all features as basic, performance or excitement.
Insure all features are external.
Kano’s Model of Customer Satisfaction
"Step 4:"
Step 4: Define targets for features. 1/2
Identify the basis for evaluation.
"Step 4:"
Step 4: Define targets for features. 2/2
Identify the target goal value, units, and type.
Insure criterion conditions are known.
Refine weak criteria by identifying ways of measuring feature and transforming to strong criteria.
The parts of criterion targets
"Step 5:"
Step 5: Measure characteristic importance for each customer. 1/2
Plan methods to honor various customer viewpoints.
Measure importance from each customer viewpoint using the fixed sum or ranking method.
Fixed Sum Method
 the sum of all the weights must equal a fixed number.
3 -5 times the number of criteria.
Ranking
asking customers to weigh criteria is so fraught with error that it is easier and no less accurate  (if more than 6 criteria)just to ask them to rank them.
ask the question, " if an alternative scored 0 on all criteria (worst possible alternative) and you could improve just one score from worst to best, which criteria would you choose to improve”?
pair-wise fashion by selecting two criteria and asking, “If an alternative could only meet one of these, which criteria would you choose”.
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Ideation Risk
The risk of not developing good alternatives
Step 6. Generate Alternative Solutions. 1/5
Build management structures to encourage the development of many alternative solutions.
"Step 6."
Step 6. Generate Alternative Solutions. 2/5
Build working environment to encourage creativity.
"Step 6."
Step 6. Generate Alternative Solutions. 3/5
Utilize structured methods to aid in generating alternatives.
Morphology, organizing to help generation
Brainstorming as a Source of Ideas
Using the 6-3-5 Method as a Source of Ideas
Using Existing Products and Concepts as Idea Sources, Benchmarking
"Step 6."
Step 6. Generate Alternative Solutions. 4/5
Refine alternatives to insure distinctness and variability.
Distinct alternatives are readily distinguishable from each other.
Variability implies that the alternatives cover the range of potential solutions
Ideation Risk
The risk of not developing good alternatives
Step 6. Generate Alternative Solutions. 5/5
Monitor the characteristics of new alternatives to provide an alternative filter or criteria amendment.
Note new issues generated by alternatives
Evaluation risk
Step 7.   Measure level of knowledge.
Step 8.   Assess confidence/ determine belief.
Step 9.   Determine overall evaluation.
"Step 7:"
Step 7: Measure the decision-makers’ knowledge of the alternatives. 1/2
Assess decision-maker’s knowledge about the alternatives’ features.
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A Proverb about knowledge
Knowledge scales
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"Step 7:"
Step 7: Measure the decision-makers’ knowledge of the alternatives. 2/2
Identify methods to increase knowledge and their costs.
Analysis either formal or informal
Experiments
Consultants
Vendor representatives
Referencing prior documented work
Leveraging team knowledge off the knowledge of the individual team members
"Step 8:"
Step 8: Determine decision-maker’s belief. 1/3
Assess the decision-makers’ confidence in the alternatives’ ability to meet the criterion target.
Confidence scales
"Step 8:"
Step 8: Determine decision-maker’s belief. 2/3
Determine the decision-makers’ belief in the alternatives' ability to meet the criterion target.
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"Step 8:"
Step 8: Determine decision-maker’s belief. 3/3
Note the evaluation risk in this level of belief.
"Step 9."
Step 9. Determine the decision-makers' overall evaluation of the alternatives. 1/3
Estimate each alternative’s total satisfaction.
Can be found using iDecision
Can be estimated by hand
Can be found using the equation programmed in iDecision
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"Step 9."
Step 9. Determine the decision-makers' overall evaluation of the alternatives. 2/3
Calculate each alternative’s expected value based on all decision-makers evaluation.
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"Step 9."
Step 9. Determine the decision-makers' overall evaluation of the alternatives. 3/3
Compare the alternative’s expected values from various customer viewpoints.
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"Step 10:"
Step 10: Decide what to do next. 1/7
Reach agreement and document the result.
Information to help determine
what to do next
Results of expert knowledge analysis
Belief maps
Importance weightings
Quality and number of alternatives
Strength, completeness, orthogonality, clarity, universality, discrimination, and measurability of criteria
The results of the expert knowledge analysis are:
a function of the current customer’s importance weighting.
a function of the current knowledge indicated by the team.
a function of the current confidence indicated by the team.
for reevaluation of one criterion at a time.
Strategy for what to do next 1/2
Strategy for what to do next 2/2
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"Step 10.2:"
Step 10.2: Decide what to do next. 2/7
Further interpret and discuss evaluation information.
Based on belief maps.
Compare interpretation of information.
"Step 10.3:"
Step 10.3: Decide what to do next. 3/7
Develop more evaluation information.
Goal is to refine knowledge and then update belief maps.
"Step 10.4:"
Step 10.4: Decide what to do next. 4/7
Refine solution features and targets.
Return to Steps 3 and 4.
"Step 10.5:"
Step 10.5: Decide what to do next. 5/7
Generate new alternative solutions.
Return to step 2
"Step 10.6:"
Step 10.6: Decide what to do next. 6/7
Negotiate new features, targets or importance weightings.
Return to Steps 3 and 4, but with the intent of modifying the criteria and/or opinions about what is important.
"Step 10.7 : Decide..."
Step 10.7 : Decide what to do next. 7/7
Decompose the issue into sub issues.
Example using iDecision
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.
"I have decided to stop..."
I have decided to stop now!