MODULE 1: An Introduction to Decision Analysis (DA)
The Value
We begin Module 1 by considering the value of DA; why should we employ decision analysis?
When neglected, decision analysis can become less analytical and more of an exercise in organizational politics. As observed by Garvin and Roberto (2015), there are many negatives organizational consequences when DA is less characterized by critical thinking and more by persuasion and lobbying. Outcomes gravitate away from a systems approach striving for collective ownership of problem solving and potential win-win solutions toward a binary output of winners and losers:
When DA is not objective, bias can creep in! As noted by Jesse Richardson, author of the website Your Bias Is, "cognitive bias means there’s a kind of misfiring going on causing us to lose objectivity." You can view several commonly encountered bias in the interaction below:
1. Using at least two tools, e.g. EDraw, Lucid Chart and TreePlan, construct a decision tree using the following data:
Identify the optimal decision among the three choices! Bring a hardcopy of the file with you to our next session.
2. After viewing the required viewing on Lucid Chart below, construct a decision tree using Lucid Chart that mirrors the following:
Identify the optimal decision among the three choices! Bring a hardcopy of the file with you to our next session.
3. After purchasing TreePlan, construct a decision tree for the DriveTek Scenario as found on page 205 of their guide:
For this assignment, you must use the excel add-on known as TreePlan! You must upload a pdf version of this assignment into Blackboard (see the Week one Folder).
Kassirer, J. P. (1976). The Principles of Clinical Decision Making: An Introduction to Decision Analysis. The Yale Journal of Biology and Medicine, 49, 149-164. Retrieved August 28, 2017. Available here