The most important decision we make is whether we believe we live in a friendly or hostile universe.Thomas Edison

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Decision tree analysis is a statistical tool for determining the mathematically correct decision in a situation with cascading events and multiple levels of uncertainty. You map out the nodes of events and decisions, assign best-guess probability to each uncertain event and weight the importance of each node against the outcome. So far so good... there are software packages like Treeage and DecisionPro for solving these trees but the problem is the accessibility to the common person - you have to be a statistician to be able to use this stuff right now. One of the projects we slated for development in Grid7 was "DiscoverPath" in which we would provide a wizard-driven web interface for creating the decision tree on a critical decision like whether or not to buy a new car or take a new job. This is a service that would be prime for a web app using a subscription model. It would also allow for nifty features like syndicating decisions and have a library of common treemaps.
I came up with this while using the Vangard DecisionPro product and realizing that it was far too complicated, expensive and required windows to work. It has no ubiquitous access, friendly interface or social features that allow one to share his/her decsions with others in a collaborative manner. Also there should be a library of "decision components" that can get you started with common ones. If this gets built please somebody buy me a doughnut.
As a psychologist (almost!), we do a lot of work with people making decisions. If the technical jargon is removed;
"Decision tree analysis is a statistical tool for determining the mathematically correct decision in a situation with cascading events and multiple levels of uncertainty"
what you are essentially left with is a mind-hack - a guided efficient decision making process. I can visually imagine these decision trees unfolding in therapy, and the discussions that could focus around the different elements of the decision tree. Often visual cues/anchors are required in therapy to help drive home points.
Simply put - if this is printable and interactive, I would use this in therapy. If this projects gets moving, I would love to be involved
PS - ill get you that damn doughnut!!!
sweet!! i like devil's food and powdered doughnuts the best... ;-)
you can try out the desktop-based decision tree analysis products out there right now on either treeage.com or vanguardsw.com. You actually don't need software at all to map out a decision tree but it makes it easier and solving the tree is a trivial task on a computer.
Porting this type of app to the web and then enabling the collaborative and component library aspects plus adding a wizard-driven quickstart interface are the key differentiators. The incumbent players are not going to pursue this because pushing an alternate low-dollar subscription-based model would cannibalize their current high-margin desktop software products. It will be a disruptive play from a new entrant that makes this happen.
definitely try it with your patients/clients - seeing the visual tree of consequences is useful in itself even without the probabilities and weights added.
sean
Using a decision tree is one way of sorting out what matters from what doesn't.
It has the capacity (as PsychSplash pointed out) to be used elsewhere, not just in financial decisions.
You do have the garbage in-garbage out problem to contend with. The reputation of the product will suffer if it is not robust enough to properly serve the users in the target market, if it is going to a mass market.
I know there is an Excel add-in for decision tree analysis (sold inexpensively by a third party as shareware). What that type of product needs to give it mass appeal is a GUI and user-friendly hand-holding to walk people through the process. (If the customers are not into math & stats).
BTW when n=1, I'm not convinced that the result of using a decision tree is necessarily the best answer, but I think that going through the analytical process forced by the tree leads to a more considered decision.
Voting it up, cheers.
Jill,
thanks. clearly the ease of use of the interface and an effective video tutorial would be the determinant whether it achieves mainstream usage or not. I could see doing a wizard interface that asks a series of questions to generate the tree. Once there is a decent library of commonly-made decisions like whether or not to refinance a house or take on a new rental property, you could make it so the user chooses from an existing component to work with and modify to their needs.
your assessment of the "garbage in/ garbage out" phenomena is correct - the trees are only as good as the info that's fed into them so confidence in the accuracy of probabilities and weighting on the part of the user is imperative.
thanks for the feedback
sean
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