This objective outlines the process of using a spreadsheet in decision making. It introduces a special type of spreadsheet called a "what if" model. A "what if" model is an important decision support tool that can provide additional information about your problem. This additional information allows you to make better decisions.
Step 0: Be able to recognize when a spreadsheet can be applied. In practice you will start with a problem and need to be able to recognize that a spreadsheet can be used to help find a solution. With the knowledge and experience you gain from this module on spreadsheets, you should be prepared to recognize the characteristics of a problem that make it amenable to analysis by a spreadsheet.
Step 1: Understand the problem. At this point you are not sure a spreadsheet will be part of the solution to the problem. You may suspect that a spreadsheet will be helpful, but you can't be sure until you understand the problem better.
Some problems start out vague, like "how can I save money?" or "where should I invest?" Before you can solve the problem, regardless of what method you use, the problem should be stated with enough specificity that you understand the range of possible solutions. For example, the range of possible solutions to "how can I save money?" is very large. "Which loan should I pay off first?" is much more specific, and has a clear and manageable range of possible solutions. Some other examples of clearly defined problems are:
Once you understand the problem you are better able to decide if you want to use a spreadsheet to help determine the solution.
Step 2: Design the spreadsheet. Most spreadsheets used for decision making fall into one of two categories: (1) those that calculate a solution, and (2) those that simulate the domain. For example, Problem 1 above, "Is it more expensive to buy or lease a new car?" probably requires a spreadsheet that calculates a solution. The spreadsheet would most likely have two sections, one that calculates the cost of leasing a car for some number of years, and another that calculates the cost of buying the same car. The solution space is small (buy or lease) and the spreadsheet can be used to determine the cost of each.
Problem 2 above is more complex, has a larger solution space, and probably requires a spreadsheet that simulates the domain. One of the characteristics that makes this problem more complex is the dependent nature of the variables. A simulation for Problem 2 would probably have as input:
The simulation would most likely calculate:
Finding a solution to this problem is a matter of trying different scenarios or sets of input until one is found that is most desirable or a reasonable compromise. What makes this solution different from the solution for problem 1 is that you are not so much interested in the results calculated by the spreadsheet, but rather the set of inputs that maximize some criteria.
Although there is no algorithm or process for designing a spreadsheet that works in all cases, there are a few activities that might help you make progress:
Step 3: Do it! (create the spreadsheet) In this step you will use the capabilities of a spreadsheet to implement the solution described by the design created in Step 2. The design process creates a solution plan that is independent of a particular implementation. During the design process you may have been thinking about implementing the solution plan as a spreadsheet, but there should be nothing in the design that requires it.
The process of creating a spreadsheet from specifications or a design calls upon most of the skills that have been covered prior to this lesson. Here are a few specific comments related to creating a spreadsheet for decision making:
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