Selecting next project for Software Development Division

Prepared by A. Developer

January 1st, 2000

 

 

As directed by the Board Meeting of December 25th, 1999, the SDD has prepared a decision analysis to help select which project should be undertaken in the new millennium.

Decision Hierarchy Graph

 

 

Hierarchy Graph Comments

This decision model was kept simple, many suggested criteria being discarded during the Brainstorm phase.

CDP Analysis

This decision model has the Goal to prioritize projects.

The main criteria are:

desirability

profitability

feasibility

risk

The model is fully connected and fully rated.

Uncertainty estimates are provided for

revenue

schedule

Background Information

In the decision hierarchy you systematically identify all relations that will require quantification: subcriteria whose relative importance is to be determined with respect to main criteria, alternatives to be measured against lowest criteria. As you consider what is required to discriminate between the various alternatives, you can define new relationships between criteria, add or delete criteria, alternatives and levels. Look to the section Building and Maintaining the Hierarchy for step by step instructions on how to edit and extend the decision hierarchy.

 

Decision Scores

 

 

Lowest Level

consulting 1

pop product 1

major product

pop product 2

consulting 2

niche product

Model Weights

 

manageability

0.75

0.50

0.25

0.00

0.50

0.75

0.05

 

corporate goals

0.75

0.50

0.75

0.25

0.50

0.25

0.07

 

staff interest

0.50

0.75

1.00

0.50

0.25

0.50

0.10

 

follow ons

0.25

1.00

0.75

0.00

0.25

0.50

0.09

 

revenue

0.23

0.13

0.83

0.20

0.10

0.43

0.18

 

costs

0.87

0.90

0.67

0.80

0.87

0.70

0.18

 

schedule

0.75

0.50

0.25

0.75

0.50

1.00

0.09

 

technical

0.75

0.50

0.50

0.25

1.00

0.50

0.13

 

technical

0.75

0.75

0.25

0.00

0.50

0.75

0.06

 

market

1.00

0.75

0.75

0.50

0.50

0.75

0.06

 

Results

0.62

0.60

0.64

0.37

0.51

0.59

 

Decision Scores

On paper, based on initial point estimates, building Major Product appears to be the best alternative. Given the resources that will be required, this will be controversial.

CDP Analysis

Background Information

Now that you have determined the relative importance of the various criteria with respect to the decision goal, and scored the alternatives against those criteria, DecisionPlus calculates the aggregate score for each alternative. If you assigned rules that alternatives must meet to be considered valid solutions, those alternatives that fail those rules are flagged, and the cause of failure may be examined.

Decision Scores with Uncertainty

 

Decision Scores with Uncertainty

When uncertainties in Revenues, Cost and Schedule are introduced, Major Product is highly risky and would not be the best alternative. consulting 1 is the safer choice.

CDP Analysis

Based on point estimates only, Major Product is the best alternative, with a decision score of 0.644.

The alternatives consulting 2 and pop product 2 are significantly poorer than all other alternatives.

Niche product and pop product 2 both fail one or more Rules requirements.

Taking uncertainty into account, consulting1 would be the best solution 46% of the time. major product would be the best 25% of the time, and could be a significantly better choice than consulting1. consulting1 is not a compelling best alternative.

 

Background Information

Now that you have determined the relative importance of the various criteria with respect to the decision goal, and scored the alternatives against those criteria, DecisionPlus calculates the aggregate score for each alternative. If you assigned rules that alternatives must meet to be considered valid solutions, those alternatives that fail those rules are flagged, and the cause of failure may be examined. When you assigned uncertainty distributions to the alternatives ratings, those uncertainties are propagated through the hierarchy and produce distributions in each alternative's decision score, as described in the section Reviewing Your Results

 

Contributions by Criteria

 

 

major product

consulting 1

pop product 1

 

profitability

0.333333343267441

0.16666667163372

8.88888910412788E-02

 

desirability

0.217777788639069

0.141975313425064

0.16666667163372

 

feasibility

0.272592604160309

0.135802462697029

0.111111111938953

 

risk

0.245925933122635

0.104938268661499

0.155555561184883

 

major product

0.194074079394341

8.64197537302971E-02

0.177777782082558

 

Contributions by Criteria

It is the profitability of major product that makes it the best alternative on paper. But that profitability is driven by revenue numbers for which we have very poor estimates with large uncertainties.

CDP Analysis

Major products has the highest contributions from profitability (0.27) and desirability (0.9), which allow it to overcome the lowest contributions from feasibility (0.3) and risk (0.2).

Background Information

Contributions by Criteria (Stacked Bar)

With your first results in front of you, it is time for serious reflection. Examine the stacked bar graphs in the Contributions by Criteria window to see whether the prioritization of the alternatives, as determined by the model, makes sense? See why the best alternative has a higher score compared to the next best.


 

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