In my previous article, I talked about all that you need to know about project selections for projects. In this article, I want to talk about all that you need to know about scoring and rating systems for projects. Follow me as we are going to look at that together in this article.
Now the scoring and rating systems …
#1 Decision tree
In a decision tree model, selection criteria are arranged along the branches of a new flowchart. The project is evaluated against criterion #1 on branch #1. if the project needs the criterion, it travels down to branch #2 where it is evaluated against criterion #2, and so on.
If the project fails to meet any one criterion, it is removed from consideration.
#2 Criteria profiling
This is similar to the decision tree model in that the project is evaluated using one criterion at a time. However, in the model, the project continues to be considered even if it fails to meet some of the criteria.
At the end of the consideration, the project is then compared to other projects also under consideration. The standard format of criteria profiling is considered an unweighted factor model because the same score is assigned to each criterion in the profile.
#3 Q Sorting
In a Q Sorting model, a group of people rate the relative priority of a number of projects. The process begins by determining rating criteria. Each group member is given a deck of cards with a different project listed on each card.
Each group member sorts the deck into high, medium and low priority, based on the predetermined criteria.
The high-priority projects are further sorted to identify very high-priority projects. The group compares its high-ranking project selections. Any projects they decide to pursue will be chosen. among the consensus of high-priority projects.
#4 Delphi technique
The technique allows experts to be located remotely and remain anonymous, yet still participate in group decision-making. People participating in a Delphi process are given criteria, asked to rate a project on a zero-to-ten scale, and to provide reasons for their ratings.
The resulting statistics are fed back to the participants along with a summary the group’s reasoning.
Participants can then revise their ratings based on the group findings. The process repeats until some predetermined score is reached.
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