Service and Delivery
Knowledge Element: Design service evaluation schemes
Definition of Knowledge Element:
Know how to design schemes that will evaluate the performance of a service in terms of its quality and efficiency. This includes knowing how to decide upon the factors that will be used as metrics for a service.
A very brief summary of the Knowledge:
It may be impossible to measure every aspect of a service so it is important to be able to identify key points within a service or elements of the service that are indicators of success. When the factors to monitor are chosen, it is then necessary to decide how they will be monitored, how often they will be monitored and how frequently the data will be inspected. It is also necessary to set a baseline standard so that any improvement can be clearly seen.
A summary of expert opinion:
The knowledge named 'Design service evaluation schemes' is considered to be very slightly important.
In addition, the knowledge is thought to be very difficult to replace, it is mostly learned from experience, and Less than 6% of the Group are Experts.
It is also specialised knowledge, and quite frequently changing knowledge.
See Parameter table below for more detail.
Risk:
This knowledge element has a risk value of 7.0, whilst the average risk for the whole knowledge structure is 4.862. Consult the RISK page for more details.
This knowledge is one of the higher risk items in the knowledge structure. Its risk value of 7.0, can be compared with the average risk for the highest ten percent of the knowledge, of 7.412 and the average risk for the whole map stated above.
The average risk of the prerequisite family of this knowledge node is 4.622 (adjusting for nodes with few members of the prerequisite family).
The average normalised prerequisite family risk of the whole map 2.122, whilst the average for the top ten percent family risk is 5.152.
Knowledge linked by learning dependency:
| Service Evaluation |
| Design service evaluation schemes |
|---|
| Establish evaluation criteria |
Postrequisite knowledge implies that Design service evaluation schemes must be understood before for a person can gain a full understanding of the knowledge listed in the top row of the Linked Knowledge table.
Prerequisite knowledge (bottom row in the Linked Knowledge table), is knowledge that should be understood before a full understanding of Design service evaluation schemes is possible.
This node has a prerequisite family consiting of 3 nodes, including the direct prerequisite knowledge shown above.
Parameters assigned for Design service evaluation schemes.
| Identifier | Name | Value | Clarifier | Weight | Study Mean |
P1 |
Importance |
3.0 |
very slightly important |
1.0 |
6.34 |
P2 |
Recovery |
8.0 |
very difficult to replace |
1.0 |
3.38 |
P3 |
Study-Exp |
7.0 |
mostly learned from experience |
1.0 |
3.46 |
P4 |
Known By |
0.0 |
Less than 6% of the Group are Experts |
-1.0 |
2.80 |
P6 |
Specialised |
7.0 |
specialised knowledge |
1.0 |
5.05 |
P7 |
Stability |
3.0 |
quite frequently changing knowledge |
-0.7 |
6.41 |
People Involved with Design service evaluation schemes:
| Person | Expert | Capable | Responsible | N S Jones | Yes |
--- |
--- |
|---|
Computed Similarity
The most similar node to Design service evaluation schemes is Design service improvements.
The most dissimilar node to Design service evaluation schemes is Basic OS usage.