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Knowledge Element: Customer preferences

Definition of Knowledge Element:

Know what the preferences of the end users are regarding a product or service

A very brief summary of the Knowledge:

Where the company works directly with customers, their particular preferences need to be taken into account, for instance, where a service is effecting the environment that people interact with on a regular basis, the preferences of those people need to be considered when the service is delivered.

A summary of expert opinion:

The knowledge named 'Customer preferences' is considered to be quite important.
In addition, the knowledge is thought to be quite difficult to replace, it is mostly learned by study, and Between 7% and 30% of Group are Experts.
It is also knowledge mostly used generally, and quite stable knowledge.
See Parameter table below for more detail.

Risk:

This knowledge element has a risk value of 4.6, whilst the average risk for the whole knowledge structure is 4.862. Consult the RISK page for more details.

Knowledge linked by learning dependency:

Postrequisite knowledge implies that Customer preferences 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.

Customer preferences has no prerequisite knowledge items and is therefore known as a leaf node. A leaf node is knowledge that has not been investigated further when the map was constructed.

Parameters assigned for Customer preferences.

Parameter Details for: Customer preferences
Identifier Name Value Clarifier Weight Study Mean
P1
Importance
4.0
quite important
1.0
6.34
P2
Recovery
6.0
quite difficult to replace
1.0
3.38
P3
Study-Exp
3.0
mostly learned by study
1.0
3.46
P4
Known By
3.0
Between 7% and 30% of Group are Experts
-1.0
2.80
P6
Specialised
2.0
knowledge mostly used generally
1.0
5.05
P7
Stability
4.0
quite stable knowledge
-0.7
6.41

People Involved with Customer preferences:

PersonExpertCapableResponsible
N S Jones
Yes
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