Context Rating

Ratings carry inherent meaning. Nevertheless, sometimes the meaning a rating carries is not enough. Especially if there are a plethora of different ratings, segmenting and assessing different perspectives on these ratings can be powerful. To this end, assigning context to a rating will allow you to further understand and collect insights on where certain ratings come from as well as why they were given.

What is Context Rating?

However, what is a context in our world? A context is anything that frames a certain topic. For instance, a salesperson will see the world through different eyes compared to an R&D person. Here the setting from where both come from will frame their view on certain topics. Therefore, knowing where the views stem from will contextualize the given information by inherently assigning meaning to views that could differ based on different backgrounds.

Let’s stick with the example of different Business Units (BU) i.e. Sales, R&D, HR, etc. Within the tool, there is the possibility to assign a User a respective business unit. 


Now if this user rates any element such as a trend this rating will of course play into the overall aggregated rating for that particular element. However, the context in which this person rates will also be stored and considered. This can now be easily used and assessed by using the Rating Analysis tab. There you will find a field called “Compare ratings”. This field allows you to select Business Units additionally to the “average rating” and “my current rating”. In total up to two selections can be made that will then be reflected in the spider web diagram. This could, for instance, be used to either compare ratings between two Business Units stemming from different backgrounds i.e. context such as Sales and R&D. Alternatively, this could also be used to assess the aggregated views on certain elements through rating by looking at the rating accumulation between two Business Units. Meaning instead of comparing Sales and R&D we can now view how both BUs would rate an element in an aggregated way.



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