Scorable question types in Teamgage Surveys

Scorable Question Types In Teamgage Surveys

Teamgage Surveys is a new offering from Teamgage for when you need a more traditional survey.

We want your survey results to be easy to review. That's why the Scale and Likert question types, along with the overall survey, will display a colour coded score:

A dark red alerts you to a very low score that needs your attention, while a deep green says this score is about as good as it can be! So, in the example below, a score in light green of 72 shows the scoreable questions asked in this survey have received pretty positive results!

Overall survey score screenshot showing 72 in green.
If you're a customer that has customised these colour thresholds in other parts of Teamgage, we have a feeling you might want to use them here too?! Although we can't do that in Teamgage Surveys right now, please keep in touch with your Customer Success Manager about this feature.

How is the score calculated for a Scale question type?

First of all, here's an example of a Scale question for someone filling in a survey:

And here's how the results will look when some responses have been received: 
Note the amber Score of 60, summarising the mixed responses about "going to work."

Score Calculation
In the example above there's been 10 responses spread across score options 0 to 5.

We then add (Score 0 x 1 response) + (Score 1 x 1 response) + (Score 2 x 1 response) + (Score 3 x 3 responses) + (Score 4 x 2 responses) + (Score 5 x 2 responses) = 30

To then get a score out of 100, we take 30 / (10 responses x a maximum score of 5) = The Score of 60

How are scores calculated for Likert question types?

Each row of a Likert question type is essentially a question in it's own right. Therefore, we apply the same method as above to each row and then display the average score for the Likert as whole.

Always make sure the strongly agree option is treated as the "best outcome" and the strongly disagree option is treated as the "worst outcome", as the scoring on results will reflect that. What we don't want is inconsistency like:
Question 1 - I love working here
Person clicks "Strongly Agree" 
Question 2 - I'd recommend working here 
Person clicks "Strongly Agree" 
Question 3 - I'm looking to leave
Person clicks "Strongly Agree" 

How are scores calculated for the entire survey?

A score for the entire survey is calculated by averaging the score across all scorable questions, remembering that each row of the Likert is considered a question. We then also apply a weighting by the number of responses received for each question. This ensures an accuracy and fairness to the overall score shown.

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