Scorable Question Types In Teamgage Surveys
Teamgage automatically calculates scores for scorable survey questions, making it easy to understand overall performance and identify areas that may require attention.
To help leaders quickly interpret results, Teamgage uses a colour-coded scoring system throughout Survey reports. This provides an at-a-glance view of which areas are performing well and which may benefit from further discussion or action.
Understanding the Score Colours
Survey scores are displayed using the following colour ranges:
Score | Colour |
75 - 100 | Green |
| 50 - 74 | Amber |
0 - 49 | Red |
The colour coding is designed to help leaders quickly identify strengths, emerging risks and potential focus areas without needing to review every individual score.
What is a Scale Question
A Scale question allows respondents to indicate how strongly they agree or disagree with a statement. Each response is assigned a numerical value, which Teamgage uses to calculate an overall score out of 100.
This is what a Scale question looks like to someone completing the survey:
Once responses have been received, the results are displayed like this:
How is the Score Calculated?
Each response is assigned a numerical value, the score is then calculated by multiplying each response value by the number of people who selected it. Using the example above:
(0 × 0) + (1 × 1) + (2 × 7) + (3 × 24) + (4 × 6) = 111
The maximum possible score is: 38 responses × 4 = 152
The final Teamgage score is then calculated as: (111 ÷ 152) × 100 = 73
This approach ensures the overall score reflects the distribution of all responses, rather than simply showing the most common answer.
What is a Likert Question
A Likert question allows respondents to indicate how strongly they agree or disagree with a statement. Each response is assigned a numerical value, which Teamgage uses to calculate an overall score out of 100.
A Likert question can also contain multiple statements (sometimes called sub-questions) that all use the same response scale. Teamgage calculates a score for each statement and then averages those scores to produce the Overall Question Score.
This is what a Likert question looks like to someone completing the survey:
Once responses have been received, the results are displayed like this:
How is the Score Calculated?
Each response is assigned a numerical value, with Strongly Disagree = 0 through to Strongly Agree = 4. The score for each statement is calculated by multiplying each response value by the number of people who selected it.
Using the first statement in the example above: (0 × 1) + (1 × 1) + (2 × 2) + (3 × 1) + (4 × 3) = 20
The maximum possible score is: 8 responses × 4 = 32
The final Teamgage score for this statement is then calculated as: (20 ÷ 32) × 100 = 63
This same calculation is automatically performed for each statement in the Likert question. The Overall Question Score is then calculated by averaging the score of each statement.
Using the example above:
Statement | Score |
Are you satisfied with your job role? | 63 |
Are you satisfied with your manager? | 56 |
| Are you satisfied with the tools provided to you? | 66 |
Are you satisfied with your development and learning opportunities? | 56 |
Overall Question Score: (63 + 56 + 66 + 56) ÷ 4 = 60
How is the Overall Survey Score Calculated?
The Overall Survey Score is calculated by averaging the score of every scorable question in the survey.
Each question is first scored individually based on the responses received (see Scale Questions and Likert Questions for more information). Teamgage then averages those question scores to produce the Overall Survey Score.
The Overall Survey Score is NOT the average of the section scores.
Why Doesn't It Match the Average of the Section Scores?
Survey sections can contain different numbers of questions. For example, one section may contain 3 questions, while another contains 9 questions.
If Teamgage simply averaged the section scores, every section would contribute equally regardless of how many questions it contains. This would give smaller sections the same influence as much larger ones.
Instead, Teamgage averages the scores of every individual scorable question, ensuring each question contributes equally to the Overall Survey Score.
Example:
In the example survey above:
Section | Questions | Score |
Satisfaction | 5 | 72 |
Alignment | 6 | 74 |
Enablers | 6 | 65 |
Team Environment | 9 | 68 |
Manager | 5 | 73 |
Organisation | 3 | 75 |
Although the average of the section scores is: (72 + 74 + 65 + 68 + 73 + 75) ÷ 6 = 71
…the Overall Survey Score is 70, because Teamgage averages the scores from all 34 individual scorable questions, not the six section scores.
This provides a more accurate representation of the survey by ensuring every question contributes equally to the final result.