Only you have access to your individual profile and can see your answers. The person administering the survey (team leader, facilitator, HR manager, etc.) has only access to an anonymised group profile.
The team profile is a summary of the responses of everyone on the team. It shows how the team scores in different areas such as communication, structure and innovation.
Factors are different areas that the TeamReflect tool measures to provide insight into how the team works. A factor consists of a set of individual questions that together provide an overall assessment of a given area. Each factor represents a specific aspect of teamwork, such as communication, structure or innovation.
A norm shows what is typical or expected based on a benchmark. In TeamReflect, the norm is the average of 125 teams.
The norm is 50 and shown as a dashed vertical line. If a factor such as ‘Composition’ has a score of 73, it means that 73% of the teams in the norm base score lower, and 27% higher.
In tables below details, the ‘Norm’ column shows the average per question for the norm group, while the column next to it is not a norm, but the average for your particular team.
Exceptions
The additional factors ‘Diversity and inclusion climate’ and ‘Psychological safety’ have not yet been normalised and both slides and figures therefore show a normal average of the answers instead.
For the normalised scores (sliders):
- 70-100 - high
- 30-70 - medium
- 0-30 - low
What is high and low in the table under ‘Details’? This can vary between different teams, but generally an average below 3 will be characterised as low and above 4 as high. Compare the results with norms - different factors have different norm averages.
No, low scores do not necessarily mean that something is ‘bad’. Rather, it may indicate that there is room for improvement, but it's important to see the scores in light of the team's goals. If a low score doesn't affect the team’s key objectives or processes, it doesn’t have to be given much concern.
High scores show that the team is doing well in a given area, but also they don't mean that there isn’t room for development.
It is important to always to assess the scores in the context of team’s actual needs and goals.
Standard deviation is a measure of how much the numbers in a group spread out from the average. If all the numbers in a group are fairly similar, the standard deviation will be low. If the numbers are very different from each other, the standard deviation will be high. It helps us understand how ‘spread out’ or ‘varied’ the data is. For example: If we measure the height of a group of people and everyone is about the same height, the standard deviation is small. But if some are very tall and others very short, the standard deviation will be larger.
The standard deviation for single questions in the TeamReflect tables can be interpreted as follows:
- Low: (<1): most answers are close to the mean and vary little. For example, a standard deviation of 0.5 means that most answers are within 0.5 points of the mean.
- Moderate: (1-1.5): there is some variation in the responses, e.g. if the mean is 3.5 and the standard deviation is 1, most responses will be between 2 and 4, but there may also be some deviations outside this interval.
- High standard deviation: (>1.5): This indicates a high degree of variation and the responses are spread out over the entire scale. With a high standard deviation, such as 2, the answers may be spread across the entire scale from 1 to 5.