Available for: Admins ✅ Results viewers ✅
Closed-ended questions provide quantitative data to measure employees' opinions, perceptions and behaviors.
In practice, there are two types of scores on the platform: Net Promoter Scores (NPS) for questions on a scale of 0 to 10 and averages for the other scales (1 to 5, 0 to 7, etc.).
To help you analyze them, Supermood provides you with several tools:
the disparities (to identify the most and least satisfied populations)
✋ The participation
Before diving into the analysis of the results, take a look at the participation rate. From a 50% participation rate, we can estimate that we have a sufficiently representative trend.
🚦 The rate (is it a good or a bad score)
In Human and Social Sciences, it is difficult to determine a norm and therefore to say if a score is within the norm or not. Do you have to score 5/5 on all the questions or is 3.5/5 enough? There is no exact answer. That said, Supermood allows you to establish trends and compare scores through clear color coding.
As far as NPS scores are concerned, overall we consider a score to be :
really good if it is equal or superior to 20 ;
to monitor if it is equal or lower than -10 ;
concerning if it is equal or lower than -30.
When we focus on averages, we consider a score to be :
really good if the average is equal to or greater than 4.0 ;
to monitor if the average is equal or lower than 3.5;
concerning if the average is equal to or less than 2.5.
💡Pro-tip: To determine your priorities, consider comparing results between questions (for the whole company or for a team), and comparing results between teams (across all questions or just one question).
📊 The distribution pie chart
The distribution pie chart categorizes your respondents into four groups, be it for averages or for NPS scores.
On a scale of 1 to 5, the distribution is as follows:
Positive (4 or 5): satisfied or very satisfied participants.
Neutral (3): participants who did not want to take a position on the topic.
Negative (2): dissatisfied participants or disagreeing with the topic.
Strongly negative (1): strongly dissatisfied participants.
On a scale of 1 to 4, the distribution is as follows:
Positive (3 or 4): satisfied or very satisfied participants.
Negative (2): dissatisfied participants or disagreeing with the topic.
Strongly negative (1): strongly dissatisfied participants.
On a scale of 1 to 10, the distribution is as follows:
Positive (7 à 10) : satisfied or very satisfied participants.
Neutre (5-6) : participants who did not want to take a position on the topic.
Negative (3-4) : dissatisfied participants or disagreeing with the topic.
Strongly negative (1-2) : strongly dissatisfied participants.
On an NPS scale, from 0 to 10, the breakdown is as follows:
Ambassadors: the percentage of people who answered 9 or 10.
Passives: the percentage of people who answered 7 or 8.
Non-ambassadors: the percentage of people who answered between 3 and 6.
Detractors: the percentage of people who answered between 0 and 2.
💡Our recommendation: Satisfied and dissatisfied participants can easily influence the rest of the group. Thus, for two questions with the same score, priority should be given to the one with the highest number of negative scores.
When deciding on your next action plan, consider prioritizing topics as soon as you observe more than 30% of negatives or less than 50% of positives.
⚡️ The disparities
Disparities make it possible to quickly identify the populations that need more attention with respect to the question being asked. Supermood brings up the different dimensions of analysis (the attributes) for which significant deviations from the mean have been identified.
Select the dimension of analysis of your choice, you will then be able to distinguish up to a maximum of three most satisfied and/or least satisfied populations.
ℹ️ To compare multiple questions, you can compare all the results of the teams side by side using the heatmap.
🔎 The benchmarks
Benchmarks are available only on questions in the Supermood library, most of them using a scale from 1 to 5. For more details, please contact your account manager.
📈 The score's evolution
Score evolution allows you to measure the impact of your actions. As soon as the same question has been asked several times in your campaign, you can follow the evolution of the score or the distribution of responses.
💡Our recommendation: If a score drops or if the percentage of detractors increases, prioritize the question in your action plan.
Need a helping hand to interpret your results? Feel free to contact your Account Manager! Our team of experts will be happy to help you.