Results dashboard: Scores


This article is part of Effectory's resources on the results dashboard. For a video on how to use the dashboard, please refer to this article.

Are you using Top 2 Box? Please be informed that your scores will look different. For more information, please click here.


In the Scores tab you will find the scores of all the questions in your survey.

This article contains:

Change the order of the scores

By default, the questions are sorted by the order they appear in the survey. You can also choose to sort them by theme or by scores.



  • Most increased/most decreased scores ranks the questions based on the most increased/decreased scores compared to the previous survey (If applicable).
  • Positive/negative difference in group scores ranks the questions based on the magnitude of the positive/negative difference between your group's scores and those of the whole organization. The questions are ordered from the largest difference to the smallest difference.

Dive deeper into each score

If you hover over a question, the Insights button appears. By clicking on it, you will see how this question was answered by all respondents as well as a trend analysis of previous surveys (if applicable).

To protect the respondent’s anonymity, the distribution of answers is visible:

  • As a 5 point scale for groups larger than 50 respondents
  • As a 3 point scale for groups between 5 and 50 respondents

Under the Tips & Best Practices tab, you will find tips and best practices related to this question.



Choose a benchmark for comparison

You can choose the benchmarks or comparison groups you want to compare these scores to.
Click on Comparisons: Groups and benchmarks to see higher-level comparisons. These are:

  • The selected benchmark(s)
  • The previous survey (if applicable)
  • The parent-level group (the group one level above)
  • The whole organization

Select Group level below to see lower-level comparisons. These are the groups on the level below.
You can also see the results split per data segmentation (if applicable in the survey). For example, Gender, Age, Tenure etc.




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