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Key visualization options to surface top / bottom results
  • Impact Prediction Chart
    • Use an Impact Prediction Chart to identify strengths and action fields. This chart analyses which items are strengths and which require action and is recommended for quickly spotting top and bottom results.
  • Heatmap
    • Use heatmaps as an alternative way to highlight high- and low-scoring items across many questions.
    • Heatmaps can show multiple attributes side‑by‑side, so you can compare segments or filters in a single heatmap view (when sufficient data exist).
    • Heatmaps always display individual questions; it is not possible to show only aggregated dimensions without the underlying questions.
Layout and dashboard composition recommendations
  • Place multiple charts side-by-side
    • Instead of trying to combine many dimensions into a single chart, place several charts (each showing one dimension or comparison) next to each other on the dashboard to keep the view clear and comparable.
    • Multiple dimensions can be presented across separate charts in the same dashboard to create an at-a-glance comparison for leaders.
  • Comparison selection
    • When using comparisons or restricted views, choose the appropriate comparison group (for example: own department / area) in addition to the viewer’s scope so comparative insights are meaningful.
Chart behavior and data display details
  • Percentages vs absolute counts
    • Some multi-question bar chart types display absolute counts for each answer option rather than percentages. If you need percentage-based summary values, use Score charts (percentage views are available in Score charts).
  • “Internal Benchmark”
    • The internal benchmark represents the overall company results (the aggregate result for the organization).
Filters, anonymity and “Others”
  • “Others” label in filters
    • The system may present attribute categories as “Others” when there are too few responses for a given attribute. This behavior is tied to anonymity thresholds (a small response count causes the system to group or hide categories to protect anonymity).
Permissions and dashboard access
  • Role restrictions
    • Users assigned the role of survey participant (“Respondee”) cannot access the system dashboard. Assign a role with dashboard access for any person who must view or be assigned to dashboards.
  • Assigning dashboards to people
    • When assigning dashboards or permissions, ensure the target user has an appropriate role (Manager, Analyst or Report Viewer) and that you select the comparison scope (e.g., department) as “Permission Group Value” if required by your reporting structure.
Im Summary - practical steps to set up a quick top/bottom overview
  1. Add an Impact Prediction Chart to the dashboard to surface strengths and action fields automatically.
  2. Add a heatmap view to highlight patterns across all questions; configure it to show the attributes or segments you want to compare side-by-side.
  3. Place complementary Score charts (for percentages) and bar charts (for counts) next to each other so leaders can see both relative and absolute perspectives.
  4. Arrange charts side-by-side by dimension or priority so the dashboard instantly shows top and bottom results without overwhelming viewers.
  5. Verify filters and attributes have sufficient response counts to avoid “Others” grouping; if categories appear as “Others”, check response volumes and adjust segmentation as needed.
  6. Confirm dashboard viewers have an appropriate access role (not “respondee”) and that the comparison group (e.g., department) is selected when required.
Troubleshooting tips
  • If a category appears as “Others” in filters: check whether response counts for that attribute meet the anonymity threshold; low counts will cause automatic grouping.
  • If you can’t display multiple attributes in a heatmap: confirm there are sufficient responses and that filters/options are available; low data volume can “others” rendering.
  • If a user cannot be found when assigning dashboard access: verify the user’s role (“Respondees” cannot access dashboards) and ensure they have a role that includes dashboard permissions.
  • If you need percentages but a chart shows absolute counts: switch to or add Score charts to display percentage-based results.
Conclusion: For surveys with many questions, combine an Impact-Prediction Chart (Wirkungsprognose) and Heatmaps, and compose multiple dimension charts side-by-side to give leaders a fast, actionable overview of top and bottom results. Pay attention to chart types (percent vs absolute), anonymity-driven “Others” grouping in filters, and user roles required for dashboard access to ensure the dashboard delivers clear, usable insights.