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Visualise the data by choosing the graph that best represents it. Make it interactive by allowing you to filter the results by different respondent segments (tags).
Line chart (Line)
Use this graph to show data changes and trends over time. It’s perfect for tracking how employee satisfaction, opinion or other indicators have changed over the years, quarters or months, and for predicting future performance.
Vertical Bar Chart (Vertical Bar Chart)
Horizontal Bar Chart (Horizontal Bar Chart)
Used when we have longer answer choices or many answer choices. Instead of “squashing” the text under the columns, the titles are nicely arranged on the left-hand side of the horizontal bar chart.
Scale visualisation (Gauge / Scale chart)
It is best used when you want to show not only the average, but also the context – where the average “stands” on a scale from lowest to highest. For example, the average satisfaction score = 7.4 out of 10, and the scale clearly shows that this is on the positive side.
Pie chart (Pie)
Use this chart to show how the individual parts make up the whole (100%). It is ideal for illustrating the percentage distribution of responses per question. It works best with a small number of categories (up to 7 is recommended).
Example: you can show the proportion of respondents who chose “Yes”, “No” or “Don’t know”.
Density map (Heatmap)
Use this graph to visualise data intensity and concentration. It shows which response options are the “hottest” (most frequently selected) or how different variables correlate with each other. It is particularly suitable for analysing complex and large data matrices.
Radar chart (Radar)
Use this chart to compare several different indicators in one view. It visually shows the strengths and weaknesses of the selected criteria.
Example: in surveys, it is ideal to show averages across several categories. You can compare customer satisfaction on different aspects of the service: quality, speed, price and reliability.
Average (Avarage)
It is used to summarise the data collected on a rating scale (e.g. from 1 to 5) and to present them as a single number.
Example: an overall customer satisfaction rating of 4.2 out of 5 is calculated.
Series Layout by Column - vertical bar chart of group data
Used when you want to compare several groups of data in a single chart, with each group shown in separate columns side by side.
Very useful when you need to show differences in the responses of several groups of respondents (e.g. men and women, different age groups, or regions). This allows a clear view of how ratings for the same category differ between groups.
Stacked Bar Chart with Normalisation (Stacked Bar Normalisation)
Best used when you want to show how different parts make up the whole, but all categories are unified to 100%. This makes it easy to compare the proportions of parts between different categories or groups.
Bar Chart with Negative Value
Used when there are both positive and negative numbers in the data and they need to be clearly shown on the graph. Negative values are often shown below zero (or on the left-hand side) and positive values above it (or on the right-hand side).
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