At e-satisfaction dashboard, you can check your data reporting and create new charts, on the Questionnaire Charts section:
Looking in the above screenshot, you can see already a set of charts in your Questionnaire.
If you are looking at a Template Questionnaire, you should see a set of template charts that have been prepared for you in advance. The predefined charts can vary from Questionnaire to Questionnaire and depend on the type of questionnaire, or the stage where they appear based on the business type.
Charts allow you to visualize questionnaire data in different formats, depending on your analysis needs.
There are 8 different chart types to choose:
Lines
Displays data as a series of points connected by straight lines. This chart type is commonly used to visualize trends over time.
Area
Similar to a line chart, but with the area below the line filled with color. When multiple series are displayed, they can be stacked to show their contribution to the total.
Columns
Displays data as vertical bars. The height of each bar represents its value. The vertical axis shows values, while the horizontal axis represents categories.
Bars
A horizontal version of the column chart. The axes are swapped, and values are represented by the length of horizontal bars.
Pie
Displays data as slices of a circle, where each slice represents a proportion of the total.
Donut
A variation of the pie chart with a hollow center.
Bubbles
Displays data across multiple dimensions. The horizontal and vertical axes represent two variables, while the size of each bubble represents a third variable. A fourth variable can be represented by color.
Number
Displays a single numeric value without any graphical representation.
To select the most suitable chart type for the data visualization, you should think about:
how many metrics you want to add in a single chart
how many data points will you display for each variable and
if you will display the values over a period of time or among items and groups
Each chart has a name and a size. Size comes in 3 sizes, based on the width they cover in the page:
Small (25%)
Medium (50%)
Large (100%)
The metric is the main entity of a chart. It can be represented as a single line/bar/column or multiple, based on its configuration.
Set a title for your metric to be able to recognize it from other metrics, if there are multiple.
Metric scope is the data context from which it will calculate the result. Possible values are the following:
Application scope
Displays data only from the current questionnaire you are viewing.
In other words, the chart includes responses exclusively from this specific questionnaire within the current application.
Organization scope
Displays aggregated data from questionnaires across all applications the user can access, as long as they are based on the same template. This enables comparison and consolidation of results across different applications within the organization.
Market scope
Displays data from other organizations within the same market/industry, again based on the same template questionnaire.
This enables benchmarking against external organizations operating in the same industry.
⚠️ Note: Organization and Market scopes are available only when the questionnaire is connected to a template, since this is what enables data alignment and comparison across applications and organizations.
Metrics define how the data from responses is calculated and presented in the chart.
The available metrics are the following:
Average
Calculates the average (mean) value of all responses.
Count
Calculates the total number of responses.
Values
Returns all distinct response values.
Percentage Over All
Calculates the percentage of responses that match specific values out of the total number of responses.
Example: Selecting values 9 and 10 will calculate the percentage of responses equal to 9 or 10 out of all responses.
NPS
Calculates the Net Promoter Score (NPS) for the selected question using the following formula:
NPS = Promoters − Detractors
Promoters: Percentage of responses with values 9–10
Detractors: Percentage of responses with values 0–6
Over is the second dimension in all metrics. You can choose one of the following:
Time
Displays how the selected metric evolves over time.
The system automatically determines the appropriate time interval (e.g. day, week, month) based on the selected date range.
Values
Breaks down the results by each distinct response value.
Used with the Count metric to show how many times each value was selected for a given question.
Metadata
Breaks down the selected metric based on metadata attributes (e.g. gender, location, department).
Example: Average score of Question 1 by Gender.
Group by is the third dimension of the chart, which will help create groups of results for each metric using different colors or shapes.
You can select only Metadata for Group By.
NOTE: This option is only available in Application Scope.
Metric filters are used to filter the metric data using question values or metadata. Filters are preferred so that you don't have to take all the data into a chart but filter out the ones that you do not need.