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.
A chart is a panel where you can visualize any type of information you need from your questionnaires.
There are 8 different chart types to choose:
|Lines||Displays information as a series of data points connected by a straight line.|
|Area||Is a line chart with the areas below the lines filled with colors and displays areas stacked in order to compare them.|
|Columns||Displays data as vertical bars with length according to their values. The vertical axis indicates the values and the horizontal axis indicates the categories the data represent.|
|Bars||Is a column chart reversed horizontally and swapped axons.|
|Pie||Displays data as slices of a circular statistical graphic. Each slice represents the proportion of specific data to the sum of all the data.|
|Donut||Is a pie chart with a hole in the center (like a donut).|
|Bubbles||Displays three-four dimensions of data at the same time. The two axons are the two dimensions and the size of each bubble is the third dimension. Fourth dimension can be the color of the bubble.|
|Number||Displays just the data values.|
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
Name and Size
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||Data will be presented only from your Application|
|Organization||Data will be presented from all the Applications of your current Organization|
|Market||Data will be presented from all the Applications in the Market (e-satisfaction database)|
To be able to select Organization and Market scopes, your Questionnaire should be connected to a Template so that it can connect the data.
Metric is the calculation formula for the data, based on the selected scope. The available metrics are the following:
|Average||Will calculate the average of all the responses|
|Count||Will calculate the count of all the responses.|
|Values||Will return all the distinct values of all the responses.|
|Percentage Over All||
Will calculate the percentage of a given values over all values.
Example: 9, 10 over all will calculate the number of responses with values 9 or 10 over all
Will calculate the NPS of the selected question based on the formula:
NPS = Promoters - Detractors
Promoters = PercentageOverAll (9, 10)
Detractors = PercentageOverAll (0-6)
Over is the second dimension in all metrics. You can choose one of the following:
Calculate data over time.
e-satisfaction will automatically calculate the interval based on the date range.
|Values||It is used together with "Count" metric, to count all values separately for a given question.|
Calculate the metric and divided over the selected metadata values.
Example: Average of Question 1 Over 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.