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Widgets Basic Overview (EX)


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Qtip: This page describes functionality available to Engagement, Lifecycle, Ad Hoc Employee Research, Pulse, and 360 projects. For more details on each, see Types of Employee Experience Projects.

About Widgets

Widgets dynamically present data in graphs, charts, and tables. Qualtrics has many different widgets that can help you view your data by survey response, key drivers, action planning, and more.

There are many different types of widgets. To learn more about each one and where they’re available, see our Widget Types section.



Adding Widgets

  1. Open your dashboard and click the edit button.
    the edit dashboard button
  2. Select Add Widget on the bottom of the page. You can also hover over the spot within your dashboard where you want to add a widget, click Add, and select Widget. Add Widget button opening a menu of widget types
  3. Choose which widget type you’d like to use.

Qtip: You may notice a section of the add widgets menu called “Deprecated Widgets.” To learn more about what this means and alternative widgets you can use, see Deprecated Widgets. Note that there are both CX and EX Dashboards widgets on this list.

Some older dashboards may contain legacy version of widgets that are not compatible with all features (like Qualtrics Assist). When editing a legacy widget, it will have a “Source” dropdown menu for you to choose a data source. This menu is replaced with a Filter field in the newer version of the widget that allows you to filter by data source. Please see this resource for more information about legacy and updated widgets for EX dashboards.
the filter field when editing an updated widget



Editing Widgets

  1. Hover over the 3 dots in the upper-right of a widget.
    Add Widget button opening a menu of widget types
  2. You’ll see several options:
    • Edit: Add titles, descriptions, colorful styling, and more to your widget. For more on the general details you can edit in each widget, see Editing Widgets. In addition, each widget may be set up a little differently, which you’ll find described on each widget’s support page. For a full list of widgets and links to pages, see Widget Types.
    • Duplicate: Make an exact copy of a widget. You can choose to create the copy directly below the original widget, or at the bottom of the dashboard page.
    • Remove: Delete the widget permanently from the dashboard.
    • Move to page: Move the widget to another page of the dashboard.

In addition to these options, there are other ways you can customize your widgets to create great dashboards. To learn more, see the resources below:

  • Basics of Editing Widgets: Instructions on how to adjust common settings, such as title, description, styles (like container and header), labels, and colors.
  • Widget Metrics: Many dashboard widgets require you to pick a metric to set them up, such as line charts and both horizontal and vertical bar charts. Learn more about the many ways you can customize widget metrics.
  • Resizing and Positioning Widgets: If you don’t like the size or location of your widgets on a page, they can be rearranged and resized.
  • Grouping Widgets: Combine multiple widgets into a single group. This allows you to apply widget display options to all widgets in the group.
  • Widget Dividers: Divid your dashboard pages into clear sections.
  • View Widget Data: View data in a table format. Only available in certain widget types.


Adding Widget-Level Filters

You will only be able to apply widget-level filters to the word cloud, response ticker, gauge chart, number chart, simple chart, pie chart, simple table, key drivers, and heat map widgets.  Follow the below steps to add a widget-level filter:

  1. Open your dashboard and click the edit button.
    the edit dashboard button
  2. Hover over the 3 dots in the upper-right of the widget.
    clicking the 3 dots in the corner of a widget opens a menu with a few options, including edit
  3. Select Edit.
  4. Under the Filters header, click Add.
    in the left editing pane of a widget, adding a filter

    Qtip: Filters set on individual widgets will not apply to anything else on the page.
  5. Select the field that you want users to be able to filter by.
  6. Click your newly made filter.
    new filter clicked in left editing pane, opens a menu where you set up the filter
  7. You can change the name of the filter, the available filter fields, and whether or not the filter is locked (meaning it will be a fixed filter for dashboard users).
    Qtip: Different data types will result in different kinds of filter options. For example, Text Sets will give you a dropdown list of options, while Numbers will give you a slider scale from which to select a number range (the number range corresponds to the answer choices’ recode values). You can change the data types of your questions and metadata inside the Dashboard Data.
  8. Delete your filter from the widget by selecting Remove Filter.
Qtip: Adding widget-level filters this way only makes the filter available for dashboard users to use; it does not change what data is displayed on the widget. After you have added the filter, dashboard users will be able to select and adjust this filter, at which point the data displayed on the widget will change.

Filter Interactions

Generally speaking, page filters will apply to widgets that also have a widget-level filter applied. However, in circumstances where the widget-level filter and page filter conflict, the widget-level filter will override the page filter.

Example: If a page filter is set to show only responses from male respondents and a specific widget has a filter to show only responses from female respondents, the page filter will be ignored and the widget will only show female responses.

However, in a situation where a page filter doesn’t completely contradict a widget-level filter, both filters will be applied.

Example: If a page filter is set to only show responses from male respondents and the widget level filter is set to show only responses from participants ages 18-24, then the widget will show responses for males who are 18-24 years of age.


Export Widget

Qtip: Allow Widget Export must be enabled for these export options to appear.

You and your users can export a widget’s data. The data is available in CSV, TSV, PDF, JPG or XLSX . For CSV, TSV, and XLSX exports, the widget’s data is organized in a table, instead of the exact widget being exported.

  1. Make sure you’re not in editing mode. That means you see the pencil icon, not the Done editing button.
    dashboard isn't in editing mode, and 3 dots menu shows an export option
  2. Hover over the 3 dots in the top-right of a widget.
  3. Select Export.
  4. Choose a file type.
    new window where you choose export settings
  5. If you have a widget-level filter applied, and try to export the widget as a CSV, TSV, or XLSX, you can decide whether to apply this filter to the exported data.
  6. Click Export.
Qtip: Only Bubble Charts, Participation widgets, Gauge Charts, and Engagement Summaries cannot be exported to a CSV or TSV. Gauge Charts also cannot be exported as a PNG or JPG.


Widget Types and Project Compatibility

There are many different types of widget, all with their unique strengths and uses. To learn about about a specific widget, visit its support page, linked in the table below.

In addition to many widgets, there are many project types to consider. This table can also help you find out which widgets are available in which project types.

Engagement Lifecycle Ad Hoc Employee Research 360 Employee Journey Analytics Pulse
Heat Map Widget Yes Yes Yes No Yes Yes
Question List Widget Yes Yes Yes No Yes Yes
Demographic Breakout Widget Yes Yes Yes No No Yes
Gauge Chart Widget Yes Yes Yes Yes Yes Yes
Donut / Pie Chart Widget Yes Yes Yes Yes Yes Yes
Number Chart Widget Yes Yes Yes No Yes Yes
Line, Horizontal Bar, & Vertical Bar Yes Yes Yes Yes Yes Yes
Table Yes Yes Yes Yes Yes Yes
Key Drivers Widget Yes Yes Yes No Yes Yes
Scorecard Widget Yes Yes Yes No Yes Yes
Engagement Headlines Widget Yes No Yes
No Yes Yes
Engagement Summary Widget Yes Yes Yes
No Yes Yes
Bubble Chart Widget Yes Yes Yes No Yes Yes
Focus Areas Widget Yes Yes Yes No Yes Yes
Comparison Widget Yes Yes Yes No No Yes
Rich Text Editor Widget Yes Yes Yes Yes Yes Yes
Image Widget Yes Yes Yes Yes Yes Yes
Word Cloud Widget Yes Yes Yes Yes Yes Yes
Participation Summary Widget Yes Yes Yes No Yes No
Text iQ Bubble Chart Widget Yes Yes Yes No Yes Yes
Text iQ Table Widget Yes Yes Yes No Yes Yes
Response Ticker Widget Yes Yes Yes Yes Yes Yes
Response Rates Widget Yes No No Yes Yes Yes
Record Table Yes Yes Yes Yes Yes No
Action Plan Item Summary Yes Yes No No No Yes
Action Plan Users Yes Yes No No No Yes
Journey Chart Yes Yes Yes No Yes Yes
Comment Summaries Yes Yes Yes No Yes Yes
Response Rate Line Chart Widget No No No No No Yes


FAQs

Any additional sources you want to add have to be included in the Dashboard Data.
Each color of a scale indicates a different level of favorability, with the color on the far left (often red) indicating unfavorability, the color in the center (often yellow) indicating neutrality, and the color on the far right (often green) indicating favorability. You set these scales for each survey question on the Scale settings.

Once you've decided which parts of each scale indicate high favorability, neutrality, and low favorability, the widget calculates the percentage of respondents who indicated each.
When you update your participants, you need to tell the dashboard that something is different. Go to the Participants Tools menu and select Update Invited Counts. Visit the linked Participants Tools support page for more details.
The Participation Summary calculates response rate based off of the hierarchy. Make sure all your participants are loaded inside the hierarchy. Keep in mind that you can specify the individuals who are and aren't respondents by selecting or deselecting the Is Respondent option in the participant information window.
The Comparison widget is unrelated to the comparisons you set up on the Settings tab. You do not need to set up anything in the Settings tab to use the Comparison widget, although you can adjust additional sources and field types in the Dashboard Data section, if desired. Make sure your favorability settings for your Scales settings make sense when they calculate the Comparison widget's Distribution column.

If you want to pull comparisons from the Settings into a widget, try out the Scorecard Widget, Question List widget, Heat Map widget, Demographic Breakout widget, Engagement Summary widget, or Bubble Chart Widget.
You can use the different quadrants of the Key Drivers widget to decide where you should focus your efforts in regards to improving your Outcome Measure. Typically, drivers found in the top left quadrant are a good place to start. These drivers have a significant effect on your Outcome Measure, but aren’t performing well among your respondents.
This is most likely because those survey questions are in the Category that is your Outcome Metrics. For example, if the Outcome Metric is your Engagement category, which is made up of four engagement questions, those four questions will not appear in the list of Eligible Drivers. It would not make sense to analyze the correlation between an engagement survey question and the Engagement category, as one is used to calculate the other.
This means that there either is no data available for that part of the widget (individuals may not have finished the survey), or it means that there is not enough data available yet per your dashboard's anonymity threshold. It could also be that the filters set on your dashboard are restricting data that would otherwise be shown.
Yes, you can add multiple open-ended text questions into a single Word Cloud widget. However, the widget will not aggregate the data across questions into one word cloud. Only one question will be visualized at a time. When you add multiple open-ended text questions into a single Word Cloud widget, a banner is added to the widget that allows you to select which question is viewed.
No, at this point in time you will only be able to select one of the default color palettes.
By default, the Response Ticker, Word Cloud, Simple Table, Pie Chart, Number Chart, Simple Chart, Gauge Chart, and Key Drivers widgets will always display data from all sources in your Dashboard Data and will ignore any dashboard filters. Instead, you will need to make sure you set up a widget-level filter on the widget itself that filters for only your single data source.
There are a few things to check in this situation. If you have multiple projects mapped into your dashboard, the Number Chart will show results for all projects combined. You will also want to check and make sure the same filters are applied to each of your widgets (this includes both dashboard-level and widget-level filters). Lastly, if you are using the Show Change Since option, make sure that the data filters on other widgets match the range specified for this option. For example, selecting 1 month ago will compare the current numerical value to the value 30 days ago. If you have a date range filter on another widget, this range may not be the same as your Number Chart.
The Scorecard widget requires categories as a data source. Therefore, you will need to ensure that you have set up at least one category in your Categories section of your dashboard Settings.
To display the percent positive or favorable on the Gauge Chart, select Top Box / Bottom Box under Source after adding a Metric. For the field, select your engagement question. Otherwise, if your survey contained a NPS question, the dashboard will pull the corresponding data for the NPS question into the widget by default.
No. As the Rich Text Editor widget does not have the ability to select Source like other areas of the platform, HTML and other coding languages cannot be inserted at this time.
You may need to Update All Responses With Current Metadata in your Participants tab, as well as Update Invited Counts in your Response Rates widget so that participation counts will match. To update your responses with the current Metadata, navigate to the Participants tab and click on the Tools menu. Use the option to Update All Responses With Current Metadata. Once that has loaded to 100%, you can try Updating the Invited Counts.