Dashboard Builder: Datasets Explained

Once the widgets and charts are in place, you have to connect them to relevant datasets. In this article, you will learn what datasets are available in the Dashboard Builder.

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These are the Available datasets in your Dashboard Builder:

• Responses
• Intro fields
• Question answers
• Formula results
• Outcomes

• Dashboard datasets: The datasets that your dashboard currently uses.
• Available datasets: The datasets that are available for you to use in your dashboard.

1. Responses

When you click on the Responses dataset, You will see the following data options:

Data	Explanation	Common use in dashboards
custom_score	The total custom score calculated from this response based on the custom scoring set up in the questionnaire. Help guide article: Custom score	On a table to show each response with their corresponding custom score On a bar chart to show "average" custom score from different groups of responses, such as locations, or teams. On a line chart to show the score progression overtime
duration	The time it takes for the respondent to complete the questionnaire.	On a gauge chart as a general indicator of average time needed to complete the questionnaire. On a bart chart to see average time spent for each group of respondents to complete the questionnaire.
language	The language for this questionnaire
latitude	The coordinates of location. This needs to be turned on in your questionnaire.	On the map charts to show visually where the responses come from.
longitude
respondent_email	The email of the respondents in the "My contacts" settings.	Personal IDs are a way to group your respondents into companies or teams. You can use these Personal IDs as filters in your dashboard to quickly filter out respondents that belong to a certain group Check our help guide article about how to set up these contacts.  Creating your contact list
respondent_external_id	The Personal ID of the respondents in the "Contacts" page.
respondent_first_name	The first name of the respondents in the "Contacts" page.
respondent_last_name	The last name of the respondents in the "Contacts" page.
respondent_unique_id	The Unique Identifier of the respondents in the "Contacts" page. The Unique Identifier consists of 9 characters and is generated automatically when you create a new contact.
score	The score from the questionnaire when the questions are defined as "quiz questions". Help guide article: Quiz Scoring
server_date_completed	The dates/time when the responses are completed by the respondents.	Use in a line chart of number with evolution widget to show the number of responses completed over time.
server_date_created	The dates/time when the responses are started by the respondents.
session_id	The id that is automatically generated and saved for each response.	These data are typically used by the Pointerpro platform to internally identify responses. It is less common for you, as our user, to use these data points.
session_unique identifier	The unique identifier that is automatically generated and saved for each session.
survey_id	The id that is automatically generated and saved for each questionnaire.
survey_url	The url that respondents use to access this questionnaire.	Since this dashboard is linked to a certain questionnaire, it's most likely not necessary to use this data in the dashboard.

2.  Intro fields

When you click on the Intro Fields dataset, You will see the following data options:

Data	Explanation	Common use in dashboards
answer	The answers to the intro fields provided by the respondent.
custom_field_id	This id is a generated by the Pointerpro platform and is used in the backend for the system.	These data are typically used by the Pointerpro platform to internally identify responses. It is less common for you, as our user, to use these data points.
answered	It indicates whether the user has answered to this field. It returns "yes" or "no".	Used in a pie chart, or donut chart to showcase how many respondents, or the percentage of respondents answering to a certain field.
custom_field_label	The labels you set up for these intro fields, such as "your name", "email", or "select your team", etc.	Used in a dropdown filter for the dashboard viewer to filter responses that answer to a certain field on the intro screen.
custom_field_order	The order you set up for the fields on the intro screen. These are numerical values.	Used in a dropdown filter for the dashboard viewer to filter responses that answer to a certain field on the intro screen.
custom_field_type	The field type you select for the fields on the intro screen, such as "text", "dropdown", or "email" etc.
session_id	The id that is automatically generated and saved for each response.	These data are typically used by the Pointerpro platform to internally identify responses. It is less common for you, as our user, to use these data points.
survey_id	The id that is automatically generated and saved for each questionnaire.

Here's an example of the fields on the intro screen.

Check out our article for more information on the intro fields setup: Intro Fields

3.  Question answers

When you click on the Question Answer dataset, You will see the following data options. Bear in mind that If you use the these data in a chart widget, all the relevant data across all the questions in your questionnaire will display in the chart. You have to add a filter on the chart widget itself to filter the data for specific question you want to display in the chart widget.

Data	Explanation	Common use
answer	The answers to the questions provided by the respondent.	(multiple choice) Used in a bar chart to showcase the number of times each answer is selected by the respondents. (multiple choice) Used in a pie chart, or donut chart to showcase the % of times an answer option is selected by the respondents. (multiple choice) Used in a radar chart/spider chart to get an overview of which answers have higher or lower number of responses. (open field) Used in a a table to display respondents' answers.
answered	It indicates whether the user has answered to this field. It returns "yes" or "no".	Used in a pie chart, or donut chart to showcase how many respondents, or the percentage of respondents answering to a certain field. Used in a bar chart with all the questions to indicate how many times a question is answered.
question_id	The id that is automatically generated and saved for each question.	These data are typically used by the Pointerpro platform to internally identify questions in the backend. It is less common for you, as our user, to use these data points.
question_order	The order you set up for questions in your questionnaire. These are numerical values.	Used in the chart widget filter to display the response data of the question that has the corresponding question order. For example, you have a bar chart and you apply the filter in this chart to show response data of the question with a question order of 3.
question_tag	The custom tag you create for your question. In your questionnaire, select a question, you can toggle on the option to give this question a "question tag". This is an open field that you can set up manually for each of your questions.	Used in the chart widget filter to display the response data of the question(s) that have the corresponding question tag.
question_type	The question type you set up for your questions in the questionnaire.	Used as filter to show responses to questions of a certain question type.
question_unique_identifier	The unique identifier that is automatically generated and saved for each question.	These data are typically used by the Pointerpro platform to internally identify questions in the backend. It is less common for you, as our user, to use these data points.
sub_question_id	The id that is automatically generated and saved for each question.
sub_question_label	Sub questions are the questions or fields that you set up in a "form" question. In a form you might ask people for their name and email etc. This data shows the labels of these fields.
session_id	The id that is automatically generated and saved for each response.	These data are typically used by the Pointerpro platform to internally identify responses and questionnaires in the backend. It is less common for you, as our user, to use these data points.
survey_id	The id that is automatically generated and saved for each questionnaire.
sub_question_order	Sub questions are the questions or fields that you set up in a "form" question.	This is usually used as a filter on a chart widget when you want to display a certain "sub question (a field within a form question type).

4.  Formula results

When you click on the Formula Results dataset, You will see the following data options:

Data	Explanation	Common use
formula	Displays the expressions you have set up for your formulas in this questionnaire. For example: (*|q1_custom_score|*+ *|q2_custom_score|*+*|q3_custom_score|*)/3
formula_id	The id that is automatically generated and saved for each formula.	These data are typically used by the Pointerpro platform to internally identify formulas in the backend. It is less common for you, as our user, to use these data points.
formula_unique_identifier	The unique identifier that is automatically generated and saved for each formula.
formula_order	The order you set up for formulas in your questionnaire. These are numerical values.	Used as a filter in a chart widget to show only the results of a specific formula
result	Displays the formula results based on the actual responses to your questionnaire.	Used in a bar chart or line chart to show the formula results of all the responses over the time Used in bar chart with formula results in different intervals. For example, 10 responses have a formula result (a score) between 10-20.
session_id	The id that is automatically generated and saved for each response.	These data are typically used by the Pointerpro platform to internally identify responses and questionnaires in the backend. It is less common for you, as our user, to use these data points.
survey_id	The id that is automatically generated and saved for each questionnaire.

5.  Outcomes

When you click on the Outcomes dataset, You will see the following data options:

Data	Explanation	Common use
active	Shows whether the outcomes you have set up in the questionnaire are active or not.
outcome_order	The order you set up for outcomes in your questionnaire. These are numerical values.	Used as a filter in a chart widget to show only responses that have a specific outcome
outcome_id	The id that is automatically generated and saved for each outcome.	These data are typically used by the Pointerpro platform to internally identify responses and questionnaires in the backend. It is less common for you, as our user, to use these data points.
session_id	The id that is automatically generated and saved for each response.
survey_id	The id that is automatically generated and saved for each survey.
title	Display the title you create for the outcomes.	Used in a dropdown filter for the whole dashboard to filter responses that have a specific outcome

What's next?

• Create your first dashboard with Dashboard Builder
• Getting started with the basic widgets on your dashboard: Widget items: general.
• Check out these widgets to turn your dashboard data into meaningful insights:
  • Widget items: bar and column charts
  • Widget items: gauges
  • Widget items: pie & donut

Don't want to build it yourself? Contact our professional services team