Yabble summary page
The Yabble summary page provides quick insights and an overview of the responses from your survey.

Reading summary charts
​All the question responses are summarized with relevant visual charts, graphs, and diagrams.

Within your survey project, navigate to the “Summary” tab. For easy access to statistics related to the charts, graphs, and diagrams, select “Table” on the bottom right of each question summary. Select “Copy to clipboard” to easily copy the table to Word, Excel, Apple iWork, or Google Docs.
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​NPS
Net promoter score (NPS) is an 11-point-scale market research metric on the perception of your brand and the likelihood of respondents recommending your company, product, or service to their peers. The NPS score is auto-calculated and segmented into detractors, passives, and promoters.

NPS can be used as a key measure for customer satisfaction and perception of your brand.
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It’s rated on a score of -100 to +100. The % of detractors are subtracted from the % of promoters for the overall score.
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Respondents are grouped in the following way:

- Detractors: 0-5

- Passives: 6-8

- Promoters: 9-10

Ranking
The score is a weighted calculation.

Items ranked first are given a higher value or "weight."

The score, computed for each answer option/row header, is the sum of all the weighted values.

Sentiment analysis
Sentiment analysis is applied on open-ended responses to provide sentiment scores via the number of themes and keywords that appear on the open-ended question. Sentiment is rated -100 to +100 and will also be categorized as either positive or negative. The sentiment score and sentiment score over time are shown at the top of the sentiment analysis.
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For further visualization of theming and keywords, a word cloud can be accessed at the bottom of the sentiment analysis by selecting “Show word cloud.”

​Crosstabs
A crosstab or cross-tabulation is a table showing the correlation and relationship between two or more variables. To access the crosstab with the survey data without external software, go to the “Summary” tab, navigate to “Crosstab,” and select the questions on “Select Columns” and “Select Rows” to explore their correlation and relationship.
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The crosstab output is set to show percentage on default, but it can also show counts or frequencies. To show the counts, simply unselect “Show Percentage” before you select “Add Chart.”
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​Profile
The profile tab provides a quick summary of the demographics of your survey respondents. The demographic information found in the profile summary is generally gender, ethnicity, region, household, age, etc. To access the profile summary, go to the “Summary” tab, navigate to “Profile,” and view the demographic information.

Fall-out report
A fall-out report is a summary of answer statistics to see where respondents fell out from the survey for various reasons, including disqualification, poor survey design, bad logic, or forfeiture.

The fall-out report shows the total response statistics of individual questions in the survey and indicates the likelihood of a potential underlying issue if the fall-out is significantly greater than the previous question. In many cases, high fall-out is caused by disqualification from screener or screen-out questions. If this occurs on other questions, it’s worth investigating your questionnaire and survey script to ensure your design and logic were applied correctly.

The fall-out report can be accessed on the “Summary” tab by navigating to “Fall-out report.”

Applying filters
Filters allow you to view responses from a specific group or segment of respondents. They can be accessed in the “Summary” and “Responses” tab.

To add a new filter in either tab, navigate to “Add Filter” and choose from criteria including sample type, demographics, variable, question, response date, and dynamic time frame. Once you’ve selected your criteria, select “Filter” to enable.
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If you want to apply the same filter at a later stage, you may choose to save it by selecting “Save Current,” renaming the filter, and selecting “Confirm.”

Shareable summary page
A shareable summary page enables you to share your survey summary via an external link. To create a shareable summary page in the “Summary” tab, select “Shareable summary page,” and a pop-up window/tab will open in your browser. If you’d like to share the link externally, copy the URL and attach it where applicable.

PDF summary
​To create a PDF summary in the “Summary” tab, select “Get PDF of summary,” and a link to the PDF download will be sent via email.
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​Exports: standard exports and exporting as numbers
You can export a CSV file which can be viewed in Microsoft Excel, Apple Numbers, Google Docs, and IBM SPSS. To export a CSV file, go to the “Responses” tab, navigate to “Export,” and select “Export as CSV.”

The exported CSV file can be done in two ways: a standard export or an export by numbers. You can choose which questions you want to export. If you want all questions exported, leave all boxes selected. If you want the answers exported as numbers, tick the “Answers as numbers” boxes of the relevant questions.
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Exporting as numbers is often easier if you want to use pivot tables or analysis tools such as IBM SPSS. For example: for a 5-point customer satisfaction scale where someone has given it the best score, the “Answers as words” output will appear as “Very satisfied,” where the “Answers as numbers” output will appear as 5.

Response status and statistics
​Response status shows whether a respondent has completed, partially completed, or been disqualified from a survey. It’s categorized as the following:
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​Completed: the respondent has completed the survey in full.

​Partial: the respondent has attempted to do the survey but has fallen out, closed, or walked away partway through. If there appears to be an unusually high number of partials, check the fall-out report in the “Summary” tab to review questions where respondents dropped out.

​Disqualified: the respondent has attempted to do the survey but was disqualified due to screening out, exceeding quota, or manual disqualification following data check of bad responses.
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An important response statistic to check is the average length of the survey, which can be found on the top-right of the Yabble platform on the “Summary” and “Response” tabs. The average length is calculated with the sum of all respondents’ survey length divided by the number of respondents. If the response with a completed status has an unusually short or long length compared to the average survey length, then that particular response is usually worth reviewing for the data quality.