General interviewing results

The results for this question are divided into four areas:

1. The number of people that answered the question.
2. A bar chart reporting selection percentages. Percentages are calculated by dividing the number of times each item was chosen by the total number of respondents who answered the question. Since respondents can only select one item, the percentages add up to 100%. For example, a percentage might be interpreted as: “40% of respondents who answered this question fall into the 50-64 age group.”
3. Count – the total number of times each item was selected.
4. Aggregate functions:
   • Min – the minimum response value chosen.
   • Max – the maximum response value chosen.
   • Mean – the average of values chosen.
   • Total count – the total number of people that answered the question.

The results for this question are divided into four areas:

1. The number of respondents that answered the question (those that selected at least one option).
2. A bar chart displays selection percentages for multi-select question results. Similar to single-select questions, percentages are calculated by dividing the number of times each item was chosen by the total number of respondents who answered the question. However, since respondents can select multiple (or even all) items, each item can independently total up to 100%, while the combined total of all items will typically exceed 100%.
   
   For example, an item percentage might be interpreted as: “50% of respondents who answered this question say they use their laptop at work.”
3. Count – the total number of times each item was selected. In the example, the ten respondents who answered this question selected this response option 18 times.
4. Aggregate functions:
   • Min – the minimum response value chosen.
   • Max – the maximum response value chosen.
   • Total count – the total number of respondents that answered the question.

Let’s use a single-select grid question as an example, where respondents are asked to rate three music genres on a scale of 1 to 5.

The heat map for this question result has four components:

1. Total responses: The number of people who answered the question. For multi-select grids, this includes respondents who selected at least one option in the row.
2. Column labels: The labels for each scale point. In this example, the columns represent a scale from 1 to 5.
3. Rows and cells: Each row corresponds to a response option (e.g., music genres), and each row is made up of cells representing the scale points.
   
   Each cell displays a percentage and a count, indicating how often respondents selected that scale point for the corresponding response option. For example, the first cell in the "Alternative" row might read:
   
   20% of respondents who answered this question, or 2 people, rated the Alternative genre as a 1.
4. Count: This column shows the total number of respondents who answered each row of the grid question. If the question is required, the count will be the same for every row.

For more information on how the data is displayed, view the section on multiple choice above.

By default, open-end results include a table of the first 50 verbatim survey responses. 

To view all responses, download the survey data using the Download all the survey data link above the table of responses which takes you to the data download area.

You may optionally run Open-End AI analysis which creates AI-generated insights based on all responses to an open-end question. The analysis produces three outputs: a written summary, sentiment breakdown, and categorization of responses by theme.

To run the analysis, click the Run AI analysis button on each open-end results report. This feature is available on paid plans at no additional cost.

Once the analysis is complete, the results panel displays:

1. AI summarization: A paragraph summarizing the key themes and patterns observed across all responses.
2. AI sentiment: A bar chart breaking down responses into four sentiment categories: Positive, Neutral, Negative, and Undetermined. Each category displays the percentage of responses that fall into it and the raw count. A mean sentiment score and total response count are shown below the chart.
3. AI categorization: A table that groups responses into thematic categories. Each row in the table includes:
   1. Category: The name of the theme.
   2. Count: The number of responses assigned to that category.
   3. Description: A brief explanation of what characterizes respondents in that category.
   4. Response excerpts: Representative quotes from respondents in that category.

As new survey responses come in, you can re-run the analysis at any time by clicking Run AI analysis in the banner that appears. Each run reflects all responses collected up to that point.