General interviewing results

Results are divided into four sections:

1. The number of respondents who answered the question.
2. A bar chart showing selection percentages. Each percentage represents the share of respondents who selected that item. Since only one item can be selected, percentages add up to 100%. For example: “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. Summary statistics:
   • Min: the minimum response value chosen.
   • Max: the maximum response value chosen.
   • Mean: the average of values chosen.
   • Responses: the total number of respondents who answered the question.

Results are divided into three sections:

1. The number of respondents who answered the question, defined as those who selected at least one option.
2. A bar chart showing selection percentages. Each percentage represents the share of respondents who selected that item. Since respondents can select multiple items, each item can independently reach 100% and the combined total will typically exceed 100%. For example: “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.
4. Responses: the total number of respondents who answered the question.

Using a single-select grid as an example, where respondents rate three music genres on a scale of 1 to 5, the heat map has four components:

1. Total responses: the number of respondents who answered the question. For multi-select grids, this includes respondents who selected at least one option in any row.
2. Column labels: the labels for each scale point.
3. Rows and cells: each row corresponds to a response option and is made up of cells representing scale points. Each cell shows a percentage and count — for example: "20% of respondents who answered this question, or 2 people, rated Alternative as a 1."
4. Count: the total number of respondents who answered each row. If the question is required, this count is the same for every row.

Below the heat map, a detailed report is shown for each row, presented similarly to a multiple choice question. The layout differs slightly between single-select and multi-select grids. See the multiple choice section above for more on how results are displayed.

AI analysis generates insights based on all responses to an open-end question. Click Run AI analysis on any open-end result to get started. This feature is available on paid plans.

Note: AI may make mistakes. Verify all outputs for accuracy.

Once complete, the results panel displays:

1. AI summarization: A paragraph summarizing key themes and patterns across all responses.
2. AI sentiment: A bar chart breaking responses into four categories: positive, neutral, negative, and undetermined. Each shows a percentage and count. A mean sentiment score and total response count appear below the chart.
3. AI categorization: A table grouping responses into thematic categories. Each row includes the category name, count, a brief description, and representative response excerpts.

As new responses come in, 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.