Question Coding

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What question coding does

Question coding brings together question summaries, structured answers, and AI-coded facets. Use it to review a study systematically and compare participant groups. A direct-count chart records selected answers or source data. An AI-classified chart interprets open responses. Check the source indicator before treating a category as something a participant explicitly selected.

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Open the analysis

Open Question coding in the study navigation. Use the overview to move between interview-wide facets, questions, screeners, and participant-data sections available in your study. The analysis base includes completed interviews and excludes hidden, deleted, and test interviews. Question-specific results also depend on which participants reached the question. Routing and missing responses can make bases differ between questions.

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Review sample context

Start with the available screener, panel, uploaded-data, and quota facets. These show the information actually collected; a panel is not guaranteed to supply every demographic field. Read a chart’s base and missing-data information. Participant-level facets count distinct participants, while other facets can count interviews. This distinction matters for diary studies with several entries per participant. See Facet counts and missing data.

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Read summaries and charts

Review the available summary for each question, then inspect its charts. A question can be covered by interview-wide facets rather than having its own separate charts. Select a chart value to inspect the corresponding detail or evidence. Open the facet name for its detail page. Quote and media evidence depend on the facet’s source; demographic or uploaded values do not necessarily have a transcript quote.

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Compare segments

Apply facet filters to define a participant group. Charts update for the selected conditions. Saving a filter set also requests summaries for that segment; text generation may finish after the charts update. Keep the filter definition with any exported conclusion. Favoriting a facet is a shortcut to that facet, not a saved snapshot of every filter or display choice. Recheck the active filters when opening a favorite. For repeated comparisons, use a facet’s crosstab view to compare it with another facet.

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Curate and export

Favorite useful charts, or use the chart menu to duplicate or hide them. Show hidden facets restores hidden facets to view. Hiding declutters the page; deletion removes the facet. Use available CSV or PNG exports and check that the displayed base and filters match what you intend to share. See Reports for presenting a narrative with supporting evidence.

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Create or correct a facet

Choose Create facet under the relevant question or in the interview-transcript section when an important dimension is missing. Specify what to code and whether the source should be that question or the whole conversation. Use Managing a facet for editing definitions, values, and re-analysis. Changing a name or coding instruction does not, by itself, establish that existing interviews have been recoded. Run re-analysis when needed and review its results.

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Interpretation and troubleshooting

If a chart is empty, check the active filters, question exposure, available source data, and extraction status. A missing value is not automatically a negative answer or zero. AI-coded categories and generated summaries can be wrong. Review source responses, check counterexamples, and correct ambiguous coding definitions. Multiple-value categories can overlap, so their percentages need not add up to 100%.