1. Overview
The Wide format presents each respondent as a single row, with each survey question represented as a separate column. This format is particularly useful when you want to:
- Run statistical analysis or modeling in packages like SPSS, R, or Python.
- Use dashboards or BI tools that expect one record per respondent.
- Quickly view all answers for a respondent in one row.
2. File Structure & Layout
Each row corresponds to one respondent. Each column corresponds to one question or metadata field.
Example (first 5 columns):
| V001_respondent_id | V002_Recent_Restaurant_Visit | V003_Age | V004_Gender | V005_Ethnicity |
|---|---|---|---|---|
| ps-0097ac15-868c-6608-25fc-c0fe2cd884a8 | Yes | 35 | Female | White |
| ps-012a5d8b-9dc4-2132-782d-73742be4088f | Yes | 21 | Female | White |
| ps-022b6b43-6304-2dc5-0830-10d98bd7dee3 | Yes | 18 | Male | White |
3. Key Columns
- V001_respondent_id - Unique identifier for each respondent.
- Question columns (V###_...) - Each prefixed with a variable code (V###) followed by a short label. For example:
V002_Recent_Restaurant_Visit V003_AgeV004_Gender
The last three columns are always:
- Weight column (e.g., V171_weight) - The respondent's statistical weight.
- Timing columns (e.g., V172_start_time, V173_end_time) - Timestamps recording when the respondent started and completed the survey.
4. Data Representation
Single-choice questions
Stored as one column per question with the selected answer recorded.
Multi-choice questions
Each option is represented as a separate column. Values indicate whether the option was selected, and may also include rank order (e.g., -1 = not selected, 1 = selected first, 2 = selected second, etc.).
Numeric questions
Stored directly as numeric values (e.g., annual income).
Open-end questions
Stored as free-text responses in their own columns.
⚠️ Note: Recoded variables and coded open ends are not included in the Wide format. They are only available in the Long format.
Uncoded exports
The Wide format is also available as an uncoded export. Where a standard export returns a question's recoded category, the uncoded export returns the underlying response value as it was captured. This is useful when you want to inspect or re-derive the original answers rather than work from the recoding applied for reporting. Select the uncoded option in the download dialog; the file structure is otherwise identical.
Respondents included
Wide raw exports include non-complete respondents as well as completes, so partial interviews appear in the file. Filter on respondent status where your analysis should be restricted to completes.
5. Missing & Special Values
- -1 often denotes an option that was not selected in multi-choice or rank questions.
- Empty cells may indicate a skipped or non-applicable question.
- "Prefer not to say" appears as a standard response category.
6. Weighting
- Apply the weight column when analyzing results to ensure the dataset reflects the target population.
7. Best Practices
- Use variable codes (V###) for merging with codebooks or comparing across formats.
- Treat
-1values consistently as non-selections in analysis. - For ranked multi-choice questions, filter out
-1and use positive values to analyze the order of selections. - When comparing across formats, match on
reporting_id(long format) toV###codes (wide format). - Look to the Long format for recoded values and coded open ends, since these are not included in the Wide format.
8. Stacked Exports
The Wide format supports stacked exports, where the data is organized by the tags assigned to each question in the survey editor. In a stacked export, each respondent row is repeated for every tag group, and only the columns belonging to that tag are included alongside the respondent identifier and metadata columns (weight, timing).
This is useful when your survey covers multiple topics or when you want to analyze tagged sections independently. For example, if your survey tags questions as "Demographics," "Brand Awareness," and "Purchase Intent," the stacked export will produce a row for each respondent under each of those tag groups, with only the relevant question columns present in each row.
To generate a stacked export, select the Stacked option in the download dialog. The resulting file will contain a Tag column indicating which tag group each row belongs to.
9. Row Limits
Excel files have a maximum number of rows, and a very large survey — particularly a stacked export, where each respondent is repeated per tag group — can exceed it. If an export would produce more rows than Excel supports, the download fails with a clear error explaining the limit rather than producing a truncated or corrupt file. If you hit this, export in CSV or SPSS format instead, or reduce the scope of the export.
10. When to Use Wide Format
- For statistical modeling and regressions.
- When using survey data in BI dashboards or visualization tools.
- When analysts want one record per respondent with all answers side by side.
- When using the stacked option, for analyzing tagged question groups independently or feeding structured sections into BI tools.

