Survey Crosstab Tool

Survey crosstab tool

Analyze survey and market research response data with crosstabs, banner tables, filters, governed survey designs, top/bottom-box recodes, batch tables, and exportable report packs.

Published by crosstabs.com · Last updated ·
How results are checkedNamed statistical review pending. Selected automated reference cases are published on the validation page.

Open your data file

CSV, Excel, SPSS, Stata, SAS, R, Parquet, JSON, OpenDocument, Arrow/Feather or SQLite. Files are parsed in the browser before the workspace opens.

Supported files and requirements
  • CSV .csv .tsv .txt
  • Excel .xlsx .xlsm .xls .xlsb
  • SPSS .sav .zsav .por
  • Stata .dta
  • SAS .sas7bdat .xpt
  • R .rds .rdata .rda
  • Parquet .parquet
  • JSON .json .jsonl .ndjson
  • OpenDocument .ods .fods
  • Arrow/Feather .arrow .feather .ipc
  • SQLite .sqlite .sqlite3 .db

Optional: a matching Qualtrics .qsf file adds question wording.

Use one row per respondent's answers.

Or try a realistic sample
View examples

What you get · real output from the sample

NPS Group × SegmentColumn %
NPS Group by Segment in the synthetic brand-tracking sample: column percentages, bases and column-proportion significance letters
NPS GroupLoyal Customer(A)New Customer(B)Prospect(C)At Risk(D)
Promoter56%BCD35%D26%19%
Passive25%30%39%AD23%
Detractor19%34%A35%A58%ABC
Base n=188164140108
Column proportions, 95% uppercase / 90% lowercase, Bonferroni · synthetic sample, n = 600

What this is useful for

  • Profile survey answers by demographic or customer segments.
  • Compare satisfaction, NPS group, awareness, renewal intent, or preference variables.
  • Create top-box and bottom-box variables from rating-scale answers.
  • Run multiple row variables against one banner variable for a report pack.
  • Use demographic, region, plan, or customer segment as banner variables for a research deck or client appendix.
  • Turn significant cells into a review queue before writing the narrative.

Workflow

  1. Upload your survey data

    Open a CSV, Excel, SPSS, Stata, SAS or JSON file, or start from a sample dataset. The file is parsed in the browser.

  2. Choose variables

    Assign row and column variables, then add filters, missing-value handling, recodes, or a supported saved survey design.

  3. Export the result

    Review counts, percentages, statistics, and charts, then export the result or create an aggregate snapshot link for review and citation.

Built for survey workflows

Survey analysis often means running many similar tables, not just one statistic. Crosstabs includes batch crosstabs, local saved projects, sample datasets, filters, preserved numeric weight candidates, supported saved survey designs, and derived variables so repeated analysis is less manual.

The tool is intentionally transparent: statistics, warnings, and missing-value choices are visible in the workspace so the analyst can verify every number in the table.

Banner tables for market research reports

Market research teams rarely need just one table. They need consistent cuts across segments, regions, plans, demographics, and customer groups. Batch crosstabs run each row variable against the same banner, with the same filters, recodes, and survey design, so the tables in a report stay comparable.

The brand-tracking sample gives a realistic unweighted first run: NPS group by customer segment, renewal intent, plan differences, and a preserved weight candidate that is never applied silently. Adjusted residuals and significance flags point to the cells worth reviewing, and Cramér's V keeps the practical size of each relationship visible.

Top-box and bottom-box reporting

Many survey reports collapse rating scales into top-box or bottom-box measures. The recode panel can create derived variables from selected categories, letting you compare grouped outcomes without editing the original spreadsheet.

FAQ

Can I use this for NPS or satisfaction surveys?

Yes. The sample datasets include satisfaction, employee engagement, and brand tracking examples, and the workspace supports NPS-style grouped variables.

Does it support weighted survey data?

Supported saved Taylor or replicate-weight survey designs execute design-aware results. The quick workspace rejects an untyped numeric weight instead of silently treating it as a frequency weight.

Can I run banner tables for a client report?

Yes. Batch crosstabs run multiple row variables against a selected banner variable, and the results export as CSV, XLSX, PDF, clipboard CSV, or a batch report pack.

Can I save survey crosstab projects?

Yes. Recent projects can be saved in browser local storage without creating an account.

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