AI survey analysis
Analyze survey data and build reports by asking in plain language.
Crosstabs, charts and written answers from your own studies and trackers, weighted, significance tested and traced to the source.
What is mTab's AI survey analysis?
mTab is survey analysis and reporting software where research teams ask questions in plain language and get crosstabs, charts and written answers from their own survey data, with weighting and significance testing applied and every number traced to the study, wave and base. Answers go straight into reports, pages or slides.
Trusted by research teams at the world's leading brands
How does natural-language survey reporting work?
From a question to a report your stakeholders can trust, in five steps.
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Step 1
Ask
Type the question the way a stakeholder would: "Has consideration moved among first-time buyers this quarter, by region?"
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Step 2
Answer
Halo's analytical engine returns the crosstab, the chart and a written answer, with weighting, bases and significance testing applied.
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Step 3
Verify
Every figure cites the study, wave, base and test behind it, so a researcher can check it before it travels.
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Step 4
Report
Add the chart to a report page, slides or a canvas that refreshes with every wave of the tracker.
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Step 5
Automate
Turn a recurring readout into a Halo Flow: describe it in plain language, it runs on schedule, a person approves it.
What can you ask your survey data?
The questions research and business teams ask every week, answered from the study itself.
- "Show purchase intent by age and region, weighted, with significant differences flagged."
- "What changed in brand consideration since last wave, and in which markets?"
- "Which attributes drive satisfaction among detractors?"
- "Chart awareness for our brand and three competitors across the last four waves."
- "Summarize the open-ended comments from customers who rated us 0 to 6."
- "Build a one-page readout of this wave for the marketing team."
How is it different from asking a general AI chat assistant?
General assistants are great for a quick look at a single file. Research teams need the same answer every wave, on every market, with the method applied.
| General AI chat with an uploaded file | mTab | |
|---|---|---|
| Where the data lives | A file you upload to a chat window | Your studies and trackers in one governed platform |
| Weighting, bases, nets | Up to you to specify and check every time | Applied by the analytical engine, as defined for the study |
| Significance testing | Depends on the code it writes | On every table, with the test shown |
| Multi-wave trackers | One file at a time | Every wave and market, consistent definitions |
| Traceability | Hard to audit after the fact | Each answer cites study, wave and base |
| Access control | Whoever has the file | By study, client and team |
| Output | Text and ad hoc charts | Crosstabs, charts, report pages and slides that refresh each wave |
Can you automate survey reporting with AI?
Yes. Reports refresh when a new wave lands, and recurring work, such as wave readouts, competitive reviews and executive briefs, runs as a Halo Flow you describe in plain language. A person approves every output before it goes out.
FAQ
Questions about AI survey analysis.
Can I analyze survey data with natural language?
Yes. In mTab you ask a question about your survey data in plain language and Halo Reports returns the crosstab, chart and a written answer from its analytical engine, with weighting and significance testing applied and the study, wave and base cited.
Can I create survey reports by asking in plain language?
Yes. Answers and charts go straight into report pages, slides or canvases, and those reports refresh with each new wave of a tracker. Recurring readouts can run on a schedule as Halo Flows, with a person approving before they go out.
How is this different from uploading a CSV to a general AI chat assistant?
A chat assistant analyzes whatever file you give it and writes its own code each time. mTab answers from your governed studies, applies the study's weights, bases and nets, runs significance tests on every table and cites the source behind each figure, so results are consistent wave to wave and auditable.
Can I use mTab from the AI assistant my team already uses?
Yes. Halo MCP connects ChatGPT, Claude and other AI assistants that support the Model Context Protocol to governed Halo answers and outputs to governed Halo answers and outputs, so teams can work with research data where they already work while answers stay grounded in Halo.
Does the AI replace the researcher?
No. The AI finds, explains and drafts; Halo's analytical engine produces the numbers, and researchers review before anything reaches stakeholders. Manual query building is always available.
What kind of survey data does it work with?
Wide, complex studies and multi-market trackers, including brand trackers, customer satisfaction and NPS programs, ad hoc studies and syndicated data, alongside related customer, market and operational data connected to the Halo platform.
Is it automated survey reporting?
Yes. Reports refresh automatically when a new wave lands, and recurring work such as wave readouts, competitive reviews and executive briefs can run as governed workflows with a person approving.
See it on your own survey data.
Bring one tracker or study. We'll ask it your stakeholders' questions and build the report before we meet.