DISPLAYR — AI FOR SURVEY DATA ANALYSIS

Delegate survey analysis to AI you can trace

Displayr turns your survey data into analysis, reports, and answers — with every number traced back to the tables, tests, weights, variables, and source so you can verify it.

Trusted by 2,900+ research teams worldwide

Fast answers are easy.Trusted answers are hard.

AI can summarize almost anything. It can also sound confident when it is wrong. That is a problem when your work needs to survive a client meeting or methodology review.
Displayr is built for answers that hold up under questioning, defensible by design, not by hope.

what displayr does

From raw survey data to strategic answers.

Clean the data, create the analysis, build the report, and let stakeholders ask questions — all in one connected AI-powered workflow.

01

Prepare the data

Clean, label, tidy, code open ends, create top boxes, and fix the hidden mess that slows research down.

02

Run the analysis

Create crosstabs, banners, driver analysis, segmentation, MaxDiff, correspondence analysis, conjoint, weighting, and more.

03

Build the report

Turn analysis into pages, charts, commentary, summaries, recommendations, and PowerPoint-ready outputs.

04

Answer questions live

Publish reports stakeholders can interrogate, with answers linked back to the evidence behind them.

New: Skills

Turn your team’s methods into repeatable AI workflows.

Every research team has a way it likes things done: the checklist, the analysis standard, the chart style, the naming rules, the brand health method. With Displayr Skills, you can turn those methods into repeatable AI workflows that run the work your way.

Why researchers trust it

AI speed.  Research standards.

Traceable by design

Follow claims back to the source table, chart, variables, weights, tests, and data.

Calculations you can trust

AI helps orchestrate the work. The math is done by established statistical algorithms.

You stay in control

Review, edit, rerun, override, and standardize the workflow before anything goes to a stakeholder.

Built for real research data

Not an AI pilot.  A professional research platform.

Displayr is designed for teams working with client, customer, and commercial data — where security, governance, and accountability matter as much as speed.

Enterprise-ready security

SOC 2, enterprise controls, and regional hosting options for teams with strict data requirements.

Controlled AI workflows

Researchers can review, edit, rerun, and approve AI-assisted work before it reaches clients or stakeholders.

Designed for governance

Keep analysis, reporting, evidence, and stakeholder access inside one connected workflow instead of scattered across files, prompts, and code.

built for modern research teams

Whether you’re a research agency or an in-house team.

Agencies

Deliver more work, faster, without handing clients a black-box AI summary you cannot defend.

Insights teams

Answer business questions faster and give stakeholders live reports they can interrogate themselves.

Automation teams

Use AI to trigger specialist analysis, automate repeat workflows, and preserve your methodology.

Life without Displayr would be like going back to the dark ages. I don’t even want to imagine it.

Michael Alborough

Founder, MAC Research

Frequently asked questions

How does Displayr automate survey data analysis and reporting?

Displayr runs your survey data through cleaning, crosstabs, statistical testing, and weighting, then builds the report for you. Work that used to take days of clicking and copying happens in minutes — so you spend your time on the thinking, not the grunt work.

Why use Displayr instead of ChatGPT or Copilot for analysis?

General AI tools are good at sounding confident, but they can’t show you where an answer came from — and they’ll happily make one up. Displayr works off your actual survey data, runs the proper statistical tests, and traces every number back to the source. You get AI speed with answers you can defend to a client or stakeholder, not just a plausible-looking guess.

Can I check how Displayr's AI reached an answer?

Yes — and that’s the whole point. Every number traces straight back to the source data, so you can see exactly how Displayr got there and check the working. You get the speed of AI without losing the evidence trail your conclusions depend on.

Do I have to use AI to work in Displayr?

No. Displayr was a full analysis and reporting platform long before the AI features arrived, and all of that still works the way it always did. You can do everything manually, use the AI where it helps, or switch it off entirely at the company level. It’s there to speed you up, not to take the wheel.

What data can I analyse in Displayr?

Survey and market research data — the formats you already work in. Displayr imports SPSS (.sav), Excel, and CSV files, and pulls directly from platforms like Qualtrics and SurveyMonkey.

How is Displayr different from Qualtrics?

Qualtrics is built around collecting survey responses; Displayr is built around analysing them and turning them into reports. Plenty of teams run both — survey in one, the deep analysis and client-ready reporting in Displayr. If your job is making sense of the data and presenting it, that’s where Displayr does the heavy lifting.

Is my data secure and is Displayr enterprise-ready?

Yes. Displayr is SOC 2 Type I compliant, with the access controls and governance enterprise teams need for sensitive client and respondent data. AI use is controlled and auditable — and if you’d rather not use Displayr’s AI at all, you can switch it off at the company level.

How does Displayr turn my team's methods into repeatable workflows?

With Skills. You capture how your team likes to analyse and report once, then reuse it as an AI workflow — so the same standards apply on every project, without rebuilding from scratch each time.

Can Displayr handle high-volume or repeat tracking work?

Yes — this is where Skills earns its keep. Set up your analysis and reporting approach once, then run it across waves, projects, or markets without rebuilding each time. Trackers and recurring studies that used to eat your week become repeatable workflows.

Is Displayr for agencies or in-house insights teams?

Both. Agencies use it to turn projects into client-ready reports faster; in-house teams use it to scale analysis across the business. It adapts to how your team already works.

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