Displayr

What it is

Displayr is an analysis and reporting platform for market research. The homepage labels it "AI for market research" and says it "turns your survey data into analysis, reports, and answers, with every number traced back to the tables, tests, weights, variables, and source." It is built for research agencies, in-house insights teams and the automation people who support them, and the company says it is "trusted by 2,900+ research teams worldwide." Its dashboard generator page says it is "built for market research and survey data," and it works for anything from a one-page KPI summary to a full NPS or brand tracker. The footer names the company as Displayr Pty Ltd.

What you build and how

You build interactive online dashboards and client reports from survey and spreadsheet files. The company's dashboard page lays out 3 steps:

1. Upload. "Upload an Excel, CSV or SPSS file, or connect your data collection tool." Displayr "detects your question types and column formats automatically." For survey files from SPSS (.sav), Qualtrics, SurveyMonkey or Google Sheets, Displayr "keeps the question labels, value labels and weights, so the dashboard is ready to filter by segment as soon as it opens."
2. Let AI choose the charts and layout. The AI reads every column and "builds a first-draft dashboard with the charts, tables and KPI tiles chosen for your data." The homepage says the platform runs your data "through cleaning, crosstabs, statistical testing, and weighting, then builds the report for you."
3. Add filters, style it, and publish online. The dashboard builder offers "over 100 different visualizations," ready-made slides and your own filters, and you can "add shapes, images, media, fonts, or any other design element." The page says the 3 steps "take under ten minutes for a typical survey."

The page names the dashboards people build: an NPS dashboard, brand tracking, customer feedback (CSAT), segmentation and KPI dashboards, "with significance testing built in." Dashboards are connected to the data, so "when your results get updated, so do your visualizations." The site pitches that as ideal for time series and trackers: "Build the dashboard once and it stays current for the life of the tracker."

The homepage describes the larger workflow in 4 steps. After upload and analysis comes "Build the report," which turns analysis "into pages, charts, commentary, summaries, recommendations, and PowerPoint-ready outputs," and then "Answer questions live," meaning you publish reports "stakeholders can interrogate, with answers linked back to the evidence behind them." That live-report idea is how the product covers the dashboard use case for a client: the end user gets a link, can filter by segment and can see where a number came from.

Traceability is the product's main argument against general AI tools. "Follow claims back to the source table, chart, variables, weights, tests, and data." The company says "AI helps orchestrate the work. The math is done by established statistical algorithms," and that you "review, edit, rerun, override, and standardize the workflow before anything goes to a stakeholder." The FAQ adds that you can do everything manually, use the AI where it helps, or "switch it off entirely at the company level."

A newer feature called Skills lets a team "turn your team's methods into repeatable AI workflows," with examples such as the checklist, the analysis standard, the chart style, the naming rules and the brand health method. The FAQ says you set the approach up once and "run it across waves, projects, or markets without rebuilding each time." Sharing is online: "send a link or embed your dashboard anywhere, on any device," with security controls over who can access it. The site also lists free tools, including a Pictograph Maker, a Weighting Calculator, an Online Crosstab Builder and a Survey Analyzer.

Beyond dashboards, the product menu shows how much statistical work sits underneath. Its techniques list covers a Research Agent, AI reporting, tables and crosstabs, text analytics, statistical testing, weighting, factor analysis, driver analysis, generative AI, correspondence analysis, cluster and latent class analysis, MaxDiff, conjoint, TURF and regression. Its capabilities list names survey analysis, data cleaning, data visualization, story finding, PowerPoint automation, automatic updating, dashboarding and data app building, and the product description adds PowerPoint and PDF export and real-time collaboration. The objectives it targets are new product development, longitudinal analysis, customer feedback, segmentation, brand analytics, advertising research and pricing research.

Plans, pricing and claims

The pages publish no prices and no plan names. A "View plans and pricing" link leads away, and the site offers "Start free trial," "Sign up for free" and "Book a demo" buttons. The FAQ answers "Is the AI dashboard generator free?" with "Yes, this is a free AI dashboard generator/free dashboard maker to try," then adds "after the free trial, ongoing use of Displayr requires a paid subscription." So this is a free trial, not a free plan.

On security, the homepage lists "Enterprise-ready security: SOC 2 Type II, enterprise controls, and regional hosting options for teams with strict data requirements," and the FAQ repeats "Displayr is SOC 2 Type II compliant, with the access controls and governance enterprise teams need for sensitive client and respondent data." It says AI use is "controlled and auditable." The footer links a Trust Center and a GDPR and CCPA page.

Customer evidence is 2 named testimonials and 1 headline count. Michael Alborough, Founder of MAC Research, says "Life without Displayr would be like going back to the dark ages." Bettina Kiss, Visual Analytics at DataExpert, says creating "branded, logoed, interactive presentations that connect with customers is pretty much effortless with Displayr." The 2,900+ figure is the company's own claim, and no logo wall is described as a customer list. On data formats the FAQ says Displayr "imports SPSS (.sav), Excel, and CSV files, and pulls directly from platforms like Qualtrics and SurveyMonkey."

Who it suits and who it does not

Displayr suits a research agency that has to turn weekly or monthly survey waves into client-ready dashboards and decks without redoing the layout each time, and an in-house insights team that wants stakeholders to explore results themselves. A founder of a small research shop gets weighting, crosstabs and significance testing without scripting. Skills are aimed at recurring work: trackers and studies "that used to eat your week."

It is a poor match for a team with no survey or research data. The product is organized around survey files, research methods and survey platforms, so a team that wants general KPI dashboards over sales or billing data is not the reader it is built for. Because pricing is not published and the free route is a trial, a small team should expect a sales or sign-up step before it knows the cost. And a team that wants to build apps, forms or workflows will not find them here.