Displayr AI
Displayr AI provides capabilities for efficient, streamlined data analysis and reporting. One of its key features is the ability to transform confusing, lengthy...
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What is Displayr AI?
Displayr AI is an AI-powered research assistant designed to streamline market research and data analysis workflows. It automates heavy lifting tasks like tidying variable labels, analyzing open-ended responses, summarizing data tables and reports, and extracting insights from raw data. The tool transforms confusing or lengthy variable names into clear, meaningful labels, making datasets and reports more intuitive for everyone.
Key features include automatic theme identification in open-ended text, sentiment analysis, purchase intent detection, brand affinity analysis, text categorization with custom category limits, and translation of responses across languages. Displayr AI also offers custom prompt engineering for full control, task-level AI actions through natural language chat (creating tables, applying filters, building charts, running ANOVA, k-means clustering, PCA), and the Research Agent that goes from raw data to client-ready PowerPoint reports in minutes. The Data Preparation Agent automatically cleans survey data by fixing reversed scales, flagging poor-quality responses, creating NPS and top-2-box variables, and categorizing open-ended text.
Displayr AI is designed for insights professionals, market research teams, research agencies, brand and CX teams, consultants, and anyone working with survey data, SQL databases, Excel, CSV, SPSS, or survey platforms. It serves both novices and experts, offering an all-in-one workspace that connects data sources, analysis techniques, and reporting formats seamlessly.
Displayr AI pricing
Pricing model: Freemium
AI functions are included with your Displayr license. For extreme levels of usage, additional fees may apply. Displayr AI uses a limited pool of tokens (AI allowance) shared across all licenses in your account. When the AI allowance is exhausted, a legacy algorithm is used if available. Users can contact support to purchase an increased AI allowance. The website mentions getting started free with Displayr, though specific free tier details and paid plan pricing amounts are not explicitly stated on the AI page.
Displayr AI pros
- Automatically identifies themes in open-ended responses faster than manual coding
- Tidies confusing variable names into clear, meaningful labels instantly
- Supports sentiment analysis, purchase intent, and brand affinity detection
- Translates open-ended responses across languages during theme creation
- Custom prompt engineering gives full control over AI output
- Research Agent generates client-ready PowerPoint reports from raw data in minutes
- Task-level AI chat creates tables, charts, filters without navigating menus
- Data Preparation Agent fixes reversed scales and flags poor-quality responses automatically
- Creates NPS scores and top-2-box binary variables automatically
- Text categorization allows custom category limits tailored to specific needs
- Summarizes data tables, charts, and entire reports with strategic recommendations
- Works with SQL, Excel, CSV, SPSS, survey platforms, APIs, and more
- Supports ANOVA, k-means clustering, principal component analysis via chat
- All AI outputs are standard editable Displayr objects connected to underlying data
- Cuts reporting and analysis time by 25% as demonstrated by AFJ Consulting
Displayr AI cons
- AI models may contain material inaccuracies and require human review
- Cannot choose which AI model to connect Displayr to
- AI image generation is not supported within Displayr
- AI allowance is a limited token pool shared across all licenses in an account
- Extremely high usage levels may incur additional fees beyond license
- Extraction of tables to R or JSON for large language models is not supported
- AI cannot execute precise calculations and results are not reliable for precise reporting
- Data preparation steps must be manually reviewed and modified despite automation
Frequently asked questions about Displayr AI
Can Displayr AI analyze and categorize text data?
Yes. Displayr AI automatically identifies themes, categorizes responses, and generates intuitive labels. You can collaborate with the AI or let it handle classification end-to-end – making text analysis faster and more consistent.
Can Displayr AI translate open-ended responses?
Yes. Displayr AI supports instant translation across languages, even during theme creation and classification – ideal for working with international or multilingual survey data.
Can I customize how the AI works?
Absolutely. You can build custom AI features, connect your own data, or write your own prompts. Displayr AI adapts to your specific needs—whether you're transforming data or building tailored reporting workflows.
What data gets processed by AI?
When using any AI function, only the data you provide to the function is included in the prompt to the AI. For example, when conducting text classification, all responses and metadata for the question(s) being classified are included, but none of the other data in your data file or document.
Are AI functions included with my Displayr license?
Yes. AI functions are included with your Displayr license. For extreme levels of usage, additional fees may apply.
How do I opt in or out of Displayr AI?
Accounts are by default opted out of Displayr AI because companies may have different internal policies regarding using AI services. To enable Displayr AI analysis features on your entire account, you must enable the feature via the dropdown in Account Settings > General > Displayr AI and accept the Displayr AI - Terms of Use.
Can AI automate data cleaning and preprocessing?
Currently, you can use AI in Displayr to clean text variables and identify inconsistent data in your data set. You can also use AI to translate and/or classify text data. The Data Preparation Agent specifically automates survey data cleaning by fixing scales, flagging poor-quality responses, and creating derived variables.
How can AI be used to categorize open-ended text responses?
There are two ways: For more control over AI-generated themes and response assignment, use How to Classify Text Data. For quick categorization, select a text variable in the Data Sources tree, click + > Custom Code > AI > Text, and edit the Prompt. Note that the quick method doesn't allow reassigning responses, reusing the code frame, or updating for same results.
Can AI interpret a table that contains significant differences like arrows and font colors?
Yes. If you have turned on arrows and font colors or compare columns on a table, you can use AI > Summarize, and the significant results will be included in the AI-generated interpretation summary.
What is Displayr's Research Agent?
The Research Agent is an agentic AI feature that goes from raw data to client-ready reports in minutes. It analyzes your data, builds charts and dashboards, summarizes key findings, writes strategic recommendations, and makes it easy to export everything to PowerPoint.