AI-Powered Survey Data Cleaning Software

Displayr contains all the tools market researchers and insights professionals need to check and clean survey data before you start analyzing it. You can manually clean your study, working from variable to variable, or automate the entire process – whatever works best for you.

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Trusted by 2,900+ research teams worldwide

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Clean survey data automatically with the Data Prep Agent

Data cleaning in Displayr can now be assigned to our Data Prep Agent – your new team member that absolutely loves doing the gritty work.

Point the agent at a raw survey file and it checks, cleans and structures it in seconds – flagging missing labels, flatlining, outliers and categories too small to report on. Every step it takes is recorded, so you can see what changed and why, and re-run the same steps when the next wave arrives.

Visualizations designed for data cleaning

Displayr has special-purpose visualizations for finding patterns in missing data and a great Sankey plot visualization for checking questionnaire routings.

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Automatic data checking

Displayr can automatically hunt through your data finding all the standard problems: missing labels, missing data problems, flatlining, outliers, and categories that are so small that the categories need to be merged.

Drag-and-drop merging of categories

There’s no need to write code or go into a complex dialog box to merge categories. Just drag and drop. Or use advanced automation techniques to merge large quantities of data at the same time automatically.

Easy and automated recoding

Do all the standard recoding with the click of a button (e.g., NPS, top 2 boxes, etc.)

Automatic updating of cleaning and checking

Have a new wave of data? When you import it in, all your data checking and cleaning will be automatically applied for you, without you having to do anything. Even your final report will be updated automatically, making it easy to go back and fix things.

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Create your own automations

Does your company have a standard way that it always does its cleaning and checking? You can entirely automate this process for new studies.

Easy auditing

No matter what analysis you have done, you can always work out exactly how it was created and what data cleaning was done, tracing your way back to the raw data.

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

Founder, MAC Research

10x faster survey data cleaning

Displayr works with all types of data

All types of data

SQL, databases, Excel, CSV, text, SPSS, survey platforms, APIs, integrations, & more.

Displayr support all types of analysis

All types of analysis

Summary tables, crosstabs, pivot tables, regression,
text analysis, segmentation, machine learning, & more.

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All types of reporting

Data visualization, interactive data apps, dashboards, presentations, PowerPoint, Excel, PDF, web pages, & more.

Integrated AI

Integrated AI

Displayr’s Research Agents integrate AI across your full workflow, from data cleaning to analysis to reporting.

Case Study - LEWERS

Global Market Research Agency

Displayr helps Lewers cut reporting and analysis time by 2/3rds

Challenges

  • Need to deliver results fast with quick turnaround times for projects
  • High likelihood of human error involved in so much manual work

Solutions

  • Dashboard solution that automates manual processes
  • Interactive, live dashboards to share with and empower their clients

Results

  • 71% time saved on data analysis and reports
  • Added value for clients

“Once our clients started using the dashboard and saw how easy it was to navigate around, they actually got more involved with the reporting.”
Michelle Mercer
Michelle Mercer
Data Analyst, Lewers

See why people love Displayr

How to clean survey data in four steps

Cleaning survey data comes down to four steps: check for missing or invalid responses, identify outliers, clean open-ended text, and standardize variables. Doing it by hand takes hours per wave, and it’s where most analysis errors start. Here’s what each step involves, and what Displayr does for you automatically.
Step What it involves In Displayr
1. Check for missing or invalid responses Find blank, partial and illogical answers before they reach your tables The Data Prep Agent flags missing and inconsistent data on import, and automatic checking finds missing labels
2. Identify outliers Spot flatlining, low-effort responses and out-of-range values Automatic checking hunts through every variable for flatlining, low-effort text and outliers
3. Clean open-ended text Categorize verbatims so free text can be analyzed alongside everything else AI text categorization turns free-text answers into structured variables you can review and edit
4. Standardize variables Merge small categories, recode, relabel, and fix scales that run the wrong way Renames variables in plain English, reverses inverted scales and merges categories by drag-and-drop — re-run on every new wave

Survey data cleaning FAQs

What is a data cleaning tool and why do researchers use it?

A data cleaning tool helps identify and fix errors, inconsistencies, and missing values in datasets, ensuring survey data is accurate and reducing time spent on tidying data.

Market research companies clean survey data using automated tools that detect duplicates, outliers, illogical responses, and incomplete answers. Check out our beginner’s guide to data cleaning for more.
The best way to clean survey data for analysis is to follow a structured process: check for missing or invalid responses, identify outliers, clean open-ended text, and standardize variables. Using a survey data cleaning tool can automate much of this process and improve consistency.
Effective data cleaning can involve manual review, rule-based filtering, AI-assisted text classification, and real-time survey logic. The approach depends on the survey size, data complexity, and the goals of the analysis.
Displayr helps researchers automate the data tidying process in a number of ways. In particular, the powerful text analysis tool makes it easy to tidy open-ended responses.

Survey data cleaning is essential in market research because even small errors or inconsistencies can lead to misleading insights. Clean data ensures your conclusions are valid, and your reports reflect accurate, actionable results.

Displayr’s data cleaning capabilities are for anyone that works with survey data professionally. This typically includes market research agencies, in-house insights teams and data processing teams. It suits both researchers who want to clean variable by variable and teams who want the whole process automated on every wave.

Data cleaning comes included in any Professional or Enterprise licence. See here for our latest pricing information. 

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