SurveyCat Blog
Practical guides on AI survey analysis, open-ended response categorization, and qualitative research — written for researchers, analysts, and data teams.
Displayr Alternative: Verbatim Coding Without the Enterprise Price
If you just need open-end verbatim coding, not a full analytics platform, here is a simpler option with published pricing.
Read article →Best AI-Powered Survey Analysis Tool
Comparing the top AI tools for survey analysis — what to look for and why SurveyCat stands out for open-text categorization.
Read article →How to Automatically Categorize Survey Text
Learn how to automatically categorize free-text survey responses using AI tools without writing a single line of code.
Read article →How to Code Qualitative Data from Surveys (The Easy Way)
A beginner-friendly guide to coding qualitative survey data, and how AI tools are making it faster for everyone.
Read article →How to Code Open-Ended Responses From a Qualtrics Export
Which export to choose, how to handle the three header rows and _TEXT columns, and how to get coded columns back.
Read article →How to Analyze NPS Open-Ended Responses at Scale
NPS scores tell you the what. Open-ended follow-up comments tell you the why. Here is how to analyze NPS text responses systematically at scale.
Read article →Index
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Read article →How Marketing Teams Use AI to Analyze Open-Ended Feedback
Marketing teams are using AI to process survey feedback at scale. Here is how they do it and why it matters.
Read article →HR Survey Analysis: Using AI to Process Employee Feedback
HR teams collect thousands of open-ended responses. Here is how AI makes employee survey analysis faster and more reliable.
Read article →AI Coding of Open-Ended Survey Responses in SPSS (.sav)
Upload a .sav, approve the categories, and get the same file back with labelled 0/1 variables. Sample .sav files and MULT RESPONSE syntax included.
Read article →Thematic Analysis Software for Survey Data: A Practical Comparison
Comparing thematic analysis tools for survey researchers, from manual spreadsheets to AI-powered automation.
Read article →SurveyMonkey Text Analysis: Limitations and Better Alternatives
SurveyMonkey's built-in text analysis is limited to SurveyMonkey data. Here are better alternatives for analyzing open-ended responses from any source.
Read article →Qualitative Coding vs. AI Categorization: What Researchers Need to Know
How traditional qualitative coding compares to AI-powered categorization, and when to use each for survey research.
Read article →SurveyCat vs. Survey Coder Pro: An Honest Comparison
Price per coded response, review after coding, SPSS and Stata support, crosstabs and data handling, side by side, including where each one fits best.
Read article →How to Analyze Survey Data Without Expensive Enterprise Software
Qualtrics costs $1,500–$5,000/year. NVivo costs $1,540/year. Here is how to analyze open-ended survey data affordably — with no subscription required.
Read article →How to Analyze Open-Ended Text Survey Responses
A practical guide to analyzing open-ended survey responses, from manual approaches to AI-powered automation.
Read article →Top Use Cases for AI Survey Categorization Tools
From UX research to market research, explore the most common use cases for AI-powered survey categorization tools.
Read article →NVivo Alternative for Survey Analysis: Faster, Cheaper, No Training Required
NVivo costs $1,540+/year and takes weeks to learn. Compare the best alternatives for categorizing open-ended responses without the enterprise price tag.
Read article →Thematic Alternative for Small Research Teams
AI-powered open-end coding for boutique agencies and solo researchers, without the demo call or contract.
Read article →How to Reuse a Codebook Across Survey Waves
Freeze, version and reuse your codeframe so tracking-study trends compare like with like, wave after wave.
Read article →Best Practices for Automating Survey Data Categorization
A step-by-step guide to automating your survey data categorization workflow to save time and reduce manual errors.
Read article →AI-Powered Customer Feedback Analysis
How to use AI to automatically analyze customer feedback at scale and turn open-text into actionable insights.
Read article →Employee Engagement Survey Text Analysis: How HR Teams Use AI
HR teams collect thousands of open-ended employee survey responses. Here is how AI-powered text analysis turns raw feedback into actionable insights.
Read article →Excel Survey Response Categorization: A Practical Tutorial
Download the sample workbooks and build a category summary, segment breakdown, quote lists and a chart with ordinary Excel formulas.
Read article →How to Code Open-Ended Survey Responses Without Enterprise Software
The hybrid approach to verbatim coding: AI first pass, researcher review, bulk labeling. No enterprise tool needed.
Read article →How to Automatically Code Open-Ended Responses in Stata
Skip the strpos() rules: .dta in, .dta out with labelled category variables, plus a do-file for tabstat, mrtab and regression.
Read article →AI Verbatim Coding Software for Research Agencies: A Practical Comparison
What agencies need from verbatim coding software, how the main types of tool compare, and how to cost a study before you commit.
Read article →AI Tools for Academic Research Survey Analysis
A guide for academics and graduate students on using AI to categorize survey responses for research papers and theses.
Read article →Best Qualtrics Text iQ Alternatives for Survey Analysis (2025)
Qualtrics Text iQ costs thousands per year and only works inside Qualtrics. Here are the best alternatives for AI-powered open-ended survey analysis.
Read article →Exit Interview Analysis: Turn Qualitative Responses into Actionable Turnover Data
How HR teams systematically categorize exit interview responses to understand turnover drivers — and build the kind of data that changes organizational decisions.
Read article →How to Analyze Free-Text Survey Responses in Excel (and When to Use AI)
What Excel can actually do with open-ended survey text, where it falls short, and when an AI categorization tool is the better choice.
Read article →Customer Satisfaction Surveys Made Easy with AI Categorization
How AI categorization transforms CSAT survey analysis, helping CX teams find patterns faster in open-text feedback.
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