Resources for market research teams
Practical guides, methodology deep-dives, and product updates on AI survey coding, open-ended analysis, and tracking studies.
A Multi-Country Survey Codebook: Definitions, Examples and Change Control
Keep Spanish-language survey codes comparable across Latin American markets with shared definitions, local evidence, stable IDs and documented changes.
How to Test AI Survey Coding on Regional Spanish
A bounded pilot protocol for US agencies: reserve held-out responses, build an independent human reference, inspect code-level errors and measure review effort.
Coding Money Talk in Spanish Surveys
Separate high price, poor value, budget constraints and neutral amounts in Spanish survey responses, with English glosses and practical coding rules.
Coding Spanish Responses in Latin America and Spain
Code Spanish survey responses across Latin America, with Spain as a comparison. Use shared concepts, contextual examples and human review before export.
Best AI Tools to Code Open-Ended Survey Responses (2026)
Eleven ways to code open-ended survey responses with AI and get the codes into SPSS, compared on codebooks, human review, .sav export and tabulation.
Open-Ended Survey Questions: How to Write Ones You Can Code
How to write open-ended survey questions that give you answers you can analyze: wording, examples, how many to include, and what happens at coding time.
Survey Codebook Example: What to Put in Each Entry
A worked survey codebook example: the fields each code needs, include/exclude rules, edge cases, and how to version and review a codebook across waves.
What Is a Codeframe? Definition & Examples
A codeframe is the list of categories used to code open-ended survey responses: what it is, how it differs from a codebook, and how to build one.
Cross-Tabulation Analysis: A Researcher's Guide
What a cross-tabulation is, how to read the base and the significance letters, how to run one in SPSS, and the four mistakes that survive review.
AI Open-End Coding: How It Works and Where It Breaks
How AI codes open-ended survey responses step by step, the five failure modes that survive a demo, and what to check before trusting a codeframe.
Open-End Coding in Market Research: A Working Guide
What open-end coding means in commercial market research: codeframes, multi-coding, waves and deliverables, and how it differs from academic qualitative coding.
Survey Coding: The Complete Guide for Market Researchers
Learn survey coding step by step: build a codebook, review AI assignments and export to SPSS or Excel. See a worked example with initial and reviewed files.
Three AI Layers and Your Review: Research-Grade Coding
Preparation, classification and quality review, then refinement by you: how three AI layers and your team's review deliver consistent open-end coding at scale.
Why Your NPS Analysis Doesn't Drive Action (2026)
Why NPS verbatims rarely lead to clear decisions — and how multi-coding, consistent codebooks, and AI turn them into drivers you can act on.
How to Code Qualitative Survey Data: Complete Guide (2026)
Learn how to code qualitative survey data with rigor and speed. Step-by-step guide to codebooks, themes, and AI-assisted analysis.
NPS Verbatim Analysis: From Comments to Drivers (2026)
Turn NPS open-ended feedback into decisions. How to code verbatims, group them into drivers, and quantify what actually moves your score.
Bot and Fraud Detection in Surveys: Practical Guide (2026)
Spot bots, duplicate panelists, and low-effort answers before they reach your tables. Detection signals, thresholds, and what to do with flagged cases.
How to Keep Codebook Consistency Across Waves (2026)
Keep coding consistent across waves of tracking research. Practical guide to codebook versioning, drift control, and audits.
Export Coded Survey Data to SPSS, R and Python (2026)
Get coded data out cleanly: .sav value labels, encodings that survive accents, and multi-response layouts that don't break your tabs.
How to Code Multi-Language Survey Responses (2026)
Code open-ended responses across languages without losing accuracy. Practical guide to translation, normalization, and consistency.