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Practical guidance from Z Johnson on using AI in market research, choosing training, protecting research data, building team policies, and writing prompts that produce better work.

Written by Z Johnson · Last updated

How Market Researchers Are Actually Using AI in 2026

Where research teams are getting practical value, and where AI still falls short.

AI Training for Market Research Teams: What to Look For (and What to Skip)

How to choose training that builds durable research skills instead of showcasing tools.

What Data Should Market Researchers Never Put Into an AI Tool?

A practical checklist for respondent PII, client data, and enterprise safeguards.

How to Write an AI Acceptable-Use Policy for a Market Research Team

A short, specific structure teams can actually follow.

Prompt Frameworks for Market Research: A Starter Guide

Three practical patterns with prompts you can adapt today.

What Goes Into an LLM — and What Doesn't

Practical data privacy for researchers — toggles, PII, and enterprise gotchas.

Do You Need a Prompt Framework Like RACE, RTF, or COSTAR?

Why context and structure beat acronym frameworks for everyday research tasks.

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