OneRange

AI for Market & UX Research

Researchers and insights teams learn to use AI to design, run, and synthesize research. The course covers survey and guide design, synthesis, themes, competitive scans, and maintaining rigor and avoiding bias. Learners finish able to turn research around faster without losing trustworthiness.

What this course covers

The course runs across 5 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • AI-Assisted Research Design: Prompting for Guides & Surveys — Learn to draft discussion guides and survey questionnaires using AI. Discover how to program constraints, specify target demographics, and establish guardrails to prevent leading questions.
  • Maintaining Rigor and Mitigating AI Bias — Evaluate the risks of AI-generated research materials, including hallucinated trends and cultural biases. Practice auditing AI outputs against established academic and industry research standards.
  • Synthesizing Qualitative Data at Scale — Upload transcripts and open-ended responses into AI tools to cluster findings and extract key themes. Learn how to verify AI-generated summaries against raw source data to ensure accuracy.
  • Conducting AI-Powered Competitive Scans — Use AI to ingest, analyze, and compare competitor product reviews, feature sets, and market positioning. Practice generating SWOT analyses and identifying market gaps.
  • Balancing Speed and Trustworthiness in Stakeholder Delivery — Navigate real-world trade-offs when stakeholders demand rapid turnarounds. Practice defending your research methodology, setting limits on AI usage, and presenting trustworthy insights.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to User Experience (UX) Research, AI Tool Usage, Market Research, UX Writing, Thematic Analysis.

  • User Experience (UX) Research
  • AI Tool Usage
  • Market Research
  • UX Writing
  • Thematic Analysis

Who it is for

Researchers, insights teams. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Function: Market Research track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

  • All Marketing AI training courses →
  • AI for Product Marketing — A PMM-focused course on using AI for positioning work, launches, competitive intelligence, and enablement content. Learners develop a launch messaging kit with AI as their drafting partner.
  • AI for Paid & Performance Marketing — This course applies AI to paid media: generating and testing creative at volume, analyzing spend, and working with the platforms' own AI bidding. Learners leave with a faster test-and-learn loop.
  • AI for SEO Specialists — A specialist course on AI-assisted SEO: research, optimization, and technical auditing - plus the new discipline of visibility in AI-powered search. Learners audit and improve real pages hands-on.
  • AI for Marketing: Core — Learners use AI to create content, plan campaigns, and analyze performance while protecting brand. The course covers content creation, campaign planning, SEO and analytics, and brand voice and review. Participants finish able to ship more marketing, faster, and on-brand.
  • AI for Lifecycle & Customer Marketing — Lifecycle and CRM marketers learn to build AI-driven lifecycle and retention programs. The course covers segmentation, email and journeys, personalization, win-back, and testing. Participants finish able to run more sophisticated lifecycle programs with less manual work.
  • Marketing AI Readiness — Marketing AI Readiness: where each marketer stands today.
  • Product Management with AI — Use AI across discovery, specs, and prioritization

Related

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code FUN-MR.