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UXDI Certificate in AI for User Research

From $650
Accredited by
Details
Category:
Product Discovery and Design
Level:
Intermediate
Code:
QACAIUR
Exam:
Not Applicable

Overview

The Certificate in AI for User Research equips learners with the skills to integrate AI into user‑research workflows while maintaining the empathy and critical thinking essential to high‑quality research. This course shows how AI can support research planning, facilitation, analysis and communication of insights, enabling researchers to scale their impact, speed up repetitive tasks and produce richer, more actionable outcomes. This programme is delivered over the course of 3 weeks (2.5 hours each week).

Through live expert‑led masterclasses and practical AI exercises, learners will understand where AI adds value, where it falls short and how to balance efficiency with human insight in an evolving research landscape.



Prerequisites

Participants should have:

  • Experience in user research as part of a design or product role (not necessarily as a full‑time researcher).
  • No prior AI experience required.

Target Audience

This course is designed for:

  • User researchers
  • UX, UI and product designers
  • Product managers
  • Content designers
  • Professionals who want to enhance the quality and efficiency of their research using AI

Learning outcomes

By the end of this course, learners will be able to:

  • Explain where AI adds value in research and where it falls short
  • Write effective prompts for generating better research outputs
  • Create research materials such as screeners, discussion guides and surveys with AI
  • Use AI to support research facilitation, note‑taking and synthesis
  • Analyse and cluster findings using AI without losing human empathy
  • Communicate insights effectively using AI‑assisted tools
  • Evaluate AI research tools based on ethics, cost and usability

Course outline

Introduction to AI in User Research

  • Understanding AI’s role in modern research
  • How AI supports, accelerates and reshapes the researcher’s responsibilities
  • Balancing efficiency with human‑centred insight

Prompting for Research

  • Crafting clear, effective prompts
  • Using prompts to enhance research outputs and quality
  • Avoiding common mistakes and biases

AI for Research Planning

  • Creating first‑draft research materials (recruitment screeners, discussion guides, surveys)
  • Using AI to accelerate preparation and reduce administrative workload

AI for Research Facilitation

  • Using AI for live note‑taking support
  • Understanding limitations of AI‑moderated interviews
  • Evaluating the use of synthetic users and where they fall short

AI for Analysis & Synthesis

  • Clustering themes and extracting insights
  • Summarising research findings
  • Using AI to accelerate analysis while retaining empathy and critical thinking

Communicating Insights & Evaluating AI Tools

  • Drafting reports and adapting insights for different audiences
  • Assessing AI tools for research: ethics, cost, usability and effectiveness

Exams and Assessments

There are no formal exams included.
Learning is reinforced through:

  • Guided prompting exercises
  • Real‑world research scenarios
  • Live group work and discussions during masterclasses

Hands‑On Learning

This course includes:

  • Live, interactive weekly masterclasses with an industry‑leading user‑research expert
  • Practical exercises to apply AI across planning, facilitation, analysis and insight communication
  • Peer collaboration during real‑time sessions
  • Monthly‑updated course content to reflect changes in AI tools and research practice

Why Choose This Course

  • Developed and validated by global leaders in UX and user research
  • Designed by the UX Design Institute — a leader in UX education
  • Provides the balance of human‑centred research and AI efficiency
  • Helps researchers future‑proof their skills in a rapidly changing industry
  • Includes an industry‑recognised Certificate in AI for User Research upon completion

Good to know

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Portfolio Director

Paddy Dhanda

Paddy has over 20 years of real-world experience in various product delivery roles, including Business Analysis, Product Management, and Agile Coaching. Paddy leads QA's portfolio practices for both Agile and Product Discovery and Design.
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