Specialise
AI in UX Research Workbook: Learn how to use AI across the research process without handing your judgement over to it. A complete Notion learning workspace combining the full workbook, practical exercises, reusable templates, checklists and tools for building responsible AI-supported research.
Interactive Notion workspace + 163-page PDF workbook · One-off purchase · Instant access
163
Pages of practical
learning
8
Practical
exercises
1
Interactive Notion learning workspace
12
Templates, checklists
& cheat sheets
Product snapshot
More than a workbook. A working space for AI-supported research.
The PDF gives you the structured learning. The Notion workspace turns that learning into something you can actually use, bringing the chapters, exercises, templates, checklists and practical tools together in one place.
Inside, you can move between learning and application without having to build your own system from scratch:
-
read the complete workbook chapter by chapter;
-
complete the exercises directly alongside the learning;
-
use ready-made templates in real research projects;
-
return to checklists and cheat sheets when making decisions;
-
build and document your own AI-supported research workflows.
What’s inside
One workspace for learning, practising and applying AI in research. Everything is organised inside the Notion workspace, with the full PDF available to download alongside the interactive material.
1
Complete AI in UX Research Workbook
Work through the full 163-page workbook covering AI fundamentals, research practice, workflows, agents, bias, ethics and human-led decision-making.
2
9 In-Depth Learning Chapters
Move from understanding AI without technical jargon through to applying it across research, designing agents and turning AI outputs into defensible research decisions.
3
8 Practical Exercises
Apply the learning through exercises on research boundaries, AI-supported workflows, bias, ethical risk, research decisions and agent design.
4
Reusable Research Templates
Use practical tools including the AI Use Decision Canvas, AI-Supported Research Workflow Builder, AI Output Review & Validation Log, Bias & Representation Audit, AI Ethics & Accountability Record and stakeholder explanation template.
5
Cheat Sheets & Decision Checklists
Return to quick-reference tools for deciding whether AI should be used, checking confidence against evidence, protecting human-in-the-loop decisions and communicating AI use to stakeholders.
6
Build Your Own AI Research Agent
Design a practical research agent without coding, defining its role, boundaries, inputs, outputs and the points where a human must intervene. The workbook explicitly treats agents as designed participants in a workflow rather than replacements for researchers.
7
Your Ongoing Research Workspace
Duplicate the Notion workspace into your own account and keep using the templates, exercises and decision tools across future research projects.
Who it’s for & what it helps you do
Built for Service Designers, UX Researchers, designers and adjacent practitioners who are starting to use AI in research and need to understand where it genuinely helps, where it creates risk and where human judgement must remain in control.
Within the Learning Path, this specialism helps you build AI literacy as part of stronger research and Service Design practice
Use AI without outsourcing judgement
Understand what AI can support, what it cannot understand and which research decisions must remain human-led.
Build better research workflows
Use AI across discovery, synthesis, planning and analysis in ways that reduce effort without weakening context, nuance or research quality.
Recognise risk before it reaches the service
Spot bias, missing voices, false confidence, weak evidence and ethical problems before AI-generated outputs influence wider product or service decisions.
Design responsible AI-supported systems
Move beyond isolated prompts and tools to create structured workflows and agents with clear roles, boundaries, checkpoints and accountability.
Part of The Curious Society Learning Path
Explore the full Learning Path
This workbook sits within step 3 - Specialise, where you deepen capability in areas that increasingly shape modern Service Design practice. Use it to strengthen how you work with AI and research evidence, explore the Psychology specialism, or continue into Advance to work with systems, complexity and organisational reality.