Lindsey DeWitt
Maximizing Research Efficiency: Making AI Work for You - Navigating Uncertainty in UX with Confidence and Curiosity
Tara Bosenick, Leena Jain
9:00 AM
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8 hr
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BIC, Bangalore
As the UX world evolves, researchers are increasingly navigating uncertain terrain: new tools emerge daily, methods shift, and expectations around speed, scalability, and efficiency are rising. AI promises to change everything – but how can we, as UX professionals, adopt these tools in a way that is informed, practical, and ethically grounded?
This workshop explores exactly that. Rooted in the Masterclass theme “Navigating Uncertainty: Fun, Flow, and the Future of UX”, we take participants on a structured, exploratory journey through the application of AI in UX research – combining clear guidance with playful experimentation.
We focus on three core questions:
Which AI tools can truly enhance your research process – and how?
Where are the boundaries of AI in practice – and what still needs human intuition?
How do we maintain flow and quality in a fast-changing digital environment?
Through five focused modules, we introduce participants to a practical toolkit for integrating AI meaningfully into their daily work. At the center: clarity, confidence, and critical thinking – not hype.
Module 1: Overview of Current AI Tools in UX Research
We begin by mapping the landscape of AI-powered tools that are relevant across the research process – from planning and execution to analysis and synthesis. In this module, participants will:
Explore tools for writing, analysis, transcription, and automation
Learn criteria for evaluating tools based on quality, usefulness, and compliance (incl. GDPR)
Reflect on which tools fit their context – and which might pose risks
This section gives orientation in a fragmented and fast-moving tool ecosystem, building the foundation for confident decision-making.
Module 2: Creating Interview Guides with AI – Why Prompting Matters
Strong research starts with a strong interview guide – and AI can help. But it’s only as good as the prompts we give it. In this module, participants will:
Practice writing and refining prompts to generate relevant and insightful interview questions
Discover which research goals AI supports best – and where manual effort still pays off
Test how small changes in phrasing affect the depth and focus of AI-generated content
Participants will compare different guide versions generated from the same research objective, reflecting on quality and usability.
Module 3: AI-Powered Interviewing – Testing the Bots
Yes, AI can now conduct interviews. But does that make sense in UX research? In this session, we explore:
Live demonstrations of two interview bots – with different levels of sophistication
The structure, responsiveness, and conversational quality of AI interviews
Limitations in emotional nuance, follow-ups, and dynamic adaptation
Ethical and practical considerations for using bots in moderated or unmoderated studies
We also discuss when automation might help – for example, in low-stakes surveys or early-stage exploration – and when a human is irreplaceable.
Module 4: Qualitative Analysis with AI – Turning Transcripts into Insight
Analysing interviews is one of the most time-consuming steps in UX research. Can AI really help here? This part focuses on:
How AI supports thematic analysis, summarisation, and frequency mapping
Ways to structure prompts for coding and clustering responses
Trade-offs between speed and interpretive nuance
How to verify the quality and coherence of AI-generated insights
We use real-world data samples (fully anonymized) and compare AI-assisted versus manual coding approaches.
Module 5: From Uncertainty to Clarity – Mapping AI’s Role in Your Workflow
To close the workshop, we shift the lens from tools to strategy. Participants will:
Reflect on their own research routines and pain points
Identify repetitive tasks that could be streamlined with AI
Develop actionable ideas for improving efficiency in a responsible, future-oriented way
Share and discuss use cases across different industries and contexts
This is where the “fun and future” come into play: by allowing space for individual exploration and creative reframing, we equip researchers not just with tools, but with the mindset to face change confidently.
🎯 Key Takeaways for Participants
After this workshop, participants will:
✅ Have tested and evaluated several AI tools specific to UX research
✅ Be equipped to judge AI-generated content for quality and reliability
✅ Understand how to write effective prompts for different research phases
✅ Know when and how AI can replace, enhance, or complement human effort
✅ Have developed personal strategies for applying AI in their own work context
✅ Be more confident and curious about the future of AI in UX
👥 Who Should Attend?
This workshop is ideal for:
UX researchers and designers curious about integrating AI
Research leads exploring future-ready workflows
Innovation teams seeking to combine quality with speed
Anyone who wants to stop fearing the AI hype – and start shaping it
You don’t need prior experience with AI. This session is made for newcomers and seasoned professionals who want to reflect, test, and get inspired.
🛠 Workshop Format & Requirements
Duration: approx. 8 hours
Structure: Presentation, guided exercises, group reflection
Tools: Access to AI tools and prompts provided – no prior setup needed
Style: Explorative, structured, and collaborative – balancing clarity with creative flow
Let’s explore the uncertainty of AI together – with real tools, real questions, and a mindset that embraces both critical thinking and future fun.