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May 30, 2025
Combine AI-moderated qual with UX testing to reveal user motivations, emotional insights, and build experiences that connect beyond behavior data.
User experience (UX) testing has long been a critical part of digital product development, helping brands understand how users navigate their platforms and engage with their online shop window.
But is testing usability alone enough?
For brands to truly optimize digital experiences, they need more than just behavioural data…they need to understand why users make certain choices, what they find frustrating and how expectations shape their interactions.
This is where AI-powered qualitative research transforms UX testing, turning raw user actions into meaningful, actionable insights.
Traditional UX testing captures what users do, but it doesn’t always explain why they do it.
By integrating UX testing into qualitative research, brands can move beyond basic usability and probe deeper into user motivations, emotions and decision-making processes.
Did a user hesitate before clicking a button because they were confused or because they were comparing the options? Was someone’s basket abandoned due to poor design or just because the user changed their mind about the purchase?
Qualitative insights help brands connect the dots, ensuring every UX decision is based on real user perspectives, not just observations.
A post-session survey can capture feedback, but the best insights come in the moment, right as users interact with your digital experience.
AI-powered qualitative UX testing allows researchers to ask follow-up questions while users complete tasks, ensuring that their thoughts, frustrations and expectations are captured live, rather than relying on feedback post-task.
By integrating direct questioning into UX research, brands can gain a more accurate and nuanced understanding of how users feel about their experience, gaining insights step-by-step in the moment.
While the core of UX lies in the functionality, the real gold dust is finding out how these digital experiences make users feel. A well-designed interface goes beyond ‘how easy is it to use’. It builds trust, reduces friction and encourages long-term engagement.
Qualitative research helps brands explore how confident users feel when navigating a site, what creates frustration or hesitation and which elements drive positive emotional responses.
By getting a hold of these psychological factors, brands can create more intuitive and engaging digital experiences that connect with users on a deeper level.
In many organizations, UX testing and qualitative research happen away from each other, requiring multiple tools, teams and workflows.
But what if these could happen in tandem?
By embedding UX testing within qualitative research, brands can run usability testing and qualitative deep dives in the same study, capturing live screen recordings alongside in-depth conversations.
This eliminates the need for separate tools and manual data integration, ensuring faster insights, greater research efficiency and a truer understanding of the user experience.
By combining UX testing with qualitative analysis, brands gain clearer, stronger insights to refine digital experiences.
AI-moderated UX testing helps research teams identify usability challenges in real time, capture direct user feedback and uncover the deeper motivations behind user behaviour.
Traditional UX testing focuses on clicks and completion rates, but integrating qualitative research reveals the why behind every interaction.
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The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.
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