Summary
Explore why UX teams are moving from you-know-who to Voxpopme. In this fireside chat, Andy Barraclough, Voxpopme's CEO will explain why his company is experiencing a flood of UX researchers looking for a more efficient, user-friendly UX research platform. During the talk, he will also give a walkthrough of Voxpopme’s core functionality -- screen recording, moderated interviews, respondent recruitment, and AI -- and provide a glimpse into its friendlier pricing model.
Key Insights
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UX teams are moving away from complex, costly testing platforms to focus on core needs like screen recording, user conversations, sourcing, and analytics.
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Rising prices and stricter contracts from leading UX research platforms are driving teams to seek more flexible, affordable alternatives like Vox PopMe.
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Generative AI is being used not only to analyze qualitative video research faster but also to help design research instruments like screener and discussion guides.
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Vox PopMe enables scalable analysis of thousands of hours of qualitative video data, significantly reducing mundane manual research tasks.
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An insights repository that centralizes and indexes all research data helps avoid siloed knowledge and enriches ongoing research efforts.
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AI-powered chat interfaces allow researchers to ask natural language questions of their entire qualitative dataset and get immediate, evidence-backed answers.
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Stakeholder engagement improves when real user voices are shared directly alongside distilled insights, making findings more relatable and impactful.
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Existing user research often contains untapped insights beyond the original study focus that AI can help uncover by flexible searching across datasets.
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AI-moderated interviews may soon overcome traditional recruitment and scheduling challenges by automating more in-depth qualitative sessions.
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Emerging AI vision technologies hold promise for analyzing nonverbal user cues during video research to better gauge emotional reactions and interaction pain points.
Notable Quotes
"UX research platforms often get way over complicated very quickly, but ultimately we need to do some core things well."
"A lot of our clients are downloading their content from other platforms and uploading it into ours to support a smooth transition."
"I'm surprised if anyone here isn't using AI in some professional or personal capacity by now."
"Manual analysis of unmoderated interviews and screen recordings is a huge time sink that limits researchers' focus on high-value work."
"With good prompting, generative AI can get you really close to a deliverable, not just help a little along the way."
"Our customers can now get straight to the answers they need by querying across past research—even if it was done under different objectives."
"An insights repository means that you don’t lose voice of the customer and you can reuse and build on past discoveries."
"Researchers struggle when tools are frustrating to use that sometimes they accept poor analysis rather than finding better solutions."
"The ability to quickly pull correlated themes and summaries aligned to your objectives was not available in prior platforms."
"Sharing real user voices alongside insights helps stakeholders connect emotionally and internalize research findings better."
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