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Developers got AI code copilots. Product managers got AI-generated specs. Researchers watched productivity explode next door and felt the pressure to match it.
But when AI tools hallucinate, it's research that gets blamed.
We're joining forces with Nikki Anderson (Drop In Research) for an honest conversation about what AI actually does and doesn't do well in research workflows, with a practical workflow through Survicate's Research Hub.
Nikki helps product teams make faster, clearer decisions through practical, business-aligned research. She builds AI-enabled research systems, raises research maturity, and turns insights into roadmap decisions. She leads widely used training programs and writes the User Research Strategist newsletter, read by thousands of UX researchers. Known for transparency and actionable insights, she’s shaping the future of research while chasing waves and geeking out over Pokémon.
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Tom leads Product Marketing at Survicate, keeping users updated with regular product releases and translating customer feedback into creative campaigns.
He works directly with customers and sales teams to ensure Survicate solves real-world problems. When he's not refining messaging, he's collecting feedback (yes, using Survicate) to keep the product team in touch with what customers want next.
Tom leads Product Marketing at Survicate, keeping users updated with regular product releases and translating customer feedback into creative campaigns.
He works directly with customers and sales teams to ensure Survicate solves real-world problems. When he's not refining messaging, he's collecting feedback (yes, using Survicate) to keep the product team in touch with what customers want next.
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