Events

Jon & Saul Cohen from Kindling ask: can AI understand emotion? Where sentiment analysis fails, and what's next for emotional measurement.

Adrian Sansone, from DOCREPLAY.ai, says AI fixed speed and scale in qual research, but the real challenge left unsolved is insight drift.

Betsy Shaak from Voxpopme, on making Consumer Connects stick at scale — lessons from a Fortune 50 program logging 27,000 hours of consumer contact.

Mpho Mpofu from Masutane on why AI misreads African consumers — a provenance test and framework for documenting unwritten methods.

Julian Cole of Qualzy shares three real-world examples of what AI can and can’t do in qualitative research, and where people still matter.

Alessia Clusini & Martina Faralli (Trybes) on adding a cultural layer to qual research — a framework to discover, understand & decide.

Simon Shaw & Kenny Fox reclaim qual's purpose — the unique value of human-to-human research vs "qual at scale" data collection tools.

Kai K. Fuentes from EMS shows how distilling questions to a Less Is More strategy lifts participation and insight from harder-to-reach groups.

Eric Knoben & Samara Sargeant from Listen Labs, on where AI-moderated interviews fit vs human qual, and how digital twins extend insights.

Sheena Yap Chan on why fast qual research needs human readiness — the VISIBLE™ Framework to boost stakeholder trust, storytelling & adoption.

Joshua LaMar from Amplinate on AI's cracked mirror in research: The Three Mirrors framework for a hybrid qual model balancing AI speed with human judgement.

Samantha Loggenberg from Insights Edge, on AI in African qual research: a "bothism" approach to removing friction while protecting real human proximity.

Nichola Quail on why AI defaults to Western norms — and how a human intelligence layer brings cultural sovereignty to AI research.

Jeremy Cochran from Burke asks: are AI-moderated interviews really qual research? Why they're a qual-quant hybrid needing human oversight to work.