The Human-AI Research Workflow: Where Technology Helps and Human Expertise Matters
aytm shows where AI speeds research workflows, human judgment still matters, and how to scale trustworthy insights across your organization.
aytm shows where AI speeds research workflows, human judgment still matters, and how to scale trustworthy insights across your organization.
The Corporate Research & Insights Summit: an exclusive one-day event for client-side researchers & insights professionals. London, Sept 2026.
How qualitative research design is evolving through digital platforms, hybrid methodologies, and AI-supported planning.
How live qualitative research fits into today’s toolkit and how platform-based video has evolved in modern research practice.
How researchers capture real-world experiences in the moment, reducing reliance on recall and improving data quality.
Why asynchronous engagement has become central to modern qualitative research and how it enables deeper, more flexible insight over time.
How to create and run a successful long-term insight community that becomes an ongoing sounding board for the business.
How qualitative research design is evolving through digital platforms, hybrid methodologies, and AI-supported planning.
The Qualitative Insights Summit: free online conference with the latest ideas, methods and tools for qualitative market research & insights.
Macie Shewmaker reframes AI in qualitative research, turning replacement fears and limits into a source of partnership, not friction.
Mariia-Malika Bahnenko & Anna Yanko from YouScan demo Synthetic Audiences, built from real social data, to test messages and surface insights.
Tim Treagus from Yazi tests provocative AI interviewer personas, showing when challenging respondents gets more honest, useful research data.
Taryn Needham and Dan Young from Boxclever help insight professionals build trust, judgment and strategic value as advisors in the age of AI.
Laura Pulito from Recollective, offers a playbook for choosing AI-moderated interviews wisely and protecting research quality at scale.
Sharath Subrahmanya from Google Cloud shows how multimodal AI syncs audio, text and screen video for sharper contact centre QA insights.
Tom Woodnutt of Feeling Mutual uses a forest ecosystem to reframe AI and qualitative research as a relationship, not a threat or a tool.
Enric Cid and Melissa Short share candid WhatsApp study on what AI moderation got right, where it failed, and what it means for research platforms.
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.
Mpho Mpofu from Masutane on why AI misreads African consumers — a provenance test and framework for documenting unwritten methods.
Alessia Clusini & Martina Faralli (Trybes) on adding a cultural layer to qual research — a framework to discover, understand & decide.
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.