In this webcast, Henri Schildt, professor of strategy at Aalto University and co-founder of Skimle, makes the case for using AI to augment the expert rather than replace them. He traces how AI use has moved from "AI slop" to power users to genuine super-experts, addresses the real fear of losing our craft, and argues that knowledge work is not a purely cognitive task but a social activity built around shared objects and artifacts. He then shows three concrete ways any researcher can start benefiting from Skimle today.
What you'll learn:
- Why AI is such a controversial topic in qualitative research, and the difference between using it to augment experts versus automate them away
- The design principles behind Skimle including: transparency, predictability, effortless control, and versatility, and why they matter for avoiding cognitive offloading
- How to take stock of your data quickly with automatic thematic analysis, transcription, and document summaries
- How to dig deeper into your key themes using predefined categories or agentic analysis, cross-tabulations, metadata patterns, and tags
- How to build a compelling, defensible story, including counter-evidence
Who this is for: Qualitative researchers and academics who want to use AI thoughtfully without losing rigour or control over their analysis.