Episode 2: What is Skimle and why did we build it?
Here is the second episode of Skimlecast! Olli and Henri discuss why generic AI tools don't cut it for structured analysis of interviews or documents. We share why we built Skimle and how we think about high quality qualitative analysis, and reveal how clueless we are when it comes to modern marketing.
Episode 3: Best practices for conducting interviews
Olli and Henri discuss their learnings on doing interviews, from sampling and preparation to getting the most out of informants. The third episode contains some poor humour but luckily also lots of great tips and trick on how to prepare for and conduct effective interviews. If you want to go deeper to the topic, we've written extensively on interviewing in our Signal & Noise blog, e.g., on interview guide preparation, on conducting effective business interviews and analysing interview transcripts.
Episode 4: Christmas special & secret plans for Q1/2026
In this episode full of merriment, Henri and Olli meet in Skimle Shed with snow falling outside. They address the first listener question and reveal their Christmas plans and Skimle roadmap for the first quarter of 2026.
Episode 5: Four key steps in academic qualitative research
We discuss how you move from well conducted interviews (Episode 3, above) into great theory when doing qualitative analysis in an academic setting. Henri shares his learnings on conducting interview-based research in academic context and Olli comments on similarities and differences to interview-based data gathering he did as a consultant.
About Skimle and Skimlecast
Read more about Skimlecast and watch Episode 1 here! You can watch all our episodes on our Spotify or YouTube channels. If you have any comments, feedback, topics you would want us to cover or other things you want to share, please connect with us through our form or via email through olli@skimle.com.
If you are interested in using Skimle, check out this page on how Skimle works. You can also try Skimle for free and experience how AI-assisted thematic analysis can help you handle larger datasets while maintaining academic rigour and generating deeper insights.
Meet the cast
Henri Schildt is a Professor of Strategy at Aalto University School of Business and co-founder of Skimle. He has published more than a dozen peer-reviewed articles using qualitative methods, including work in Academy of Management Journal, Organization Science, and Strategic Management Journal. His research focuses on organisational strategy, innovation, and qualitative methodology. Google Scholar profile
Olli Salo is a former Partner at McKinsey & Company where he spent 18 years helping clients understand the markets and themselves, develop winning strategies and improve their operating models. He has done over 1000 client interviews and published over 10 articles on McKinsey.com and beyond. LinkedIn profile
