Skimlecast is back: Episodes 6 to 8

This time we went into a professional podcast studio and spent some quality time discussing how Skimle works, our learnings from start-up life, and the big 'Is AI good or bad?'-debate

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Episode 6: How does Skimle work?

In our sixth episode we finally get audio right by moving to a professional podcast studio! We take a behind the scenes peek to how our product actually works and how it is used by our various customers.'

You might want to read How Skimle works to get a deeper sense of the approach, take a look at our Signal & Noise article on why RAGs dont work for analysis, or explore the topic of two-way transparency and why it's critical for real work.

Episode 7: Start-up life and learnings

In this episode we discuss how the first few months of Skimle have been, how being in a startup differs from academic and corporate life, what gives us energy and what drains us. Henri also discovers a sound effect button in the fancy studio setup and Olli bullishly compares Skimle to the printing press.

We also have a page dedicated on the Skimle team and origin story if you want to dig deeper.

Episode 8: Is AI the end of the world or the best thing ever?

In this episode we discuss the great AI debate - is it something to avoid like the plague, or something great changing humanity for the better in all aspects? Or maybe something in between?

We've also written about the questions of is AI destroying our ability to think, how business executives should think about AI in 2026, and how to use AI in qualitative research on Signal & Noise.

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

Nota: os artigos da Signal & Noise podem conter textos, vídeos e imagens criados, editados ou traduzidos com ferramentas de IA.

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