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

참고: Signal & Noise 글에는 AI 도구로 작성, 편집 또는 번역한 텍스트, 동영상, 이미지가 포함될 수 있습니다.

Skimle로 데이터를 더 깊이 파고드십시오

Skimle은 인터뷰, 설문 응답, 보고서 등 질적 데이터를 자동으로 수집, 분석, 분류합니다. 현대적인 질적 분석 소프트웨어로서 엄밀하고 투명한 워크플로와 AI의 속도를 결합합니다.

텍스트나 오디오를 업로드하고, Skimle Anonymise로 민감한 데이터를 제거하고, 카테고리와 하위 카테고리를 자동으로 만들고, 문서 전반의 데이터를 탐색하고, 워크플로에 매끄럽게 맞도록 데이터를 내보내십시오. 전문가가 전문가를 위해 만들었으며, 완전한 개인정보 보호와 GDPR 준수를 갖췄습니다.

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