Signal & Noise
Skimle's resource centre dedicated to high quality analysis using modern methods
What if? Reanalyzing our Qualitative Study with Skimle AI
To get a real sense of what AI can and cannot do, the best approach is to reanalyse a dataset you know. In this blog we reanalyse our qualitative study published in Organization Science with Skimle AI...
How to win with AI in 2026: pointers for senior executives
The AI landscape is constantly evolving. Here's what CEOs and senior executives need to focus on in 2026 to prepare their organisations for the years ahead.
How to Use AI in Qualitative Research - A Guide for Academic Researchers 2026
Reflections on the use of AI tools for qualitative interview analysis in academic research. This comprehensive guide covers coding, thematic analysis, GDPR compliance, ethical AI use, and how to avoid...
Skimlecast: Episodes 2 to 5 are out!
We've been busy recording Skimecast, and have published four new episodes in December 2025. In these episode we share why we built Skimle, discuss how to run qualitative interviews, reveal our secret ...
Using ChatGPT and other LLMs to analyse interviews and qualitative data - what works and what doesn't
Simple LLM tools like ChatGPT, Gemini, Claude, Grok or Copilot seem like the perfect solution for qualitative analysis: fast, easy, and impressive in demos. But practical experience and research revea...
Skimlecast 1: Welcome to Skimlecast
Get to know Henri and Olli from Skimle in our inaugral episode of Skimlecast. In this series we discuss high quality thematic analysis, articial intelligence, knowledge work while making low-quality F...
Two-way transparency: creating confidence in AI to make it useful for real work
When using AI solutions for advanced analytical work, experts need to be able to trust the systems. In this blog we explain the concept of two-way transparency as a key enabler for trust.
Quality as the differentiator in the era of AI
AI can produce slop at amazing speeds - but nobody gets value from it. We argue that in the era of AI, developing your own sense of quality and striving for it pays off more than ever.