Signal & Noise

What is Skimle? An AI qualitative data analysis platform for interviews, surveys and documents. Watch the new product film and explore all 15 features.

Watch Henri Schildt's New Scholars webinar on using AI in qualitative research responsibly: hallucinations, transparency, counter-evidence and agentic AI.

Our working perspective on how AI helps across the research lifecycle in large-scale qualitative analysis, especially as the field shifts from episodic to continuous research.

Would you trust a calculator's number for a €1 billion decision with no visible workings... or use real tools? We think qualitative analysis deserves the same rigour as a quantitative.

Every AI research tool claims a human stays in control. Most of what that means in practice is an accept button. Here's what real control actually requires.

The critiques of AI in qualitative research are serious and worth noting. Here are is our synthesis of 9 design criteria a tool must meet to deserve a place in rigorous research.

Skimlecast episode 4 is live. Why we are not afraid of frontier AI models, the engine-and-car analogy, and why transparency and control matter in analysis.

If we want AI to augment expert researchers instead of automating them out of the loop, we need shared design principles. This post lays out three core criteria — predictability, two-way transparency,...

I fed 650 randomly labelled customer comments to a basic AI tool. It confidently found cultural differences that did not exist. The risks of using AI tools wrong are real.

LLMs can now process meaning, not just count words. This changes qualitative research fundamentally — not by making experts redundant, but by making expertise matter more.

Season 2 of Skimlecast is live. Three new episodes cover the origin of Skimle, using AI in academic research, and where knowledge work is heading.

The three biggest problems with using AI for qualitative analysis — hallucinations, context window limits, and black-box outputs — and how Skimle's architecture solves each.

How Skimle's three-phase insight assessment combines embedding similarity, LLM quality checks, and source verification to surface the most relevant findings.

Skimle now supports the Model Context Protocol, letting Claude, Cursor, Windsurf and other AI tools read and write your structured qualitative project data.

Skimle Anonymise lets you pseudonymise, anonymise, and de-identify qualitative transcripts with AI-powered detection, audit trails, and GDPR/HIPAA compliance.

Episode 11 shows how Skimle handles customer research and feedback. Episode 12 explores agentic AI and Skimle's new AI chat that can access and edit your data.

CIO.com argues that AI will end three decades of stagnation in office software. Skimle co-founder Olli Salo is quoted on what that means for knowledge work.

Episode 9 digs into manual coding and REFI-QDA export for academic researchers. Episode 10 introduces Skimle Ask, our AI interviewing tool for HR and beyond.

Skimle Ask is an AI interviewer that lets anyone collect rich qualitative insights at survey scale. Set up in minutes, share a link, get real answers — not just scores.

SaaS valuations are crashing and commentators are calling it the 'SaaSpocalypse'. We think the story is more nuanced - and for well-designed software built on genuine domain knowledge, this moment is ...

AI can help in analysis, but the rush to replace rigorous methods with wrong tools risks more harm than good. One head of AI remarked 'big AI' is trying to sell the same tool for all use cases.

Most people have serious misconceptions about how ChatGPT and other AI systems work. Understanding what's actually happening under the hood helps you use these tools better and avoid their biggest pit...

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

Copy a question and paste it to a chat bot, press enter and mindlessly copy the answer back... Will poor use of AI reduce rigour of qualitative analysis and make us dumber?