Signal & Noise blog
Skimle's blog dedicated to high quality analysis using modern methods
Thematic analysis: complete guide to methods, steps and applications
Thematic analysis explained — the six steps, inductive vs deductive coding, sample size guidance, AI-assisted approaches, and applications across academic and business research.
How to do thematic analysis - A practical step-by-step guide for business people
Learn how to analyse reports, interviews and other qualitative data by borrowing the best bits of academic thematic analysis methods. This practical guide shows you how to find patterns in customer in...
How to summarise interviews - 5 steps from expert call notes to client-ready insights
A practical guide to synthesizing expert, client or customer interviews for consultants and analysts. Learn how to extract key insights, identify themes, and create client-ready deliverables from inte...
How to analyse interview transcripts: 5 steps from raw data to insights
5 steps to analyse interview transcripts: from first read to final themes. Covers manual coding, AI-assisted analysis, and how to maintain rigour throughout.
Effective business interviews - Tips and tricks from a former McKinsey Partner
Before founding Skimle I was a Partner at McKinsey and did more than 1000 interviews. Here I share my interview guide and top tips.
Board meeting preparation - how to come prepared for the big meeting
Board meetings, official hearings, executive reviews. They all share one thing: hundreds of pages of pre-read materials and little time to digest them before the important moment. Here is what I have ...
Why ‘RAGs to riches doesn’t work’ - structuring data instead of dumping embeddings
Developers are starting to realise that even after optimising embeddings, chunking logic, reranking and models, RAG (Retrieval-Augmented-Generation) falls short in many real world applications