Signal & Noise
Skimle's resource center dedicated to high quality analysis using modern methods
How to find themes across a large set of interviews: a practical guide
Got 40 interview transcripts and need to find the patterns? This step-by-step guide walks through the complete analysis workflow: from transcript preparation to synthesised themes you can actually pre...
Turning interview notes into insights at scale: collaboration, repositories and shared process
How consulting and research teams set up shared Skimle projects where multiple researchers can upload transcripts, code data consistently, and synthesise findings together. Includes a framework for is...
Skimle Ask: the simple way to do "qual at scale"
Skimle Ask is a simple AI interviewer for quick polls, like Doodle for opinions or Google Forms for data. Qual at scale: how to launch one and analyse results.
Skimle's Agentic Chat and MCP: how humans and agents can collaborate in qualitative research
Skimle's Agentic Chat lets researchers and AI agents work side by side on structured project data, with full source traceability and human control throughout.
Step-by-step guide to agentic analysis workflows with agentic chat and MCP
A complete walkthrough of using Skimle's Agentic Chat and MCP connections. Work together with smart agents to structure, analyse and visualise qualitative data. A practical approach to step to the fut...
Transcribing audio interviews and videos with Skimle
Upload audio or video to Skimle, select the language, and get an accurate transcript in minutes — with automatic speaker identification and GDPR-compliant EU hosting.
How to do thematic analysis with AI: a practical guide for 2026
A methodologically grounded guide to AI-assisted thematic analysis: where AI accelerates the process, where it can't replace researcher judgement, and how to do it rigorously.
Analysing customer feedback with Skimle: digging deeper into what customers are telling you
Learn how to import customer feedback CSVs into Skimle, set metadata fields, and let AI surface hidden themes by product, time period, and more.
Manual coding and REFI-QDA export - combining Skimle's AI analysis with manual workflows
How to use Skimle's manual editing tools to refine AI-generated codes, and how to export your full coding scheme to NVivo, MAXQDA, or ATLAS.ti via REFI-QDA.
Discovering themes in the data using metadata variables - advanced analysis with Skimle
In this article we explain how to discover patterns in the data using Skimle's metadata features. Analyse differences in responses by time period, gender, type of organisation or any other variable
End-to-end workflows - Importing and exporting data with Skimle
We're big believers in building a tool that integrates with the day to day work of knowledge professionals. In this post we explain what is possible with Skimle and what is coming next!
Analysing interviews and other documents in multiple languages with Skimle
You interviewed people in French, German, English and Swedish, and need to analyse also some Finnish text and Spanish emails as well. How to cope with multiple languages?
Practical end-to-end setup for interviews using audio recording, transcription and AI-assisted analysis
A step-by-step guide to recording, transcribing, and analysing interviews efficiently using your iPhone, cloud storage, and AI tools. Stop taking frantic notes and start capturing better insights.