Signal & Noise blog

A practical pre-publication checklist for qualitative research that used AI tools — covering documentation, traceability, transparency, and peer reviewer expectations.

Most research repositories become graveyards. Here is how to design one that stays current, surfaces relevant insights, and earns a place in real workflows.

Step-by-step guide to writing up a thematic analysis: how to structure the methods, results and discussion sections, with worked examples and a final submission checklist.

How startups and scale-ups can run continuous customer research from discovery to churn using embedded AI interviews, without a dedicated research team.

Learn how to analyse employee survey results properly, from aggregate scores to open-text themes, and turn raw data into HR insights leadership will act on.

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.

Learn how to import customer feedback CSVs into Skimle, set metadata fields, and let AI surface hidden themes by product, time period, and more.

NPS verbatim analysis reveals what the score never can. Learn how to turn open-text NPS comments into themes you can actually act on.

Win-loss analysis only works when you treat interviews as structured data. Learn the methodology for systematic theme discovery across your whole deal set.

Annual engagement surveys produce scores, not understanding. AI interviewers now make it possible to gather rich qualitative insights from hundreds of employees at the cost and speed of a survey.

App Store review analysis at scale reveals version-specific complaints, regional trends, and sentiment shifts that reading individual reviews never could.

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.

Focus group transcript analysis requires a different approach to 1:1 interviews. Learn how to handle attribution, group dynamics, and dominant voices.

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

Turn your call transcript library into a structured qualitative dataset. A practical guide to call transcript analysis for product and research teams.

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!

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?

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.

AI-generated personas that answer surveys and interviews are becoming mainstream in market research. But can synthetic respondents replace real humans? Here's what works, what doesn't, and when to use...

During the past ten years, dashboards have unleashed a wave of self-serve quantitative analyses. LLMs are now enabling that for qualitative data. What will this mean in practice & how to benefit?

The dreaded open text answer box on the last page. Researchers fear the cumbersome data it will create, and respondents worry if anybody is listening. Is there a smart way to turn answers to insights?

Expert network calls cost 500 to 2500 EUR each. Most teams waste the investment. Learn how to treat expert network calls as structured qualitative data.

A well-crafted interview guide is the foundation of successful qualitative research. Learn how to structure questions, iterate as you learn, mix question types strategically, and use AI to test your g...

You're planning to do a series of interviews to gather information to solve a business problem, write an academic paper or perform due diligence. Many researchers and business people strugle to identi...