Signal & Noise

AI for public comment analysis helps agencies in the US, EU, and elsewhere triage and code thousands of regulatory submissions with full traceability.

Customer discovery interviews reveal whether the problem you're solving is real and who it matters to most. Learn how to find participants, run interviews, and turn findings into confident product dec...

Analysing hundreds of written consultation responses requires systematic coding, metadata by respondent type, and clear audit trails. This guide covers the full workflow for public and regulatory cons...

A practical guide to consulting primary research: scoping the right questions, designing the interview guide, managing fieldwork, and synthesising 20+ interviews into a clear recommendation.

Step-by-step guide to doing thematic analysis in Excel — spreadsheet setup, colour coding, and pivot tables for qualitative data. Plus when Excel stops working and what to use instead.

JTBD research reveals why customers hire or fire products by exploring the progress they're trying to make. Learn the Switch interview structure, how to code JTBD data, and how to act on the findings.

Voice of the customer (VoC) research explained: what it is, the main methods and metrics, a 6-step programme, and how to analyse qualitative VoC feedback at scale.

How to plan, conduct, and analyse qualitative consumer insights research — from depth interviews and focus groups to synthesis and stakeholder presentation. Includes tool recommendations for 2026.

How to analyse focus group data — from transcribing sessions to coding group dynamics, comparing across groups, and writing up. Includes a worked example.

A step-by-step guide to analysing customer interviews — from coding themes to synthesising insights — with practical examples for market researchers.

A step-by-step guide to analysing employee survey open-ended responses: from preparing and anonymising data to coding themes, segmenting findings, and presenting results.

Qualitative research for consultants operates under constraints that academic methods were never designed for. This guide covers tools, workflow, and best practices for consulting timelines.

How to pracrically anonymise interview transcripts in a business setting: replace identifiers, pseudonymise roles, and meet compliance requirements with Skimle Anonymise.

Practical ChatGPT prompts for qualitative data analysis — plus a clear-eyed account of where general-purpose AI falls short for rigorous qualitative work.

How to make qualitative research findings land with sceptical executives: structuring findings, using frequency language, and building the credibility trail that numbers-first audiences need.

A practical guide to user research synthesis: how to move from raw interview transcripts to structured findings and a stakeholder-ready narrative.

A practical guide to analysing 360-degree feedback: how to extract development priorities from qualitative comments and avoid the pitfalls of generic reports.

A practical guide to exit interview analysis: how to collect, code, and synthesise departure data to identify real attrition drivers and act on them.

How to extract competitive intelligence from customer interviews, NPS verbatims, and win-loss calls — and analyse it systematically with thematic analysis.

How AI is changing the synthesis of expert calls and customer reference interviews in commercial due diligence — and what it means for deal teams in practice.

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

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.

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