Signal & Noise

Skimle's resource centre dedicated to high quality analysis using modern methods

Cover Image for What is market research? Definition, types and examples

What is market research? Definition, types and examples

Market research is the systematic collection and analysis of information about markets, customers and competitors. This guide covers the main types, real-world examples, and how AI is opening new poss...

Cover Image for Building personas from real research data with AI: a practical guide

Building personas from real research data with AI: a practical guide

How to generate user or customer personas from real interview and survey data with AI, the persona types that exist, and how to avoid baking in bias from skewed input.

Cover Image for The Critical Incident Technique: a practical guide for UX and market research

The Critical Incident Technique: a practical guide for UX and market research

The Critical Incident Technique (CIT) asks for specific remembered events, not general opinions. What it is, how to run it, and how to analyse incidents at scale.

Cover Image for Patient experience qualitative analysis with AI: a guide for healthcare providers and health plans

Patient experience qualitative analysis with AI: a guide for healthcare providers and health plans

How to analyse patient and member free-text feedback at scale with AI, while handling health data anonymisation and care-touchpoint mapping properly.

Cover Image for Incident postmortem analysis with AI: finding themes across a year of retrospectives

Incident postmortem analysis with AI: finding themes across a year of retrospectives

How engineering leaders use AI to find recurring root-cause themes across dozens of incident postmortems, with traceability back to source.

Cover Image for Earnings call transcript analysis with AI: a guide for IR teams and analysts

Earnings call transcript analysis with AI: a guide for IR teams and analysts

How IR teams and analysts use AI for earnings call transcript analysis: management language, analyst Q&A themes, quarter-over-quarter shifts.

Cover Image for Qualitative MEL data analysis: a guide for NGO and international development teams

Qualitative MEL data analysis: a guide for NGO and international development teams

How Monitoring, Evaluation, and Learning (MEL) teams can analyse beneficiary interviews, FGDs, and MSC stories at scale, with donor traceability and native multi-language support.

Cover Image for FOIA document analysis with AI: finding the story in 10,000 pages of leaked or released records

FOIA document analysis with AI: finding the story in 10,000 pages of leaked or released records

How to analyse large FOIA releases and leaked documents with AI: find recurring themes and contradictions, and trace every claim to its source page.

Cover Image for Customer advisory board feedback synthesis: turning CAB notes into themes

Customer advisory board feedback synthesis: turning CAB notes into themes

How to synthesise customer advisory board feedback into recurring themes with full traceability, instead of relying on a manual spreadsheet nobody keeps updated.

Cover Image for Skip-level interview analysis: finding the themes in 40 sets of notes

Skip-level interview analysis: finding the themes in 40 sets of notes

How to analyse skip-level meeting notes at scale and tell a systemic problem from one person's complaint, with full traceability back to source.

Cover Image for AI for public comment analysis: a guide for government and policy teams

AI for public comment analysis: a guide for government and policy teams

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

Cover Image for How to do customer discovery: a practical guide to interviewing before you build

How to do customer discovery: a practical guide to interviewing before you build

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...

Cover Image for How to analyse stakeholder consultation responses: a guide for policy teams

How to analyse stakeholder consultation responses: a guide for policy teams

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...

Cover Image for How to run primary research in a consulting project: from scoping to synthesis

How to run primary research in a consulting project: from scoping to synthesis

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.

Cover Image for How to do thematic analysis in Excel: a step-by-step guide (and when to upgrade)

How to do thematic analysis in Excel: a step-by-step guide (and when to upgrade)

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.

Cover Image for Jobs-to-be-done interviews: how to run them and analyse what you find

Jobs-to-be-done interviews: how to run them and analyse what you find

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.

Cover Image for Voice of customer research: how to build a VoC programme that actually influences decisions

Voice of customer research: how to build a VoC programme that actually influences decisions

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.

Cover Image for Qualitative consumer insights research: a complete guide for market researchers 2026

Qualitative consumer insights research: a complete guide for market researchers 2026

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.

Cover Image for Focus group analysis: a complete guide

Focus group analysis: a complete guide

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

Cover Image for How to analyse customer interviews: a practical guide for market researchers

How to analyse customer interviews: a practical guide for market researchers

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

Cover Image for How to analyse employee survey open-ended responses

How to analyse employee survey open-ended responses

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.

Cover Image for Qualitative research for consultants: tools and workflow

Qualitative research for consultants: tools and workflow

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.

Cover Image for How to anonymise interview transcripts when conducting sensitive business interviews

How to anonymise interview transcripts when conducting sensitive business interviews

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

Cover Image for ChatGPT prompts for qualitative data analysis: what works, what doesn't

ChatGPT prompts for qualitative data analysis: what works, what doesn't

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