Signal & Noise

A vendor-neutral evaluation framework for qualitative analysis software: 7 scoring domains, the questions to ask, a pilot protocol, and the procurement annex.

Eight small research projects a customer insights team can run in days, using data you already have or can collect quickly, and publish as thought leadership.

Responsible AI in qualitative market research: 7 rules covering where AI helps, why synthetic respondents fail, and what human-in-the-loop really requires.

A line-by-line cost model for a qualitative study: recruitment, incentives, moderation, transcription and analysis, with 2026 rates and a worked example.

Interviews, NPS, tickets and sales calls rarely add up. How to run one stable category structure across all 8 customer feedback channels you collect.

Product managers run customer interviews but rarely analyse them well. Here's a practical guide to turning qualitative research into clear product decisions.

Most AI data analysis guides focus on numbers. But 80-90% of organisational data is unstructured text. This guide covers how AI handles both, with a decision table and practical workflow.

AI document analysis tools range from single-PDF chatbots to systematic multi-document analysis. Learn which tier fits your use case and when chat-with-your-PDF breaks down.

A practical guide to getting real insight from open-text engagement survey responses: coding frameworks, subgroup analysis, and presenting findings to leadership.

A practical guide to analysing customer interviews at scale: coding strategy, synthesis across 30–100+ interviews, segment analysis, and QA for AI-assisted analysis.

A practical guide to NPS verbatim analysis at scale: coding frameworks, segment differences, closing the loop, and tools for analysing 500+ NPS open-text comments.

How PE and VC deal teams run and analyse qualitative primary research in CDD, from expert calls to customer references, on tight deal timelines.

A practical guide to B2B VoC programmes: the four data sources, running customer interviews, synthesising across sources, and turning insights into decisions.

A bank of 40+ win-loss interview questions organised by topic, plus a guide to structuring 30-minute calls, handling off-script moments, and coding responses consistently.

Expert call synthesis done well turns 20 scattered call notes into structured, defensible findings. This step-by-step guide covers coding, divergence analysis, and deliverable writing.

Customer sentiment analysis turns unstructured feedback (interviews, reviews, support tickets, open-text surveys) into actionable insight. Here's how to move beyond positive/negative scores to real un...

Most product feedback analysis produces feature request buckets. This guide shows how to go deeper: uncovering the mental models, workarounds and unmet needs that actually drive product decisions.

Every qualitative study faces the same constraint: too little time and money for how much you want to learn. Here's how to allocate your research budget across 5 phases, and how AI is reshaping the eq...

Voice-of-market research combines multiple data sources (reviews, Glassdoor, expert interviews, customer feedback) into a single coherent picture of market perception. Here's how to do it.

How consultants can move from raw interview notes to a credible, evidence-based synthesis. Covers note-taking for later coding, issue tree thinking, thematic consolidation, and presenting qualitative ...

Strategy decisions are only as good as the evidence behind them. This guide shows consultants and strategy teams how to collect, structure and synthesise unstructured data into sharp strategic conclus...

How consultants can systematically analyse large volumes of qualitative data beyond interviews: industry reports, earnings calls, regulatory filings, expert papers, and customer documents. Covers work...

Exit interviews are most valuable when they go beyond the obvious. This guide covers the best questions to ask, how to structure the conversation, and how to synthesise findings across many interviews...

Bottom-up manual coding takes weeks. Top-down theme assignment is prone to bias. AI-assisted analysis offers a third path: the speed of automation with the rigour of systematic coding. Here's how it w...