James Wycherley, CEO at the IMA, outlines why insight leaders need a structured playbook and shares a practical 9P framework for team transformation.
Developing Your Insight Leader’s Playbook: The 9P Framework You Need to Include Read More »
Codeit unpacks why building verbatim coding tools in-house is a costly risk, and how battle-tested SaaS keeps teams focused on their core business.
Why Most In-House AI Tools Fail and What To Do Instead Read More »
Innovation Intelligence from aytm: discover how to design research around the intention-behaviour gap for more accurate product usage and volume forecasts.
The Intention-Behaviour Gap And How To Measure Around It Read More »
Quillit explains why traceability, evidence-linked quotes, and governance are essential for AI-assisted qualitative reporting.
The Top-Line Report is No Longer a Document, It’s an Interface Read More »
Innovation Intelligence from aytm: see how testing in context gives you a true read on how your concept will perform before launch.
Testing In Context, Where The Real Decision Happens Read More »
Innovation Intelligence from aytm: discover how choice-based conjoint analysis reveals the features that drive buying decisions and justify price premiums.
How Conjoint Shows You Which Features Drive Choice and What People Will Pay Read More »
Glaut outlines the critical need for AI auditability in research analysis, arguing that defensible systems must be inspectable by default.
“Show Me How You Know”: Why Auditability Is the Real Test for AI in Analysis Read More »
Innovation Intelligence from aytm: learn how to optimise early vs late stage concept testing in your innovation funnel.
Early vs Late: Why Concept Testing Isn’t One Thing Read More »
aytm reflects on the innovation funnel, recognising that early-stage testing gives teams a structural advantage over late-stage validation.
The Innovation Funnel Starts Earlier Than You Think Read More »
Glaut explains how AI analysis tools can be great for operational tasks, but the real value and impact lies in the judgement of expert researchers.
The Grunt Work Was Never the Job: What AI Should and Shouldn’t Touch in Analysis Read More »
Yazi compared how 5 AI Assistants analysed and reported qual and quant market research data. The results showed wide variance in performance.
Which AI is Actually Best for Market Research? Read More »
Paul Albert of Revamp Revenue Consulting shares five questions insight teams should ask research tech vendors to separate real value from generic sales pitches.
Five Questions Every Head of Insights Should Ask in a Research Tech Pitch Read More »