aytm reflects on the innovation funnel, recognising that early-stage testing gives teams a structural advantage over late-stage validation.

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.

Yazi compared how 5 AI Assistants analysed and reported qual and quant market research data. The results showed wide variance in performance.

Paul Albert of Revamp Revenue Consulting shares five questions insight teams should ask research tech vendors to separate real value from generic sales pitches.

AI can help corporate insights teams cut grunt work, unlock hidden knowledge, and give researchers more time for strategy and impact.

Charles Allison, Research Lead at Conveo, finds legacy distinctions between qual and quant less and less helpful for modern insights work.