With AI, the role of market researchers is shifting. Instead of focusing only on delivering studies, they must now own how research runs.
InsightGig: The Operating Layer for Insights
Learn what an Operating Layer for Insights is and how it helps insight teams and independent researchers adopt AI safely and confidently.
Why do Insight Teams need an Operating Layer Now?
Learn why insight teams need an Operating Layer right now to embrace genuine AI integration and intelligently orchestrated workflows.
Operating Layer vs. Platform vs. Tool
Understand the difference between an Operating Layer and other research technology tools and platforms.
AI Is Here. Is Your Insight Practice Ready?
Is your insight practice is truly ready to work with AI? Find out what you need to do to get there. Read about it in our latest blog.
Human in the Loop: Getting AI Right in Qualitative Research
Our Human-in-the-Loop approach is simple: AI for repetitive tasks; Humans for insights; and evidence for every claim. Read our POV.
Embrace the AI Pain: Why Real Transformation Hurts (and Why It’s Worth It)
Discover why scaling AI across enterprise workflows is painful but necessary. Learn how insight teams can navigate the messy middle of AI transformation and extract real business value.
AI for Research: When GPT Isn’t Enough
Learn why Insight Debt persists and how insight teams can build a research function that moves fast, stays relevant, and drives real impact.
Insight Debt: The Hidden Cost in Market Research
Learn what Insight Debt is and how to fix it before it impacts your research practice.
Why Insight Debt Persists—and How to Actually Reduce It
Learn why Insight Debt persists and how insight teams can build a research function that moves fast, stays relevant, and drives real impact.