InsightGig: The Operating Layer for Insights

InsightGig: The Operating Layer for Insights

From Fragmented Insights to Continuous Intelligence: As the first AI Operating Layer for insight teams,  InsightGig turns disconnected data, static reports, and siloed tools into continuous, integrated intelligence. This is why we built it. This is the first article in our series on the Operating Layer. Read the others here: Why do Insight Teams need […]

Why do Insight Teams need an Operating Layer Now?

Why do Insight Teams need an Operating Layer Now?

This is the second article in our series on the Operating Layer. Read the others here: InsightGig: The Operating Layer for Insights Operating Layer vs. Platform vs. Tool Today, for the first time, we’re genuinely positioned at the threshold of a transformative shift in how consumer insights can inform business decisions. Historically, despite organizations’ best […]

Operating Layer vs. Platform vs. Tool

Operating Layer vs. Platform vs. Tool

This is the third article in our series on the Operating Layer. Read the others here: InsightGig: The Operating Layer for Insights Why do Insight Teams need an Operating Layer Now? What’s the Real Difference? To maximize the value from your technology investments, it’s critical to understand what exactly InsightGig, the Operating Layer for AI-led […]

AI Is Here. Is Your Insight Practice Ready?

AI is already being used across research workflows often in small, scattered ways. But real scale will come when your team is using AI with clarity, consistency, and quality and whether your systems can support that use at scale. These six markers will help you assess if your insight practice is truly ready to work […]

Human in the Loop: Getting AI Right in Qualitative Research

Most teams adding AI to qualitative work worry specifically about three critical areas of failure: undefined roles, false confidence, untraceable claims.  We don’t see them as purely model problems; they’re in fact operating-model problems. Clearly defining the “Human in the loop” within the Qualitative process when adding AI fixes this by making the division of […]

Embrace the AI Pain: Why Real Transformation Hurts (and Why It’s Worth It)

Key Takeaways AI transformation is not just about tools — it’s about systems The “messy middle” of actually integrating AI is where most teams struggle AI adoption feels like regression before progress The true value comes from revisiting and clarifying work Success comes to teams who expect the pain — and work through it We […]