TMRE 2025 – From Support to Strategy: Building an Insights Function Leaders Can’t Ignore
What does it take to build an insights function that leaders can’t ignore? In this session, Jeff Dahms of Physicians Mutual shares how he transformed research from a “nice-to-have” into a critical business driver—embedding insights into go-to-market plans, creating continuous customer feedback loops, and building organizational confidence in decision-making.
Why Qual Researchers Still Choose Between Depth and Scale, and Why They Don’t Have To
For years, qualitative research has lived with an uncomfortable tension. Teams either invest in deep one-to-one conversations that reveal the nuance behind human decisions, or they turn to high-volume methods that reach more people but flatten the richness of what they learn. Most organizations still treat this as a permanent constraint. You get depth, or you get […]
Rethinking Qual: AI That Listens, Sees, and Probes
In this webinar, we explore the emergence of perceptive AI: technology that not only hears responses, but also sees facial cues, reacts to behavior, and probes like a skilled moderator.
Beyond Prompts: Why Proven Methods Still Matter in the Age of AI
The rise of generative AI has created a wave of excitement and uncertainty in the world of research. With tools like ChatGPT enabling anyone to generate content or analysis with a few keystrokes, the temptation is clear: why follow a research methodology when you can simply ask an AI for answers? But here’s the truth: in enterprise research, proven methods are absolutely […]
The AI Integration Blueprint for Enterprise Insights Teams
This playbook outlines a practical blueprint for integrating AI into your insights operations. Each chapter addresses a key phase in that journey – from assessing your infrastructure to piloting, governing, and scaling AI-enabled research.
Hallucinations in AI: Why Research Leaders Need to Prioritize Trust
As we all know by now, artificial intelligence is changing the way insight teams operate. From automating qualitative analysis to accelerating reporting, large language models (LLMs) are reshaping workflows quickly. But AI doesn’t always get it right. Sometimes it makes things up. These “hallucinations” are not something to ignore. They turn into systemic risks that can erode credibility and derail decision-making. When AI Guesses, […]
Transforming Research Storytelling: Fuel Cycle Launches AI Presentation Designer
New Autonomous Insights capability transforms raw data into polished, branded decks Los Angeles, CA — [September 24th, 2025] — Fuel Cycle, the leader in AI-native research technology, today announced the launch of Presentation Designer, a capability within its Autonomous Insights platform that streamlines the creation of research reports and presentations. By eliminating the production bottlenecks […]
The State of Hallucinations in AI-Driven Insights
The rise of large language models (LLMs) is transforming how research teams generate insights. But with that transformation comes a foundational risk: hallucinations – when AI outputs sound accurate but are actually fabricated, misleading, or unverified. This white paper explores: The goal is not to reject AI, but to embed it responsibly. As enterprises move […]
Beyond ChatGPT: Why Research Needs Purpose-Built AI
The rapid rise of general-purpose AI tools like ChatGPT has transformed how businesses explore information, ideate, and communicate. These tools are fast, flexible, and convenient. But for high-stakes, enterprise-grade research? They fall short. When the goal is to inform product launches, guide strategy, or support C-level decision-making, surface-level AI outputs simply aren’t good enough. You […]
Enterprise-Grade Personalization in AI Research
The conversation around AI in research has been dominated by speed. The promise is compelling: move from business question to actionable insight in minutes instead of weeks. But for enterprise research teams, speed alone is not the benchmark for success. Quality, consistency, and strategic alignment matter just as much, and often more. That’s where enterprise-grade […]