Are You Building Your AI Moderation Program Around the Wrong Question?
Most insights teams approaching AI moderation are trying to answer the same question: is it as good as a human moderator? It’s the wrong question – and the fact that it still dominates the conversation is costing teams time they don’t have. The teams that are furthest ahead have already moved on. They’re not asking whether AI moderation matches human quality. They’re asking something more useful: which layer of […]
DIY or Full Serivce? An Interactive Checklist
Answer 7 quick questions — we’ll tell you which Fuel Cycle model is right for your team, and how we’d support you along the way.
From Patient Voices to Strategic Decisions: Mass General Brigham & Fuel Cycle
Learn how a lean team built an always-on patient research community that drives real organizational decisions across a large and complex system.
What If Your Reliance on Surveys Is a Logistics Problem, Not a Research Decision?
Most insights teams don’t choose surveys because they’re the best tool for the question. They choose them because surveys are the only method that scales. That distinction matters — and AI is starting to close the gap that made it true. Qual didn’t lose to surveys on merit — it lost on scale Qualitative research has always produced richer insight than […]
AI in Market Research: What 102 Job Postings Reveal
We reviewed every market research and consumer insights role posted on MRX Jobs in March 2026. Here’s what the data actually says about AI.
What Is a Methodology-First Survey Builder? How Fuel Cycle Automates Survey Design
Fuel Cycle’s Survey Builder is an AI-powered tool that starts with your research objective, not a blank form. It selects the appropriate methodology, designs the full survey, and builds in display and termination logic automatically. The result is a deploy-ready survey for Alchemer, Qualtrics, or SurveyJS, without manual programming. Most survey tools treat design as a formatting problem. They hand you […]
The Full Qual Research Loop: 2 New Features
The qual research loop has two logistics problems that take more time than they should – but not anymore. The first is getting everyone into the right session. Coordinating moderators, participants, and observers across time zones means a chain of calendar invites, confirmation emails, and follow-up reminders — before a single question is asked. The […]
Quirk’s Dallas 2026 – How Sharpie at Newell Brands is Future-Proofing Insights with Community
Sample quality is shaky. Budgets are shrinking. Teams are leaner than ever. And AI feels like it’s circling. In this candid and energetic session, Amanda Parker from Sharpie shares how she turned industry pressure into opportunity by building and activating a consumer community through Fuel Cycle that drives speed, efficiency and real impact. Because we’re […]
5 High-Impact Use Cases for AI-Powered Customer Communities
AI-powered customer communities enable more than ongoing engagement. With AI-native architecture embedded into research workflows, communities become operational systems for continuous insight generation . Here are five high-impact use cases where we see enterprise teams applying AI-powered communities today! 1. Validating New Concepts Before Market Entry Use Case: A product or innovation team needs to assess demand for a new feature, service line, […]
The Myth of Continuous Research Without Continuous Infrastructure
Continuous research has become a common ambition for organizations trying to operate closer to their customers. The objective is straightforward: maintain ongoing feedback, validate decisions quickly, and reduce uncertainty by staying connected to real people. What often gets overlooked is the structural requirement behind that ambition. Many organizations pursue continuous research using infrastructure designed for episodic work. Over time, that mismatch limits what […]