Ideas & analysis
Synthetic Data vs. Real Respondents: When to Use Which (and When to Use Both)
The battle between synthetic and real isn't about choosing a side. It's about designing the smartest research architecture for your specific question.
Updates from MX8 Labs
Guides
How to QA Your Survey Using Claude or ChatGPT
Export your respondent transcripts as Markdown, hand them to Claude or ChatGPT, and find survey issues in minutes instead of hours.
News & releases
Voice Surveys Are Here: Talk to Your Respondents (Literally)
AI voice surveys bring the depth of a phone interview at a fraction of the cost. We think the technology is ready. Here's what that means for research and what to watch out for.
Guides
Build a Research Deck with Claude and MX8 Labs
Point Claude at your PowerPoint template and the MX8 Labs MCP connector, and build a draft research deck from your survey data, with editable charts and tables.
Ideas & analysis
Synthetic Twins: When to Use Them (and When Not To)
We've written about synthetic data in the abstract. Here's how Synthetic Twins actually work in the platform, when they'll accelerate your research, and when you should stick with live respondents.
Ideas & analysis
AI Survey Fraud Is Getting Harder to Catch
AI-generated survey responses have evolved from obvious bots to sophisticated mimicry. Here's why fraud detection has become an arms race—and how to compete.
Ideas & analysis
5 Questions to Ask Before Buying an AI Research Tool
The right questions to ask about AI research tools separate genuine capability from good marketing. Here's what to look for before you buy.
News & releases
Real-Time Weighting and Progress Tracking
You no longer have to wait for fieldwork to close before you start learning. In-field weighting and progress tracking are live on MX8 Labs.
Ideas & analysis
The Death of the Annual Brand Tracker
Annual brand trackers were designed around operational constraints, not strategic ones. When AI collapses production costs, continuous tracking becomes inevitable.
Ideas & analysis
Research Ops as the Operating System for Insight
As AI reshapes research from episodic projects into continuous systems, Research Ops must evolve from administrative support into the operational engine that makes insight infrastructure possible.