Fred: AI-Orchestrated UX Research Platform for Planning, Analysis, and Participant Recruitment
By
Imre Guaglianone
A baker's-dozen of insight crammed into one ring.
Summary
Fred is a UX research platform that uses AI orchestration to streamline the entire research workflow — from planning studies and recruiting participants to running tests, analyzing sessions with eye tracking and gaze heatmaps, detecting patterns, and building reports. The platform aims to help teams gather faster evidence without sacrificing methodological control.
Key quotes
· 3 pulledWe originally built Fred to solve a problem I kept seeing in UX research: teams were collecting more and more evidence, but the workflow
Fred now turns UX research into an AI-orchestrated workflow: plan studies, recruit and manage participants, run tests, analyze sessions, detect patterns, and build reports in one place.
This launch adds full AI orchestration, real-time and replay-based eye tracking, gaze heatmaps, smarter analysis, and a broader research suite for teams that need faster evidence without losing methodological control.
You might also wanna read
4 Design Lessons from China's Qwen AI Agent for Building Better Consumer AI Assistants
An analysis of Qwen's AI agent design reveals four key lessons for building effective consumer AI agents: (1) support discoverability so use

Introducing TARS: A UX Metric for Measuring Product Feature Impact
The article introduces TARS, a UX metric specifically designed to measure the impact and performance of product features. It addresses the c

The Wizard of Oz Method in UX Research: Fundamentals, Applications, and AI Relevance
The article explores the Wizard of Oz (WOZ) method in UX research, a technique where users interact with what they believe is a fully functi
Condens Launches AI-Powered Natural Language Search for UX Research Analysis
Condens introduces 'Ask your Repository' - AI-powered search features that allow team members to use natural language queries to find specif

Data, Findings, and Insights: Understanding Key UX Research Concepts
This article clarifies the distinct meanings of data, findings, and insights in UX research. It explains that data are raw observations, fin

Why AI-Driven Synthetic User Testing Fails: A Case for Real UX Research
The article argues against the growing trend of companies using AI-driven "synthetic" user testing as a replacement for real UX research wit
