Fred - AI Research Orchestration

Fred is an AI user-research tool that consolidates studies, participant evidence, AI-assisted analysis, and stakeholder reports into one sprint-focused workflow for product teams. It is built for product managers validating roadmap decisions, UX researchers cutting synthesis and reporting time, design teams testing flows and concepts, and agencies standardizing client research delivery. Fred supports a range of study types in one place: moderated and unmoderated studies, usability tests, card sorts, tree tests, preference tests, surveys, and discovery sessions. Its Insight Signals feature analyzes human responses alongside behavioral evidence, emotion, prosody, eye tracking, and sentiment, while AI-assisted clustering connects evidence across methods without hiding the underlying source material. A report builder turns findings into stakeholder-ready reports with traceable evidence, and a research repository stores and indexes past studies for reuse. Controlled workflows and privacy-focused data handling cover governance needs. Pricing runs from a Startup plan at EUR 89/month to Researcher (EUR 299/mo), Team (EUR 699/mo), and Enterprise (EUR 2,400+/mo) for organizations needing governance at scale.

Product and UX teams use Fred to run user research studies, analyze participant evidence with AI, and generate stakeholder reports with traceable evidence to inform roadmap decisions.