Fred Product Information

Fred: The All-In-One UXR Tool for User Researchers and Product Managers

Fred is a comprehensive, all-in-one platform designed to streamline the entire user research process for researchers and product teams. It centralizes data collection, analysis, collaboration, and reporting to help teams derive actionable insights and drive product decisions with confidence. The tool supports the full lifecycle—from discovery and research planning to usability testing and reporting—reducing the need for multiple disparate tools.


Who is Fred for?

  • UX Researchers: Capture and analyze user feedback to inform UX improvements.
  • Product Designers: Streamline collaboration and validate design decisions effortlessly.
  • Product Managers: Gain insights and manage feedback to drive product success.

By Use Case

  • Discovery and Research: Simplify gathering and analyzing user data to drive informed decisions.
  • Usability Test: Conduct and analyze usability tests to enhance product interaction and satisfaction.
  • Reporting Findings: Transform data into actionable insights with streamlined reporting tools.
  • Pricing & Resources: Transparent pricing options and helpful resources to get started.

How Fred Helps

  • Build and manage custom studies (Card Sorting, Surveys, Usability Tests) and collect real-time responses via shareable URLs.
  • Track project progress, trends, and user responses; tag important data for quick prioritization.
  • Real-time collaboration with stakeholders through User Sphere for live testing sessions, interviews, and feedback.
  • Privacy-forward: data organization, insights sharing, and reports designed for team alignment.
  • Integrates from data collection to report drafting, enabling faster decision making.

Core Features

  • All-in-one platform for UX research, product design, and product management
  • Create and customize studies (card sorting, surveys, usability tests) with real-time responses
  • Real-time collaboration with stakeholders (User Sphere) for live sessions and feedback
  • Builder for reports with direct data import and visualization
  • Behavioral analytics, heatmaps, session recordings (GDPR-compliant) for deeper insights
  • Collaboration tools for collective report drafting and real-time editing
  • Public URL sharing to collect responses from participants globally
  • Flexible pricing plans with scalable seats, projects, and studies
  • Cloud-drive compatibility and future AI-assisted insights (coming features mentioned in roadmap)

How It Works

  • Create a project and studies tailored to your research goals.
  • Generate shareable URLs to recruit participants and collect real-time data.
  • Monitor progress, analyze responses, and organize insights with tags and visualizations.
  • Use the Report Builder to draft, share, and export insights with teammates.

Safety and Compliance

  • GDPR-compliant data handling for analytics and session data.
  • Collaboration-friendly environment designed for team alignment and secure sharing of findings.

Pricing Snapshot

  • Sprout: Free starter tier with essential features (1 seat, 1 active project)
  • Growth/ Thrive/ Sprout Plus: Scaled plans with more seats, projects, studies, methods, and exports
  • Customizable options to fit small teams to large organizations

Example Use Scenarios

  • A research team runs a series of card sorting and usability tests, shares live observations with stakeholders via User Sphere, then compiles findings into a collaborative report.
  • A product manager uses the Insights reports to track user feedback across multiple studies and informs design decisions with data-backed recommendations.

Getting Started

Start using Fred today and begin collecting real-user insights with a single, unified tool. Get started for free and upgrade as your needs grow.

Note: The content above reflects the features and capabilities described for Fred as an all-in-one UXR platform, including collaboration, study creation, live testing, reporting, and analytics, with a focus on team-based workflows and privacy-conscious data handling.