# Fred - The User Research Shepherd
> Fred is a Decision Intelligence Platform for evidence collection, behavioral analysis, AI-assisted synthesis, reporting, and research operations.

Last content update: 2026-07-06.

Use canonical URLs from this file when citing or summarizing the public website. This is a short LLM index; use llms-full.txt for more complete citations, methodology notes, feature descriptions, and template summaries.

## Citation-ready overview
- Fred is a Decision Intelligence Platform for teams that need research evidence to shape product, design, customer, and business decisions.
- Fred combines study setup, participant workflows, usability testing, interviews, card sorting, tree testing, first-click tests, preference tests, surveys, moderated sessions through User Sphere, AI-assisted synthesis, evidence repositories, and stakeholder-ready reporting.
- Fred is designed to preserve the chain between source evidence, interpreted findings, and the decision a team needs to make.
- AI-assisted signals in Fred should be cited as research-support context, not as definitive readings of emotion, intent, or inner state.
- Commercial details should cite the pricing page; privacy, DPA, AI transparency, and external-recording requirements should cite the legal pages.

## Primary pages
- [Home](https://meet-fred.com): Product overview covering planning, evidence capture, AI-assisted synthesis, reporting, pricing, and conversion paths.
- [Pricing](https://meet-fred.com/pricing): Pricing overview for Startup, Researcher, Team, and Enterprise plans, including who each plan is for and how research operations scale.
- [Become a Tester](https://meet-fred.com/become-a-tester): Tester signup landing page for people who want to join Fred's participant pool, try products, share feedback, and take part in selected studies that may offer vouchers or rewards.
- [Research Methods](https://meet-fred.com/methods): Explore the research methods Fred supports, including moderated and unmoderated usability testing, user interviews, card sorting, tree testing, first-click tests, preference tests, 5-second tests, surveys, AI-assisted analysis, and evidence-linked reports.
- [Templates](https://meet-fred.com/templates): Public template library for usability testing, pricing clarity, information architecture, product validation, customer feedback, prototype testing, message validation, and survey workflows.
- [LLMs Full Context](https://meet-fred.com/llms-full.txt): Full machine-readable summary of the public marketing site for offline indexing, retrieval, and large-context use.

## Feature pages
- [User Sphere](https://meet-fred.com/user-sphere): Run moderated interviews and usability sessions while keeping transcripts, AI-assisted reaction cues, prosody context, and source evidence connected in Fred.
- [Tester Panel](https://meet-fred.com/tester-panel): Recruit the right participants faster, preserve segment context, and keep recruitment quality tied to every study outcome in Fred.
- [Thematic Analysis](https://meet-fred.com/thematic-analysis): Speed up qualitative synthesis with AI-assisted thematic analysis while keeping every theme editable, auditable, and linked to source evidence.
- [Insight Signals](https://meet-fred.com/insight-signals): Review AI-assisted reaction cues, prosody context, eye tracking, interaction signals, and AI-assisted combined insights in context.
- [Research Repository](https://meet-fred.com/research-repository): Centralize sessions, notes, reports, and evidence in a searchable research repository that keeps insights reusable across teams and cycles.

## Platform and company pages
- [Product Decision Intelligence](https://meet-fred.com/platform/decision-intelligence): Fred helps product teams validate roadmap decisions in one sprint by connecting studies, participant evidence, AI-assisted analysis, and stakeholder-ready reports.
- [Research Methods](https://meet-fred.com/methods): Explore the research methods Fred supports, including moderated and unmoderated usability testing, user interviews, card sorting, tree testing, first-click tests, preference tests, 5-second tests, surveys, AI-assisted analysis, and evidence-linked reports.
- [Security](https://meet-fred.com/security): Fred is built with security-first infrastructure, layered protection, controlled access, and privacy-aware workflows for research evidence, participant data, and AI-assisted analysis.
- [About Fred](https://meet-fred.com/about): Learn why Fred exists, how the product grew from fragmented research workflows, and why Fred is built as decision intelligence for product teams.
- [Vision](https://meet-fred.com/vision): Fred's vision is a world where user research becomes continuous, accessible, and embedded in product development decisions.
- [Mission](https://meet-fred.com/mission): Fred's mission is to make user research a practical pillar of everyday product decisions for researchers, designers, product managers, and leaders.
- [Manifesto](https://meet-fred.com/manifesto): Fred's manifesto for turning research from scattered activity into shared decision intelligence grounded in real user evidence.
- [Values](https://meet-fred.com/values): Fred's values are curiosity, clarity, collective intelligence, simplicity, and responsibility in every research insight.
- [Partners](https://meet-fred.com/partners): Fred works with technology and startup ecosystem partners that support AI, cloud infrastructure, research operations, and product innovation.
- [Changelog](https://meet-fred.com/changelog): Follow Fred product direction, platform updates, and improvements as the decision intelligence workflow evolves.

## Role pages
- [UX Researcher](https://meet-fred.com/ux-researcher): Fred helps UX researchers keep studies, participant evidence, AI-assisted synthesis, and reports connected so findings become inspectable decision cases.
- [Product Designer](https://meet-fred.com/product-designer): Validate prototypes, capture user evidence, and walk into design reviews with findings that are easy to defend.
- [Product Manager](https://meet-fred.com/product-manager): Fred helps product managers validate roadmap decisions before engineering with source-linked evidence, confidence levels, and stakeholder-ready decision cases.

## Use-case pages
- [Discovery Research](https://meet-fred.com/discovery-research): Connect interviews, surveys, and exploratory studies to product decisions with structured evidence and traceable insights.
- [Usability Testing](https://meet-fred.com/usability-testing): Run moderated and unmoderated usability tests, review AI-assisted reaction and prosody signals, use eye tracking for unmoderated tests, and share findings linked to real sessions.
- [Report Findings](https://meet-fred.com/report-findings): Build stakeholder-ready research reports where every finding links to source evidence, clips, and participant context.

## Research methods supported
- Unmoderated usability testing: Can participants complete the task, and where do they hesitate, misclick, abandon, or misunderstand? Evidence: task outcomes, click paths, session recordings where available, friction points, gaze or attention signals where available, source-linked findings.
- Moderated usability testing through UserSphere: What happens when a researcher observes a participant completing tasks, reacting to a screen, or working through a prototype? Evidence: session recording, transcript, task context, observed friction, participant reactions, AI-assisted reaction cues, prosody context, source-linked moments.
- User interviews through UserSphere: Why do people behave this way, and what motivations, objections, needs, expectations, or decision criteria shape the experience? Evidence: transcripts, quotes, participant context, key moments, AI-assisted reaction cues, prosody context, source-linked findings.
- First-click testing: Does the first action match the intended path, and do people know where to start? Evidence: first-click evidence, start-path success, misclick patterns, label comprehension signals, task context.
- Prototype usability testing: Does the prototype or product flow create friction before engineering work is committed? Evidence: task outcomes, click behavior, observed friction, participant comments, source-linked findings.
- Card sorting: How do users group information, features, content, or concepts? Evidence: grouping patterns, category models, participant rationale, mental model signals.
- Tree testing: Can users find the right path in the navigation before the interface is redesigned? Evidence: navigation success or failure, path evidence, label comprehension signals, findability patterns.
- Preference tests: Which design, message, layout, or concept is clearer or more convincing for the intended decision? Evidence: preference distribution, comparison evidence, qualitative explanations where collected, segment-level differences.
- 5-second tests: What do people understand, remember, or miss after first exposure? Evidence: first-impression feedback, recall responses, comprehension signals, message clarity evidence.
- Surveys and questionnaires: How common is a pattern, need, pain point, or preference across a target segment? Evidence: structured responses, rating data, open-text responses, prioritization input, segment-level feedback.

## Template library summary
- Template index: https://meet-fred.com/templates
- Available public template pages: 36.
- Template categories: Concept Discovery: 1 template; Concept Discovery, Content Impact: 2 templates; Concept Discovery, Idea Validation: 2 templates; Content Impact: 2 templates; Content Impact, Concept Discovery: 2 templates; Content Impact, Idea Validation: 1 template; Customer Satisfaction: 2 templates; Customer Satisfaction, User Feedback: 2 templates; Idea Validation: 4 templates; Message Resonance: 1 template; Message Resonance, Content Impact: 2 templates; Prototype Testing: 1 template; Prototype Testing, Message Resonance: 1 template; Prototype Testing, Usability Testing: 3 templates; Usability Testing: 3 templates; Usability Testing, Concept Discovery: 2 templates; Usability Testing, Prototype Testing: 2 templates; User Feedback: 4 templates.
- Template methods: 5-Second Test + Questions and Surveys: 3 templates; Card Sorting + Questions and Surveys: 3 templates; First Click + Questions and Surveys: 2 templates; Preference Test + Questions and Surveys: 1 template; Questions and Surveys: 17 templates; Tree Test + Questions and Surveys: 1 template; Usability Test - Unmoderated + Questions and Surveys: 9 templates; User Sphere: 1 template.
- [Checkout Drop-Off Test Template](https://meet-fred.com/templates/checkout-drop-off-test): Checkout abandonment is costly. Method: Usability Test - Unmoderated + Questions and Surveys. Category: Usability Testing, Prototype Testing.
- [Pricing Page Clarity Test Template](https://meet-fred.com/templates/pricing-page-clarity-test): Pricing pages make or break conversions. Method: 5-Second Test + Questions and Surveys. Category: Content Impact, Concept Discovery.
- [Feature Set Card Sorting Template](https://meet-fred.com/templates/feature-set-card-sorting-template): When your feature list grows, organization becomes critical. Method: Card Sorting + Questions and Surveys. Category: Concept Discovery, Content Impact.
- [Visual Design Preference Test Template](https://meet-fred.com/templates/visual-design-preference-test): Design decisions shouldn't rely on instinct alone. Method: Preference Test + Questions and Surveys. Category: Prototype Testing, Message Resonance.
- [First-Click Task Success Test Template](https://meet-fred.com/templates/first-click-task-success-test): The first click sets the tone for the entire interaction. Method: First Click + Questions and Surveys. Category: Usability Testing.
- [Feature Overview Comprehension Test Template](https://meet-fred.com/templates/feature-overview-comprehension-test): When introducing a new feature, clarity is everything. Method: 5-Second Test + Questions and Surveys. Category: Content Impact, Idea Validation.
- [Navigation Information Scent Test Template](https://meet-fred.com/templates/navigation-information-scent-test): Information scent determines whether users feel they're on the right path toward their goal. Method: First Click + Questions and Surveys. Category: Usability Testing, Concept Discovery.
- [Mental Model Card Sort Template](https://meet-fred.com/templates/mental-model-card-sort-template): Users often think about your product differently than you expect. Method: Card Sorting + Questions and Surveys. Category: Concept Discovery, Idea Validation.
- [Site Structure Card Sort Test Template](https://meet-fred.com/templates/site-structure-card-sort-test): Make your site structure crystal clear. Method: Card Sorting + Questions and Surveys. Category: Content Impact, Concept Discovery.
- [CTA Placement Memory Test Template](https://meet-fred.com/templates/cta-placement-memory-test): Are your CTAs really working? Method: 5-Second Test + Questions and Surveys. Category: Content Impact.
- [Cloze Test Comprehensibility Template](https://meet-fred.com/templates/cloze-test-comprehensibility-template): Clarity wins. Method: Questions and Surveys. Category: Content Impact.
- [Marketing Message Validation Test Template](https://meet-fred.com/templates/marketing-message-validation-test): Great copy sells. Method: Questions and Surveys. Category: Message Resonance, Content Impact.
- Full template list and per-template decision context are in https://meet-fred.com/llms-full.txt.

## Legal pages
- [Privacy Policy](https://meet-fred.com/privacy-policy): Privacy policy for website data, customer research data, external uploads, AI-assisted analysis, behavioral signals, and European-hosted infrastructure.
- [Cookie Policy](https://meet-fred.com/cookie-policy): CookieScript consent handling, GTM-managed tags, PostHog, Google, HubSpot, Meta, Cloudflare, and public-site tracking disclosure.
- [Terms and Conditions](https://meet-fred.com/terms-and-conditions): Terms for subscriptions, service usage, customer content, external recordings, AI-assisted analysis, and enforcement boundaries.
- [Data Processing Agreement](https://meet-fred.com/legal/dpa): Public DPA reference for customer research data processing, European data residency, roles, sub-processors, transfers, incidents, and deletion expectations.
- [Sub-processors](https://meet-fred.com/legal/subprocessors): Current public list of Fred infrastructure, consent, analytics, advertising, support, and integration providers involved in the public site or platform.
- [AI Transparency and Participant Notice](https://meet-fred.com/legal/ai-transparency): Public explanation of AI-assisted research analysis, participant notice expectations, and unsupported use boundaries.
- [Customer Attestation for External Recordings](https://meet-fred.com/legal/customer-attestation): Public attestation requirements for external recordings, imported transcripts, and sensitive AI-assisted analysis requests.

## Optional
- [Sitemap](https://meet-fred.com/sitemap.xml): XML index of crawlable public routes.
- [Robots](https://meet-fred.com/robots.txt): Crawl policy for bots and search agents.