Researcher
299€/ month
For independent researchers and lean teams that need to turn real product decisions into structured evidence, synthesis, and reports.
Sprint-ready decision intelligence
Validate roadmap decisionsin one sprint.
Fred connects studies, participant evidence, behavioral signals, AI-assisted synthesis, and stakeholder-ready reports in one workflow, so product teams can reduce risk before roadmap work moves forward.
Evidence, signals, synthesis, and reports stay connected while your team validates what to build next.
Validate roadmap decisions
Fit research into sprint cycles
Align stakeholders before build
Keep evidence traceable
Supported by
Where momentum breaks
Roadmap decisions fail when evidence arrives after commitment.
Fred is built for the moment before a team commits engineering, design, or budget. It helps product teams turn open questions into a focused validation workflow, then carry the evidence into the decision while there is still time to change course.
The team is deciding faster than research can land
A sprint starts, a feature gets scoped, and evidence becomes a post-rationalization instead of a decision input.
Signals are split across sessions, notes, exports, and slides
By the time stakeholders review the work, the source context is already harder to inspect.
Findings need credibility, not just prettier summaries
Fred keeps recommendations connected to the people, tasks, behavior, and evidence behind them.
The sprint validation loop
One workflow from product question to decision record.
Start with the decision that needs confidence. Fred helps your team choose the right study, capture human signals, synthesize the evidence, and share a report built for action.
01
Frame the roadmap risk
Define what needs to be validated before the next build cycle: demand, usability, comprehension, navigation, concept direction, or priority.
02
Run the right research workflow
Launch moderated or unmoderated studies, usability tests, card sorts, tree tests, preference tests, surveys, and discovery sessions from one workspace.
03
Synthesize signals with reviewable AI
Use AI to combine responses, behavioral evidence, emotion, prosody, eye tracking where available, and interaction signals while keeping sources visible.
04
Share the decision case
Turn findings into a stakeholder-ready report that explains the recommendation, the confidence level, and the source evidence.
Insight Signals
Fred detects the signals that make decisions feel real.
Evidence is not only what people say. Fred helps teams interpret what people do, where they struggle, how they react, and which patterns recur across studies.
Human response
Transcript, sentiment, emotion, prosody, and moments of surprise, hesitation, frustration, or confidence.
Behavioral evidence
Task flow, click behavior, completion, friction points, and eye tracking for unmoderated usability tests.
Combined AI insights
AI-assisted clustering that connects evidence across methods without hiding the source material.
Decision workflows
Different roadmap risks need different evidence.
Fred keeps the homepage focused on outcomes, while the method layer gives teams the right workflow when the question changes.
Will people understand and use this?
Usability tests, first-click tests, unmoderated sessions, eye tracking, and friction analysis.
Is this navigation or structure intuitive?
Card sorting, tree testing, information architecture studies, and path validation.
Which direction should we bet on?
Preference tests, 5-second tests, concept validation, surveys, and discovery interviews.
Reports and research memory
A report should become reusable product knowledge.
Fred turns the end of a study into the start of a decision record. Stakeholders get a clear recommendation now, and future teams can still inspect the evidence later.
Reports with source evidence
Findings, recommendations, clips, responses, and context stay connected in the output stakeholders read.
Research memory for future sprints
Past studies and decision context remain searchable instead of disappearing into folders and slide decks.
Security and governance foundations
Controlled workflows, privacy-minded data handling, and team access matter because research evidence is sensitive.
Who Fred helps
A shared workflow for teams that need evidence before build.
Fred gives product, research, design, and agency teams a common way to reduce decision risk without turning every sprint into a research bottleneck.
Product teams
Validate roadmap bets before engineering work moves forward.
Research teams
Reduce synthesis and reporting drag while keeping conclusions traceable.
Design teams
Test flows, concepts, and navigation before decisions become handoff artifacts.
Agencies
Standardize client delivery around evidence, reports, and repeatable research workflows.
Pricing preview
Make product decisions part of a living evidence system.
Fred turns research signals, reports, and decisions into a connected evidence layer your team can reuse, scale, and trust across every workflow.
Team
Most Popular699€/ month
For product, design, and research teams that need a shared evidence layer for decisions, synthesis, reporting, and cross-functional workflows.
Enterprise
From 2400€/ month
For organizations that need governance, rollout support, and scalable decision intelligence across teams, workflows, and research operations.
Start with one decision
Bring one sprint decision to Fred.
Start with the roadmap question your team needs to answer, then use Fred to collect evidence, synthesize patterns, and share a sprint-ready report.
Reduce product decision risk
Trace evidence to source
Share stakeholder-ready reports