Startup
89€/ month
For startups and very lean teams that need one focused workspace to validate an immediate product question without manual qualification.
Roadmap validation and decision intelligence
Validate roadmap decisionsbefore they reach engineering.
Fred helps product teams turn one risky roadmap decision into a traceable decision case: the hypothesis, evidence, conflicting signals, confidence level, recommendation, and next validation step.
Evidence, signals, synthesis, confidence, and recommendations stay connected before roadmap work reaches engineering.
Roadmap hypothesis
Evidence trail
Confidence level
Recommendation
Supported by
At a glance
What Fred helps teams decide
Fred is a roadmap-validation and decision-intelligence platform for teams that need evidence-backed product decisions before build. Teams use Fred to define the decision under test, collect participant evidence, synthesize signals with AI assistance, review confidence and limitations, and share a decision-ready report stakeholders can inspect before engineering work moves forward.
Decision
Start from the roadmap question, not a generic research activity.
Evidence
Keep sessions, responses, signals, clips, and participant context tied to the claim they support.
Confidence
Turn findings into a recommendation, confidence level, limitations, and next validation step.
Decision Evidence Sprint
Turn one risky roadmap decision into an evidence-backed decision case.
A Decision Evidence Sprint is Fred's focused validation workflow for teams that need to decide what to build, change, prioritize, or stop before engineering capacity is committed.
01
Decision under test
The product, roadmap, or transformation decision the team needs to make.
02
Roadmap hypothesis
The assumption that must be validated before build.
03
Evidence collected
Sessions, responses, tasks, behavioral signals, and qualitative context.
04
Signals and contradictions
What converges, what conflicts, and what needs more investigation.
05
Confidence level
A clear read on how strong the evidence is and where it is limited.
06
Recommendation
What to build, change, test again, or avoid.
07
Reduced risk
The specific roadmap risk the sprint helped reduce.
08
Next validation step
The next action needed before broader rollout.
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
Fred uses AI-assisted synthesis to accelerate pattern detection and report drafting while keeping human review, source evidence, confidence, and limitations 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 surfaces the signals that make decisions more defensible.
Fred may surface behavioral, attention, reaction, or prosody-related signals as evidence to review. These signals support human interpretation, not automated certainty.
Human response
Transcript context, AI-assisted reaction cues, prosody-related signals, and moments that may need human review.
Behavioral evidence
Task flow, click behavior, completion, friction points, and attention-related context where available.
Combined AI insights
AI-assisted clustering that connects evidence across methods without hiding source material, confidence, or limitations.
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.
Researcher
299€/ month
For independent researchers and lean teams that need to turn real product decisions into structured evidence, synthesis, and reports.
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 roadmap decision to Fred.
Start with the roadmap question your team needs to answer, then use Fred to collect evidence, synthesize patterns, review confidence, and share a decision case stakeholders can inspect.
Reduce product decision risk
Trace evidence to source
Share stakeholder-ready reports