Choose the research method based on the decision risk.
Fred helps teams choose between moderated interviews, moderated and unmoderated usability tests, information architecture validation, concept comparison, surveys, and AI-assisted synthesis, then keeps the evidence connected through findings, reports, and product decisions.
- Method coverage across moderated and unmoderated research
- Decision-led guidance for discovery, usability, IA, concept, and feedback work
- Source-linked findings and reports after evidence is collected
Method fit
Usability and task validation
Use this group before committing design or engineering time to a task flow.
Qualitative discovery and interviews
Use this group when the question starts with why, how, or what matters.
Information architecture
Use this group before a navigation, content model, or taxonomy decision hardens.
Concept and design direction
Use this group when multiple plausible directions need evidence before prioritization.
Structured feedback and prioritization
Use this group to quantify patterns, priorities, or preferences alongside qualitative evidence.
Analysis and decision output
Use this workflow after collection to decide what the evidence supports and what the team should do next.
Method coverage
A methods hub for the question behind the work.
Collection methods, moderated sessions, and synthesis workflows produce different kinds of evidence. Fred keeps those differences clear so teams can choose the right path for the decision in front of them.
Use task-based methods when the team needs to understand what people do.
Use UserSphere when live context, follow-up questions, and session evidence matter.
Use surveys and structured tests when consistent feedback across a segment is needed.
Use synthesis and reporting when evidence needs to become a decision record.
Research workflows
What each method helps your team decide.
Start with the product question, then choose the workflow that produces the evidence your team can actually use.
Usability and task validation
Unmoderated usability testing
Can participants complete the task, and where do they hesitate, misclick, abandon, or misunderstand?
Use when
Use it when a live researcher is not required and the team needs task evidence from participants moving through a product, prototype, website, or flow.
Evidence
- task outcomes
- click paths
- session recordings where available
- friction points
- gaze or attention signals where available
- source-linked findings
Inside Fred: Review task evidence, cluster friction patterns, and turn the strongest finding into a report section.
Usability and task validation
Moderated usability testing through UserSphere
What happens when a researcher observes a participant completing tasks, reacting to a screen, or working through a prototype?
Use when
Use UserSphere when the team needs live session context, follow-up questions, observed friction, and moderated task evidence.
Evidence
- session recording
- transcript
- task context
- observed friction
- participant reactions
- AI-assisted reaction cues
- prosody context
- source-linked moments
Inside Fred: Connect the moderated session moments to themes, quotes, clips, and stakeholder-ready findings.
Qualitative discovery and interviews
User interviews through UserSphere
Why do people behave this way, and what motivations, objections, needs, expectations, or decision criteria shape the experience?
Use when
Use interviews for discovery research, customer interviews, problem exploration, concept exploration, qualitative validation, and research reviews.
Evidence
- transcripts
- quotes
- participant context
- key moments
- AI-assisted reaction cues
- prosody context
- source-linked findings
Inside Fred: Group recurring language, motivations, objections, and mental models into reviewable themes.
Usability and task validation
First-click testing
Does the first action match the intended path, and do people know where to start?
Use when
Use it before committing to a page, dashboard, landing page, onboarding step, checkout path, or feature entry point.
Evidence
- first-click evidence
- start-path success
- misclick patterns
- label comprehension signals
- task context
Inside Fred: Compare intended paths against participant starts, then flag labels, hierarchy, or layout choices that need revision.
Usability and task validation
Prototype usability testing
Does the prototype or product flow create friction before engineering work is committed?
Use when
Use it when the team wants early evidence on an interactive prototype or product flow before build decisions harden.
Evidence
- task outcomes
- click behavior
- observed friction
- participant comments
- source-linked findings
Inside Fred: Turn prototype friction into design priorities before handoff or sprint commitment.
Information architecture
Card sorting
How do users group information, features, content, or concepts?
Use when
Use it when labels, content groupings, product categories, or feature organization are still open.
Evidence
- grouping patterns
- category models
- participant rationale
- mental model signals
Inside Fred: Use the grouping evidence to shape navigation, taxonomy, content structure, or product packaging.
Information architecture
Tree testing
Can users find the right path in the navigation before the interface is redesigned?
Use when
Use it when a proposed structure needs validation without visual design influencing the result.
Evidence
- navigation success or failure
- path evidence
- label comprehension signals
- findability patterns
Inside Fred: Identify broken labels, unclear hierarchy, and paths that need restructured before launch.
Concept and design direction
Preference tests
Which design, message, layout, or concept is clearer or more convincing for the intended decision?
Use when
Use it when the team needs comparative evidence before choosing a direction.
Evidence
- preference distribution
- comparison evidence
- qualitative explanations where collected
- segment-level differences
Inside Fred: Connect preference evidence to the decision the team needs to make, not just the option that won.
Concept and design direction
5-second tests
What do people understand, remember, or miss after first exposure?
Use when
Use it to test first impressions, message recall, visual hierarchy, and immediate comprehension.
Evidence
- first-impression feedback
- recall responses
- comprehension signals
- message clarity evidence
Inside Fred: Use recall and comprehension evidence to adjust message hierarchy, concept framing, or landing-page direction.
Structured feedback and prioritization
Surveys and questionnaires
How common is a pattern, need, pain point, or preference across a target segment?
Use when
Use surveys and questionnaires when the team needs structured responses that complement interviews, usability sessions, or concept work.
Evidence
- structured responses
- rating data
- open-text responses
- prioritization input
- segment-level feedback
Inside Fred: Combine structured feedback with qualitative evidence before deciding which pattern is strong enough to act on.
Decision-risk matrix
Group the method by the risk it reduces.
Discovery, usability, information architecture, concept direction, structured feedback, and decision output each need a different evidence shape.
Usability and task validation
Reduce the risk that a flow, prototype, website, dashboard, or feature cannot be understood or completed.
- Unmoderated usability testing
- Moderated usability testing through UserSphere
- First-click testing
- Prototype usability testing
Use this group before committing design or engineering time to a task flow.
Qualitative discovery and interviews
Reduce the risk that the team misunderstands user motivations, objections, mental models, needs, or buying criteria.
- User interviews through UserSphere
- Discovery sessions
Use this group when the question starts with why, how, or what matters.
Information architecture
Reduce the risk that users cannot understand labels, categories, paths, or navigation structure.
- Card sorting
- Tree testing
Use this group before a navigation, content model, or taxonomy decision hardens.
Concept and design direction
Reduce the risk of choosing a design, message, layout, or value proposition that does not land.
- Preference tests
- 5-second tests
Use this group when multiple plausible directions need evidence before prioritization.
Structured feedback and prioritization
Reduce the risk of over-weighting one conversation when the team needs structured input across a segment.
- Surveys
- Questionnaires
Use this group to quantify patterns, priorities, or preferences alongside qualitative evidence.
Analysis and decision output
Reduce the risk that method output becomes disconnected notes, exports, or claims without evidence.
- AI-assisted thematic analysis
- Insight signals
- Source-linked findings
- Stakeholder-ready reports
- Reusable decision records
Use this workflow after collection to decide what the evidence supports and what the team should do next.
What you can run
Concrete workflows, not a generic method list.
Fred is strongest when the team can name the decision, choose the evidence shape, and keep the source material attached after collection.
Observe a checkout, onboarding, dashboard, or prototype flow
Run a moderated usability test through UserSphere when a researcher needs to watch a participant complete tasks, ask follow-up questions, and preserve session evidence.
Collect task evidence without a live researcher in the room
Run an unmoderated usability test when the team needs completion, click, friction, and attention evidence from participants on their own time.
Explore needs, motivations, objections, and mental models
Run a user interview through UserSphere when discovery work needs transcript, quotes, participant context, and source-linked moments.
Validate where users start
Use first-click testing when the team needs to know whether people begin in the expected place on a page, prototype, or flow.
Shape and validate information architecture
Use card sorting to understand how people group content, then tree testing to check whether the proposed navigation paths work.
Compare design, messaging, layout, or concept alternatives
Use preference tests and 5-second tests when the team needs first-impression, recall, comprehension, and comparison evidence.
Collect structured input from a target segment
Use surveys and questionnaires to measure priorities, ratings, open-text feedback, and segment-level patterns.
Turn research activity into decisions
Use AI-assisted synthesis and evidence-linked reports to connect method output to reviewable findings, recommendations, and reusable decision records.
Evidence chain
The method matters because the evidence has somewhere to go.
Fred's value is not just method coverage. It is the connected workflow from research activity to participant evidence, behavioral or session context where available, AI-assisted synthesis, source-linked findings, reports, and decision records.
- 01Method setup
- 02Participant evidence
- 03Behavioral or session signals where available
- 04AI-assisted synthesis
- 05Source-linked findings
- 06Stakeholder-ready report
- 07Decision record
Method guidance
Match the method to the kind of evidence the decision needs.
Some questions need discovery interviews, some need usability testing, some need information architecture validation, and some need structured survey research. Fred helps teams connect each user research method to AI-assisted analysis, research reporting, and the product decision that follows.
Use moderated usability testing when live observation and follow-up questions matter. Use unmoderated usability testing when the team needs task evidence from participants without a researcher in the room. Use user interviews for discovery, motivations, objections, needs, expectations, language, and decision criteria.
Use card sorting and tree testing for information architecture. Use first-click testing to validate where people start. Use 5-second testing and preference testing to compare concepts, design directions, message clarity, and first impressions. Use survey and questionnaire research when structured responses can complement qualitative evidence.
After collection, Fred helps teams use AI-assisted research analysis, insight signals, source-linked findings, and stakeholder-ready research reporting to make the decision case reviewable.
Related workflows
Go deeper into the workflow your team needs next.
Move from method choice into the role, feature, or workflow page that gives more context for the decision you are trying to make.
Common questions
Practical details before choosing a research workflow.
Short answers for teams comparing methods, moderated workflows, AI-assisted synthesis, and evidence-linked reports.
Decision-led research
Run the workflow that fits the question.
Start with the decision risk, collect the right evidence, and keep every finding connected to source material before the team acts on it.