Feature: User Sphere

Turn moderated sessions into decision-ready evidence.

User Sphere keeps notes, transcript, sentiment, emotion, and gaze connected to the task and participant moment that created them, so teams can review what happened without rebuilding the story from scattered tools.

Fred User Sphere workspace with AI-assisted session evidence
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Moderated interviews and usability tests in one flow

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Observer notes and transcript tied to the same timeline

03

Behavioral signals framed as reviewable evidence

Where moderated research breaks

Most moderated research stacks break the moment the session ends.

Teams run the interview, gather reactions, maybe track sentiment or gaze, then still reconstruct the story from separate tools before anyone trusts the recommendation.

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The session goes well

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Evidence scatters afterward

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Confidence drops before the readout

The real pain is not missing data. It is losing the chain between what happened and what the team later claims happened.

After the participant leaves

Fragments everywhere, confidence nowhere.

Observer notes

Useful comments lose force when they are detached from transcript and task context.

Transcript export

Another file to search through when the team needs a quote fast.

Reaction signals

Interesting cues lose meaning once they leave the session moment.

Final readout

Recommendations arrive later, after someone manually rebuilds the evidence story.

Why teams subscribe

They are not buying another meeting room. They are buying confidence.

User Sphere matters when the live session turns into something the wider team can revisit, challenge, and carry into the next decision.

What changes

Fred stops being just where the session happened. It becomes where evidence gets reviewed, defended, and turned into a decision.

Evidence stays attached to the moment

Notes, transcript, sentiment, emotion, and gaze remain tied to the task moment that created them.

Stakeholders can inspect the source

Teams can move from recommendation back to the quote, screen, and reaction that justified it.

Fred becomes the system of record

The live session, evidence review, and report handoff all happen in the same product.

How User Sphere fixes it

Run the session, capture the signal, and carry evidence forward.

The workflow is designed around continuity: the strongest session moments remain visible from live research through report handoff.

01 / Run the session

Run moderated research without fragmenting the team.

User Sphere gives you the room, observer workflow, and study structure without making the participant experience feel heavier.

  • Moderated interviews and usability tests in one flow
  • Observers capture notes on the session timeline
  • Cleaner audio protects transcript and quote quality

Built to keep the live session orderly and easier to review later.

Fred study setup and moderated research workflow

02 / Capture signals

Capture what people say, feel, and focus on in the same place.

The point is not to collect flashy signals. It is to keep those signals attached to the task, screen, and quote that produced them.

  • Emotion mapped to the moment that triggered it
  • Sentiment replay with source context preserved
  • Gaze and attention signals presented carefully

A richer signal stack only matters if it stays interpretable.

Fred User Sphere dashboard showing participant signals and evidence

03 / Move to reports

Carry evidence directly into the next decision.

Signals do not stop at playback. Fred keeps them available for synthesis, stakeholder review, and reporting.

  • Findings stay linked to tasks, screens, and quotes
  • Evidence moves directly into Fred's reporting layer
  • Teams can defend recommendations with source context

This is the step that turns replay into a decision asset.

Fred report builder with structured research evidence

What teams get back

Session evidence that survives into synthesis and stakeholder review.

When session context stays connected, playback becomes a credible basis for prioritization and reporting instead of a separate archive.

Fred insight detail view with session evidence connected to analysis

AI noise cancellation

Protect transcript quality before the team starts analysis.

Observer notes on the timeline

Keep stakeholders aligned around the same participant moment.

Emotion mapped to the task

Keep reactions tied to the interaction that triggered them.

Attention visibility

Review attention signals without adding a separate interpretation workflow.

Ready to preserve session context

Turn live research into evidence your team can inspect and use.

Use User Sphere to run moderated research, preserve source context, and carry the strongest evidence into Fred reports.

Moment-level context

Every important cue stays tied to the participant moment that created it.

Decision-ready evidence

The handoff from session to report stays connected and reviewable.