See what people say, do, and appear to react to in one evidence layer.
Fred keeps AI-assisted reaction cues, prosody context, eye tracking, interaction context, and AI-generated combined insights attached to the session moment, so teams can interpret behavior with more confidence.
Insight Signals are interpretation aids, not stand-alone factual determinations about what a person truly feels, intends, or believes. Review the AI Transparency and Customer Attestation pages for workflow boundaries and external-upload requirements.
At a glance
What Insight Signals add to session review
Insight Signals in Fred help teams review session behavior with more context while keeping interpretation grounded in evidence. The workflow can keep AI-assisted reaction cues, prosody context, eye tracking, interaction signals, and AI-generated combined insights attached to the task, quote, screen, and participant moment that produced them. These signals are research-support context, not definitive readings of emotion or intent; their value comes from helping teams revisit moments of hesitation, friction, attention, or confidence during synthesis and reporting.
Attached context
Signals stay close to the task, quote, screen, and participant moment that produced them.
Human review
AI-assisted cues support interpretation, but teams keep judgment over meaning, severity, and priority.
Report handoff
The strongest moments can move into synthesis and stakeholder reporting with source context intact.
Session interpretation risk
Session evidence gets flattened when behavior loses context.
The transcript explains what was said, not always what happened.
Hesitation, frustration, surprise, and reaction context can be visible in the session but missing from the final evidence trail.
Signals become noise when they leave the moment.
AI-assisted reaction cues, prosody, gaze, interaction, or AI-generated signal summaries are only useful if the team can inspect them next to the task, screen, quote, and participant context.
Playback stays isolated from the report.
The most revealing behavioral moments lose force if they cannot travel into synthesis and stakeholder review with their source intact.
Evidence layer
Richer signals should make session review clearer, not busier.
Fred puts signal detection and AI-generated combined insights inside the research workflow, so they can support interpretation, prioritization, and report handoff without becoming detached analytics.
Moment
Anchor signals to the task moment that produced them.
Fred keeps reaction cues, prosody, gaze, interaction, and AI signal summaries close to the screen state and participant behavior that gave them meaning.
Review
Interpret behavior without switching to a separate toolchain.
The team can revisit what people said, how their voice changed, how they appeared to react, where they focused, and which combined insights AI surfaced inside the same evidence workflow.
Decide
Carry the strongest moments into reporting.
Signals become useful when they combine into clearer explanations of severity, confidence, and priority during decision review.
Better playback
More signal is only better when it explains the decision.
Fred keeps reaction cues, prosody, gaze, interaction, and AI signal summaries tied to the session, then lets the strongest evidence travel into synthesis and reporting.
01
Signals stay in context
AI-assisted reaction cues, prosody, gaze, interaction, and AI signal summaries remain attached to the same participant moment.
02
Playback becomes more useful
The team can revisit not just what happened, but how the participant reacted while it happened.
03
Prioritization gets sharper
Richer evidence helps teams judge severity and confidence more clearly during review.
What teams get back
A sharper read on behavior inside the core research workflow.
Teams can explain not only what happened, but what participants appeared to notice, miss, struggle with, or react to during the task.
Emotion in context
Review reaction shifts without detaching them from the task moment that caused them.
Interaction clarity
Understand where people pause, misclick, or struggle in the flow.
Attention visibility
See where focus goes when the intended journey breaks down.
Evidence-rich handoff
Carry the strongest signal-backed moments into reporting and stakeholder review.
Add richer session context
Make playback more interpretable and more useful.
Bring AI-assisted reaction, prosody, eye tracking, interaction cues, and combined insights into the same workflow where the team already reviews and shares evidence.