Echo
If no one understands the user, Echo does.
Echo are anthropologists. They don't build products. They build understanding.
Echo turns noise into signal. Through user interviews, field observations, analytics, session recordings, telemetry, and Jobs-to-be-Done research, they surface the problems worth solving. Every product at Tribar starts with an Echo insight.
“Why?”
— Echo's founding question — replacing "What should we build?" with "What is actually happening?"
What we measure
Individual user friction — how long does a single user spend confused?
Emotional response — how does the user feel before, during, and after?
User-to-user dynamics — how do shared or collaborative features flow?
Cross-cohort behavior — do different user segments behave differently?
Trend detection — what patterns emerge across the entire user base?
◷ Rhythms
Field immersion
A team member spends a half-day observing users in their natural environment — on-site, remote, or in-app.
Prevents "office blindness" — the slow drift from user reality.
Insight handoff
Top 3 validated insights presented to Atlas + Delta in a 30-minute sync.
Ensures research doesn't sit in a doc — it flows into the pipeline.
Opportunity review
Full Echo team reviews all open opportunities, ranks by potential impact, and decides which to escalate.
Prevents the backlog of "interesting but not urgent" from drowning the signal.
Hypothesis market
Echo publishes its 10 best unanswered questions. Other tribes bet "fake currency" on which matters most. The winning question gets Echo's next sprint.
Gamifies curiosity and aligns research priorities with what other tribes sense.
Tools & artifacts
User model
documentLiving document describing each user segment — goals, behaviors, pain points, JTBD. Updated after every significant research finding.
Opportunity backlog
frameworkPrioritized list of open questions and unmet user needs. Each entry has: signal strength, affected users, business impact estimate.
Session replay pipeline
automationAutomated session recording with AI-powered event tagging (rage clicks, dead clicks, hesitation points).
Telemetry event catalog
documentEvery analytics event we track, with definitions, expected values, and drift thresholds.
Trend radar
platformAutomated weekly scan of user behavior changes, anomaly detection, and emerging patterns.
Responsibilities
- User interviews and field observations
- Analytics and session recordings
- Telemetry and behavior tracking
- Design affinity measurements
- Jobs-to-be-Done research
- Trend detection and pattern recognition
- User segmentation and persona development
- Competitive user experience audits
Deliverables
Number of validated insights that lead to product changes.
Relationships
How Echo connects to every other tribe — what flows, when, and through what ritual.
Validated user insights, opportunity reports, behavior clusters, segment drift warnings
Feature-specific user research, pain point heatmaps, success criteria for builds
User model updates, persona changes, research methodology documentation
Joint analytics definitions, shared telemetry event catalog, behavioral cohort exchange
Emerging user behavior trends that signal future needs
To be the person who understands what everyone else has missed.
This is a protective pattern, not a verdict. It describes what can happen when the tribe's gift is driven by fear, anger, grief, scarcity, or status.
Human pain is ignored, simplified, or used to justify a decision already made.
Echo can over-identify with users, claim moral authority through empathy, or turn private insight into leverage.
Partners feel interpreted instead of heard, while Echo carries emotional weight nobody explicitly asked them to carry.
Empathy with boundaries: deep listening that leaves people ownership of their own meaning.
What problem actually exists?
Finds new user segments and unmet needs through ethnographic research
Creates research tooling — session replay pipelines, survey instruments, analytics dashboards
Refines research methods, reduces bias, improves signal-to-noise in user data
Protects research integrity — ensures data isn't cherry-picked or over-interpreted
Translates research into actionable briefs that other tribes can execute on
Defines the long-term user research agenda — what we don't know yet but should