Echo is built on decades of organizational psychology research. We don't guess—we measure, analyze, and predict using evidence-based methods trusted by Fortune 500 companies.
THE BUSINESS CASE
Burnout is Costing You Millions
$322B
Annual global cost of employee turnover & burnout
76%
of employees experience burnout at least sometimes
50%
of turnover is preventable with early intervention
6-9 mo
of salary = cost to replace an employee
Sources: Gallup State of the Global Workplace 2023; SHRM Human Capital Benchmarking Report;
McKinsey Health Institute 2022
METHODOLOGY 01
Experience Sampling Method (ESM)
Annual engagement surveys are outdated. By the time results come in, problems have already escalated. Echo uses Experience Sampling Method—a research technique that captures data in real-time, as experiences happen.
Traditional Surveys
❌ Once per year
❌ Recall bias distorts answers
❌ Survey fatigue (30+ questions)
❌ Results arrive too late
Echo Daily Check-ins
✓ Daily micro-moments (30 seconds)
✓ Captures real-time emotional state
✓ Low friction = high participation
✓ Trend detection within days
Csikszentmihalyi, M., & Larson, R. (2014). Validity and Reliability of the Experience Sampling Method.
In Flow and the Foundations of Positive Psychology. Springer.
METHODOLOGY 02
Maslach Burnout Inventory Framework
Our risk scoring is based on the Maslach Burnout Inventory (MBI)—the gold standard in burnout research, used in over 35 years of peer-reviewed studies. We measure three key dimensions:
Exhaustion
Feeling drained, depleted of emotional & physical resources
Cynicism
Detachment, negative attitudes toward work & colleagues
Inefficacy
Reduced productivity, feelings of incompetence
Echo's daily check-ins are designed to detect early warning signs across all three dimensions—before they compound into full burnout.
Maslach, C., & Leiter, M. P. (2016). Understanding the burnout experience: recent research and its implications for psychiatry.
World Psychiatry, 15(2), 103-111. DOI: 10.1002/wps.20311
METHODOLOGY 03
Predictive Pattern Recognition
Research shows burnout doesn't happen suddenly—it follows predictable patterns over 2-4 weeks. Echo's algorithm identifies these patterns:
1
Declining Energy Trends
Consistent drop in reported energy over 5+ days signals exhaustion phase
2
Satisfaction-Energy Divergence
When satisfaction drops faster than energy, it indicates growing cynicism
3
Participation Drop-off
Reduced engagement with check-ins often precedes resignation by 2-3 weeks
Leiter, M. P., & Maslach, C. (2009). Nurse turnover: the mediating role of burnout.
Journal of Nursing Management, 17(3), 331-339.
METHODOLOGY 04
Psychological Safety & Team Performance
Google's Project Aristotle studied 180 teams and found that psychological safety—not individual talent—was the #1 predictor of team performance. Teams where members feel safe to take risks outperform others by 40%.
Echo creates psychological safety through anonymity. Individual responses are never shown to managers—only aggregate team trends. This encourages honest reporting and surfaces issues that would otherwise stay hidden.
Privacy by Design
Managers see team averages only. Individual data stays private. No surveillance, no micromanagement.
Edmondson, A. C. (2018). The Fearless Organization: Creating Psychological Safety in the Workplace for Learning, Innovation, and Growth.
Wiley. See also: Google re:Work
THE ECHO SYSTEM
How It All Works Together
Collect
Daily check-ins via Slack or Teams capture energy & satisfaction in real-time
Analyze
AI detects burnout patterns using Maslach framework within 2 weeks of onset
Alert
HR dashboard shows at-risk individuals & teams before resignation happens
ETHICS & COMPLIANCE
Built for Trust
Echo is a monitoring tool, not a diagnostic system. We observe patterns—we don't diagnose conditions.
All data is encrypted, anonymized at the team level, and fully GDPR compliant.
AES-256 ENCRYPTION
GDPR COMPLIANT
INDIVIDUAL ANONYMITY
SOC 2 TYPE II (COMING)
Ready to See Your Team's Real Pulse?
Evidence-based insights. 14-day free trial. No credit card required.