AMPLIFIER FOR ZOOM

Burnout doesn't show up on a survey.
It shows up in the voice.

Amplifier listens to the calls your executives are already on and turns voice into an early warning system for fatigue, strain, and burnout, weeks before a self-assessment would ever catch it.

// live vocal signal, zero extra minutes on the calendar

The problem

Your best people are the least likely to say something.

Executives are trained to project control. That is exactly why burnout at the top goes undetected until it costs you a resignation, a bad decision, or a health event.

71%
of CEOs report burnout, per Cerevity's 2026 High-Achiever Burnout Index1
$20,683
the average annual cost of a burned out executive to their organization, the highest of any role tier measured2
50%+
of C-suite leaders say they are likely to leave their role within two years3
$322B
lost worldwide each year to burnout-related turnover and lost productivity4

Why measurement fails today

Burnout has a clinical definition. Most companies never measure against it.

The World Health Organization classifies burnout in the ICD-11 as an occupational phenomenon, not a medical condition, resulting from chronic workplace stress that has not been successfully managed.7 It has a real, validated structure. The tools to measure it have existed for decades.

The problem has never been the science. It is the format. Every validated instrument depends on someone stopping, remembering how they have felt, and filling out a form, honestly, on a schedule nobody enforces. Executives are the population least likely to do that.

  • Maslach Burnout Inventory The field's gold standard. Scores exhaustion, cynicism, and reduced sense of accomplishment across 22 self-reported items.8
  • WHO ICD-11 Defines burnout as chronic, unmanaged workplace stress with three dimensions: exhaustion, mental distance from the job, and reduced efficacy.7
  • Copenhagen Burnout Inventory Separates personal, work-related, and client-related exhaustion into distinct, trackable subscales.9
  • Fatigue Severity Scale A short, widely used self-report scale for how fatigue interferes with motivation, physical function, and daily work.10

The science

Fatigue changes how you sound before you notice how you feel.

Speech is a motor task controlled by the same nervous system that governs stress and recovery. Decades of acoustic research link measurable, involuntary changes in voice to fatigue, cognitive load, and chronic stress.

Pitch & intonation

Pitch moves in both directions, and both are meaningful

Acute stress and cognitive load tend to raise pitch and intensity, while chronic fatigue flattens pitch range into a more monotone delivery. A systematic review of 39 studies found prosodic features showed the strongest link to stress, negative emotion, and cognitive load of any acoustic signal measured.11

Voice quality

Jitter & shimmer

Cycle-to-cycle instability in pitch and amplitude rises measurably after sleep deprivation, alongside a softer, lower-intensity voice, in controlled acoustic studies.12

Timing

Speech rate & pausing

Pause length and speech timing are central inputs to published voice-based fatigue detection models, with one study reporting up to 94% accuracy from acoustic signal alone.13

Energy

Vocal intensity

Reduced loudness and breath support track with low arousal and depleted energy, documented directly in sleep-deprivation research on vocal parameters.12

Spectral features

Harmonic structure

Harmonics-to-noise ratio and other spectral measures shift under physiological strain, features already used in voice-based stress and cognitive load models.11

Longitudinal trend

The person as their own baseline

No voice sounds "burned out" in isolation. The signal is a trend against a person's own established pattern, call after call.

Academic validation underway

Burnout and voice, direct research in progress

A preregistered University of Verona study is testing this exact pipeline: scoring pitch, jitter, shimmer, and spectral features extracted from short speech samples against the clinically validated Oldenburg Burnout Inventory, across seven time points over a 31-day period, in students and working employees.14

Why Zoom

The data already exists. It has just never been measured.

Executives do not need a new habit to build. They need the hours they already spend on video to start working for them.

23 hrs
a week is what executives and senior leaders now spend in meetings, nearly all of it on video5
252%
growth in meeting time for managers and leaders between 2020 and 20256
0 min
of extra time required. No check-in, no survey, no new app to open

Zoom fatigue is real, and well documented

Stanford research named it. Amplifier is built to finally measure it.

Researchers at Stanford's Virtual Human Interaction Lab identified four specific drivers of video-call fatigue: excessive close-up eye contact, the cognitive load of exaggerating gestures for the camera, constant self-view, and reduced physical mobility.15 The same team then built and validated the Zoom Exhaustion & Fatigue Scale, a 15-item instrument tested on 2,724 people, to actually measure it.16

That research proved video calls carry a unique fatigue signature. Amplifier is the layer that reads it directly from the one channel every call already produces: audio.

Already a normal part of the call

Recording and transcription are no longer unusual on a Zoom call.

Call recording, AI note-taking, and transcript generation are now standard features on most executive calendars, Otter.ai alone has transcribed more than a billion meetings.17 Amplifier extends that same, already-accepted audio pipeline into a wellness signal, with no new consent friction and no new tool to adopt.

How it works

Three steps. Zero new habits.

01

Install for Zoom

An executive or their team adds Amplifier from the Zoom App Marketplace in under a minute. No hardware, no new device, no change to how calls are run.

02

Calls proceed as normal

Amplifier runs in the background during scheduled calls, extracting vocal features in real time. Nothing about the meeting experience changes.

03

A fatigue and burnout trend line

A private dashboard shows energy, strain, and recovery trends over time, surfacing a meaningful shift long before it becomes a resignation letter or a health event.

Privacy by design

Amplifier measures how something is said. Never what was said.

The system is built to extract acoustic features only. It is not a transcription product and not a surveillance tool.

✓ Feature extraction, not transcripts

Amplifier analyzes acoustic properties of speech, pitch, timing, energy, and voice quality. It is not designed to produce or store a transcript of call content.

✓ The individual sees their own trend

Fatigue and burnout signal is reported to the individual first. Organization-level reporting is aggregate and configurable, never a single person's raw readout surfaced without their knowledge.

✓ Opt-in, every call

Participants are informed Amplifier is active on a call, consistent with how recording and transcription tools already disclose their presence today.

✓ Built on Amplifier's voice model

The same vocal biomarker technology behind Amplifier's clinical and wellness screening tools, developed and validated outside of the Zoom integration itself.

Give your calls a second job.

Add Amplifier to Zoom and start building a fatigue and burnout baseline for your leadership team today.

Sources & further reading
  1. Cerevity, 2026 High-Achiever Burnout Index. cerevity.com
  2. The health and economic burden of employee burnout to US employers, American Journal of Preventive Medicine, Vol. 68, Issue 4, April 2025. ajpmonline.org
  3. Gartner HR survey, February 2025. gartner.com
  4. Gallup, "How to Prevent Employee Burnout." gallup.com
  5. Perlow, Hadley & Eun, "Stop the Meeting Madness," Harvard Business Review, 2017. hbr.org; Microsoft 2025/2026 Work Trend Index. microsoft.com/worklab
  6. Microsoft Work Trend Index, 2025 Annual Report. microsoft.com/worklab
  7. World Health Organization, "Burn-out an occupational phenomenon," May 2019. who.int
  8. Maslach Burnout Inventory. mindgarden.com
  9. Kristensen et al., "The Copenhagen Burnout Inventory," Work & Stress, 2005. researchgate.net
  10. Krupp et al., Fatigue Severity Scale, 1989. med.upenn.edu
  11. Scherer et al., acoustic correlates of task load and stress; systematic review of 39 studies. pmc.ncbi.nlm.nih.gov
  12. "The Morning Voice: The Effect of 24 Hours of Sleep Deprivation on Vocal Parameters of Young Adults." sciencedirect.com
  13. "A rapid, non-invasive method for fatigue detection based on voice information." pubmed.ncbi.nlm.nih.gov
  14. "Developing and Validating an AI Model to Detect Burnout Risk from Vocal Biomarkers," University of Verona, OSF preregistration. osf.io
  15. Bailenson, "Nonverbal Overload: A Theoretical Argument for the Causes of Zoom Fatigue," Technology, Mind, and Behavior, 2021. vhil.stanford.edu
  16. Fauville, Luo, Queiroz, Bailenson & Hancock, "Zoom Exhaustion & Fatigue Scale," Computers in Human Behavior Reports, 2021. doi.org/10.1016/j.chbr.2021.100119
  17. Otter.ai, call transcription product materials. otter.ai