Platform comparison
EchoDepth vs Culture Amp — what the gap between your scores and your retention rate is telling you.
Culture Amp measures stated employee sentiment. EchoDepth measures felt sentiment — the emotional signal beneath what employees write. The gap between the two is where retention risk lives, and where all survey-based platforms, including Culture Amp, Glint and Peakon, are structurally blind.
By Jonathan Prescott, Cavefish Ltd · Published April 2026
The situation that brings most HR leaders here
Your Culture Amp score is 7.1. Three people from your strongest team hand in their notice next month.
The survey gave you no warning because it measured what employees were willing to write — not what they actually felt. Culture Amp, Glint, Peakon and every other survey platform share this structural limitation. It is not a product failure. It is the fundamental constraint of asking people to describe how they feel in a professional context.
| What it measures | Culture Amp (and Glint, Peakon, Qualtrics) | EchoDepth Insight |
|---|---|---|
| Primary data source | Structured survey responses and open-text comments | Emotional signal from open-text responses + optional facial coding sessions |
| What it captures | Stated sentiment — what employees choose to write | Felt sentiment — the emotion beneath the written response |
| Text analysis | NLP sentiment scoring of written words | VAD (Valence, Arousal, Dominance) emotional signal independent of word choice |
| Masked dissatisfaction | Cannot detect — invisible in word-level analysis | Primary capability — text-emotion divergence is core output |
| Retention early warning | Trend monitoring over time — warns late | Emotional risk scoring identifies pre-exit condition before it becomes visible |
| Benchmarking | Extensive — industry and role benchmarks | Internal — ECI score against prior periods |
| Board reporting | Dashboard and trend reports | Structured board-ready culture health report with prioritised recommendations |
| Works with existing data | N/A — is the data source | Yes — can ingest Culture Amp exports without additional participant burden |
| Investment | Per-employee per-year subscription | From £3,500 (proof of concept on existing survey data) |
Why Culture Amp cannot detect masked dissatisfaction
Culture Amp and equivalent platforms — Glint (Microsoft Viva), Peakon (Workday), Qualtrics Employee XM — operate on written language. Their NLP and sentiment analysis layers score what employees write. This is valuable data, but it has a structural ceiling.
Employees experiencing early disengagement, quiet quitting or pre-exit emotional withdrawal do not write strongly negative survey responses. They write neutrally: professionally managed language that neither triggers concern nor generates positive signal. They have learned — from experience — that survey responses persist on record and shape how they are perceived by management. The result is a systematic underrepresentation of negative emotional experience in survey data.
EchoDepth detects this masked dissatisfaction because it measures the emotional signal independently of the words chosen. When a response is written positively but the underlying emotional state is negative, the VAD scoring of the text will diverge from the surface sentiment of the language. This text-emotion divergence — a pattern invisible to all word-based analysis — is the primary signal that a team member is emotionally withdrawing before their behaviour makes it visible.
EchoDepth does not replace Culture Amp — it adds the layer surveys cannot
Culture Amp provides things EchoDepth does not: benchmarking against industry norms, longitudinal pulse tracking, manager dashboards, onboarding and exit feedback flows, 360-degree feedback tools, and large-scale quantitative engagement measurement. For the breadth of your people analytics programme, Culture Amp or an equivalent platform remains essential.
EchoDepth adds a single capability that no survey platform can provide: the emotional intelligence layer on top of the data you already collect. You run your Culture Amp survey as normal. You export the open-text responses. EchoDepth scores them for emotional signal and returns a text-emotion divergence analysis, an Employee Culture Index (ECI) score, and a board-ready report identifying the specific teams and themes where the gap between stated and felt experience is widest.
The engagement model is straightforward: send us the anonymised open-text data from your most recent survey. We apply the EchoDepth emotional analysis layer and deliver a structured report within five working days. No new surveys, no participant burden, no change to your existing methodology.
The ECI — what Culture Amp's engagement score cannot tell you
Culture Amp produces engagement scores and eNPS ratings — both based on stated response. EchoDepth produces the Employee Culture Index (ECI): a composite emotional health score derived from VAD analysis of open-text responses. The ECI captures the emotional dimension of the workforce that engagement surveys cannot reach.
A healthy organisation typically shows a negative-to-positive valence ratio below 1.2:1. Ratios between 1.2:1 and 1.5:1 indicate structural friction. Above 1.5:1 signals systemic strain with elevated voluntary turnover risk within 12 months. A ratio of 1.8:1 or above — the pre-exit condition — represents a workforce that is functionally performing but emotionally exhausted. This signal cannot be detected by any platform that analyses only what employees choose to write.
The practical workflow
Run your Culture Amp survey as normal
Export anonymised open-text responses and send to EchoDepth
EchoDepth applies VAD emotional analysis — 5 working days
Receive board-ready report: ECI score, divergence map, recommendations
Common questions
Related insight
Why your culture survey score doesn't predict what's coming next
The masked dissatisfaction mechanism explained in full — why engagement scores look stable before resignations arrive.
Read →EchoDepth for culture
Find out what your Culture Amp data is not telling you.
Send us your most recent survey open-text export. We will show you what the emotional AI layer surfaces — including whether masked dissatisfaction is present, where it sits, and what it predicts.