Qualtrics XM

What people say they think and feel

Large-scale survey distribution. NLP sentiment analysis of written responses. Benchmarking. NPS and eNPS tracking. Longitudinal trend dashboards. Workflow automation and case management. The market standard for structured experience data at scale.

EchoDepth Insight

What people actually feel

Emotional AI analysis of open-text data. FACS facial coding. Real-time VAD scoring. Text-emotion divergence detection. Masked dissatisfaction identification. Genuine purchase signal separation. Board-ready insight reports with specific recommendations. Depth tool for the emotional truth beneath stated response.

How EchoDepth and Qualtrics compare

Dimension Qualtrics XM EchoDepth Insight
Primary data sourceSurvey responses: structured + open textEmotional signal: open-text VAD analysis + facial coding
What it measuresStated opinion — what participants choose to writeFelt response — the emotion beneath the written response
Text analysis methodNLP sentiment scoring of word choiceVAD emotional signal independent of word choice
Masked dissatisfactionCannot detect — invisible in linguistic analysisPrimary capability — text-emotion divergence is core output
ScaleThousands to millions of respondents20–500 respondents — depth tool, not scale tool
Culture / EXeNPS, pulse surveys, engagement trends, benchmarkingECI emotional health scoring, Trust Risk Register, pre-exit detection
Consumer researchLarge quant surveys, conjoint, MaxDiffEmotional concept testing, purchase desire vs approval separation
Pharma researchPatient / HCP structured surveysEmotional AI capture bypassing social desirability bias
Works with existing dataN/A — is the data sourceYes — ingests Qualtrics open-text exports without new surveys
DeliverableDashboard and trend reportsStructured insight report with specific prioritised recommendations
Entry investmentEnterprise annual licenceFrom £3,500 proof of concept

The structural problem Qualtrics cannot fix

Qualtrics is excellent at what it does. Its NLP engine, Text iQ, is sophisticated. Its dashboards are powerful. Its benchmarking is extensive. And none of it helps with the fundamental limitation it shares with every survey platform: it analyses words.

Words are the output of a social process. By the time a participant writes anything in response to a survey question, they have already modulated their genuine emotional experience through professional context, social expectation, recall distortion, and the articulation gap — the inability to accurately translate felt emotion into language. Qualtrics Text iQ produces excellent analysis of the words that result from this process. It cannot access the emotional state that preceded it.

This is why Qualtrics culture surveys look stable before resignations occur. This is why Qualtrics concept tests produce positive scores for products that fail at launch. This is why HCP and patient research conducted through Qualtrics systematically underestimates negative affect. The survey is working correctly. The methodology cannot reach the signal that would change the decision.

What EchoDepth adds to a Qualtrics programme

The most effective research and people analytics programmes use Qualtrics for scale and EchoDepth for depth. They are not alternatives — they answer different questions from the same population.

Culture & EX

What your Qualtrics pulse tells you vs what your people feel

EchoDepth applies emotional AI analysis to your Qualtrics open-text exports — detecting text-emotion divergence, masked dissatisfaction, and the pre-exit emotional pattern that engagement scores consistently miss. You run your existing Qualtrics survey. We supply the emotional intelligence layer on top of your data.

Consumer research

What your Qualtrics concept test cannot tell you

Qualtrics concept tests produce purchase intent scores. EchoDepth captures genuine purchase desire at first exposure — the involuntary facial response before any verbal processing. The combination shows which concepts have real commercial potential vs which are "interesting but wouldn't buy."

Pharma research

Beneath the Qualtrics patient response

Qualtrics patient and HCP surveys capture professionally composed responses. EchoDepth captures the emotional response that precedes them — in individual remote interviews without the social pressure that makes pharma qual data systematically unreliable.

Using EchoDepth with your existing Qualtrics data

If you already run Qualtrics surveys — for employee experience, consumer research, or pharma — the proof of concept is straightforward. You send us the anonymised open-text responses from your most recent survey cycle. We apply the EchoDepth emotional AI analysis layer and return a text-emotion divergence report within five working days.

No new surveys. No participant burden. No platform integration required at the proof-of-concept stage. The report will show you which teams, themes, or respondent groups are showing the largest gap between what they write and what the emotional signal beneath the text suggests they actually feel. That gap is exactly what your Qualtrics dashboard cannot show you — and what typically predicts the outcomes your current data misses.

Client perspective

"Using EchoDepth from Cavefish allows us to validate ideas quickly, minimising the risk of launching a product or idea."
GT

Gethin Thomas

CEO, Iterate

Common questions about EchoDepth and Qualtrics

Is EchoDepth a Qualtrics alternative?
EchoDepth is not a Qualtrics replacement. Qualtrics provides large-scale survey distribution, NPS tracking, longitudinal benchmarking, and workflow automation that EchoDepth does not replicate. EchoDepth is a depth tool — it adds the emotional intelligence layer that Qualtrics is structurally unable to provide. The most effective programmes use both: Qualtrics for scale and trend data, EchoDepth for the emotional truth beneath the stated response.
Can EchoDepth work with my existing Qualtrics survey data?
Yes. EchoDepth can ingest anonymised open-text exports from Qualtrics surveys — for both employee experience and consumer research — and apply emotional AI analysis without any additional participant burden. You run your Qualtrics survey as normal. You export the open-text responses. EchoDepth returns a text-emotion divergence report within five working days.
Why does my Qualtrics culture survey miss retention risk?
Qualtrics measures what employees choose to write. Employees approaching disengagement or exit write neutrally — not negatively — because they are managing their professional presentation in the survey. This masked dissatisfaction is invisible to any NLP engine operating on word choice, regardless of sophistication. EchoDepth detects it by scoring the emotional signal beneath the text, independent of the words themselves.
How does EchoDepth improve Qualtrics concept test results?
Qualtrics concept tests produce purchase intent scores — stated intention to buy. EchoDepth captures genuine purchase desire at first concept exposure — the involuntary physiological response before any verbal processing occurs. Concepts that score well on Qualtrics intent but show low-arousal VAD responses on EchoDepth are the ones that generate approval in research but fail at launch. The combination makes the prediction far more reliable.
What does a Qualtrics + EchoDepth programme look like in practice?
For culture and employee experience: you run your existing Qualtrics survey cadence unchanged. After each cycle, you export the open-text responses and send them to EchoDepth. Within five working days you receive an emotional AI analysis layer — ECI scoring, text-emotion divergence by team and theme, and a board-ready report — that sits alongside your existing Qualtrics dashboard. For consumer research: Qualtrics handles scale quant; EchoDepth runs individual remote emotional capture sessions on the same concept or product set, producing the emotional ranking that the survey cannot provide.

EchoDepth Insight

Find out what your Qualtrics data is not telling you.

Send us your most recent Qualtrics open-text export. We will show you what the emotional AI layer surfaces — text-emotion divergence, masked dissatisfaction, and the signal beneath the stated response — within five working days.