The Feel Layer
Surveys are dying. People already told you how they feel.
Survey response rates keep falling, and companies are going blind to the thing they need most: whether customers are actually satisfied. The Feel Layer deduces satisfaction from the reviews people already wrote, no survey required. Calibrated, evidence-gated, and readable across any industry.
The blind spot
The instrument companies rely on is going quiet.
Email and in-app surveys used to be how a company found out how customers felt. Response rates have collapsed for years, and the people who still answer are not a random sample: they are the most upset or the most delighted. What is left is a thin, biased signal, arriving weeks after the experience it describes.
Meanwhile customers keep writing, in far greater volume, unprompted: reviews on every marketplace, forum, and storefront. That text already contains the answer. The Feel Layer reads it and deduces the same thing a survey used to ask for directly, without asking anyone anything.
How it reads
One translation layer under every domain.
A hotel review talks about the mattress and the front desk. A game review talks about matchmaking and the grind. A mattress review talks about firmness and heat retention. The vocabulary never repeats between domains, but underneath, people are reporting the same small set of things. The Feel Layer discovers each domain’s surface language from its own review corpus, then maps every discovered dimension onto six universal primitives.
Trust
Did reality match the promise.
photos vs. the room, spec sheet vs. the device, description vs. the box that arrived
Bodily comfort
How the body actually experienced it.
sleep quality, firmness, temperature, noise, fit
Calm vs. stress
Did the experience add friction or remove it.
check-in queues, matchmaking tilt, support hold times, setup hassle
Feeling cared for
Did anyone on the other side act like your problem mattered.
staff going out of their way, a seller who fixed it, a studio that patched it
Respect for time and money
Was the exchange fair for what was actually given.
value for price, hidden fees, wasted hours, planned obsolescence
Delight vs. regret
The composite outcome affect: would they choose this again.
would stay again, would buy again, would play again, would recommend
The mapping table itself is a versioned, calibrated asset. See the method for how it is validated and how it changes.
Proof, not a pitch deck
The instrument is already running live registers.
The Feel Layer is not a concept: it is the scoring engine behind public registers you can visit today.
Read the method, or connect a corpus.
Evidence gates, calibration, and the consent terms for scoring your own reviews.