Describe the experience
Name the study, say which journey you want examined — onboarding, checkout, a first visit — and add up to five questions you want explored. Two minutes, no account.
AN EXSIENT PRODUCT · CUSTOMER SENTIMENT INTELLIGENCE
afterwords.
Hear what customers won't tell you.
Surveys get answers to your questions. Interviews get the truth — but nobody has time to run thirty of them. So Exie runs them: one share link, and our AI moderator interviews each customer personally — one question at a time, following up on what they actually say.
You get themes backed by verbatim quotes, sentiment, and an Experience Signal Score — scored against the five principles every ExSient diagnosis uses.
Share one link
Send the interview link to your customers however you like — email, WhatsApp, a QR at the counter. Exie interviews each one personally: one question at a time, following up on what they actually say. They answer by voice or keyboard — or take it as a fully spoken conversation, in any language. Speech becomes text on their device, and only the words are kept.
Read the signal
Your private dashboard turns the transcripts into themes with verbatim quotes, sentiment, an emotion arc across the interview, and an Experience Signal Score — where the journey holds, and where it quietly breaks.
WHAT YOUR DASHBOARD LOOKS LIKE
EXPERIENCE SIGNAL SCORE
0.0Good/ 10 · 12 interviews
LowFairGoodVery goodExcellent
SCORED AGAINST THE FIVE PRINCIPLES
Friction
6.2
Metrics
7.1
Handoffs
5.4
Mental models
7.4
Trust
7.9
SENTIMENT
Positive58%
Negative23%
EMOTION ARC
frustrationbookinguncertaintythe waitreliefwalking out
People tell an AI more
No social pressure, no pleasing the interviewer, no judgment. Respondents type what they'd never say to your face — especially the negative half you need.
It listens, not just asks
Exie follows the respondent's actual words — probing surprises, workarounds, and hesitations the way a good researcher would. A survey can't do that.
Quotes, never summaries alone
Every theme is evidenced by verbatim quotes pulled from the transcripts. You read what customers said, not what an algorithm thinks they meant.