PEOPLE & INSIGHT
Hear every customer
Surveys collect scores; conversations collect reasons. The worker interviews your customers, churned, loyal, and brand new, in real dialogues that go three questions deeper than any form, at whatever volume you need.
Built for:
You have the scores. You are missing the sentences.
Voice-of-customer lives in an NPS number and a survey with a twelve percent response rate. Churn interviews happen only for the accounts big enough to embarrass someone. The reasons behind the numbers, why they left, why they stayed, what nearly stopped the deal, remain educated guesses.
Real research conversations answer all of it, and at human cost they are unaffordable at scale. So they are not run, and roadmaps get built on proxies.
Before: the human bottleneck
Voice-of-customer lives in NPS scores and 12 percent survey response rates. Churn interviews happen for the accounts big enough to embarrass someone, and the reasons behind the numbers stay guesses. Real research conversations are too expensive to run at scale, so they are not run.
With an AI worker
The worker calls or meets customers for structured interviews: churn debriefs, onboarding check-ins, win-loss reviews, and NPS follow-ups that ask why. Every conversation becomes a memo; every batch becomes a themed summary. You get qualitative depth at quantitative volume, continuously.
Qualitative depth at quantitative volume
The worker interviews your customers in real dialogues on the channels they prefer: churn debriefs while the reasons are fresh, win-loss reviews against a consistent framework, NPS follow-ups that ask why and then ask why again. A genuine two-way conversation, transparent about being an AI, routinely out-responds a static form.
Every conversation becomes a memo; every batch becomes a themed synthesis: the recurring reasons, verbatim highlights, and the outliers worth a human call. Continuous, comparable, and finally at the volume your decisions deserve.
How it works
- 1
Choose the program: churn, win-loss, NPS follow-up, or custom research.
- 2
The worker interviews customers on the channels they prefer.
- 3
You receive per-conversation memos and batch-level themes you can act on.
Where it runs. What it connects.
Integrations
The systems it reads and updates while the conversation happens.
Priced against the work, not the software.
An AI notetaker costs 20 dollars a month because it leaves the work on your desk. A worker is priced against the work it takes off it, and you can prove that before you spend anything.
Step 2 · Prove it solo
Delegate Solo, $99/month. One worker on your own workflow until the value is not a promise.
See SoloStep 3 · Scale what worked
Delegate Seat From $749/month, plus usage: Outbound calling usage.
One churn reason found and fixed out-earns the whole program.
Compare plansPick the ten customers you most wish you understood, and let the worker go ask them.
FAQ
Will customers actually talk to an AI?
Response rates on a genuine two-way conversation routinely beat static surveys, and the worker is always transparent about what it is.
What do we get out of a batch of interviews?
Individual memos per conversation plus a themed synthesis: the recurring reasons, verbatim highlights, and outliers worth a human follow-up.
Can it run win-loss reviews?
Yes. Fresh wins and losses get interviewed while memory is sharp, against a consistent framework, so patterns emerge instead of anecdotes.
Where teams go next
All solutionsTeams that fix this usually fix these next.