AI employee · Customer voice

Professor

Your customer voice librarian. Hears every call, reads every chat, and tells you what your customers are actually saying.

The job

Your customers are talking. Most of it never makes the room.

Reviews on the site. Complaints in support tickets. Comments on Instagram. A thousand WhatsApp messages. Return reasons buried in the CRM. And the call your CX agent took yesterday in a language nobody on the leadership team speaks.

The signal is everywhere. By the time the team gets to the next meeting, it has been filtered through one person's memory of one bad week.

The customer voice should be the loudest voice in the room. Not the hardest one to hear.

What she does

Captures every conversation. In every language.

An end-to-end customer voice library. She takes the inputs, transcribes them, tags them, and makes them queryable for anyone on the team.

Calls, transcribed

Every customer call auto-transcribed in the original language and translated. Searchable line by line.

Text, everywhere

Reviews, chats, DMs, complaints, return reasons. Pulled in continuously, tagged automatically.

The library

One place where every customer voice sits. Tagged by topic, sentiment, product, channel, market.

Query, anything

"What are people saying about the new pricing?" Answer in seconds, with the quotes.

This week's signal

The five things customers keep repeating. New objections after the price change. Product details people keep getting wrong.

Where she works

Wherever your customers actually talk.

Connected to every channel a customer touches. Examples below — she adapts to your stack.

Customer support calls Shopify reviews Trustpilot / G2 / others Instagram / Facebook DMs WhatsApp Business Intercom / Zendesk / Freshdesk Return reasons Survey responses + more

Examples, not limits. If a customer reached you there, she's there.

Honest by design

What Professor won't do.

Hear your customers in full.

A 15-minute conversation. We'll show you what your customers have been saying that the team hasn't heard yet.

Talk to us