Features

Pull named clues out of customer feedback

Extract useful names, places, teams, items, and experience details from public reviews and private feedback while keeping the source visible.

Turn vague text into specific clues managers can investigate.

Product preview

Common words stay tied to the filtered reviews

Use the word map for repeated language. Follow a specific name or room back to the source review.

Word map of common words from positive and negative reviews.

Word map of common words from positive and negative reviews.

The word map shows what guests keep repeating

Filter the connected sources, then see the most common words from positive and negative reviews.

What entity extraction is for

Named clues and the word map turn vague complaints into things a manager can check: a room, a dish, a desk, or a phrase guests keep using. The word map shows common words from positive and negative reviews for the filtered sources.

Extraction does not invent names. It only surfaces wording already in the feedback. Private notes often carry the most specific detail, with consent still on the record if a conversation is possible.

Use a repeated word as the start of an investigation, then open the source reviews behind it.

What managers can act on

Incident detail

Identify the named clue that makes a complaint investigable.

Repeated mention

See if the same item, place, or team appears across feedback.

Follow-up context

Use private feedback contact and consent when the customer can clarify the issue.

Frequently asked questions

Pull named clues out of customer feedback

Turn vague text into specific clues managers can investigate.

  • Named detail extraction
  • Source-specific feedback
  • Operator handoff