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

Extracted clues stay attached to feedback records

Use public review clues for reputation investigation and private feedback clues when a customer conversation is possible.

Entity extraction screen with named clues from review text.

Entity extraction screen with named clues from review text.

Workflow

Public review text can surface named clues

Staff names, places, rooms, menu items, and service details stay connected to the source review.

Private feedback inbox with customer context.

Private feedback inbox with customer context.

Evidence

Private feedback keeps follow-up context close

When a customer shares details privately, managers can keep the clue near the rating, status, and contact context.

Aspect analysis screen with grouped feedback themes.

Aspect analysis screen with grouped feedback themes.

Outcome

Related clues can become operating themes

Use aspect analysis when repeated named details point to a broader service or experience issue.

What entity extraction is for

Entity extraction finds the concrete details inside customer language. It helps operators move from “someone complained” to the exact person, place, item, or context mentioned.

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