Real estate

Every enquiry call graded on the details that turn into viewings.

A property enquiry is a slot-capture problem: budget, area, bedrooms, move-in date, a viewing time and a callback number. VoiceLens ships a real-estate rubric that scores each of them and flags the moments where a corrected detail did not stick.

Free to start · Works with any call platform · Same rubric for bots and people

How VoiceLens helps

From transcript to a scorecard your team acts on.

A rubric built for enquiries

The built-in real-estate template already lists the slots to capture and the questions to ask; adjust it to your listings and start grading.

Corrections tracked to the turn

Slot capture scores how many details were volunteered, asked for or corrected, and a missed correction is a fault with a timestamp.

Same scorecard for bot and desk

Compare your AI receptionist with your office team on identical criteria and route the enquiries that need a human follow-up.

Fault detection

What VoiceLens catches on these calls

Every fault is timestamped and pinned to the transcript turn it came from, for AI and human agents alike.

  • Missed correction

    The caller corrects a detail and the agent keeps the old one.

  • Customer had to prompt

    The caller has to nudge the agent to continue or respond.

  • Dead air

    Silence long enough for the caller to wonder if anyone is there.

  • Question repetition

    The agent asks for something the caller already gave.

See what your QA process has been missing.

Create a workspace, drop in a recording or a transcript, and read the first scorecard in minutes.