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Custom AI apps, agents and automation — Roundly ConsultingRoundly
Category: Customer supportUse case: Voice-of-customer analyticsFor: CX & product managers

Complaint & feedback analysis agent

Complaints, reviews and NPS comments from every channel are clustered into ranked themes with verbatim evidence and trend movement. The team sees what actually drives dissatisfaction — and whether last quarter's fix worked.

What it solves

01

Feedback nobody reads

Thousands of comments become ten themes with evidence.

02

Anecdote-driven priorities

The loudest complaint stops outranking the most common one.

03

Invisible progress

Theme trends show whether fixes actually moved the needle.

How it works

  1. 01

    Collect

    Reviews, surveys, tickets and social mentions flow in from every channel.

  2. 02

    Cluster

    Comments group into themes, ranked by volume and severity.

  3. 03

    Evidence

    Every theme links to the verbatim quotes behind it.

  4. 04

    Track

    Theme trends update weekly — improvements and regressions are visible.

Before & after

Without it

  • Feedback scattered across five channels
  • Themes decided by whoever read last
  • Loud anecdotes drive the roadmap
  • No way to tell if a fix worked

With it

  • All channels in one ranked view
  • Themes backed by verbatim evidence
  • Priorities driven by volume and severity
  • Fix impact visible in the trend lines

Your process could be next.

Tell us what eats your team's time — we'll show you what an AI prototype could do about it.