Voice-of-Customer Analyser

The Voice-of-Customer Analyser reads everything your customers tell you — reviews, support tickets, surveys, NPS responses and call notes — and turns it into clear themes, sentiment and a ranked list of what to fix next. Instead of skimming feedback by hand, you get the recurring complaints, emerging themes, feature requests and at-risk segments surfaced for you, powered by Claude.

What it does

• Ingests every channel — review sites, support tickets, survey and NPS responses, chat transcripts and call notes.
• Surfaces themes, grouping thousands of comments into the handful of issues that actually drive them.
• Scores sentiment by theme and segment, so you see what’s improving and what’s getting worse.
• Separates complaints from requests, distinguishing “this is broken” from “I wish you had this”.
• Flags at-risk segments and emerging issues before they show up in churn.

Use cases

• Product teams: rank the most-requested features by how often and how strongly customers raise them.
• Support leads: spot the recurring complaint behind a spike in tickets and fix the root cause.
• E-commerce: mine product reviews to find quality or sizing issues across the catalogue.
• Leadership: get a monthly read on what customers love, dislike and want next — without reading every comment.

Who it’s for

Small and mid-sized businesses collecting more customer feedback than anyone has time to read — in support, product, e-commerce and customer success.

What’s included

A monthly subscription from €600/mo: discovery on your feedback sources, a configured ingestion-and-analysis pipeline built on Anthropic’s Claude with senior human oversight, and an ongoing theme-and-sentiment output — dashboards and recurring reports — tailored to how you work and your channels.

Which feedback sources can it analyse?

Reviews, support tickets, survey and NPS responses, chat transcripts and call notes. We confirm the exact mix and any integrations during discovery.

How does it handle different languages?

Claude analyses feedback across many languages, so multilingual reviews and tickets are read and themed together rather than ignored.

Is our customer data used to train AI models?

No. Your feedback is analysed to produce your insights; it is not used to train foundation models.

Sitting on more feedback than you can read? Tell us your sources and we’ll scope it, or learn how we combine AI with senior human judgement on our Claude AI agency page.

Related

Part of our AI capabilities suite. New to AI for business? Read AI chatbots for small business — or pair this with Competitor Monitor and Multilingual Content Engine.