AI customer feedback & voice-of-customer analytics

Every piece of feedback is scattered.The pattern underneath it isn’t.

Tellusglint pulls feedback from reviews, support tickets and surveys into one place, clusters it into clear themes automatically, and flags the ones trending before they become a crisis.

Start analyzing feedback See how clustering works
Unstructured inputRefraction Scored themes
Reads feedback from
  • App store & review sites
  • Help desk tickets
  • NPS & CSAT surveys
  • Social mentions
  • Live chat transcripts

Why feedback goes unheard

Customers are talking constantly. Nobody is reading it all together.

01

Feedback lives in a dozen different tools no one reads together.

Reviews sit with marketing, tickets with support, survey exports with research. Each team sees a slice, so the full picture never forms.

02

Manually tagging themes doesn’t scale past a few hundred responses.

Spreadsheets of tags drift, labels mean different things to different people, and a busy week means the backlog simply goes untagged.

03

A complaint trend is only obvious after it’s already widespread.

By the time a pattern shows up in a monthly report, it has already cost refunds, churn and a wave of one-star reviews.

How Tellusglint works

One loop, from raw comment to ranked priority.

Every comment passes through the same four stages, continuously, as new feedback arrives.

  1. 01

    Collect

    Tellusglint pulls feedback from reviews, support tickets, surveys and social mentions into one stream.

    4 source types
  2. 02

    Cluster

    Feedback is automatically grouped into clear, labeled themes, with no manual tagging required.

    Themes named in plain language
  3. 03

    Score

    Each theme is scored for sentiment and tracked for volume over time.

    -1.0 to +1.0 per theme
  4. 04

    Alert

    Sudden spikes in a theme trigger an alert before it becomes a widespread issue.

    Against each theme’s own baseline

What the AI actually does

Clear about the job. Clear about the limits.

Tellusglint surfaces and scores themes. It tells you where to focus. Your team decides what to do about it.

Explore the Feedback Engine

It does

  • Aggregates feedback from connected sources into a single stream
  • Clusters feedback into themes automatically and scores sentiment per theme
  • Detects statistically unusual spikes in theme volume or sentiment shift
  • Keeps a history of every theme so you can see whether a fix actually worked

It does not

  • Reply to customers on your behalf
  • Resolve the underlying issues for you
  • Invent feedback, fill gaps or guess at missing context

The theme board

What your week looks like after the prism.

Every theme carries its volume, its sentiment and its direction, so a list of complaints becomes a ranked set of decisions.

ThemeMentionsSentiment7-day trendStatus
Checkout frictionTickets, reviews89-0.62Spiking
Pricing confusionSurveys, social142-0.31Steady
Support response timeTickets, social61-0.48Easing
Onboarding experienceSurveys, reviews57+0.71Favorable
Search performanceReviews33-0.12Watching

Illustrative board. Theme names, counts and scores come from your own connected sources.

Built for the teams who listen

Same feedback. Two different questions.

“What should we build next?”

Product Management

Rank roadmap candidates by how many customers raised them, how strongly they feel, and whether the theme is growing. Evidence you can bring to the planning meeting instead of opinion.

  • Theme volume by release and segment
  • Verbatim quotes attached to every theme
  • Before and after view once a fix ships
Product Management

“What is about to go wrong?”

Customer Experience

Catch a service issue on day one instead of week three. Report sentiment trends to leadership with numbers behind them, and close the loop with the customers who raised it.

  • Spike alerts per theme, tuned to your volume
  • Weekly sentiment digest for leadership
  • Lists of affected conversations for follow-up
Customer Experience
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Multi-source

Feedback collection across reviews, support tickets, surveys and social mentions, in one stream.

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Manual tags required

Themes are auto-clustered and named in plain language. Rename or merge them whenever you like.

0%

Trend-alerted

The kind of week-on-week jump Tellusglint flags the moment a theme breaks away from its baseline.

Try a sample analysis

Paste the noise.
Watch it refract.

Drop in a handful of real comments from a review site, a support inbox or a survey export. The prism below sorts them into themes and gives each one a sentiment read.

Start analyzing feedback How clustering works

Themes appear here once you refract some feedback.

This is a sample analysis for illustration. Connect your feedback sources for real, ongoing theme tracking.