See the patterns your customers are really talking about
Conversations don't stay scattered. Synthight groups them into semantic topics so you see the shape of your customer feedback — volume, trend, sentiment, and resolution rate — without manually tagging anything.
Overview
Tags are a dead end. The moment your taxonomy changes, historical data stops being comparable. The moment a new issue emerges, nobody has a tag for it. And the moment you have more than a handful of products, your tagging guide turns into a spreadsheet nobody reads.
Topics solve this with semantic clustering. Synthight groups conversations by meaning — not by keyword — so "can't finish checkout," "payment failed at the last step," and "order didn't go through" collapse into a single, coherent topic you can actually track.
Each topic carries live metrics: how many conversations it contains, which direction it's trending, how sentiment looks inside it, and how often it gets resolved. Topics emerge, split, merge, and fade as your customer base evolves — so you always see the landscape as it is right now, not as it was when someone wrote the tagging guide.
What you get
Semantic clustering
Conversations are grouped by meaning, not by keyword matching. Synonyms, misspellings, and alternate phrasings all land in the right place.
Volume and trend
Every topic shows its current volume plus direction — rising, falling, or flat — compared to your selected baseline window.
Trending detection
Synthight flags topics that are growing abnormally fast for their baseline, so emerging issues get attention before they show up in your metrics.
Resolution rate
See what percentage of conversations in a topic end in a clear resolution vs. escalation, churn signal, or silence.
Sentiment per topic
Not all volume is bad. Topics carry their own sentiment score, so a surging topic can be a win (new launch praise) or a crisis (outage).
Alerts and subscriptions
Subscribe to topics you care about, or set threshold alerts — "wake me up when Checkout grows 20% week-over-week."
How it works
- 01
Process every conversation
Each conversation is analyzed in context so its meaning is captured beyond literal words.
- 02
Cluster continuously
Conversations are clustered continuously as they arrive. New topics form when a meaningful cluster of related conversations emerges.
- 03
Label with context
Synthight names each topic with a short, human-readable label derived from its core conversations — reviewable and editable.
- 04
Monitor and alert
Every topic is scored on volume, trend, sentiment, and resolution. Changes feed the Insights Feed and trigger subscriptions.
Built for every team
Product
See which themes dominate your roadmap signal. Compare topic volume before and after a release.
Support leaders
Allocate staffing to the topics that actually drive volume. Spot emerging incidents in minutes.
Marketing
Understand which messaging themes are resonating — and which are creating confusion.
Executives
Get a single view of what customers are talking about this quarter, backed by real evidence.
Frequently asked questions
Do I have to define topics in advance?
No. Topics emerge from your actual conversations. You can optionally pin or merge topics to match how your team already thinks, but nothing needs to be pre-configured.
What happens when a new issue appears?
Synthight detects when a cluster of related conversations starts forming and creates a new topic automatically — usually within hours of the first occurrence.
Can I merge or split topics?
Yes. Topics are fully editable. Merging, splitting, renaming, and pinning are all one-click operations and propagate to historical data.
How does trend detection work?
Synthight compares current volume to a rolling baseline, controls for seasonality, and flags statistically unusual growth — not just raw spikes.
Do topics work across languages?
Yes. Semantic clustering is language-aware, so the same topic captures conversations across all the languages your customers use.
Ready to turn conversations into clarity?
Connect your channels, and Synthight gets to work. No migration. No new workflows.