Theme Clustering
Different words. Same problem. One theme.
Customers never describe an issue the same way twice. The clustering engine groups comments by what they mean, then names each group in plain language, so a thousand comments become a short list of things to look at.
How it works, at a high level
Meaning first, keywords second.
Read for meaning
Each comment is converted into a representation of what it is about, so "coupon box vanished" and "promo field missing" land close together.
Group neighbours
Comments that sit close in meaning are grouped. Groups that are too loose are split, near-identical ones are merged.
Name the theme
Each group gets a short, human label drawn from the language customers used, not an internal code.
Keep it stable
New comments join existing themes where they fit, so a theme keeps its name and history week after week.
Sample cluster breakdown
Themes with structure inside them.
Large themes break down into sub-themes, so you can see which exact part of checkout or pricing is causing the noise.
"Coupon box vanished once I hit pay"
"Had to re-enter my address three times"
"What does Pro get me over Basic?"
"Why is the total higher at the end?"
Illustrative breakdown. Your themes are built from your own feedback.
Your taxonomy, your call
Automatic by default. Editable always.
The engine proposes themes. Your team shapes them into the vocabulary you already use in planning and reporting.
Merge
Fold two themes that mean the same thing to your team into one.
Split
Break a broad theme into sharper pieces when it hides several issues.
Rename
Swap a generated label for the one your roadmap already uses.
Pin
Lock a theme you always want tracked, even in quiet weeks.
Honest about accuracy
Where clustering needs a human eye.
- Very short comments such as “meh” or “ok” carry little meaning and are held as unclustered rather than forced into a theme.
- Sarcasm and in-jokes can be misread. Every theme links back to its comments so you can check what sits inside.
- Brand new issues start as a small cluster and grow. The engine flags fast-growing small themes so they do not hide under larger ones.
Stop tagging. Start reading themes.
Connect your first source and see this week's themes resolve out of the noise.