From review to ticket
in 60 seconds.

FountainData bridges the gap between raw user sentiment and actionable product development using semantic intelligence.

01IngestConnect App Store & Play Store02ClusterLLM-powered semantic grouping03PrioritizeEvidence-based scoring04ActSync to Jira or Linear05Close the LoopMonitor sentiment shiftFrom raw user feedback to actionable product intelligence
The Workflow

A continuous cycle of intelligence.

Stop manually reading every review. Let our semantic engine surface what actually matters to your bottom line.

01

Ingest

Connect your App Store and Google Play Store accounts in one click. We pull historical data and stream new reviews the moment they land.

APP STORE
PLAY STORE
02

Cluster

Our LLM-powered engine performs semantic grouping. Instead of "Fix login" and "Login broken", you see one "Auth Failure" cluster with 42 affected users.

SEMANTIC MAPPING ACTIVE
03

Prioritize

We assign an Evidence-based Score to every cluster. By cross-referencing sentiment intensity and volume, we tell you which fix will improve your rating fastest.

04

Act

Sync directly with Jira or Linear. Clusters become tickets with full context, including original review snippets and suggested priority.

SYNCED TO JIRAPRIORITY: P0
05

Close the Loop

Audit trails show exactly which decision was made and why. When the fix is live, FountainData monitors for a sentiment shift in that specific cluster.

Semantic Clustering

AI that understands context. It groups feedback not just by keywords, but by the underlying intent and emotional tone of the user.

Regression Detection

Identify when a specific feature's sentiment takes a dive after a release. Catch bugs before they impact your overall store rating.

Churn Signal Detection

Automated alerts for high-value users expressing frustration. Predict churn patterns before users actually delete your application.

Ready to turn insights
into roadmap items?

Join 200+ product teams who use FountainData to listen to their users at scale.