Know what to build.
Not just what they're saying.
Customer feedback is scattered across a dozen tools. Sylvia unifies every signal, finds the patterns that matter, and tells you what to build next — backed by evidence, not guesswork.
Works with the tools your teams already use
How Sylvia works
From scattered feedback to confident product decisions.
Bring your signals in
Upload CSVs, paste call transcripts, or let customers submit directly through your feedback portal. Every piece of feedback becomes a signal — tagged, timestamped, and traceable to its source.
Teach Sylvia your product
Add your features, customer segments, and anti-personas over time. Sylvia uses this context to interpret signals intelligently — not just count mentions.
See what actually matters
Sylvia clusters signals into themes, ranks them by volume, recency, velocity, and source diversity. You open the dashboard and immediately see what customers care about most — right now.
Drill into the evidence
Click any theme to see every underlying signal, who said it, when, and where it came from. Every recommendation is traceable back to real customer voice.
Login reliability issues
147 signals · 3 sources · mostly negative
Customer Signals
“Can't log in on mobile since the last update”
“Authentication broken on Android 14”
Collect feedback directly
Set up a hosted feedback portal — public or private. Customers vote and submit ideas. Everything feeds the same intelligence layer, weighted alongside your other sources.
Need bulk export
We export reports weekly — the one-by-one flow is painful.
Dark mode support
Working late and the white screen is blinding.
SSO for enterprise
Our IT team requires SAML before we can roll out.
Act on what you learn
Coming soon: push decisions to Linear, Jira, or Slack. Give your AI coding agents the context they need via MCP. The full loop — from signal to shipped code — is where Sylvia is headed.
Coming Soon
Actions & Integrations
From customer signal → to shipped code. The full loop.
Stop guessing
what to build.
Upload your feedback, see the themes that matter, and make product decisions backed by evidence — not instinct.