Signal pulls customer voice from Slack, HubSpot, surveys, and email. AI clusters it into themes, surfaces emerging issues, and routes the right work to engineering — so your team prioritizes from signal, not opinion.
Power users on iOS and Android report crashes when opening boards with more than ~500 items.
“App crashes every time I open our product roadmap board on my iPhone. This board has ~800 items.”
Your customers tell you, every day, exactly what to build next. They tell you in Slack, in support tickets, in NPS comments, in sales calls. But there's no systematic way to detect emerging issues before they become crises, quantify how widespread a complaint actually is, or close the loop with the customers who told you in the first place.
Every AI classification — sentiment, theme, severity, RICE — is editable. AI does the clustering at scale. PMs make the decisions that matter.
Within 30 seconds of intake: sentiment, theme tags, severity, and bug detection. AI tags are visually distinct from manual ones until a PM confirms them.
Single-key shortcuts in the Triage Queue. Confirm, flag as bug, mark noise, create opportunity — all without lifting your hands. Burn through a day of feedback in minutes.
AI suggests Reach, Impact, Confidence. You set Effort. Every score editable in any view — Kanban card, detail page, or spreadsheet table. Sort by any dimension.
Flag-as-bug opens a modal with an AI-drafted Jira ticket — title, repro steps, severity, project. Bugs skip the opportunity lifecycle so they don't get stuck in product discovery.
When you ship a fix, Signal watches the theme for 60 days. New feedback lands as post-ship signal — you'll know within minutes if the fix didn't actually solve the problem.
When a feature ships, Signal generates a digest of every customer who reported the underlying issue. Push to Slack so CX can follow up personally — the single highest-leverage feature for closing the feedback loop.
Slack reactions, HubSpot tickets, NPS verbatims, manual entry. Signal pulls every channel.
AI groups related feedback into themes within 30 seconds. Severity, sentiment, and a bug flag, all editable.
PMs review in keyboard-first triage. Confirm AI tags, create opportunities, route bugs to engineering.
Push prioritized opportunities to Jira. Watch Mode flags regressions. Loop-close notifies the customers who reported it.
AI clusters the weekend's feedback before you sit down. Triage takes minutes — not the morning.
Severity, reach, impact, and the customer count for every theme. The case for each bet is already on the card.
When a fix ships, the people who reported it get a note — not next quarter, the same day.
Open the demo — every page is wired, the data is realistic, the flows are honest about what's stubbed.