Your customers speak. Hear what they say.
PERCEPT PULSE
Percept Pulse needed to turn a universal, low-effort customer reaction (an emoji tap, or a few spoken words) into structured, actionable sentiment data, across every branch and every language, without asking a customer to fill out a survey they'll never finish.
The AI pipeline is what earns the product its name: a voice recording is transcribed, language-detected, translated to English, and classified into a five-point sentiment scale (angry to excited) before the tenant's dashboard ever shows the result. Every response is tagged to a branch and a staff member at the point of submission, so the live dashboard can roll sentiment up by location or by person without a separate analytics step.
Voice as a first-class input
Speech is transcribed, auto-translated, and sentiment-classified in one pipeline, so a customer can speak in Urdu or French and the manager reading the dashboard sees an English summary and a sentiment score, not a language they need to translate themselves.
Emoji-first, five-point scale
The primary interaction is a five-emoji tap (angry to excited) that takes under three seconds, deliberately not a text survey, because response rate, not survey depth, was the metric that mattered for a device sitting on a counter.
Branch and staff attribution from day one
Every piece of feedback carries a location and staff-member tag from the moment it's submitted, so leaderboards and per-location trends are a query, not a manual reconciliation.
Installable, offline, and never silent
Both the manager dashboard and the staff portal install like a native app with no app-store step, keep working when a connection drops, and push an instant notification the moment angry or sad feedback comes in, even with the app closed.
Businesses get a live, language-agnostic read on customer sentiment per branch and per staff member, from a device that takes a customer under five seconds to use, with negative feedback pushed to a manager's device in real time instead of surfacing in a monthly report nobody reads in time to act on it.
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