Post-service feedback collected by phone at full coverage, with sentiment triaged before it becomes a public one-star review.
Almost nobody responds to a feedback email. Businesses that depend on their public rating end up hearing from two groups only — the delighted and the furious — and learn nothing from the large silent middle where most of the churn actually hides.
Chasing reviews manually does not scale either. Asking staff to phone every customer costs hours nobody has, and the call quality varies with whoever happens to make it.
There is also a timing problem. Feedback is most accurate within a day of the service and least accurate a fortnight later, which is exactly when a human team gets round to it.
The agent places its call shortly after the job completes, order ships or appointment ends — reading the trigger straight from the CRM or booking system so the conversation lands while the experience is still fresh.
Rather than reading a rigid survey script, the agent asks open questions, listens, and follows up on what the customer actually said. Callers can interrupt, digress and answer in their own words.
Sentiment is classified during the call. Satisfied customers are offered a direct path to leave a public review — SMS link sent while still on the phone. Unhappy customers are never pushed to review; the call routes to recovery and raises a ticket instead.
Every call is transcribed and analysed, so recurring complaints surface as themes across hundreds of conversations rather than sitting unread in individual survey responses.
It rings every patient after their appointment and scores sentiment live. Happy ones get a review link mid-call; unhappy ones go to service recovery.
Review link sent by SMS while still on the call.
Routed to a coordinator. No review request, ever.
Outbound voice agents triggered automatically by CRM, booking or order-completion events.
Natural conversational feedback collection with barge-in, follow-up questions and multilingual speech recognition.
Live sentiment classification that branches the call: review invitation for satisfied customers, service recovery for dissatisfied ones.
SMS review links delivered mid-call to the platform that matters — Google, Trustpilot or an app store.
Full transcription with theme and trend analytics across the whole call corpus.
Human escalation with the conversation context already gathered.
Every customer called, not just the ones who open email
Feedback captured while the experience is still fresh
Public review requests directed only at satisfied customers
Dissatisfied customers routed to recovery before they post
Recurring themes visible across hundreds of calls
Voice agents for appointment booking, rescheduling and cancellation
Natural-sounding voice agents that handle transactional calls end to end, with call-centre analytics behind them.
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