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VOICE INTELLIGENCE

Voice is the most unfiltered signal —
We make it machine-readable

Every business conversation carries intelligence that conventional analytics never captures: a complaint lodged over the phone, a hesitation before a purchase decision, a recurring question that signals a product gap. These signals vanish the moment the call ends — unless they are captured, transcribed, and processed into structured data.

INTELLIGENCE PIPELINE

01

Voice Capture

An AI agent answers and records customer calls in real time.

02

Transcription

Spoken language is converted to a structured text corpus.

03

Signal Extraction

Sentiment tagging, keyword clustering, intent classification.

04

Intelligence Output

Sentiment and dominant-emotion scores, churn flags, satisfaction indicators — the same metrics as our social listening line.

SPOKEN CONVERSATION 對話 SCORED SIGNAL 量化訊號
FIG. V-01 — VOICE TO SIGNAL

The result: a new data layer that complements digital scraping with the unscripted voice of the customer.

APPLICATIONS

CHURN

Voice-derived churn early warning

Dissatisfaction, cancellation intent, and friction language identified before they surface in revenue data — feeding directly into HKM's Retention Health Score.

PRODUCT

Customer voice as product signal

Recurring complaints, unresolved questions, and repeated feature requests extracted from transcripts become structured product development inputs.

SENTIMENT

Real-time sentiment monitoring

Spoken tone, emotional register, and language intensity scored and trended — complementing platform sentiment with the unfiltered register of direct conversation.

L3

Decision Intelligence integration

Voice transcripts fed into HKM's Decision Intelligence Brief alongside CRM, P&L, and social data — the most complete customer picture available to a Hong Kong SME operator.

WHY IT MATTERS

Solicited signal —
Higher intent by design

Voice data is structurally different from social data in one critical respect: it is solicited. A customer calling your business has already decided to engage — the signal is higher in intent than anything gathered from a public platform. Voice Intelligence brings this layer into the same analytical framework as our qualitative data mining engine, producing a unified intelligence picture across digital, social, and spoken channels.

Add the Voice Layer

See it running

A scoped demonstration on your use case, or a quotation for a pilot deployment

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