00:06
Agent: Hi, thanks for calling Northstar Solutions. How can I help today?
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Example Output
Example AI Call Analysis
See how VOCAL transforms a real customer conversation into transcript evidence, signal detection, KPI output, and actionable follow-up guidance.
Sample / Demo Call Audio
Sample / demo call
Demo audio for this walkthrough is intentionally deferred and will be added in a follow-up update. The transcript, signals, KPI output, and recommendations below show the expected analysis format.
Transcript Segments
Timestamped transcript segments provide evidence context for each extracted signal and recommendation.
00:14
Customer: I am evaluating options, but your monthly price looks higher than a competitor.
00:29
Agent: That is helpful context. Can I walk through what is included and where teams usually see ROI?
01:12
Customer: Yes, if I can get budget approval this week, we would like to move quickly.
02:21
Agent: Great. I will send the pricing breakdown and two rollout options after this call.
03:48
Customer: Perfect. Let's schedule a demo for Thursday so I can bring in my operations lead.
AI Insights Summary
Customer sentiment
Neutral -> Positive
Objection detected
Pricing concern
Buying signal
Budget approval language
Recommended action
Send proposal + schedule demo
Signal Detection
VOCAL tags conversational events into reusable signal categories for coaching, deal review, and workflow automation.
Buying Intent
Detected from forward-looking language around budget approval and demo scheduling.
Price Objection
Triggered by explicit competitor price comparison in the opening minute.
Competitor Mention
Captured when the customer references alternative options during evaluation.
Customer Confusion
Low-level confusion signal appears before pricing breakdown is clarified.
KPI Summary
| KPI | Example Value | How It Is Calculated | Why It Matters |
|---|---|---|---|
| Talk-to-listen ratio | 47% agent speaking | Agent speaking seconds / (Agent speaking + customer speaking seconds). | Indicates call balance and discovery quality. |
| Sentiment score | +0.34 net sentiment shift | Weighted sentiment of closing phase minus weighted sentiment of opening phase. | Shows whether call trajectory improved or deteriorated. |
| Objection count | 2 objections (price, timing) | Count of categorized objection events extracted from transcript segments. | Helps coach objection handling and messaging effectiveness. |
| Call duration | 5m 16s | End timestamp minus start timestamp for completed interaction. | Supports workflow pacing and staffing analysis. |
Actionable Recommendations
Suggested follow-up:
- - Send pricing document with competitor comparison context.
- - Schedule a demo with the operations lead.
- - Confirm budget approval timeline and decision criteria.
- - Create task reminder for follow-up within 24 hours.
Call Timeline
00:10 greeting
01:20 problem described
02:45 price objection
03:50 product explanation
05:10 buying signal