Glossary of terms

Speech Analytics

Speech analytics refers to the technology used to analyze spoken words in customer interactions to extract meaningful insights. It can identify trends, customer sentiment, keywords, and compliance issues by analyzing recorded calls or live conversations. Speech analytics helps businesses improve customer service and agent performance by providing data-driven insights from voice interactions.

Best Practices

Focus on Key Metrics: Identify specific metrics to track, such as sentiment, call duration, or specific keywords that indicate customer satisfaction or dissatisfaction.
Real-Time Analysis: Implement real-time speech analytics to detect issues during calls and take immediate corrective actions when needed.
Train Agents Based on Insights: Use speech analytics to provide agents with feedback on their performance, helping them improve communication and customer handling skills.
Ensure Compliance: Utilize speech analytics to monitor compliance with legal and regulatory requirements, flagging non-compliant language during customer interactions.

How Daktela Can Help

Daktela's speech analytics technology provides powerful tools to transcribe and analyze conversations in real-time. With sentiment analysis and keyword tracking, businesses can gain insights into customer feelings, agent performance, and service quality.

What's Next

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