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Contact Center Speech Analytics

Speech Analytics is a game-changing technology for contact centers seeking to deliver exceptional customer experiences.

By analyzing all voice interactions with fast and accurate automated speech recognition, Speech Analytics provides valuable insights into agent behavior and customer feedback. This empowers businesses to identify key trends and opportunities, optimize agent performance, and ultimately drive revenue growth.

Benefits of Speech Analytics

Reduce Time to Feedback

Call analysis using Speech Analytics helps identify trends and patterns in voice interactions, allowing businesses to quickly address common issues and improve customer service.

This can reduce the amount of time agents spend addressing recurring issues and improve overall efficiency.

Understand Your Contact Center

Speech Analytics can provide insights into the effectiveness of current business practices and initiatives.

By analyzing customer interactions, Speech Analytics can identify which campaigns are generating the most positive customer feedback, as well as areas where there may be room for improvement.

Insightful Call Analysis

Contact center speech analytics automatically analyzes call recordings to identify key themes, sentiment, and agent performance

This provides actionable insights for process optimization and a deeper understanding of customer needs.

Train Teams Effectively

Speech analytics offers a library of real customer interactions showcasing best practices and areas for improvement, enabling targeted training modules based on concrete examples. 

By analyzing calls where agents struggled, you can pinpoint coaching opportunities to enhance team skills and improve customer satisfaction.

How our call center speech analytics software works

Our speech analytics transforms customer conversations into structured data for valuable insights through a streamlined process:

  • Acquisition: Audio interactions can be captured by Xima CCaaS or by the UC system. 
  • Transcription: AI transcribes speech and measures overall sentiment and whether the call is positive, neutral or negative.
  • Classification: Machine learning analyzes words, phrases, and acoustics to understand meaning and sentiment.
  • Scoring: Rules and AI convert unstructured speech into searchable, structured intelligence.
  • Sentiment Breakdown: Reports include percentages of negative, neutral, and positive sentiment throughout the call, along with a final sentiment to indicate how the interaction concluded.
  • Analysis: Data is analyzed and reported on to provide insights into agent performance and customer experience.

Key features of our speech analytics software

Unified Interaction View

See transcript, sentiment, topics and summaries for fast analysis and identification of areas of improvement.

Highly Accurate AI Transcription

Capture every detail across recorded calls with a transcription agent.

Improve Efficiency

Reduce handle time and operational bottlenecks by identifying key issues in call data.

Automated Compliance

Detect non-compliance instances to aid in ensuring adherence.

Boost Customer Experience

Proactively identify negative sentiment and coaching needs to improve satisfaction.

Measuring Key Contact Center Performance

Speech Analytics automatically transcribes and analyzes customer interactions based on your unique organizational goals.

Management can use speech analytics to gain valuable performance metrics that drive strategic decisions such as:

Tired of wrangling data?

Identify Trends and Answer Key Questions Using Speech Analytics

Speech Analytics makes it easy for supervisors to identify trends and patterns that could indicate areas for improvement, such as common customer complaints or issues with specific products or services.

Speech Analytics will help you answer questions like these:

FAQs about contact center speech analytics

What is speech analytics?

Speech analytics is the process of analyzing recorded voice conversations to extract valuable insights, such as customer sentiment, key topics, and agent performance. It uses AI to transcribe and categorize spoken words for data-driven decision-making.  

How accurate is AI-powered speech analytics?

The accuracy of AI-powered speech analytics is typically very high, though it can vary depending on factors like audio quality, accents, and background noise. Continuous advancements in AI are constantly improving accuracy rates.

What is the difference between speech analytics vs conversation analytics?

Speech analytics primarily focuses on analyzing voice interactions, while conversation analytics is a broader term that encompasses the analysis of all types of customer interactions, including text-based channels like chat, email, and social media. Conversation analytics provides a more holistic view of the customer journey. 

What is the difference between speech analytics and text analytics?

Speech analytics analyzes spoken language from audio recordings, converting it to text first. Text analytics directly analyzes written text from sources like chat, email, and social media, using similar techniques to extract meaning and insights.

Everything, Unified

Unifying your platforms can provide a more streamlined, efficient, and effective communication experience for businesses and their customers.

Integrating all communication channels, such as voice, email, chat, and social media, into a single window, allows organizations to provide a consistent and personalized experience for their customers. This improves the customer experience and reduces the need for multiple tools. It simplifies workflow processes, and improves overall productivity for agents.

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Feature Release Webinar

Join us for an exclusive webinar as we dive into our latest product releases for IVR, MMS Messaging, and our Social Media Integration.

  • IVR (Interactive Voice Response)

  • MMS Messaging

  • Social Media Integration

Thursday, September 12, 2024 | 11:00AM ET