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Market Guide for Call Center Speech Analytics Software

Automation9 MIN READOct 25, 2023

Cover photo — Klaus switching the light on.

Assessing calls for quality assurance is a time-consuming task. While it is commonly done by listening to the call recordings, focusing solely on the most insightful conversations and reading transcripts is a much faster and more effective alternative to Voice QA.

Here’s when call center speech analytics software comes into play. 

Jump straight to call center speech analytics tools →

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What does speech analytics mean for call centers?

Speech analytics for call centers is a technology that converts spoken language into text and extracts insights from recorded customer interactions, allowing you to analyze and understand phone conversations on a large scale.

Speech analytics is a powerful tool for improving customer service in contact centers, especially when used for QA purposes. 

Speech analytics for call center QA — main benefits

Without call center speech-to-text capabilities, it’s difficult to find relevant customer calls or distinguish ones related to certain topics, which results in small, randomized review samples. That limits the visibility into problematic areas and potentially leaves valuable customer insights undiscovered. 

There’s a solution, though. VoiceQA technology offered by quality management solutions like Klaus means: 

  • Call transcriptions and summaries so that you can quickly understand what the interaction was about without listening to it and decide if the call is worth your review time
  • Automated call sampling & discovery to let you know precisely which interactions need your attention and what to look out for
  • Sentiment analysis to determine the emotional tone of the conversation — was the customer satisfied, frustrated, or neutral?
  • Powerful voice QA to speed up the call center QA process and improve the coverage of your customer conversations

And that’s not everything.

Klaus VoiceQA and speech-to-text capability

Call center speech analytics solutions — comparison

Because QA voice technologies are so important for providing high-quality customer service and coaching agents, it should come as no surprise that there are many voice analytics tools available today. Typically, key features of call center voice analytics software include: 

  • Automatic call transcription, 
  • Timestamps and speaker identification,
  • Call topic discovery, and, 
  • Customer sentiment analysis.

Below you’ll find a more detailed overview of the main best speech analytics tools for contact centers — Klaus, Maestro QA, EvaluAgent, and Scorebuddy — along with their benefits. 

💡 Full disclosure: We’re proud members of #TeamKlaus, so there might be a hint of bias here. However, we’ve strived to provide a fair assessment and highlight the strengths of each solution — based on customer reviews, competitor websites, and thorough product research.


Klaus is a quality management platform designed to boost your contact center’s revenue through outstanding customer service. It uses artificial intelligence to identify where your agents might be falling short and resources going to waste, then helps you address these issues.

Klaus' website - screenshot.

✅ Quick and easy setup. Klaus is a breeze to set up and use. You won’t face a lengthy onboarding process or implementation fee. It’s the ultimate plug-and-play solution, offering a wide range of integrations, including popular options like Zendesk, Aircall, and Dixa.

VoiceQA technology. Klaus is equipped with speech-to-text capabilities and automatically generates call summaries to make monitoring phone calls for quality assurance easier. 

✅ Manual & AutoQA capabilities across the channels. Standardize and systemize your entire QA process across all channels to save time on conversation reviews and gain more valuable insights. Understand which channels serve your customers best and what needs improvement.

✅ Fast, customer-centric development. Klaus is known for its speedy and customer-focused development. Check out how many recent product updates Klaus has rolled out.

Don’t just take our word for it. Check customer stories and try Klaus for free!

Try Klaus


MaestroQA helps teams improve customer experience. The contact center quality monitoring tool allows you to score customer interactions, gather data and customer feedback, and measure agent performance over time.

MaestroQA's website - screenshot.

Speech analytics. Accurate transcriptions and diarized conversations for call center quality monitoring purposes. 

Screen capture. MaestroQA can record every action your contact center agents take when handling support tickets, providing a comprehensive view of their interactions.

Customizable dashboards. MaestroQA offers a range of reporting features, including custom KPIs for comprehensive agent performance assessment. 

✅ Grader quality assurance workflow. Evaluate the accuracy of your QA graders through the “Grade the Grader” workflow.

Check how Maestro QA compares with Klaus → 


EvaluAgent is a contact center quality assurance software that provides a range of features to help you effectively manage, monitor, and improve the performance of customer service teams.

EvaluAgent's website - screenshot.

✅ Call center QA reviews. Automatic transcriptions and call summaries for faster contact center QA reviews.

Conversation transcripts. EvaluAgent’s SmartScore can transcribe any conversation and provide a summary, giving you a high-level understanding of the interaction.

✅ Unified scorecard management. Access and use multiple scorecards within the platform, regardless of the workspace or customer interaction type.

✅ Customizable dashboards. EvaluAgent offers robust filtering options and generates reports based on individual QA scorecards, customer support teams, and agents. It also provides the convenience of automatic monthly reports for senior managers.

Check how EvaluAgent compares with Klaus →


Scorebuddy allows you to evaluate customer interactions across various channels, including phone, email, and live chat support.

Scorebuddy's website - screenshot.

Text analytics. Analyze why customers are calling, identify conversation trends, and speed up sentiment root cause analysis in your call center.

Easily customizable scorecards. Set up different scorecards with ease, regardless of the support channel, workspace, or interaction type.

✅ Advanced reporting. Monitor all scorecard results in one place for more efficient and accurate performance reviews. Use advanced reporting to identify trends and drill down with targeted interaction selection.

Learning management. Scorebuddy offers a Learning Management System (LMS) for uploading and creating dedicated training content.

Check how Scorebuddy compares with Klaus →

An illustration of Klaus with the necessary tools.

Pick the right speech analytics software for your call center

The main consideration when deciding speech analytics solution to use should be the specific needs of your team, along with your customer service goals. Ask yourself what you want out of the software:

1. Integrations with your current tools. When selecting a speech analytics tool, prioritize options that seamlessly integrate with your existing helpdesk and other tools used in your call center. This ensures that all your data is centralized, eliminating the need for switching between tabs or manual data transfers.

2. Features that matter most to your contact center, for example:

  • Conversation transcripts with timestamps and speaker identification,
  • Automation and AI (prioritize features powered by advanced algorithms and Natural Language Processing — like sentiment analysis and AutoQA — which can help you save time and effort on voice QA),
  • Redaction of sensitive information,
  • Reporting and actionable insights (look for a tool that displays data in an organized manner, with insights into agent performance and key call center metrics).

4. User-friendly interface. Make sure to test the contact center speech analytics software’s user-friendliness and intuitiveness. Consider the level of training and onboarding required for your team and avoid voice analytics tools with overly complex interfaces that could hinder your quality assurance program.

5. Reliability and compliance. Ensure that the software meets your security and compliance requirements. This includes assessing organizational and technical controls, internal policies, employee training, and certifications like SOC 2.

6. Pricing. Select a speech analytics tool that aligns with your budget while offering the necessary features and integrations. Typically, support teams allocate around $29 per call center agent monthly to their QA tool, with an average total software budget of $184 per agent monthly.

7. Scalability. Choose a speech analytics solution capable of accommodating your team’s growth and evolving needs. Review case studies to understand how the software has performed for similar companies in terms of scalability.

8. Support and customer satisfaction. Look for unbiased feedback on the provider’s support responsiveness and overall customer experience by consulting review sites such as G2. This ensures you receive adequate assistance when needed.

An illustration summing up questions to ask before picking a support quality management platform.

It may take some time to determine which solution is the best match for your company, and that’s okay. Test out several contact center voice analytics tools during free trials before committing to one option in particular.

The more you know before you choose the right one for your team, the better!

Need more guidance to choose the best software for your needs? Check out our Buyer’s Guide →

Written by

Berenika Teter - Headshot.
Berenika Teter
Berenika is actively trying to bridge the gap between cat and dog people. So fur, she’s been more successful at managing SEO content at Klaus.

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