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About Voxjar

Voxjar is a communication software from Voxjar that provides tools for managing voice interactions. It includes features for call recording, speech analytics, and real-time transcription so organizations can improve customer engagement and track performance. The platform allows users to analyze conversations for insights, enabling better decision-making and strategy development. Voxjar supports various integrations with CRM systems to simplify workflows and improve data accessibility. Key capabilities: call recording speech analytics real-time transcription CRM integration performance tracking Best for: businesses that need to manage and analyze voice interactions for better customer service.

Voxjar Details

Vendor
Voxjar
Year Launched
2015
Location
441 North 440 West, Provo, Utah 84601, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Arabic, Japanese, Chinese, Korean, Hindi.
Users
Manager, Quality Assurance Specialist, Sales Representative, Customer Support Agent, Team Leader
Industries Served
Healthcare, Education, Finance, Retail
Tags
Call recording

Voxjar's In-App Market Place

Does Voxjar have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£)

Pros & Cons

  • Voxjar leverages OpenAI's Large Language Models to automate call evaluations, significantly reducing the time and effort required for quality monitoring.
  • By automating evaluations, businesses can review a much larger volume of calls (up to 100%) compared to manual methods, leading to more comprehensive insights into agent performance.
  • AI can potentially reduce human bias and subjectivity in evaluations, leading to more consistent and objective assessments.
  • By providing regular and comprehensive feedback, AI-powered evaluations can help agents identify areas for improvement and enhance their overall performance.
  • The platform provides valuable data and insights into call quality trends, allowing businesses to identify areas for improvement in training, coaching, and customer service processes.
  • The accuracy of AI evaluations depends on the quality of the training data and the sophistication of the underlying AI models. Inaccurate evaluations can lead to misleading insights and potentially negative consequences for agents.
  • While AI aims to reduce human bias, it's crucial to ensure that the AI models themselves are free from bias to avoid perpetuating or amplifying existing inequities.
  • Handling and storing sensitive call data requires careful consideration of data privacy regulations and robust security measures to protect customer information.
  • While you can provide input through scorecards, you have limited control over the specific AI logic used for evaluations. This can make it difficult to understand and troubleshoot unexpected results.

Voxjar's Support Options

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