Why choose Level AI over Tethr?
Tethr is a conversation intelligence platform with outdated AI capabilities for mid-sized businesses. The depth and detail of customer and agent performance insights are restricted due to Tethr’s ability to detect only predefined keywords and phrases.
Don’t settle for old technology when you have access to the most advanced contact center platform, powered by industry-leading semantic intelligence and generative AI.
The best AI in the Industry
How Level AI Compares To Tethr
With purpose-built, proprietary AI models to help contact centers exceed customer expectations and drive profitable business growth, Level AI is the superior alternative to Tethr.
Level AI’s proprietary AI, trained to your data, understands the conversation’s context and customer intent for accurate automated scoring, insights, analytics, real-time agent assistance, and more.
Tethr’s technology is limited to detecting pre-trained keywords. While it relies on NLP algorithms for literal meaning, it struggles with hidden customer intent, affecting analytics, insights, and agent metrics.
Level AI’s conversational analytics automates data collection and analysis, featuring customizable, user-friendly dashboards for insights on customer satisfaction, business growth, and product adoption.
Tethr uses TEI and AIS in their analytics, generated from predefined data. However, applying a generic black box model to your conversations limits the detection of unique business-specific metrics.
Level AI harnesses cutting-edge semantic and generative AI for instant Voice of the Customer insights, which automatically summarizes key issues in your product and services, freeing you to focus on team and business success.
Tethr relies on predefined variables and phrases, which limits the depth of VoC insights because it fails to fully grasp the diverse ways customers express themselves.
Level AI’s GenAI-powered solution uses proprietary GPT models to accurately auto-score your custom grading rubrics. Customize multiple rubrics and eliminate bias with calibration sessions. Every automated evaluation contains proof from your conversation data.
Tethr lacks rubric-specific auto QA and scores. TEI and AIS are black box scores that aren’t tailored to your specific needs, and customizability depends on fitting into their system, which doesn’t suit your unique performance and QA requirements.
Level AI offers personalized coaching sessions and data-driven insights into individual agent performance. Our two-way learning process allows agents to provide direct responses to feedback and coaching plans on the platform, creating a transparent feedback loop.
Tethr lacks in-platform agent coaching and tracking. Managers can’t give feedback or communicate with agents directly within Tethr, making coaching a manual and offline process outside the platform.
Empower new agents with instant, omnichannel guidance, complemented by AgentGPT, trained on and continuously learns based on your data to auto-generate tailored answers for agent and customer success.
Tethr’s agent assist solution provides basic features like surfacing answers from knowledge articles and agent prompts, but lacks continuous learning and adaptability to evolving customer questions and agent needs.
Level AI’s screen recording offers video redaction, omnichannel recording, background mode, and more for instant insights into productivity, coaching, compliance, and QA.
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Frequently asked questions
Tethr is a customer experience (CX) platform that helps businesses improve the quality of their customer interactions. It does this by providing insights into customer behavior, identifying areas for improvement, and delivering coaching to agents.
Tethr is typically used to extract valuable insights from customer conversations to improve customer service, sales, and operations. It helps businesses understand customer sentiment, identify trends, and make data-driven decisions.
Tethr works by processing and analyzing audio and text data from customer interactions. It uses natural language processing (NLP) and machine learning algorithms to identify keywords and sentiments within conversations.
Tethr can provide insights into customer sentiment, key topics of discussion, customer satisfaction levels, compliance adherence, and opportunities for process improvement.
Tethr pricing varies depending on factors such as the number of users, the volume of data analyzed, and the specific features required.
Tethr has received various customer reviews, reflecting a range of both positive and negative experiences. Here are some pros and cons of Tethr, based on their customer reviews:
Pros –
- Easy to use and set up
- Useful analytics and reporting
- Ability to identify customer pain points and sentiments
- Helps to improve customer satisfaction and agent performance
- Good customer support
Cons –
- Reported issues with transcription accuracy
- Difficult to customize the platform to meet specific business needs
- Can be cumbersome to find the results users are looking for
- Lack of clarity around how the Agent Impact Scores (AIS) are calculated
- Very basic out-of-the-box features
Tethr has a number of competitors who also have the ability to record and evaluate customer interactions, track agent performance, and deliver coaching. However, there are some key differences between the different products and some competitors offer more advanced AI-powered capabilities, and/or more robust reporting and analytics features. Below are some Tethr competitors:
New entrants to the market over the last few years –
Veteran vendors running on legacy platforms –
With the advancement of leveraging generative AI and large language models (LLM) to automate critical tasks and improve business efficiency, a key aspect when looking for a conversation intelligence, quality assurance, or a comprehensive contact center performance management software that also include coaching and agent assist is the quality of underlying AI technology. Download our e-book, ‘How to evaluate AI for your contact center’ to learn more about how AI can boost business performance and streamline operations, and what ‘good AI’ means regarding contact centers.
