Observe.AI, a provider of Contact Center AI in San Francisco, supports customer experiences and agent performance by helping to analyze interactions, extract sentiment insights and streamline workflows. With Observe.AI, businesses transcribe interactions to coach agents while gaining visibility into customer service operations. Observe.AI technology includes agent assistance, automatic speech recognition, and Natural Language Processing (NLP) to contact centers.
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Zendesk Talk
Score8.5 out of 10
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Zendesk Talk is call center software built on the Twilio cloud communication platform that integrates with the Zendesk Support ticketing system. This allows customer service teams to provide phone support from the same platform they use to manage all other channels.
Observe.ai is incredibly well suited for uncovering trends. The accuracy of their transcripts paired with how easy it is for any user to find insights helps us tap of data you would think would be impossible to get, or at least in a very slow and manual process (listening to call samples, 1 call at a time it’s a thing of the past now).
This simplicity of use and the power of their machine learning and AI applications have proven to be particularly helpful for us to boost our agent performance and training.
Observe.ai is still at the early stages of real-time agent assist, so I would not recommend it right now for that type of application.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Zendesk Talk is a great partner that helps us in the customer care area by managing every type of contact with customers (both phone calls and emails). I know there is also the possibility to have integration with instant messaging apps (like messenger and WhatsApp but I have never used them in my experience). In my opinion, the best scenario for Zendesk Talk is represented by a context with a high amount of contacts/requests where a unique platform could be a help both on the external side (customers) and on the internal side (a lot of colleagues who are working in the same area and have to work in a coordinate way). For customers, they could benefit from tailor-made answers, also based on past contacts for the same topic, and avoid waiting times during phone calls, with an immediate follow-up. For internal work management, operators don't overlap in a single request, and even if the same operator is not available the one who manages the request later has complete visibility of the entire topic from the historical point of view. Last but not least, I think that Zendesk Talk helps a lot in the context in which the request's speed is a KPI to manage constantly.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The lag on the phone is by far the most annoying thing with Zendesk talk due to the voice over IP.
Using the Reporting feature in Zendesk has never been a walk in the park. We have to customize a lot of fields and when something doesn't seem to add up, it at times feels like pulling teeth to get to the final answer of what went wrong.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We are very satisfied with the features, support, follow up and value that Observe.ai has brought to our organization. They are also very easy to deal with and very willing to listen to recommendations to help boost the solution.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Their UI is very easy to navigate and understand. Most features are easily accessible and they seem well balanced and connected with each other. Users at our company have been trained with good proficiency levels in just a few hours, and high proficiency can be achieved in a week or less if you spend the time to practice.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Everything about it works, as I have previously detailed. Coming from different companies and using other tools like Twilio or Aircall, those are VOIP tools that are built to be plugged into other tools, Zendesk Talk is natively built into Zendesk and feels correct in the user experience of Zendesk
In our experience, we have had to go through many support people then ultimately getting frustrated enough to go directly to our point of contact who then doesn't always seem to be able to assist. We tend to get the support we need when it is escalated up to me and I reach out to our point of a contact person to express our frustration.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Slack and Zoom phones cannot compare because they have no ticketing systems. Zendesk Talk was the only option we considered because we were already using Zendesk for our email ticketing with customer concerns. We then expanded to using Zendesk's chatbot and then the Zendesk Talk system to keep it all integrated and streamlined.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We were able to reduce global headcount by 20% in our call centers.
Allowing customers to leave voicemails creates the personal touch needed and really increases our customer connectivity score. We saw increases in our CSAT scores after the implementation of this solution.
Call handling time and case reopen rates both decreased. Y/y it decreased 18% and 60%.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
