Google Cloud Speech-to-Text vs. Zendesk Talk

Real-time meeting notes for the smaller group audience. Strong language coverage of over 125+ languages. Handles mobile phone recordings and environmental noise effectively. Fast transcription turnaround also supports phrases, which improves industry-specific terminology. Generating QA/compliance audit logs. Also builds the sentences with accurate punctuation and sentence boundaries. It has vast global support centers whose primary focus in resolving customer issues and help multinational engineering in building great products

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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.

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• So, first of all it gives the answer or translates in real time which is awesome.
• It has speaker diarization, which detects who spoke each segment. This is a great feature because it can track the number of people as well.
• It has an automatic punctuation system that detects each punctuation mark, such as a dot and a comma, and places it in the text.
• Lastly, it offers a variety of language translations, providing a global platform for interaction with people from different countries.

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• Call recording is a nice feature! It is great for training purposes and for quality assurance.
• The metrics you get from Explore are a great insight into how the team is handling the call volumes.
• Zendesk Talk has met most of our needs. It can be a bit unreliable at times.

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• Integration outside of the google eco system is challenging here.
• Google Cloud Speech-to-Text works only with active internet connection if the internet bandwidth is low it effect the transcription process and can lead to data inaccuracy.
• In terms of the pricing also this is at higher range which all the companies cannot afford like small scale organisation if they would like to use the tool they would look over the price to make the decision. Reducing the price can increase the product usage more

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• 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.

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Independently Invited by TrustRadius

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The reasoning behind my 10 is that the UI is very intuitive; I didn't require any formal training to use it. Google's speech-to-text is not just a conversion tool; it helps automate mundane tasks, saves time, and has an almost human-like understanding.

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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.

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Google Cloud Speech-to-Text outperformed its competitors significantly in terms of accuracy, surpassing any other product available. Additionally, its support for multiple languages was unrivaled in the market. Moreover, for clients with robust bandwidth, Google Cloud Speech-to-Text offered real-time transcription capabilities, enabling users to transcribe live audio streams with minimal delay.

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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.

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• It reduced our budget for assistants who transcribed files manually
• It speeds up the process, because we can have a transcriptions straight after the interviews
• It increased accuracy, because AI makes the transcriptions for every second, and you can find the words which were said at specific time.

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• 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%.

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Independently Invited by TrustRadius

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