Verint Knowledge Management aim to help agents find and share the information needed to answer both customer inquiries and questions they may have themselves. The solution helps ensure the answers agents access are consistent, up to date, and easily accessible.
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Verint Speech and Text Analytics
Score 8.4 out of 10
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Verint Speech Analytics is a tool used to transcribe and analyze millions of calls to discover customer insights and improve contact center performance in the cloud.
Verint KMS is great for organizing content by categories for different teams and by different topics. It is easy to search and the Related Content makes moving from one piece of content to the next relevant piece quite easy. On the authoring side, the ability to schedule publishing or expiration is very handy. It is also really easy to make edits and have content ready and published for readers quickly. Verint's KMS isn't well suited if your users wish to be able to organize their favourited content or if you need a wide-range of options on the authoring end of things.
Using the verint speech to troubleshoot the mobile app and before we did not have any viability on this topic before. Also before we had no way to look at anything that the guest had going on and now we are really able to drill down in every way to take care of the guest needs
The tools to submit and manage user feedback are very effective - they help us respond quickly and interconnect the feedback to the applicable content.
The end user experience is clean and feels familiar, making it optimal to support a group of people who generally have never experienced a KM application before.
Our audience responds well to our ability to insert images, GIFs, videos, PDFs, and more into our content.
One of the things that I find extremely beneficial about Verint Speech Analytics is the transcription. Sometimes you have an hour call, an hour and a half call, and you don't have time to listen to an hour and a half call. The beauty is that we can find the transcription and then we can look in it. It specifies where if you look in the interaction details in the back of the call, you can actually see the transcription. You can see it'll identify where in the call, what line at what timestamp did that call hit your category and with what string, with what term did it hit. And that is extremely beneficial. And we're trying to go through and find those little points of, sometimes they're points of abrasion, sometimes there are things that are going really well. I love that we have a transcription. I love that we can also see the screens that is vital because a lot of times, and again, not that we're trying to find something bad, but the reality is in any industry, there's in any call center environment, should I say, there's call avoidance. There's always going to be some agents, it's just in any call center, in any industry, it happens.
Or sometimes our agents are just struggling. And if you see in real life, for example, a very high silence time, when we notice a trend, we'll start going into those calls and actually looking at those screens and seeing, is silence time call avoidance or could it be the agents are having difficulty utilizing the resources? Are the resources not clear? Is that what the delay is? Are they having trouble trying to find the answer? And a lot of times we found that too. We found they're searching and clicking and searching and clicking and it's because they just didn't know where to go. So that is a coaching opportunity. And sometimes it's a coaching opportunity, not so much in a positive way because they're purchasing things from Amazon. But I think, like I said, that's inherent in any call center environment. I do find the screens, the transcription, the trend analysis that's available within speech, there are so many things I could literally sit here and talk to you for quite some time.
We love it. And I'm even more excited personally now because I learned so much, as I was saying, about being in the cloud and being in that open-source environment where all of these enhancements that Verint has. And they're so often that they enhance their products and their offering now these little bots and AI to help with all of these different aspects, but that's only available if you're in the cloud and the open source. So there's a lot of benefit in being in prem, in net platform, which is where we are. And we were able to provide a lot of meaningful insight and guidance into a lot of different pain points in the company. But I anticipate, and I have full confidence, that we'd be a much more effective team once we're able to move into the cloud. So I'm very hopeful for that. I'm anticipating what else we could discover.
The authoring side could be improved with additional options for fonts and easier formatting for table content. I have issues with trying to add colour to one portion of a table and not the other, so I have to resort to creating in Word first and then copying over to Verint. There is also no option to create steps in one row and the next step in the next row. I end up just adding 1., 2., etc. manually.
Many users would like to be able to organize their bookmarks into folders and the system doesn't allow this. Many have taken to creating bookmark folders in Microsoft Edge instead.
There were a few bugs that went on for a few months that made the initial launch of the KMS more difficult for the users and on the authoring side. The issues were with how the search results came up and what displayed for related content. It wasn't the best first impression for our agents using the system while on calls and made it more difficult. The issues were fixed after a few months of use.
Automated scrubbing of PCI and PII data from transcription transcripts and recordings. Using AI to detect the payment screens in a real time manner vs having to program triggers.
Easier way to bulk export transcriptions and recordings for our legal teams.
Verint KM has many features that - when used the 'right way' can expedite search, content usage, and maintenance. Unfortunately, not all end users want to be bothered with 'the right way' and are looking for simplistic and predictive options (which any KM solution would be hard-pressed to deliver).
This platform offers a wide range of features inclusive of the transcript generation which is text analysis and speech analysis. This helps in tracking the customer requirements and getting them a product they desire. Also the API integration with other tools have a scope of improvement. The UI can be improved and costing can be reduced
The support and development teams for Knowledge are exceptional. They are attentive and truly care about the experience of their customers and their goals
All of these tools were very useful and practical. For our decision, it came down to understanding our core audience - we determined our average associate was largely unfamiliar with call center and office work in their prior work experience, and as such they would not have previously worked in a KM application before. To help adoption, we sought the solution with the simplest and most familiar interface, and based on internal focus group feedback, that was Verint KM Pro.
Verint Speech Analytics stacks up well against workforce management, we use workforce management mainly for forecasting and scheduling. We selected Speech Analytics because we want to know not only why customers are calling but what is being said in calls. Sometimes customer might get angry or they might ask for a supervisor so when we need to look at escalated calls Speech Analytics helps us pick those out.
The system is relatively reliable with minimal downtime. However, when there is an issue, it is often addressed slowly and causes significant business issues
Content is easier to keep up to date and publish on an urgent basis.
Some users love the system, while others still find it difficult to find the information they need and miss the former guides we used. I think this is a result of the system issues that persisted for a few months after launch and will hopefully improve with time.
Users love being able to submit feedback and it makes it easier for errors, missing information and out of date information to be caught and fixed.
