Lang.ai is a text analysis tool used to make customer support agents more efficient, offering tools like better categorized support interactions for automating manual agent tasks like routing, triage, and prioritization, with the goal of cutting average time to ticket resolution.
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Medallia Agent Connect
Score5.8 out of 10
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Medallia Agent Connect (based on the former Stella Connect) is a CX suite of applications, performing customer feedback collection and service quality measurement, customer agent motivation tools, and employee engagement tools such as agent reward tools and performance tracking. Stella Connect was acquired by Medallia September 2020.
I've been using Lang.ai in my business for a few months now and it's been great. It's especially useful in scenarios where I need to quickly process large amounts of data, such as customer surveys or sales reports. It can handle text, numbers and images really well. For more complex tasks like natural language processing, Lang.ai is also a great choice.
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 survey sent is customer-friendly, vibrant, simple, and easy to understand. The survey itself is comprised of simple question(s) with straightforward answer options for customers to make their selections. Creating the survey is a straightforward process for us to prepare and implement. Making updates or changes is just as easy.
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 fundamental tool for customer satisfaction is exactly right. The way they allow us as agents to share details about ourselves, and humanize the process, has made a huge impact on the customer experience we provide. Our customers feel more inclined to leave us feedback and it allows us to get a real understanding of each of their individual expectations.
Customer Journey. From the beginning through the Sales process, through procurement, through trial and through now being users for over a year, the Stella Connect team has been incredibly helpful, informative and has provided us with the exact amount of interaction we need. They are very good at respecting your time while making sure they get in touch when necessary. New features that are relevant to our use case are sent my way. It's one of the only product update emails I actually read. They're incredibly responsive and very helpful.
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
They are the absolute best. My Sales guy Corey D. and my CSM Tim P. are totally a part of the team. They have been incredibly helpful through the process pre and post-sales and have become good friends. I appreciate that I feel like our team's success is always at the forefront of their minds.
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
I recently compared Lang.ai with Glassbox, GetFeedback, and Watson Studio by IBM. I found that Lang.ai is the most comprehensive AI-based platform for automated customer feedback analysis. It has features like natural language processing, sentiment analysis, and emotion detection which are not available on the other platforms. Furthermore, Lang.ai's user interface is intuitive and easy to use, making it my top choice for automated customer feedback analysis.
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 do not currently use any other products like Stella Connect, by Medallia. We have recently begun evaluating platforms that would allow us to collect feedback at different touchpoints throughout our customers' journeys, as well as through additional channels such as during our application process, quote and purchase experience, website experience, etc. We have looked at companies such as Survey Monkey, Medallia, and Qualtrics to help us better understand CSAT.
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
Implementing Stella Connect was such an easy decision. Before, we were working with "yes, I'm satisfied" or "no, I'm not satisfied" and felt it was an incredibly unclear and polarizing experience, as our users were forced to pick one or the other. Most often, we'd get a negative rating with a comment saying that the experience was fine, but some feature in the product was missing. This left it very difficult for us to really gauge the experience we were providing and how to improve. In addition, agent motivation was incredibly low and impossible to improve because they were left feeling like their scores were not matching their experience. Needless to say, implementing Stella Connect improved all of these issues 10-fold. The ROI has been incredibly substantial. We've been able to improve CSAT scores and properly measure the rate of first attempt resolutions. Team morale is at an all-time high, and our customers even love the experience.
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
