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27 Enterpret Reviews
Overall Review Sentiment for Enterpret
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I wish I could read all 8000 pieces of feedback / twitter posts / support tickets we get on a daily basis, but there's just no way. Luckily, with Enterpret I don't have to - I can build the taxonomy and automatically filter down to what I'm most interested in. Review collected by and hosted on G2.com.
As with any cutting edge tool, there are definitely some rough edges. But the team is iterating lightning fast. Not only do I see improvements almost every time I log in, but the documentation is incredibly clear and helpful, and the team is incredibly responsive to questions. Review collected by and hosted on G2.com.
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Ease of using the dashboards to glean insights from user feedback from multiple data sources. Review collected by and hosted on G2.com.
Doesn't yet support all the integrations that our company is looking for. Review collected by and hosted on G2.com.
Enterpret has unlocked feedback insights that weren't able to organize and easily analyse before. It has been great to see immediate feedback as a result of a certain change that was made (intentionally or not intentionally).
We have used insights from Enterpret to update courses, and external knowledge base articles, and prioritize projects. One of my favorite features is the ability to see anomalies and trends. I feel like I have more insight into our feedback and it is much easier to get to know our users. Review collected by and hosted on G2.com.
While Enterpret has a unique look and feel, it is unlike any other analysis tool I have used before and is a bit of a learning curve. However, the team is super receptive to feedback and is constantly making product improvements. Review collected by and hosted on G2.com.
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I recently used Enterpret to gain a quick understanding of my NPS (Net Promoter Score) results, which I found incredibly useful. Enterpret made it easy to aggregate customer feedback and turn it into actionable insights for the product team.
One of the key benefits of using Enterpret was its ability to quickly and easily visualize the NPS data. This allowed me to see at a glance which areas of the product were performing well and which areas needed improvement, which helped me to focus my team's efforts on the areas that would have the greatest impact.
In addition to its visualization capabilities, Enterpret also provided a wealth of other useful features, such as the ability to filter and segment the data and to generate reports and share them with the team. This made it easy for me to communicate the results of the NPS survey to the rest of the team and to collaborate on ideas for how to improve the product.
Overall, I highly recommend Enterpret to any product leader looking for a quick and easy way to understand and act on their NPS results. It's a fantastic tool that has already helped my team improve the product, and I'm sure it will do the same for others. Review collected by and hosted on G2.com.
1. More choice on the level of aggregation, i.e., more/less granularity
2. Remove duplicate input (which I think is something we did wrong in the input, but would be nice to auto fix that) Review collected by and hosted on G2.com.
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The UI approach, philosophically, is similar to quantitative metrics tools, which is great bc PMs are used to this and comfortable with it, and it brings additional rigor to the analysis of qualitative feedback (as oppose to very high level summaries and pie charts that do not provide actionable insights) Review collected by and hosted on G2.com.
None that I can really highlight at the moment. Of course it's always possible to improve the usability of any software product, and Enterpret is evolving. Accuracy of the AI is also always being improved (and is already great) Review collected by and hosted on G2.com.
Enterpret is a great tool for finding additional insights that are missed. Our internal teams are expected to surface feature requests, and as a result, there may be requests that are not submitted due to the time required to write up a requst. With Enterpret, it complements our process so we can sift through voice calls and other feedback sources to identify other customer's with the same request which allows us to better understand the need and quantify the impact. Furthermore, it can be used across a variety of teams like product marketing, customer success, and product.
Additional features include being able to do trend analysis, natural language search, and integrations (Gong).
My favorite thing about Enterpret is their team. They are extremely responsive, go out of their way to help so we can find value, and they develop quality products rapidly. Review collected by and hosted on G2.com.
Enterpret is still early on in their journey. There isn't anything I dislike, but I do look forward to seeing their product grow and develop over time. Areas of improvement include building more integrations and blending their machine learning models with internal customer naming/taxonomy. In some cases, their AI builds a taxonomy that doesn't align with our internal structure which can increase the "noise to signal" ratio. Review collected by and hosted on G2.com.
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An evergreen problem we have is understanding what problems our customers face on a daily basis. Most of this knowledge is in CS but they typically don't have the time to aggregate their learnings to share with the product team. When they do, it's often not granular enough as their tags are high elvel. Enterpret breaks down this wall. We're able to see what issues our customers have and dive into them in as much detail as we want. In particular, we're able to see when issues spike or find trends that feed our product development. Review collected by and hosted on G2.com.
Our customer service gets a lot of spam - probably more than the average company. Enterpret catches some of it but not all of it so sometimes we find junk as we're going through customer issues. Review collected by and hosted on G2.com.
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When we are growing very fast we started receiving customer feedback across multiple channels. This led to two problems. First, it's very difficult for any PM to collate all the feedback across channels. Second, as the feedback is unstructured, grouping the issues into buckets has become inconsistent when done by different stakeholders.
Enterpret beautifully solves both the problems. This can be so powerful tool to get all the Customer Feedback in one place and Categorizes all the feedback automatically. The best of them is they deliver things very fast.
All the best Varun, Arnav we want Enterpret to be a source of truth for all Customer Feedback. Thanks, Jack for all the support Review collected by and hosted on G2.com.
We want more use cases to be solved. Hope they will be part of the future roadmap of Enterpret. Review collected by and hosted on G2.com.
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Enterpret makes it easy to connect all your customer feedback sources into a one-stop shop that's easy for anyone in your organization to contribute and consume customer insights. Enterpret allows us to have a deeper, shared understanding of what our customers need as we experience rapid growth and diversity in our employees and customer base. Review collected by and hosted on G2.com.
Enterpret's machine learning taxonomy becomes more valuable as you feed more data sources. Review collected by and hosted on G2.com.
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Can easily understand the common reasons or issues users are facing. Helps a lot in taking product decisions. Review collected by and hosted on G2.com.
It has been super helpful until now. Nothing to dislike as of now. Review collected by and hosted on G2.com.