Enterpret - Feedback Analytics Platform
EnterpretReviews from AWS customer
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AI-Powered Themes That Turn Feedback Into Action
What do you like best about the product?
I like how it uses AI to create themes from user feedback. It makes my job a lot easier by turning that feedback into something more actionable and easier for product teams to digest.
What do you dislike about the product?
What I dislike most about Enterpret is probably the performance issues. There are times when it’s slow to load. I do understand that some factors might be out of Enterpret’s control—after all, all apps have bugs sometimes. The good thing is that once we report it to Enterpret, they do their best to address it quickly.
What problems is the product solving and how is that benefiting you?
It saves us from having to do a lot of manual work just so the product team can understand what people are saying about our product and features. It also enables different teams to get their own insights (self-serve) on Enterpret, since it’s much easier to self-serve than before, when they would have to request that information from us.
Great for Charts, but Needs Structured Data Export for Validation
What do you like best about the product?
Client Feedback records visibility and sentiment analysis
What do you dislike about the product?
Unable to get structured data out of charts directly for validation
What problems is the product solving and how is that benefiting you?
Being able to get notifications from the Quality Agent whenever something is off
Enterpret’s AI Insights, Flexible Taxonomy, and Easy Custom Integrations
What do you like best about the product?
There are three things that make Enterpret a standout for our team:
AI Search & Insights: The Wisdom functionality is incredible. Instead of digging through spreadsheets, I can just ask questions about customer sentiment and get instant, summarized answers.
Taxonomy Management: The taxonomy feature is surprisingly easy to use. It’s flexible enough to adapt to our specific product language without being a headache to maintain.
Custom Integrations: We were able to build out custom integrations using webhooks very easily, which allowed us to pipe in niche data sources that other platforms might struggle with.
AI Search & Insights: The Wisdom functionality is incredible. Instead of digging through spreadsheets, I can just ask questions about customer sentiment and get instant, summarized answers.
Taxonomy Management: The taxonomy feature is surprisingly easy to use. It’s flexible enough to adapt to our specific product language without being a headache to maintain.
Custom Integrations: We were able to build out custom integrations using webhooks very easily, which allowed us to pipe in niche data sources that other platforms might struggle with.
What do you dislike about the product?
There isn't much to complain about. If I had to pick something, it would be the learning curve for some of the more advanced filtering logic, but the UI is generally intuitive enough that you figure it out quickly.
What problems is the product solving and how is that benefiting you?
Quantifying qualitative user research data as well as automatic retrieval and bundling of all different feedback sources we have in our company.
A single place to browse all feedback: from surveys to support tix, community posts & customer calls
What do you like best about the product?
It puts all of our customer feedback at our team's fingertips -- from responses to user sentiment surveys to support tickets and posts in community forums like Discord or Reddit. The integrations are super simple to setup and the team at Enterpret provides incredible product support.
What do you dislike about the product?
It takes some trial and error to get the taxonomy setup in a way that it will be most effective for reporting. Better audit logging after making taxonomy updates would make this process significantly less time consuming.
What problems is the product solving and how is that benefiting you?
Enterpret is helping us get user feedback into every team member's hands -- helping them make better decisions on a daily basis. Being able to quantify qualitative data at scale has given us the piece of mind to lean into soliciting qualitative feedback at any opportunity possible.
Great for Unifying Feedback In One Place
What do you like best about the product?
It combines many different sources of customer feedback into one place.
What do you dislike about the product?
Sometimes the information it provides is wrong, in attempt to appear knowledgable it often defaults to incorrect assumptions - I'd love if it would admit knowledge gaps so that I dont rely on poor information rather than merely guessing.
What problems is the product solving and how is that benefiting you?
When beginning discovery, there is often too many sources of information to all collate just to begin, its a great starting point to combine things all in one spot.
Uncover what you don't know about your own customers with fast and flexible integrations
What do you like best about the product?
The ability to quickly size volume of customers concerns related a specific theme or topic, together with the discovery of otherwise hidden issues that might not come up in our standard categorization that we used historically.
The integration to ingest data is very simple as long as there is a native integration, with very customizable options via Webhooks. This allows for a very solid integration and implementation process, it took us less than 2 weeks to be up and running in production.
The dedicated slack channel is a great feature and having an account manager directly in slack is great for everyday questions.
The integration to ingest data is very simple as long as there is a native integration, with very customizable options via Webhooks. This allows for a very solid integration and implementation process, it took us less than 2 weeks to be up and running in production.
The dedicated slack channel is a great feature and having an account manager directly in slack is great for everyday questions.
What do you dislike about the product?
Once a record is sent to Enterpret, it won’t update if there are later changes to the original feedback or conversation. One example we ran into with our webhook integration: we sent a customer’s conversation history into Enterpret, and then the conversation continued afterward, but the record in Enterpret didn’t reflect those new messages or updates even if we re-sent the webhooks with the full conversation including the new messages since the initial send.
What problems is the product solving and how is that benefiting you?
Visibility over customer feedback and centralized source of truth for taxonomy over how conversations/feedback/surveys are cataloged for analytics and leadership/team leads.
Flexible Dashboards That Make Stakeholder Reporting Easy
What do you like best about the product?
I love the flexibility in building dashboards. It makes communicating data to stakeholders so much easier and incredibly convenient for my role to look into trends.
What do you dislike about the product?
Wisdom tends to be limiting. I'm not sure if it's my experience and the way I prompt but I feel like there's a lot of potential in Wisdom but it's not letting me prompt other related questions that I have in min d.
What problems is the product solving and how is that benefiting you?
Looking into user trends.
Product Operations
What do you like best about the product?
Easy to generate insights and reporting without needing to use SQL or python. The new taxonomy is much better than before.
What do you dislike about the product?
I wish the gpt integration was a little better. Also, sometimes it's easier for me to export the data and cut it in excel when I'm trying to dig into more complex questions. The new taxonomy is better, but here are still areas it could improve.
What problems is the product solving and how is that benefiting you?
Helping us view customer insights, how often users are writing in about certain topics, features or pain points.
Powerful AI Insights, But Lag and Errors Slow Down Search
What do you like best about the product?
I really like how the AI and tracked keywords help refine my searches. I also appreciate Wisdom: it lets me do more than just search through feedback—it provides insights on how to structure and filter the data so I can reach the results I’m looking for.
What do you dislike about the product?
It lags and shows errors, especially in the new instance. It takes me a while to refine my searches, and it ends up taking even longer because the errors keep popping up.
Some reasons/tracked keywords are also duplicates, which means I have to keep in mind all the different reasons when searching for feedback.
Some reasons/tracked keywords are also duplicates, which means I have to keep in mind all the different reasons when searching for feedback.
What problems is the product solving and how is that benefiting you?
Enterpret helps me digest thousands of pieces of user feedback and makes it easy to search, view, and share - especially with our stakeholders. It allows me to segment and categorize feedback better, so that I can efficiently analyze and share feedback.
Easily Extracts Key Customer Pain Points with Enterpret’s Wisdom Feature
What do you like best about the product?
Enterpret allows me to easily extract the main issues and pain points from a very large data set. I also love the Wisdom feature that let's me ask questions to understand the customer better.
What do you dislike about the product?
Because of how data is summarised, it does not always extract the correct information. Sometimes, it generalises too much. It might for example say that a ticket is about a customer complaining about the onboarding process or saying the onboarding process is tedious, while actually if you look at the ticket itself, they just ask a general question.
Additionally, the Wisdom feature can give different information each time you ask it the same question. This makes me question the reliability of the data.
Additionally, the Wisdom feature can give different information each time you ask it the same question. This makes me question the reliability of the data.
What problems is the product solving and how is that benefiting you?
Easily getting the most important points from a very large dataset, reducing the time spent on analysis.
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