Enterpret
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Automatically analyze your customer feedback to make product decisions confidently.
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January 2023

Use Single Sign-on (SSO) on Enterpret!

Hello Enterpret users! We are excited to announce that we now support Single Sign-On (SSO) for logging in to your Enterpret account.

This means you can use your existing corporate credentials to access your Enterpret account, eliminating the need to remember multiple login credentials. We hope this will make it even more convenient for you to sign in to Enterpret and collaborate with your teammates. Security is of utmost importance at Enterpret, and our SSO is built upon OpenID Connect to ensure that we adhere to the highest industry standards.

You can read more about setting up SSO on the Enterpret help center.

We hope you enjoy this new feature, and as always, if you have any questions or feedback, please do reach out to us!

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January 2023

Enterpret Product Updates: Dec' 22

We wanted to end the year with a bang, so we did. This update covers all that we launched and improved in December.

SOC 2 Type II Compliance

We're excited to announce that Enterpret has achieved SOC-2 Type II compliance! This means that we've undergone a thorough, independent audit of our systems and processes to ensure that we are following best practices in security, availability, and confidentiality. Learn more here.

Enterpret <> Gong Integration

We publically launched our Gong integration, which ingests Gong calls continuously and discovers insights into it. Enterpret automatically ingests, summarises, and tags the Gong calls - and makes it analyzable for product teams. Learn more here.

Subscribe to feedback

Want actionable customer feedback delivered to the right team at the right team? Connect a saved search with a slack channel, and have feedback delivered right in slack for continued awareness. Learn more here.

Make Corrections on Predictions

Enterpret has added the ability for users to edit and correct incorrectly predicted reasons and sentiment, which will improve the accuracy of predictions for their specific instance of the platform. Learn more here.

Tweets as threads

A new update for our Twitter feedback records shows the entire thread leading to the tweet. This helps provide more context and makes it easier for users to follow conversations on the platform. In the near future, we plan to leverage this additional context to improve our predictions on tweets, so stay tuned for more updates! Learn more here.

That's not all

  • In-product help: New contextual in-product help (?) present at all key screens. You can always find all help documentation at helpcenter.enterpret.com.
  • Easy-to-use source names: We made it easier to analyze customer feedback from data sources such as Snowflake tables, custom CSV file uploads, and Salesforce objects by making the source name more meaningful. This allows users to distinguish between different integrations, making analysis easier. Learn more here.
  • Raw feedback download: New capability in Send Feedback, which allows users to include feedback content when exporting feedback from an analysis. This feature can also be found on the Search page. Learn more here.

We hope you've enjoyed these updates, and we can't wait to show you what we have in store for the coming month, like new dashboards and quantify. We value your feedback and would love your thoughts on our work. Please don't hesitate to reach out and let us know how we can continue to improve and deliver the best experience for you. Thank you for your continued support of Enterpret!

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January 2023

Make Corrections on Predictions

You might occasionally encounter customer feedback with an incorrectly predicted Reason, or user sentiment due to the probabilistic nature of machine learning. We are happy to announce that you can now directly edit predictions and make corrections, and your edits will improve the accuracy of predictions across your Enterpret instance.

Moreover, our models would learn from your corrections to avoid similar mistakes in the future, and improve predictions on other records.

Looking forward to your thoughts and comments!

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December 2022

Introducing Twitter Threads

Twitter, the most popular platform for free discussion, can be one of the best places to look to gather public opinion and gauge product sentiment. However, like with any conversation, looking at a single tweet in an entire thread is often unhelpful without its context.

With that in mind, we are delighted to introduce Twitter threads! Now see all tweets on Enterpret, along with the entire conversation thread leading up to it.

Additionally, you can view all the tweets of a conversation and their predictions by simply filtering with Conversation ID - which is the tweet ID of the root tweet in the thread.

We hope this helps with keeping in sync with your customers' needs! Do tell us what you think!

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December 2022

Enterpret <> Gong

Gong is an excellent tool for sales insights, but it’s a black box for product teams. Enterpret opens that black box and builds awareness about what your customers share on Gong.

With this new integration, Enterpret automatically ingests Gong calls every few hours, along with all the metadata present in Gong from Salesforce. It then summarises it, and just like every other feedback ingested in Enterpret - the taxonomy is updated, and the feedback is tagged with it. Some of the capabilities are:

  • Analytics on the content of Gong calls

    See how tracked keywords are trending over a period of time. Quickly identify the top reasons of feedback. Slice and dice them by Salesforce metadata properties like opportunity stage, name, etc.
  • Do self-serve research

    Identify reasons of feedback for competitors and features alike. Find Gong calls where your feature was talked about negatively or a competitor was talked about positively. Listen to the snippet directly in Enterpret and share it with your team.

As always, we greatly value your input on what we’ve shipped, as well as what we’re currently working on. 🙏

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December 2022

Improvements to Natural Language Search

Introducing a more powerful natural language search!

Now search for multiple texts at a time using the any of and all of operators.

Additionally, search for feedback matching the exact query using the exactly matches operators.

We hope these improvements make searching for relevant feedback easier. Let us know what you think!

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