Product Updates

We are excited to integrate with Census to help product teams seamlessly and quickly connect their data warehouses which contain rich sources of customer feedback into Enterpret.

Census is a data activation platform built on your warehouse that enables companies to sync 360° customer data using Reverse ETL to build dynamic audiences with no-code segment builder.

Connecting Census to Enterpret unlocks a lot of exciting opportunities for product teams to gain a more comprehensive understanding of customer feedback across all channels and deliver more actionable product insights such as:

• Deeper understanding of customers
• Close the loop
• Reduce churn risk
• Identify upsell opportunties
• Create custom segments and audiences

Getting set up is a breeze, read our Help Center article to connect Census to Enterpret or learn more or about the integration here.

New List View Toggle in Dashboards

Easily toggle between Chart View and Table View in Dashboards for easier scanning of Reasons and Keywords. Now users can configure widget in a way that best suits their needs. This update becomes especially helpful when Reports are exported in PDF.

(See the gif above to see the List View Toggle in action)

Share more Quantify insights in Slack

Paste in Enterpret links into Slack and watch insights unfurl so that folks don't have to jump back and forth - insights at your fingertips!

• Improved User Experience: Unfurled Quantify URLs come with corresponding screenshots, making it easier for team members to grasp the content and purpose of the shared URL.
• Enhanced Context: The previews offer a snapshot of what the URL contains, saving time and reducing the need to click on every link to understand its relevance.
• Efficient Communication: Team members can quickly gauge the content of the URL, which leads to more efficient and focused discussions.

We've made improvements so your team has more control over Reasons generated by our Taxonomy model. Let's see these updates in action.

More control over Reason editing:

• Edit the Definition of a Reason
• Edit the Category of a Reason

(see gif above to see the updates in action)

Get Merge suggestions for Reasons

We've enhanced the edit Predictions experience to be streamlined editing and made Taxonomy updates for smarter suggestions. See these updates in action

“Suggested” Reasons

Improved Keyword and Category editing experience

Now when looking at individual records you'll be able to:

• Add Tracked Keywords, create new Tracked Keywords from a record
  Note: The Taxononomy additions helps the model learn and get better at future predictions

• Edit the Category of a Prediction

Coming soon - removal of Reasons help the Enterpret model provide better predictions

Aggregate Calculations are now available when analyzing feedback in Quantify.

• NPS
• CSAT
• Average (Mean)

Net Promoter Score (NPS)

Net Promoter Score (NPS) is a metric used to measure customer experience. It's automatically available for usage, when a metadata field has values in the range of 0-10.

Those who respond with a score of 9 to 10 are labeled Promoters, those with a score of 7 to 8 are labeled Passives, and those with a score from 0 to 6 are labeled Detractors. The Net Promoter Score is then calculated by subtracting the percentage of Detractors from the percentage of Promoters. The result is a score between -100 and 100, with a higher score indicating better customer satisfaction and loyalty.

Note: NPS calculations are available for all numeric metadata fields with values between 0-10.

Customer Satisfaction Score (CSAT)

Customer Satisfaction Score, often abbreviated as CSAT, is a metric used to measure a customer's satisfaction. The CSAT score is calculated as the percentage of positive responses. CSAT is available as a calculation on all metadata fields which have values in the range 1-5. The calculated value is the percentage value of customers who gave a positive rating (4 or 5).

CSAT Score = (# Positive responses {4 or 5} / # All responses) x 100

Note: Available for all numeric metadata fields with values between 1-5.

Mean

Mean value, or the arithmetic mean, is the 'average' of a numeric metadata value. It's calculated by adding up all the occurrences of a metadata value, and then dividing by the total number of feedback records matching the applied filters and set duration.

Note: Available for all numeric metadata fields.

We're constantly evolving, and this time it's to offer you deeper insights right at your fingertips. Dive into the new and improved Search Report.

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🆕 What's New?

Richer Content: Your Saved Search Reports now include a summary of all feedback within the Search. And yes, we've peppered in sample user quotes for each summary sentence to give you a clearer picture.

Farewell, Feedback Streams:  We've deprecated feedback streams for greater efficiency. But don't fret! Your older feedback stream subscriptions are now seamlessly transitioned into Daily Reports.

Why the Change?

Simply put, we believe in providing immediate value. The previous setup required you to open and sift through the Search. Now, with the revamped reports, the essence of feedback is presented concisely, saving you time and giving sharper insights.

🚀 Embrace the enhanced search experience with Enterpret!

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