Separate insight from noise with autogenerated Summarized Queries

Tiffany Go
Head of Product Marketing
November 1, 2023

Summarized Queries provide high-level summaries of insights from large volumes of feedback - with one click you’ll get an auto-generated summary of feedback from your query. Each Summarized Query is annotated with citations so you can dive deep into areas of interest with less fuss and more trust.

Read on to learn more about how Summarized Queries work and get a peek behind the curtain to our Product Co-Pilot launch!

Summarize feedback in seconds

Let’s take a look at this example - imagine you are a group product leader at Spotify in charge of Playlists gearing up for annual planning.

  • You’ve built a query to dive into some insights about Tracked Keywords that mention Playlists filtered down to the category of Improvements and Complaints .
  • WOW there are 10,490 records. That’s a lot.
  • Not to feat - hit the Generate Summary and watch Enterpret deliver top insights annotated with citation in just seconds.

No hallucinations here! Insights grounded in customer feedback

Next to every Summary you will see citations. With the rise of natural language processing models there is a perception that people don’t trust the output of an LLM, since they tend to hallucinate. Providing citations for each claim made in a Summary makes the Summary inspectable — so that any insight can be immediately grounded in customer feedback.

No hallucinations! Cited annotations for insights grounded in customer feedback.

Dig in deeper with a few clicks

Now that you have your Summarized Query, you can dive into insights more deeply with the cited annotations.

Let’s continue with the example above and dig into the Issue With Random Songs In Playlists.  Let’s click on the citation link to see why They find it frustrating when unrelated songs are added to their playlists, and they are unable to remove shuffle play

As you can see, it’s easy to flip through and then access  the individual bits of feedback  in one place. You see a PlayStore and an AppStore review unlocking the power of a comprehensive view of your customers.

Behind the curtain: Summarized Queries and our Product Co-Pilot Vision

Providing citations for each claim made in a Summary makes each of the autogenerated Summary inspectable — so that any insight can be immediately grounded in customer feedback. This is core to our approach at Enterpret where all insights and data are created from your feedback by your feedback. We execute on this in the following ways:

  1. Unified Feedback Repository: Connecting all customer data sources in one place
  2. Custom Taxonomy: Building a custom model built from your feedback so your team can unlock a deep and layered understanding of your customers.

All this has enabled us to build Summarized Queries from your feedback. This release is foundational to our Product Co-Pilot vision and delivering on the promise of helping product teams answer the most challenging questions about your customers.

Keep your eyes on Enterpret for our Product Co-Pilot release later this year!

And, if you’re interested to see what insights Summarized Queries come from your customer feedback -  get a demo with your data by getting in touch here!

Get a demo with your data
Enterpret allowed us to listen to specific issues and come closer to our Members - prioritizing feedback which needed immediate attention, when it came to monitoring reception of new releases: Enterpret picked up insights for new updates and became the eyes of whether new systems and functionality were working well or not.
Louise Sellars
Analyst, Customer Insights
Enterpret is one of the most powerful tools in our toolkit. It's very Member-friendly. We've been able to share how other teams can modify and self-serve in Enterpret. It's bridged a gap to getting access to Member feedback, and I see all our teams finding ways to use Enterpret to answer Member-related questions.
Dina Mohammad-Laity
VP of Data
The big win-win is our VoC program enabled us to leverage our engineering resources to ship significantly awesome and valuable features while minimizing bug fixes and" keep the lights on" work. Magnifying and focusing on the 20% that causes the impact is like finding the needle in a haystack, especially when you have issues coming from all over the place
Abishek Viswanathan
Since launching our Voice of Customer program six months ago, our team has dropped our human inquiry rate by over 40%, improved customer satisfaction, and enabled our team to allocate resources to building features that increase LTV and revenue.
Abishek Viswanathan
Enterpret's Gong Integration is a game changer on so many levels. The automated labeling of feedback saves dozens of hours per week. This is essential in creating a customer feedback database for analytics.
Michael Bartimer
Revenue Operations Lead
Enterpret has made it so much easier to understand our customer feedback. Every month I put together a Voice of Customer report on feedback trends. Before Enterpret it would take me two weeks - with Enterpret I can get it done in 3 days.
Maya Bakir
Product Operations, Notion
The Enterpret platform is like the hero team of data analysts you always wanted - the ability to consolidate customer feedback from diverse touch points and identify both ongoing and emerging trends to ensure we focus on and build the right things has been amazing. We love the tools and support to help us train the results to our unique business and users and the Enterpret team is outstanding in every way.
Larisa Sheckler
COO, Samsung Food
Enterpret makes it easy to understand and prioritize the most important feedback themes. Having data organized in one place, make it easy to dig into the associated feedback to deeply understand the voice of customer so we can delight users, solve issues, and deliver on the most important requests.
Lauren Cunningham
Head of Support and Ops
With Enterpret powering Voice of Customer we're democratizing feedback and making it accessible for everyone across product, customer success, marketing, and leadership to provide evidence and add credibility to their strategies and roadmaps.
Michael Nguyen
Head of Research Ops and Insights, Figma
Boll & Branch takes pride in being a data driven company and Enterpret is helping us unlock an entirely new source of data. Enterpret quantifies our qualitative data while still keeping customer voice just a click away, adding valuable context and helping us get a more complete view of our customers.
Matheson Kuo
Senior Product Analyst, Boll & Branch
Enterpret has transformed our ability to use feedback to prioritize customers and drive product innovation. By using Enterpret to centralize our data, it saves us time, eliminates manual tagging, and boosts accuracy. We now gain near real-time insights, measure product success, and easily merge feedback categories. Enterpret's generative AI technology has streamlined our processes, improved decision-making, and elevated customer satisfaction
Nathan Yoon
Business Operations,
Enterpret helps us have a holistic view from our social media coverage, to our support tickets, to every single interaction that we're plugging into it. Beyond just keywords, we can actually understand: what are the broader sentiments? What are our users saying?
Emma Auscher
Global VP of Customer Experience, Notion
The advantage of Enterpret is that we’re not relying entirely on human categorization. Enterpret is like a second brain that is looking out for themes and trends that I might not be thinking about.”
Misty Smith
Head of Product Operations, Notion
As a PM, I want to prioritize work that benefits as many of our customers as possible. It can be too easy to prioritize based on the loudest customer or the flavor of the moment. Because Enterpret is able to compress information across all of our qualitative feedback sources, I can make decisions that are more likely to result in positive outcomes for the customer and our business.
Duncan Stewart
Product Manager
We use Enterpret for our VoC & Root Cause Elimination Program - Solving the issues of aggregating disparate sources of feedback (often tens of thousands per month) and distilling it into specific reasons, with trends, so we can see if our product fixes are reducing reasons.
Nathan Yoon
Business Operations,