The Power of AI-Generated Feedback Taxonomy

Tiffany Go

Head of Product Marketing

August 13, 2024

When it comes to customer feedback, there’s often a problem: too much noise and not enough clarity. It’s messy, unstructured, and filled with emotion and subjectivity.

This is where AI comes in—not just to clean it up, but to transform that chaos into powerful, objective insights that actually move the needle.

One of the most impactful ways AI can do this? Through an AI-generated taxonomy that turns unstructured customer interactions into objective insights you can act on.

Let’s break it down.

Automating Feedback Analysis Because Manually Tagging Feedback is Riddiculous

Manual feedback tagging is a slog - as our CEO Varun likes to say, "Manually tagging feedback is ridiculous!"

It’s time-consuming, inconsistent, and prone to human error. By automating feedback analysis with an AI-generated taxonomy, you take the guesswork out of the equation. AI tags and categorizes feedback with speed and precision, identifying patterns and surfacing specific, actionable insights your teams can act on immediately.

No more sifting through mountains of raw feedback wondering what’s important. AI does the heavy lifting, transforming scattered comments and ideas into a clear picture of what matters most to your customers.

Boll and Branch connects quantitative and qualitative feedback with Enterpret

Boll & Branch used AI-powered categorization to save countless hours spent manually sorting through feedback. What used to be a time-consuming task is now streamlined, allowing their teams to focus on strategy instead of admin work.

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Read the Boll & Branch Enterpret customer story.

Improving Feedback Trust and Reliability for better Insights

Trust in your data is key. If teams don’t trust that the feedback they’re receiving is accurately categorized, they won’t use it to guide product decisions. That’s where AI-driven taxonomy shines—it enhances the accuracy and consistency of feedback tagging, giving your teams the confidence to make data-backed decisions.

AI doesn’t get tired. It doesn’t misinterpret a customer’s comment because of a bad day. The result? Consistent, reliable insights that your team can actually trust—and more importantly, use to drive meaningful change.

Notion uses Enterpret to get gain deeper trust and reliability in insights

Notion saw an immediate improvement in the consistency of their feedback analysis after implementing AI-generated taxonomy. With feedback tagged accurately, their product teams could spot trends they hadn’t seen before, enabling faster, more precise improvements to their product.

Read the Notion Enterpret customer story.

Tracking Product-Specific Trends at Scale

Customer feedback is only valuable if you know how to act on it. Tracking product-specific trends helps you identify where to make impactful improvements, plan your product roadmap, and make informed decisions that resonate with your users.

With AI, it’s not just about tracking feedback—it’s about analyzing it at scale, across product lines, regions, and user types. This kind of depth allows teams to stay ahead of the curve, identifying trends that would’ve otherwise gone unnoticed, and making smarter product decisions.

Canva listens to 175 million users at scale with Enterpret

Canva used AI-powered feedback analysis to track product-specific trends, identifying key areas for improvement in their design tools. These insights led to impactful changes that improved the user experience and drove customer satisfaction.

Read the Canva Enterpret customer story.

Using VoC to Drive Planning and Onboarding

Voice of the Customer (VoC) is no longer just a “nice to have”—it’s an essential part of planning, partnerships, and onboarding. AI-generated taxonomy helps teams transform VoC into an asset that supports decision-making at every stage of the customer journey.

From planning new features to improving customer onboarding, AI ensures your feedback isn’t just stored—it’s acted upon. The Browser Company tapped into VoC to streamline its planning and onboarding processes, ensuring their customer-first approach was woven into every decision.

The Browser Company uses Enterpret to manage and measure success of beta programs for more successful launches

The Browser Company used VoC insights to plan product launches and improve their customer onboarding process. With AI organizing and tagging feedback, their teams could quickly identify what customers wanted most—and act on it faster than ever.

Read The Browser Company Enterpret customer story.

AI-Generated Taxonomy is the Game Changer You Didn’t Know You Needed

At the end of the day, feedback is just noise unless it’s organized and actionable. That’s what AI-generated taxonomy does. It transforms unstructured customer interactions into objective, insightful data that teams can trust.

From automating feedback analysis to tracking trends, the power of an AI-generated taxonomy lies in its ability to cut through the noise and deliver clarity—allowing your teams to build products your customers love and connect feedback to growth, in a modern and efficient way.

If you’re ready to move from feedback chaos to clarity, it’s time to put AI to work.

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We chose Enterpret for its intuitive UI and seamless data integrations, which enable us to combine data from all sources and generate deep, multi-layered insights. The Enterpret team ensured a smooth onboarding experience, even increasing data ingestion cadence to provide real-time alerts. The insights we've gained are already driving meaningful change across our organization, and their responsive support and collaborative approach have been invaluable.

Nir Ben Ari

Director, Customer Support, Vimeo

Wisdom saves me hours every week. With 'Summarize with Wisdom,' I can condense feedback with a single click, replacing the tedious process of reading through hundreds of tickets. It’s life-changing!

Jil McKinney

Director of Customer Support, Descript

Before Enterpret, organizing research data took an entire day. Now, research synthesis is 83% faster - it takes just 15 minutes to pull the data and another 15 minutes to start synthesizing. Enterpret removes the manual work, allowing me to focus on strategic thinking with a clear mind.

Mike McNasby

User Research Lead, Descript

We are laser-focused on giving customers more than they expect through a hospitality-first, individualized approach to drive retention and loyalty. Enterpret has allowed us to stitch together a full picture of the customer, including feedback and reviews from multiple data points. We now can super-serve our loyal customers in a way that we have never been able to before.

Anna Esrov

Vice President of Customer Experience & Loyalty

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

CPO, Apollo.io

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

CPO, Apollo.io

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, Apollo.io

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. It's helping us solve 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 delivering impact.