Customer Feedback Intelligence for Product Builders

Varun Sharma
Co-founder, CEO
March 3, 2022

Let’s play out a scenario shall we...

You are a fast scaling company. Your initial Product Market Fit (PMF) was so strong, it’s enviable. It has powered your growth for last few years and your user base has expanded to all continents with human civilization.

But you can’t rest on your laurels, can you? You have to continue to grow fast. After all, the most successful companies are defined not by their initial hit product for a narrow market, but by their ability to deliver continuous hits as they expand their market.

So what do you do?  You try to scale your Product Development Org as fast as you can.  Along the way you establish an infrastructure to scale up the process of building the right product. Product analytics tool, in-app surveys, user session recording, data visualization on top of your data warehouse, a CDP, a Reverse ETL Solution, a community platform. You seem to have covered it all.

Then, as you sit with your team to plan out your roadmap for next few months, comes an innocuous looking question - what are our top 3 customer pain points over the past quarter? You think. Then you think a little bit more.  You remember that one survey response you read last week that stuck with you. Then you remember that one slide from the last product-support meeting you attended. You also remember that one app store review shared on a slack channel which had a lot of comments in the thread. That seems like a good top 3 to share. Anyways, there is no way you can be proven wrong. Just out of curiosity, you ask a few other team mates in product development the same question. They come up with their own rendition of top 3 which is very different from yours.

You wonder - how is it that we know every funnel conversion to the second place of decimal, but can’t even confidently answer what our top customer pain points are? Then you remember how in sync with your user needs you were in the early days, and it was that deep understanding coupled with your rapid velocity of shipping improvements, that led you to the strong PMF in the first place.

It’s not that your desire to solve customer pain has reduced, it’s just that it has become so much harder with hundreds of thousands of users using your product, and sharing their feedback over 8-9 different channels.

Hello, we are Enterpret. We are building customer feedback intelligence to help product teams continue prioritizing correctly as they scale.

The core engine behind the analytics is a proprietary unsupervised machine learning approach which enables us to create and dynamically update any customer feedback schema just from the raw text - zero effort required from our customers. 4 of our first 5 engineers were NLP scientists with 100+ research citations between them, and over the past 20 months they’ve been able to build something truly amazing!

We launched our product in beta about 8 months ago, and are thrilled to have some of the best product development teams on the planet like Notion, Cameo, and Loom, as early customers.

It’s been incredibly fascinating to see the pain points we’ve been able to help our customers with - prioritizing roadmap, validating hypothesis for growth experiments, iterating quickly on new features, and responding to product quality issues faster.

Today, as we come out of beta and enter general availability, we are excited to announce our seed round of $4.3 Million led by Kleiner Perkins with participation from Sequoia Capital India and Unusual Ventures. We are also grateful to have the support of stellar angel investors like Cristina Cordova, Vinay Hiremath, Curtis Liu, Melisa Tokmak, Badrul Farooqi, Paige Costello, among others.

So, what’s next? We will continue investing heavily on building the infrastructure for customer feedback insights, and enabling multiple core workflows for product development teams. We’ll also continue hiring thoughtfully for high impact roles.

If you’d like to learn more, we’d love to chat. You can reach out to us at namaste@enterpret.com.

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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 - 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, Apollo.io