Hear how the Chief Product Officer at Coda approaches building new products using insights from customer feedback.
Enterpret
软件开发
Bridging the gap between product builders and customers through automated customer feedback intelligence.
关于我们
Enterpret helps product and customer teams turn customer feedback into product growth and revenue by centralizing and analyzing customer feedback at scale using machine learning technology. Our advantage is our adaptive AI models are tailored to each of our customer's feedback architecture, to help deliver precise, relevant, and granular insights. Enterpret is the only product building custom natural language processing models for each customer, which helps teams unify all their customer feedback from every channel across all teams (surveys, support, social, sales and more). Our machine learning models then automatically tag, categorize and uncover customer insights that help product organizations build more strategically with the insights they need to drive revenue. We are solving complex problems in API design, analytics UI/UX and natural language processing, pushing the envelope of what's possible by applying first principle thinking. Interested in learning more? Reach out to us at [email protected]
- 网站
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https://www.enterpret.com
Enterpret的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- San Francisco
- 类型
- 私人持股
- 创立
- 2020
产品
![点击此处查看Enterpret]()
Enterpret
声誉管理软件
Enterpret is a Unified Customer Feedback Intelligence Platform. Leading product organizations use Enterpret to accurately leverage the Voice of the Customer in building best-in-class products. We automatically aggregate feedback from various sources such as support tickets, public reviews (App Stores, G2), survey responses, user interview recordings, social media, communities, etc, and analyze it using state-of-the-art NLPs to turn feedback into insights. What sets Enterpret apart is we: 1. Build customer-specific adaptive AI models that provide the most granular and accurate categorization of all customer feedback 2. Connect customer feedback to revenue impact to help product leaders confidently prioritize things that will actually move the needle for your business. Product organizations are using Enterpret to learn, listen, and take action so they can deliver the best customer experiences and more value to the business.
地点
Enterpret员工
动态
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AI (Artificial Intelligence) + BI (Business Intelligence) = CI (Customer Intelligence) Check out our CEO Varun Sharma's post to see how customer intelligence is shaping the next category of leaders: https://lnkd.in/eaFa9KBk
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Enterpret转发了
Yesterday, I gave a talk at The Montgomery Summit on a very simple but powerful idea - AI(Artificial Intelligence) + BI (Business Intelligence) = CI (Customer Intelligence) The movement from on-prem to cloud was revolutionary for BI tooling, offering insane scalability and flexibility compared to before. The result is that every department, from finance to operations, has ground truth data on what's happened *in the past*, no matter the scale. The key qualifier here is "in the past". For example, for an e-commerce company, the statement "We had 15% more returns last month than expected". Good insight! Now, what? The last 24 months' advancements in AI have enabled the creation and intelligence on a new type of dataset, customer conversations, allowing teams to answer the 'Now, what?' " 23% of returns were from customers initially asking about the exchange policy first and could not get sufficient clarity". Business Intelligence reveals the insight. Customer Intelligence reveals the action on the insight. Trillions of dollars are lost every year across the world due to poor customer experience. Customer Intelligence will enable the emergence of significantly more productive and efficient enterprises. Let's brace ourselves for the reshuffling of category leaders in many, many categories over the next few years.
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We love seeing customer-centric teams like Memrise get the recognition they deserve! ?? The team prioritizes understanding what their customers want—whether it’s new languages to explore or fine-tuning lessons to match how speakers actually learn. Congrats, Memrise! It’s an honor to partner with a team so committed to their customers. ?
Exciting milestone for Memrise today: we’re App of the Day on the App Store across Asia! ?? Getting featured is always a high but what makes this one special is why we've earned this spotlight: our focus on real-world language learning with native speaker videos. At Memrise, we’ve always believed that the best way to learn a language is by hearing how people actually speak. Not textbook phrases, not robotic AI voices, but real speech and conversation from native speakers. Seeing that approach recognised on a global stage is a big moment for our team. If you’re curious about what makes language learning actually work, check out how we’re doing things differently. And if you’ve worked on App Store featuring (or overall ASO!) before, I’d love to hear from you. What’s been your biggest takeaway from the process? Check out the Story #OnTheAppStore : https://lnkd.in/eWDpBFMn
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Good morning from eTail? West! Swing by S13, we'd love to meet you! Get a first look at our newest feature—NPS finally graduated from ‘nice to know’ to ‘need to act‘. With Enterpret you can pinpoint what’s moving your NPS up or down so you can actually do something about it. We've got the insights you need to crush your next meeting...or your next game night ?? If you want a complete view of your customers to grow revenue and loyalty, swing by the Enterpret booth for some treats and a chat!
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"We tried the approach of, if we build it [Voice of Customer], they will come, but we didn't find great success. So then it became more of, well, I'll feed it to you." ?? Plenty of gems like this from our chat with Jil and Mike on how they collaborate and build systems to support a customer-centric culture at Descript. Full recording + recap in the comments!
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Even a rainy evening can't dampen the enthusiasm of folks who care about the Voice of Customer (VoC) ? Last night, we had the pleasure of hosting leaders in support, CX, and product to talk VoC over a delicious meal. A few themes were top of mind: ?? Strategic focus: Automating routine tasks empowers teams to focus on complex customer interactions. ?? Smarter decision-making: Democratizing insights enables all teams to act on insights confidently (and quickly). ?? Feedback analysis: The ability to transform unstructured feedback gives teams a deeper understanding of customer needs. ?? Human Connections: Maintaining human connections as AI capabilities advance is critical for authentic and lasting relationships. Huge thanks to Somrat at Recall Capital and Rayfe at Canaan for cohosting, and the team at Cotogna for a delicious and memorable meal ??
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??? It's time for our next Voice of Customer meetup! No slides. No fluff. Just actionable advice from some of the smartest customer insights practitioners. Our new Head of Customer Intelligence Michael will be joined by Mike and Jil from Descript for an event that's not your typical webinar. Here’s the plan... ?? 15 minute deep dive with Mike and Jil — they’ll share insights and advice on how they approach building with customers. ?? 15 minutes of live Q&A — got questions? Bring ’em. They’ve got answers. Join us on Tuesday, February 4th at 12:30 pm PT / 3:30 pm ET ??? Save your spot here: https://lnkd.in/g-X_hFGV See you there!
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We are thrilled to welcome Michael Nguyen,?one of the most respected and forward-thinking Voice of Customer (VoC) practitioners, as Head of Customer Intelligence at Enterpret. As a former customer, Michael has championed our mission from the very start—shaping how Enterpret helps companies unlock the full potential of their customer feedback. Now, as an Entropy, Michael will collaborate with visionary organizations to leverage Enterpret for deep, actionable insights—uncovering new ways to drive innovation, loyalty, and growth. Stay tuned! Michael will also be launching a dedicated community for customer intelligence professionals, bringing together forward-thinking practitioners across product, support, CX, and more to share best practices, address challenges, and collaborate—elevating the craft of VoC and expanding its impact in organizations and industries. Read more about Michael’s perspective on the future of customer intelligence, why now is the critical time to invest, and how Enterpret is leading the way. Links to the blog post and community signup are in the comments ??
?????? ???????? ?????????????????? ??????’?? ???????? ???????????? ???? ?????????? ??????????????????—???????? ?????????? ???????? ????????. For years, Voice of Customer (VoC) practitioners have fought to make customer feedback impossible to ignore. We’ve built feedback loops, VoC reports, and advocated for user research. I know this because I’ve lived it... ? At Asana, VoC started as a side quest—until we turned it into a company-wide ritual that shaped the product roadmap. ? At Figma, we built the insights infrastructure that made real-time customer insights accessible to every team. And now, we’re at a turning point. AI has changed what’s possible with unstructured data. Customer feedback is no longer just something companies collect—it’s the most valuable dataset they own. The best companies won’t just listen; they’ll build systems that make customer centricity more than a core value—they’ll make it a way of working. That’s why I’m excited to take this work further: ??’???? ???????????? Enterpret ???? ???????? ???? ???????????????? ????????????????????????. At Enterpret, we’re empowering teams to turn customer insights into action—at scale, in real time. Because the companies that get this right? They’ll be the ones that define the future. If you’re working to make customer intelligence a core part of how your company operates, let’s connect. Drop a comment, share your biggest challenge, or sign up to join our VoC community. Let’s build the future—together.
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The best PMs know that Voice of Customer is their secret weapon against product failure — and Aakash is one of them. ?? We're thrilled to feature Aakash on our blog, where he shares how product teams can manage risk strategically by using feedback. Here are five ways feedback reduces product risk: 1?? Catch misalignments early and course-correct before they snowball. 2?? Gather input at every stage—from ideation to launch. 3?? Tailor questions to user groups for deeper, actionable insights. 4?? Close the loop: turn feedback into quick improvements customers notice. 5?? Prioritize solving real needs over-relying on guesses or hunches. Click through to see highlights like the Risk-Feedback Matrix, or read the full post linked in the comments.