Enterpret

𝐅𝐚𝐜𝐞𝐬 𝐨𝐟 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭: Meet Kevin, our Head of BizOps! Kevin had options. Co-founded a hard seltzer brand that landed in Trader Joe's, Whole Foods, and Target. Helped take Yext public. Invests in startups through his own fund. But there was a door he had been quietly waiting for someone to build. As a founder, his edge was obsessive customer-centricity. He spoke to over 30,000 people face-to-face. Read every customer message. It worked. It did not scale. For years, he wished someone would build the thing that let founders do what he did, without the 30,000 conversations. Then he met Varun and Arnav. Enterpret was that thing. He had lived the pain. Now he could help build the fix. No two days look the same. Monday is leadership meetings. Tuesday might be a product launch in the morning, Excel with accountants by afternoon, candidate interviews after, then building AI plugins for another team by evening. In BizOps, the job is context-switching between strategy, execution, and firefighting. Paul Graham's "do things that don't scale" is his operating system. As a founder, he carried 30-pound cases of drinks door-to-door to land retailers. At Enterpret, same energy. Coding the website. Building internal tools 0-to-1, then handing them off. Here is what most people get wrong. They hear "customer intelligence" and think product teams figuring out what to build. That is maybe 40% of the picture. Customer context is not a narrow tool. It is company infrastructure. Marketers use it to sharpen positioning. Finance teams use it to improve churn models. Every function gets better when "what are customers telling us" is instant. What teammates probably do not know: Kevin was a CS major. His first startup was "Uber for apartment visiting," coded at night while working in investment banking. AI is pulling him back to form. Weekends are for running, new restaurants, and vinyl. His latest pickup is Eiichi Ohtaki's A Long Vacation. When Kevin looks at Enterpret today, he sees the company he wished existed when he was the founder reading every message at midnight. The best brands of the next decade will be the ones closest to their customers. Enterpret is how they get there. And Kevin is exactly where he has always wanted to be - helping build it. PS: #FacesOfEnterpret features real stories from people who chose to build here. Why they joined, what surprised them, and what they have shipped.

Today, we're launching Enterpret, Everywhere - to bring customer intelligence directly to you within Slack and your favorite AI tools like Anthropic, Notion, Glean and more 🌐 What's new: • Ask @ Enterpret in Slack in any channel or DM to get cited answers from your full feedback corpus, right in the thread • New native MCP integrations — install Enterpret in Claude, Notion, and Glean via their marketplaces • And more MCP integrations coming soon — Cursor, ChatGPT, LibreChat, and n8n Now, teams can ask questions where they already work, and get instant, grounded answers pulled from support tickets, NPS, app reviews, Gong calls, CRM, and more. No extra tools. No workflow detour. No excuses to miss the voice of your customers. Just fast, transparent answers powered by your Customer Context Graph. Read more: https://lnkd.in/dFzMJ-bd #CustomerIntelligence #VoiceOfCustomer #Slack #Claude #Notion #Glean #AI #CustomerFeedback

Enterpret now supports YouTube comments! 📺 Every launch video, tutorial, and walkthrough generates feedback. Most teams never capture it. Now you can, with our new integration. Enterpret ingests comments and replies from your public YouTube videos, continuously syncs new comments as they come in, filters spam before analysis, and supports YouTube Shorts. Find structured insight from one of the richest channels most teams overlook — now connected with the rest of your customer signals, from support tickets to call transcripts to surveys. #VoiceOfCommunity

What does it actually take to turn customer feedback into product decisions? Next Tuesday, April 21 @ 10 AM PT / 1 PM ET, Emma Auscher (Global VP of CX at Notion) joins us live to break it down. Her team went from 700+ manual feedback tags → to a system that shapes what actually gets built. We’ll cover: → How to balance feedback across consumer, SMB, and enterprise (without the loudest voices winning) → The CX signal that led to a real product decision → A live look at Notion’s Custom Agents + Enterpret’s MCP Save your spot + get a free Notion VoC reporting template here: https://luma.com/in5x5p5p #CustomerIntelligence #VoiceOfCustomer #ProductManagement

"We wrestled with reducing our support hours for a long time. We just never felt comfortable pulling the trigger." Jenny McCullough had carried that question for a while. As Head of Support at Philo, she knew overnight shifts were costly, but cutting them felt like a risk she couldn't justify without knowing what customers actually needed at 2am. So she looked it up in Enterpret. Turns out, nothing urgent. Routine questions. Answers already in the Help Center. That one insight saved Philo an estimated $1 million a year. And then the rest of the company started asking questions too. Product checked in on customer feedback every week. Marketing dug into churn. 24 people across 6 teams were querying feedback. No memo. No mandatory training. Just a team that finally had somewhere to take their questions. Full story in the comments 👇 #CustomerIntelligence #VoiceOfCustomer

More customer feedback than ever. Faster tools than ever. So why are teams still less confident in what they're shipping? We explored exactly that in our webinar last week with Dotwork's John Cutler. The bottleneck has shifted. It's no longer execution — it's judgment. More signal doesn't automatically mean better decisions. Shipping faster without better judgment doesn't solve the problem. It just burns through wrong bets faster. The teams that win won't just ship faster. They'll learn faster. ✨ Is your team learning as fast as it's shipping? #ProductManagement #CustomerIntelligence #VoiceOfCustomer #ProductStrategy

Ever inherited a feedback system and thought... what even is this? Hundreds of tags. Thousands of tickets. Zero useful answers. Two tags that mean the same thing. Three others that overlap with each other. One that nobody can explain — but everyone's too afraid to delete. That's not a feedback taxonomy. That's a pile of tags with a checkbox interface on top. And honestly? It's more common than you'd think. If you've ever stared at a feedback report and thought "I don't trust this" — this one's for you. We broke down what a feedback taxonomy actually is, why most teams get it wrong, and how to think about building one that's actually useful. Link in the comments ✨ #CustomerFeedback #ProductManagement #CustomerIntelligence #VoiceOfCustomer

Miguel Pou just moved from CX to the product team at Kit. The role didn't exist six months ago. He built the work that justified it. Miguel had what he called "the last mile problem." Rich customer intelligence sitting in documents nobody opened. So he stopped sending documents. He started sending URLs. Live, filterable reports built on Enterpret's Wisdom, shaped with Claude. Something you could open mid-meeting and use right then. Teams that never touched VoC data started pulling it in. Sales saw what he built for Product and came to him directly. Nathan Barry, Kit's CEO, shared one of his reports on LinkedIn as an example of AI-native work. 24 active users across 4 departments now rely on what started as one person's side project. Miguel told us: "I don't want to be the bottleneck for anybody. What often ends up being the decision is 'ask Miguel or I won't even use it.' And I don't want that." So he taught others to build their own. And that's what got him a seat at the product table. Full story in the comments✨ #CustomerIntelligence #VoiceOfCustomer #AIatWork

Someone posts on X: "Why does [your product] still not do this one thing?" 40 likes. A dozen replies. A comment thread full of frustrated agreement. Your roadmap review is next week. Nobody mentions it. Not because your team doesn't care — because nobody saw it. Social feedback doesn't sit next to your support tickets or NPS responses. It lives in a different tool, a Slack channel that gets skimmed once a week, a spreadsheet someone keeps meaning to clean up. When you connect your social channels to the rest of your feedback, that thread stops being background noise. It becomes a pattern you can count, contextualize, and actually bring into a decision. The comments section has been trying to tell you something. It's worth listening. ✨ Curious what you've been missing? ⬇️ #SocialListening #VoiceOfCustomer #CustomerIntelligence

Your voice of customer just got easier to access. Enterpret Wisdom is now live on the Claude MCP Connectors Directory. → Connect in seconds  → Query across all your feedback  → Get answers instantly Turning feedback into clarity—effortlessly. #MCP #VoiceOfCustomer #CustomerInsights #AITools #ClaudeAI #ProductManagement #CustomerFeedback #CustomerIntelligence