Enterpret

Your voice of customer just got a whole lot easier to access. Enterpret Wisdom is now live on the Claude MCP Connectors Directory. Connect → Query → Get answers instantly. #VoiceOfCustomer #MCP #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.

Jenny McCullough had one question: what do customers actually need at 2am? She looked it up. Turns out — nothing urgent. Routine questions. Already answered in the Help Center. That one search saved Philo an estimated $1M a year. Then the rest of the company started asking questions too. Full story 👇 #CustomerIntelligence #VoiceOfCustomer

Most teams think they have a feedback taxonomy because they have tags. Tags ≠ taxonomy. Here's the difference — and why it changes everything about how your team analyzes feedback: enterpret.com/blog/what-is-a…

Miguel Pou at @kit built a role that didn't exist six months ago. He called it the last mile problem — great insights, wrong format, nobody opens a long doc. So he stopped sending documents and started sending URLs. 24 users across 4 departments followed. "I don't want to be the bottleneck for anybody." Full story → enterpret.com/customers/kit-…

"Why does [your product] still not do this?" 40 likes. A dozen replies all saying same. Your next roadmap review: nobody mentions it. Not because your team doesn't care. Because social feedback lives in a completely different world from where decisions get made. The fix is simpler than you'd think → enterpret.com/blog/your-cust….

Most teams think they have a VoC program because they run NPS surveys. Running a survey ≠ a VoC program. Here's what actually makes the difference — and where to start building one: enterpret.com/blog/what-is-a…

Last week in NYC, @enterpret_ai sponsored the @PLEDalliance CPO Summit. I had the chance to share a message I’m hearing more and more from product leaders: We’re shipping faster than ever… with less confidence it’s the right thing. AI collapsed the cost of building. It didn’t collapse the cost of deciding what matters. That gap is the Customer Clarity Gap, and it’s where a lot of “wasted engineering effort” hides. A few things that really resonated in conversations at the booth: 1. Context matters more than volume: 400 requests can be worth less than 12 when you tie feedback to revenue/retention. 2 Customer understanding has to be continuous, not quarterly. 3. Insights only exist if they’re embedded where teams work (e.g. Slack, Linear, Claude Code/Cowork). What surprised me (in a good way): almost every conversation quickly landed on the importance of the Context Graph, connecting feedback to business context and impact. We also heard consistent excitement about extensibility through Wisdom + our MCP Server, and strong interest in proactive customer intelligence through Enterpret's AI Agents like Quality Monitor and Escalation Agent and more. Huge thank you to Product-Led Alliance for an amazing event, and to everyone who stopped by to grab a copy of “The Product Times” and talk shop. If we met, I’d love to stay in touch!

Feature A has 400 requests. Feature B has 12. Your backlog says build A. But those 12 requests came from accounts representing 30% of revenue — two up for renewal next quarter. Same data. Completely different decision. We wrote about the Customer Clarity Gap 🧵

121 tool calls before a single insight. We tracked every token in 16 identical AI analyses. Without structured context: 80% of tokens on file navigation, 10% on reasoning. With the Customer Context Graph: 45% reasoning, half the cost, 48% higher quality. The model isn't the bottleneck. Context is. Read more here: enterpret.com/blog/your-ai-i…