<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Product-Management on DATATWEETS</title><link>https://datatweets.com/tags/product-management/</link><description>Recent content in Product-Management on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2026 Datatweets</copyright><lastBuildDate>Thu, 09 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/product-management/index.xml" rel="self" type="application/rss+xml"/><item><title>How AI Teams Should Handle Customer Complaints</title><link>https://datatweets.com/my-notes/ai-customer-complaints-feedback-systems/</link><pubDate>Thu, 09 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/my-notes/ai-customer-complaints-feedback-systems/</guid><description>Treating customer complaints as product evidence for AI, data, and software teams that need trust, reliability, and better systems.</description></item><item><title>Stop Using Proxies to Fix AI Team Communication</title><link>https://datatweets.com/my-notes/fix-ai-team-communication-without-proxies/</link><pubDate>Thu, 09 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/my-notes/fix-ai-team-communication-without-proxies/</guid><description>Why AI and data teams need direct business collaboration, shared process ownership, and clear priorities instead of proxy communication.</description></item><item><title>Treat Internal AI Systems Like Products</title><link>https://datatweets.com/my-notes/treat-internal-ai-systems-like-products/</link><pubDate>Thu, 09 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/my-notes/treat-internal-ai-systems-like-products/</guid><description>Why internal AI systems need product strategy, user focus, evaluation, and ownership instead of reactive request handling.</description></item></channel></rss>