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dogfooding — an installable skill for AI agents, published by refoundai/lenny-skills.
Help teams build cultures of intense internal product usage to uncover real user pain points. Focuses on two core practices: requiring all team members to become active users of their own product, and using it intensely every day for real work rather than demo testing Provides a four-step implementation framework: assess current usage levels, identify gaps in firsthand experience, design systems that make dogfooding natural and required, and measure impact on product decisions Flags five common mistakes including superficial testing, delegating to QA instead of requiring team-wide usage, and ignoring edge cases beyond the happy path Includes diagnostic questions to help teams understand adoption barriers and connect dogfooding insights to product improvements Dogfooding Help the user implement effective dogfooding practices using frameworks from 2 product leaders who have built cultures of intense internal product usage. How to Help When the user asks for help with dogfooding: Assess current state - Determine how much the team currently uses their own product Identify the gap - Find where team members lack firsthand experience with user pain points Design the program - Help create systems that make dogfooding natural and required Measure impact - Track how dogfooding improves product decisions Core Principles Require team members to become users Maya Prohovnik: "I am constantly yelling at my product team who do not have podcasts and being like, I really don't think that you can build the right things. If they talk to users all the time, they see the data, but all of them, once they finally start doing their podcast, they're like, I get it." Force the entire team to become creators/users to deeply understand user pain points.
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