Blog
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How to write a definition of done for an AI feature
Evals are quickly becoming the new PRD but to know you are truly done they lack one key customer-facing element:…
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The Last Cheap Moment: Optimizing Human-in-the-Loop AI Workflows
Putting a human in the loop is good practice however you have to put that human in the right part…
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The ten product management posts you read most this year
The ten most-read posts on jeffgothelf.com over the past twelve months, on AI product management, OKRs, judgment, prioritization and what…
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How to Run Customer Interviews for a Capability Your Users Have Never Experienced
Standard discovery interviews ask about past behavior. That breaks when the capability doesn’t exist yet. Here are three ways to…
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Traits before tools: rethinking when to insert AI into your ways of working
AI amplifies how you already work. Barry O’Reilly’s traits→tasks→tools model explains the AI ROI gap—and how flipping the order closes…
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How to Collect Product Feedback When Your AI Gives Every User a Different Answer
Traditional product feedback assumes everyone uses the same product. AI features break that assumption. Here’s an instrumentable way to fix…
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How to prioritize your backlog when effort is no longer the constraint
How to use learning and reversibility to prioritize work AI can now build cheaply and quickly
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How to write OKRs for an AI product
If your AI product delivers different outputs to each user and prompt, here is how you measure the success of…
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How product management can fix your AI integration problems
Your AI integration problem is a product management problem: why pilots stall on old workflows, and the product approach that…
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Training your PMs on AI tools is the easy part
AI tool training makes teams faster, not more innovative. Without permission to experiment and fail, you just get a faster…