Why AI velocity is product management’s newest problem
Summary
AI tools are accelerating engineering velocity but are producing many technically sound features that customers don’t use, creating what the author calls "product slop." Fixing this requires stronger product inputs—rigorous discovery, continuous customer understanding, and well-specified specs—so AI builds the right things rather than just builds faster. The article recommends mapping the discovery process, automating only the syntheses that don’t need human judgment, and preserving customer conversations and root-cause analysis for humans. It highlights Productboard Spark as an example of an AI-native platform that synthesises feedback and maintains decision context to keep specs grounded in evidence.
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$10M to $25M