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Measure success with datadriven metrics from "summary" of Lean AI by Lomit Patel
To truly understand how your AI product is performing, you need to rely on data-driven metrics. These metrics are essential for measuring success and making informed decisions based on evidence rather than gut feelings. By analyzing the right data points, you can gain valuable insights into user behavior, product performance, and overall impact. Data-driven metrics provide a clear and objective way to evaluate the effectiveness of your AI product. They allow you to track key performance indicators (KPIs) that are directly tied to your business goals. Whether you are looking to increase user engagement, improve retention rates, or drive revenue, data-driven metrics can help you monitor progress and identify areas for improvement. With data-driven ...
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