/insights, or Why the Analytics Developer Had No Analytics
📰 Dev.to · Dorothy J Aubrey
Learn how to apply data analytics to your own projects, even when working with AI, to gain valuable insights and make data-driven decisions
Action Steps
- Build a basic analytics product to track key metrics
- Run analytics tools like /insights to gather data
- Configure data visualization to understand trends and patterns
- Test hypotheses using data-driven approaches
- Apply insights to inform project decisions and improvements
Who Needs to Know This
Analytics developers and AI collaborators can benefit from this lesson to improve their project's visibility and decision-making
Key Insight
💡 Data analytics can provide valuable insights, even for AI-driven projects, to inform decision-making and improvement
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📊 Gain visibility over vibes with data analytics! 🚀
Key Takeaways
Learn how to apply data analytics to your own projects, even when working with AI, to gain valuable insights and make data-driven decisions
Full Article
Visibility over Vibes: I spent a month building an analytics product while running my AI collaboration completely blind. Then I ran /insights and the numbers held up a mirror.
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