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Comment on Why Most Startups Are Doing Data-Driven Decision Making Wrong

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Notice how ChatGPT didn’t put its thumb in the air and see which way the wind was blowing? Using a proper tool for analysis not only saves time but also adds precision. This example shows how statistical testing is no joke. Don’t rely on gut feeling or surface-level data.

Hold on - you can't just say ChatGPT "adds precision" with nothing to back it up! Acting as if ChatGPT is capable of thinking about your results better than you seems extremely unwise.

The real way that companies are doing Data-Drived Decisions wrong is by only measuring one thing without correctly thinking of other factors. For example, a website might find that having a pop-up that says "SUBSCRIBE TO OUR MAILING LIST!!!" might increase mailing list subscriptions, but you are forgetting the effects that has on other parts of your business like the website being slower, customers being less happy, etc.

Good point. The Chat GPT example was really only meant as a statsig test in a fun way.

You're totally correct in saying that forgetting the effects on other parts of the business is where a lot of the analysis needs to be directed.

Throwing ChatGPT into it distracts from the overall point you're trying to make.

Maybe ChatGPT wrote the article, and threw itself in.

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