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Not sure I can agree with this. Many customers WANT to know whether their running shoes are Made in China or even worse and whether the designer is an actual person they might know by name. Unless you sell dirt cheap stuff.
This point is so important for founders...
"Try to prove yourself wrong rather than right. I’m starting here because this process is often the opposite of what we do when we’re developing product. We tend to start with an idea for a product or feature, then try to find use cases for it, from those use cases we then intuit which problems we’re really solving, and finally, who may want to use or buy this product."
I attended Reforge in Fall 2017, and I can confidently say there's no training opportunity for growth professionals that even comes close. I'm still pouring through the content almost a year later, it's truly timeless insight that has changed my entire approach to growth and career development. S/O to @bbalfour for putting in so much hard work, it's worth every penny.
Very useful post, thanks!
I'm always sceptical of vague % increase claims; I want to know the actual numbers and the metrics they're using for that claim as well . Growing from 1 user to 100 free trials accounts might look great if you phrase it as "100% user growth", but chances are that's going to have little impact on the bottom line and health of the brand.
Yeah, all those "how we grew by 11.524% in 6 weeks" posts have to be taken with a grain of salt to say the least.
I think this should be a precursor to reading any growth content.
Great post! Thank you, it was very informative.
What would be your suggestion when dealing with a small group of data? For the past couple months I have been focused on making sure the data we collect is clean and organized. However, at this point, I feel that there still isn't quite enough to properly identify trends. Should I simply continue to make sure the data is clean and well organized until we have more? As you suggested, I don't want to run an analysis and come out with a bunch of BS conclusions.
Anything by Andrew is awesome and worth considering if you're running experiments. He published some of my favorite posts when I was at CXL, including:
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