I find this piece quite potent, particularly for software builders and vibe coders in this new age of AI where you find we opt to pay per token(a string of characters) for tools. Most of these AI tools currently price Global majority markets out of the mid to high end subscription tiers. The level of nuance taken to maxize value regardless becomes a skill that could transfer well
This was really eye opening. We shouldn’t be quick to label or dismiss users just because they didn’t act like we assumed or wanted them to. We create for them, so we should work with them based on their realities, not ours.
Always love reading your substack 🥰🥰. I wanted to ask how to better use data and feedback forms to segment customers like this accurately. How can we ensure we’re interpreting their behavior correctly and not leaving these set of users behind?
It's always a pleasure reading your newsletters. It's like a class where I learn something new that I never thought of. Thanks so much for this practical knowledge you put together weekly. It's grooming people.
I had many “hmmm” moments while reading this newsletter.
It made me further understand the importance of empathy while diagnosing your user’s problem.
Yes, we want to make money but we MUST be willing to dance to rhythm of our customer segment to have a win-win situation.
Thank youuu Adia, you’re really wise🥺
I find this piece quite potent, particularly for software builders and vibe coders in this new age of AI where you find we opt to pay per token(a string of characters) for tools. Most of these AI tools currently price Global majority markets out of the mid to high end subscription tiers. The level of nuance taken to maxize value regardless becomes a skill that could transfer well
This was really eye opening. We shouldn’t be quick to label or dismiss users just because they didn’t act like we assumed or wanted them to. We create for them, so we should work with them based on their realities, not ours.
In summary, go outside and touch grass.
Thank you Adia ✨
You’re most welcome. Thanks for reading.
Always love reading your substack 🥰🥰. I wanted to ask how to better use data and feedback forms to segment customers like this accurately. How can we ensure we’re interpreting their behavior correctly and not leaving these set of users behind?
It's always a pleasure reading your newsletters. It's like a class where I learn something new that I never thought of. Thanks so much for this practical knowledge you put together weekly. It's grooming people.
Beautiful! Making products with care for the consumers not just the bottom line.
Solid! Solid! Solid!
Thank you.
🔥
Lovely writing as always.
MTN should read this
❤️ this. Great (nuanced) framing