Don’t settle for faster noise. Aim for faster truth. From my experience building data-science models and AI over the past few years and finally, experimenting with publicly available LLMs, most of them fall apart when we ask deeper, product-critical questions.
Everyone thinks they understand their customers—so why are engagement dropping, churn rising, and deals slipping through the cracks? We unpack the hidden gap between collecting feedback and actually building what customers need.
Customers, friends, and even the occasional coffee shop stranger often ask why I built Riley, and how it’s different from just layering ChatGPT on top of feedback. The short answer: summarization isn’t understanding...
AI can help us all become super researchers, but only if we leverage it correctly. Discover how to maximize AI’s strengths and navigate its limitations so you can make your insights practice shine...
.png)
.jpg)
