Build Faster Feedback Loops Using Qualitative User Research
Summary
The article argues for early, qualitative feedback in startup product development, using design sprint methods to test hypotheses with real users. It notes that AI tools can accelerate research but should not replace human conversations, and outlines key activities like recruiting participants, crafting research guides, and conducting interviews. It also announces a series from CodeYam that will share practical, real-world examples.