Thoughts, articles, and resources on software development, SaaS, and digital growth.
Sample size is one of the most common points of confusion in research planning. Get it wrong in either direction and your findings suffer. Here is how to think about it across surveys, qualitative interviews, and usability testing.
The constraint on most research teams is not intelligence or expertise. It is time spent on work that does not require either. Here is what changes when that layer gets automated.
A research project takes weeks to run and weeks more to deliver. Markets do not pause while you are in the field. Here is what that means for how findings land, and what to do about it.
Most reviews of AI research tools are written by people who have never run a research project. Here is what actually matters when your name is on the report.
Most research is still done in projects. A brief arrives, fieldwork runs, a report goes out. Then nothing for another year. Here's why that model struggles to keep up, and what a continuous approach looks like in practice.