

EchoAI Prototype V1
Some of the richest insights are from recordings of your users responding to a concept - people talking out loud, figuring out their thoughts and forming opinions on the fly. But if you ask them to write out their thoughts (for better research analysis), they don't seem to remember most of the details they were sharing just a moment ago. Or they simply don't want to take the time to write a descriptive summary. After all, they're trying to finish the study and get back to the
Mar 26, 20242 min read


Jobs to be Done and Use Cases
Biggest milestone this week - working through Jobs to be Done (JTBD) and defining use cases to further define the EchoAI product. The...
Feb 29, 20242 min read


PRFAQ: Echo, the Product Research AI
North Star Vision Product and research teams often have to source customer feedback to validate product concepts or seek out new unmet customer needs in markets looking for a better solution. The typical process usually starts with qualitative interviews: 1:1 interviews with a researcher yield large amounts of rich insights but are slow and can only be done on a small scale (less than 100). With market research tools like UserTesting and dscout, teams can source qualitative f
Feb 22, 20247 min read