Talk to every user without stopping work.

Setting up a study is a four-minute conversation with AskEngine about what you want to learn. After that you send a link and get on with work. Reading is optional: ask it a question when you have one, or wait for it to tell you that something changed, or that a particular user is worth a real conversation.

Yes. A study starts producing something useful after a handful of interviews, and AskEngine says how sure it is rather than dressing up three quotes as a trend. When it doesn’t have enough to answer, it tells you that too, as an open gap you can decide to fill.

ChatGPT will remember your transcripts, but it won’t go and get more of them. AskEngine runs the interviews itself, then turns each one into quotes tied to a person, beliefs with a count of how many people share them, and recommendations with the evidence attached. It keeps doing that as new interviews land, so a belief can grow, split, or fade, and a fix you shipped gets checked against what users say next. A chat window can summarize what you paste in; this is a system that keeps working after you close the tab.

Wherever you already are. The workspace has an inbox of things worth a decision, the MCP server answers questions from Claude Code or Cursor mid-task, and the REST API hands the same signals and evidence to your own code. A recommendation can be linked to a Linear or GitHub issue so the fix and its evidence stay attached.