Test drive. image
High quality customer interviews are a superpower for figuring out which features to build and which to kill. I've conducted hundreds over the years, working toward product-market fit. tl;dr When you ask the right questions, body language tells you what matters most. Transcripts tell you the rest. Here's a complete LLM prompt framework to get started, created from my real-world usage, including the exact interview script I follow. The bare-bones MVP is that you clone this repo, point your LLM at a directory of transcripts, and tell it to go. === Free idea: build a lightweight version of this, but on freedom tech. Potential components: @Soapbox Shakespeare + jitsi for video + blossom for video storage (encrypted?) + @routstr or @Maple AI for post-interview transcription and—most importantly—patterns and insights from a campaign of interviews
Discuss.
I've been thinking a lot about how best to explain the benefits of building on nostr—what's different and why one should care. Not just what we're running away from… But what we're moving toward. I asked @Pip the WoT guy to help, specifically with web of trust, and we recorded it on @Trust Revolution. Full episode coming Thursday.