Test drive.

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.

GitHub

GitHub - shawnyeager/interview-to-roadmap: LLM prompts and methodology for turning customer interview transcripts into product roadmap recommendations

LLM prompts and methodology for turning customer interview transcripts into product roadmap recommendations - shawnyeager/interview-to-roadmap

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.

Aha! Discovery | Product Discovery Software

Aha! Discovery is the new way to manage customer interviews. Conduct customer research studies to uncover key product insights and link them direct...

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.

O’Saasy

License Agreement

Basically... the MIT do-whatever-you-want license, but with the commercial rights for SaaS reserved for the copyright holder.

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…

Shawn Yeager

Engagement is inventory

Extractive platforms profit from degrading discourse. Nostr + Bitcoin fix the incentives.

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.