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.
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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
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
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...
