Making sense of what you heard
One messy conversation becomes one Customer Forces Story — and the pattern emerges across them.
Your job: synthesize every interview into a Customer Forces Story, then find the pattern across them.
Synthesize my interviews Read `interviews://recent` (use `list_recent_interviews` for the full set). Extract the four forces from each, synthesize the recurring stories, and surface the single strongest reason my problem hypothesis might be wrong. claude mcp add --transport http leanspark https://leanspark.ai/mcp Connect first →
What you get back
You record and upload; LEANSpark transcribes each one, extracts the four forces, and writes the Customer Forces Story — then synthesizes across the set and lays supporting evidence next to disconfirming evidence.
A Customer Forces Story per interview — Push: "the booking system kept double-charging"; Pull: "I just wanted one dashboard" — plus the recurring stories across them and the two evidence columns, saved onto your canvas.
A 45-minute conversation is a pile of raw signal. The work is turning it into something you can act on — and the discipline that does it is the Customer Forces Story: a short synthesis, in your own words, of what pushed them, what pulled them, what they had to overcome, and what almost stopped them. Not a transcript. A book report.
The trap at this stage is hearing what you hoped to hear. After a few interviews, you start hearing what you came to hear — quietly building a confident case for the idea you already loved. Read your notes back and you’ll catch yourself skipping every quote that didn’t fit. The antidote is to force the disconfirming evidence into the light, side by side with the supporting evidence, and ask honestly which list the data actually backs.
What used to take all night, LEANSpark does in minutes
Writing up forces stories by hand, interview after interview, is exactly the kind of work that kept founders up past midnight. It’s also exactly the kind of work AI is good at. Record the conversation, drop it into LEANSpark, and get the structured Customer Forces Story back — written straight onto your canvas, with the pattern across interviews already emerging. Your scarce energy goes into the listening and the judgment, not the transcription.
Most markets have three to five stories. You’re not collecting infinite data. Patterns emerge fast — a handful of recurring forces stories covers most of a market. When new interviews stop changing those stories, you’ve heard enough.