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bradautomates/focus-group

Developer tools

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31 stars 品質 62 トレンド 16MIT

Clone your customers from real sales-call transcripts and run them as a standing focus group — /focus-group Agent Skill for Claude Code, Codex, Cursor, and more

概要

Give Claude a standing focus group cloned from your own sales calls. Point it at all your sales call transcripts once. It discovers the 3-5 customer archetypes hiding in them, builds each into a grounded composite persona, then convenes them as a standing focus group you can pitch anything to — an offer, a hook, a price, a landing page, an email — before it goes live. - — "Juno buys at $3k, Dana stalls and asks who else is on the call." - — which seats scroll past, which lean in, with receipts. - — objections attributed to the archetype that raised them on real calls. - — "you say you sell to ops leads, but every closed deal was a founder." The transcripts talk back. Claude indexes every transcript, extracts decision behavior per call (their words, their objections, their price reactions), and clusters the real people into archetypes by how they buy — not demographics.

README

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/focus-group

Give Claude a standing focus group cloned from your own sales calls.

Clone your customers with Claude. Point it at all your sales call transcripts once. It discovers the 3-5 customer archetypes hiding in them, builds each into a grounded composite persona, then convenes them as a standing focus group you can pitch anything to — an offer, a hook, a price, a landing page, an email — before it goes live.

/focus-group                              # first run: analyze transcripts + confirm panel
/focus-group "$3k tier for the workshop"  # pitch the panel anything
/focus-group rebuild                      # ingest new transcripts incrementally

What people actually use it for

  • Price tests — “Juno buys at $3k, Dana stalls and asks who else is on the call.”
  • Hook and headline reads — which seats scroll past, which lean in, with receipts.
  • Landing page and email teardowns — objections attributed to the archetype that raised them on real calls.
  • ICP correction — “you say you sell to ops leads, but every closed deal was a founder.” The transcripts talk back.

How it works

Setup (once): Claude indexes every transcript, extracts decision behavior per call (their words, their objections, their price reactions), and clusters the real people into archetypes by how they buy — not demographics. Then it shows you what it found — “here are your archetypes, and here’s who your customer appears to be” — you rename, merge, or cut seats and correct the ICP. Your corrections plus the closed/won patterns become business.md, and each confirmed archetype becomes a named fictional composite with a dossier: identity, buying journey, objection map, style guide, a 20-30 line quote bank, and a coverage map of what it can and can’t speak to.

Run (every time): a moderated panel, not an LLM council.

  1. Round 1 — one isolated subagent per seat, loaded with only its dossier and prior positions. Each emits a pre-verbal signal (attention / valence / arousal) before any words; clones can shrug (“I’d have scrolled past this”) or flag NO-DATA.
  2. Moderator pass — extracts the 2-3 sharpest splits. Adds zero opinions.
  3. Round 2 — only the contested seats, shown just the opposing take, with an anti-convergence instruction. Position flips are recorded as high-value events.
  4. Readout — reports the distribution, never resolves it: unanimous points, splits with attribution, top objections with receipts, what would flip each holdout.
  5. Live room — stay in and grill any clone (“Dana, what if it’s half price?”).

Every objection or enthusiasm must trace to dossier evidence or be tagged as extrapolation. Disagreement is the product — nothing ranks, synthesizes a winner, or manufactures consensus.

Composites, never real people

GitHub で README 全文を見る

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インストール

npx skillfish add bradautomates/focus-group
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