
从真实的销售通话记录中克隆你的客户,并作为常设焦点小组运行——/焦点小组 Agent Skill for Claude Code、Codex、Cursor 等
概览
给克劳德一个固定的焦点小组,是你自己销售电话的克隆。 一次对准你所有的销售通话记录。它会发现隐藏在其中的3到5个客户原型,构建出一个接地气的综合形象,然后召集他们作为一个常设焦点小组,你可以向他们推销任何东西——比如优惠、卖点、价格、登陆页面、邮件——然后上线。 - ——“朱诺以3000美元买单,达娜拖延时间,问还有谁在通话中。”- ——哪些座位滚动,哪些座位靠近,带着收据。- —— 反对意见归因于在真实通话中提出的原型。- ——“你说你卖给运营线索,但每笔成交的交易都是创始人。”文字记录反驳。 Claude索引每份转录记录,提取每次通话的决策行为(他们的言辞、反对意见、价格反应),并将真实用户按购买方式而非人口统计数据归类为典型类型。
概述(AI 翻译)
给克劳德一个固定的焦点小组,是你自己销售电话的克隆。
用Claude克隆你的客户。 把它指向你所有的销售通话记录。它会发现隐藏在其中的3-5个客户原型,将每个人塑造成一个扎实的综合形象,然后召集他们作为一个常设焦点小组,你可以向他们推销任何东西——比如优惠、挂钩、价格、落地页、邮件——然后才正式上线。
人们实际用它做什么
- 价格测试 — “朱诺以3000美元买入,达娜拖延时间,问还有谁在通话中。”
- **标题和标题——哪些座位滚动过去,哪些座位靠近,附有收据。
- 落地页和邮件拆解——在真实通话中提出的反对意见归因于提出这些问题的原型。
- ICP更正 — “你说你卖给运营线索,但每笔成交的交易都是创始人。”文字记录会反击。
它是如何运作的
设置(一次): Claude索引每份转录,提取每次通话的决策行为(他们的言辞、反对意见、价格反应),并将真实的人按“购买方式”而非人口统计数据按原型分组。
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
/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.
- 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.
- Moderator pass — extracts the 2-3 sharpest splits. Adds zero opinions.
- Round 2 — only the contested seats, shown just the opposing take, with an anti-convergence instruction. Position flips are recorded as high-value events.
- Readout — reports the distribution, never resolves it: unanimous points, splits with attribution, top objections with receipts, what would flip each holdout.
- 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
推荐工具
换一个关键词,或者移除筛选条件。
安装
npx skillfish add bradautomates/focus-group