AI × 七步 · 交付管理平台
Leadership Factory
L2 · AI 能力 AI · 用/防/留

AI 即灵魂 · 七步能力 + 三道防线

7 项提示词能力 · 3 大局限校验 · 合体 = 1 个七步 Agent
用 / 防 / 留 AI 是体验本身,不是讲 AI; 每步最易出的错都有校验动作; 每步「留」格 = Agent 一项能力。换内容不换网格 —— 这是 LF「AI×任意主题」的母版。

七步提示词库 Prompt Library

英文对齐东南亚交付 · 每条 = Day2 对应步「留」格同源 · 课后可粘贴留用
1问题界定 · ① 界定 Define
PROMPT 1 — DEFINE · Copilot Chat / Word
[PROMPT 1 — DEFINE]
You are my problem-framing partner, NOT a yes-man. I will give you a rough
problem statement from our factory. Do all of the following, in order:
1. Rewrite it as a SMART problem question (Specific, Measurable, Actionable,
   Relevant, Timely). Make the metric and deadline explicit.
2. Fill a Problem Definition Table with 7 fields: Problem(SMART) / Context /
   Decision-maker / Stakeholders / Success criteria(quantified) /
   Constraints / Scope boundary (what's in vs out).
3. CHALLENGE me: give 3 bad versions of my statement — one "too broad",
   one "no real debate", one "just a fact, not a problem".
4. List stakeholders and constraints I likely forgot.
Ask me up to 3 clarifying questions before finalizing. Do not flatter.
My rough problem: <<paste here>>
过度顺从:强制要 3 反例 + 列遗漏干系人/约束
2议题树分解 · ② 分解 Disaggregate
PROMPT 2 — DISAGGREGATE · Copilot Chat
[PROMPT 2 — DISAGGREGATE]
Break my problem into a MECE issue tree. Then:
1. Offer 2–3 alternative cuts (problem-tree vs hypothesis-tree vs process-tree).
2. For EACH cut, self-check MECE: flag any branches that overlap, and any gap
   the cut leaves out. Ask "which branch is missing?" explicitly.
3. Do NOT pretend a messy cut is clean. If a cut is not MECE, say so.
My SMART problem: <<paste from PROMPT 1>>
伪 MECE:逐支查重叠/缺口,追问「漏了哪一支」
32×2 优先级 · ③ 优先 Prioritize
PROMPT 3 — PRIORITIZE · Copilot Chat
[PROMPT 3 — PRIORITIZE]
Score each branch of my issue tree on a 2×2 of Impact (1–5) vs Movability (1–5).
1. Draft the matrix and name the top-right (high impact · easy to move) leverage.
2. CRITICAL: flag every place where you lack real shop-floor context, so the
   team can recalibrate the score. Do not present guesses as facts.
3. Output the 1–2 branches to focus on, with the reason.
My issue tree: <<paste from PROMPT 2>>
AI 不懂现场:打分须由小组用现场判断校准
4迭代工作计划 · ④ 计划 Plan
PROMPT 4 — PLAN · Copilot Chat
[PROMPT 4 — PLAN]
Draft an ITERATIVE work plan for the top 1–2 prioritized branches.
1. Start from a "one-day answer": a single testable hypothesis we could defend
   today, before any new analysis.
2. Then list, per branch: analysis to run / data source / owner / deadline /
   output form / risk.
3. Avoid a generic Gantt chart or a 50-page plan. Optimize for speed-to-answer.
My prioritized branches: <<paste from PROMPT 3>>
通用甘特/过度详尽:对齐康宁真实资源与产能
5数据分析 · ⑤ 分析 Analyze
PROMPT 5 — ANALYZE · Copilot in Excel
[PROMPT 5 — ANALYZE]
Analyze this dataset: find patterns and propose visualizations.
1. For EVERY claim, cite the exact rows/columns it is based on.
2. State your uncertainty, and list what evidence would falsify each claim.
3. Do NOT invent or impute missing values. If data is missing, say "unknown".
Treat yourself as a skeptical analyst, not an answer machine.
My (de-identified) dataset: <<paste / attach>>
幻觉证据:每个结论回链数据源,未标来源不通过
6金字塔提炼 · ⑥ 提炼 Synthesize
PROMPT 6 — SYNTHESIZE · Copilot in PowerPoint / Word
[PROMPT 6 — SYNTHESIZE]
Synthesize the analysis into a pyramid:
1. ONE governing thought (the "so-what"), 3 supporting arguments, evidence under
   each. Use SCQA for the opening.
2. Push past listing facts — keep asking "so what?" until each line is an insight,
   not a description.
3. Flag any leap where the evidence does not yet support the conclusion.
My analysis findings: <<paste from PROMPT 5>>
平庸归纳/把事实当结论:反复追问「所以呢」
7按听众定制建议 · ⑦ 建议 Recommend
PROMPT 7 — RECOMMEND · Copilot in PowerPoint / Word
[PROMPT 7 — RECOMMEND]
Turn the pyramid into recommendations, rewritten for two audiences:
1. Plant-manager version: decision + investment/ROI + risk.
2. Shop-floor version: what to do tomorrow, concretely.
State confidence as "a likely answer under these conditions", not certainty.
Acknowledge what is still unknown.
My pyramid: <<paste from PROMPT 6>>
过度自信:把结论表述为「在此条件下的可能答案」

三大局限 校验清单

全课「防」主线 · 也是 L4 认证的致命项判据 —— 没做校验 = 一票否决
过度顺从
Over-compliance / Sycophancy · ① 界定 · 防
症状你说什么它都附和「这个定义挺好」,从不挑战你的前提。
校验动作强制反向指令:不许通过,要它给 3 个反例(太宽/太窄/只是事实)+ 列出你遗漏的干系人与默认约束。AI 挑不出毛病才算过,「说好」不算数。
认证门禁试讲/认证须演一次「逼 AI 挑刺」;只会让 AI 点头 = 未掌握。
伪MECE
False MECE · ② 分解 · 防
症状议题树看着工整,实则分支重叠、或漏了一整支,假装互斥且穷尽。
校验动作逐支自检:让 AI 标出哪两支重叠、漏了哪一支;先人工搭树再对 AI 版,才看得懂它漏在哪。
认证门禁认证看是否会做 MECE 自检,而非照搬 AI 给的树。
幻觉证据
Hallucinated evidence · 开场 demo + ⑤ 分析 · 防
症状对伪命题也能自信编造数据、引用不存在的来源,看起来很可信。
校验动作幻觉证据三件套:① 标注不确定性 ② 每个结论回链确切数据源(行/列)③ 交叉验证;不臆造缺失值。未标来源 = 不通过。
认证门禁★ 认证致命项:AI 校验完全没做 → 一票否决(规格 D4-010)。

七步 Agent capstone 组装

Copilot Studio / Agent Builder七步问题分析 Copilot Agent
1
问题界定
2
议题树分解
3
2×2 优先级
4
迭代工作计划
5
数据分析
6
金字塔提炼
7
按听众定制建议

每步「留」格的提示词 = Agent 一项能力;七项装进一个 Agent,当场在 Copilot/Teams 调用走通,带回工厂界定真实问题(良率/停机/换型)。这是别家给不了的护城河资产。

⚠ 前置:Agent Builder 环境可用(待办#9 · 6/30 与客户 IT 确认)。