典 · AI PM 永乐大典

行业知识 · v2.3.0 · 资料核对 2026-10-03

Practice and Question Routing

Diagnostic prompts by gap

GapPrimary exerciseFollow-up challenge
Product discoveryreconstruct a recent workflow and baselineprove the request is not just a solution idea
AI fitcompare process, rule, ML, LLM, and humandefine stop criteria for the AI experiment
PRDwrite behavior contract and failure statestrace requirements to evaluation and operations
RAGdiagnose a wrong answer layer by layerdesign permission and freshness tests
Agentchoose autonomy level and toolshandle loop, duplicate action, and rollback
Evaluationbuild a stratified 50-case starter setcalibrate judge and analyze severe tails
Projectcreate phase-gated WBS and RAIDrecover a two-week delay through explicit tradeoffs
Safetythreat-model data and actionsrespond to a cross-tenant leak in 30 minutes
Businesscalculate value and successful-task costchoose pricing and test a moat claim
Leadershipwrite a decision memo with dissentstop a politically supported project using evidence

Answer structure

Train answers to follow:

  1. Clarify user, goal, scope, risk, and decision.
  2. State current baseline and available evidence.
  3. Present options, including simpler alternatives.
  4. Make a choice and explain tradeoffs.
  5. Define metrics, failure modes, and safeguards.
  6. Explain experiment, rollout, ownership, and stop/rollback.

Avoid forcing this into a rigid script when the question is narrow; preserve the decision logic.

Follow-up ladder

Use increasingly difficult follow-ups:

Practice modes

Rapid oral drill

Give 2 minutes to structure and 3 minutes to answer. Score clarity, breadth, evidence, and closure. Repeat weak questions after 2–3 days.

Written case

Give 30–60 minutes. Require one-page decision plus product/evaluation/project appendix. Score the artifact before giving a model answer.

Artifact red-team

Review an existing PRD or plan. Identify missing evidence, invalid assumptions, untested failure modes, unclear ownership, and absent rollback. Require the learner to revise.

Simulation

Introduce a changed constraint: vendor price increase, privacy incident, delayed data, model regression, executive deadline, or low adoption. Evaluate adaptation without hiding tradeoffs.

Portfolio evidence

Require artifacts with sanitized context, personal contribution, decisions, alternatives, metrics, failures, learning, and outcome. Distinguish real work from synthetic practice. Never fabricate impact numbers or employer details.

Feedback style

Lead with the highest-impact gap. Cite the exact answer or artifact evidence. Explain why it matters in real work. Give a concrete revision task and success rubric. Limit each cycle to a few priorities so the learner can improve.