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Bộ mẫu quản lý sản phẩm AI

Đưa tính năng AI từ ý tưởng đến ra mắt: canvas cơ hội, tiếp nhận, PRD copilot, chỉ số, review tương tác người-AI, đánh giá, chi phí, review ra mắt và giám sát.

Bước 1

Định hình bài toán

  1. AI Opportunity Canvas Template

    Đầy đủ

    AI problem framing: is AI needed, value hypothesis, data availability, feasibility, risk tier preview, success metrics, non-AI alternatives, go/no-go

    Industry practice; PAIR People + AI Guidebook; EU AI Act screening (Art. 5, 6, 50)

  2. AI Use Case Intake and Risk Tiering Template (EU AI Act)

    Chuẩn

    Screen a proposed AI use case: data, affected people, AI Act prohibited/high-risk/transparency questions, tier, reviews

    EU AI Act (Regulation (EU) 2024/1689) Articles 5, 6, 50 and Annex III, as amended by Regulation (EU) 2026/1744
Bước 2

Yêu cầu

  1. Copilot and Agent PRD Template

    Đầy đủ

    Copilot and agent requirements: jobs, autonomy levels, actions and undo, approval points, eval acceptance criteria, latency and cost, failure UX, rollout

    Industry practice; Guidelines for Human-AI Interaction (CHI 2019); PAIR Guidebook

  2. AI Feature PRD Template

    Đầy đủ

    PRD for an AI-powered feature: why AI, failure and uncertainty UX, metrics, eval thresholds, cost per request, rollout

  3. Metric Definition Template (KPI)

    Chuẩn

    One metric or KPI: business question, plain definition, formula, grain, SQL sketch, filters, targets, caveats

  4. Human-AI Interaction Review Template (HAX Guidelines)

    Đầy đủ

    Design review on the 18 Guidelines for Human-AI Interaction: scenarios, evidence log, ratings and severity per guideline, scorecard, trade-offs, findings

    Guidelines for Human-AI Interaction (Amershi et al., CHI 2019); Microsoft HAX Toolkit
Bước 3

Kiểm chứng

  1. Human Evaluation Protocol Template

    Đầy đủ

    Task and rubric, rater recruitment and training, ethics and consent, sample size, blinding, Cohen's/Fleiss' kappa, Krippendorff's alpha, QC, analysis

    Human Evaluation Datasheet (HumEval 2022); van der Lee et al. 2021

  2. LLM Evaluation Plan Template

    Đầy đủ

    LLM app evaluation: test sets and red team, metrics, LLM-as-judge calibration, human review, CIs, release gates

  3. LLM Inference Cost Model Template

    Đầy đủ

    Cost per request and task, tokens in and out, caching and routing scenarios, self-hosted GPU vs API break-even, utilisation, sensitivity table, cost guardrails

Bước 4

Phát hành và chuyển giao

  1. AI Launch Readiness Review Template

    Đầy đủ

    Launch scope and tier, 18 AI gates with owners, eval results vs thresholds, red team findings, Article 50 and register checks, exceptions, go/no-go, post-launch

  2. AI System Card Template

    Đầy đủ

    System-level card for a deployed AI product: components, uses, limitations, safety and bias evals, red-teaming

  3. AI Content Transparency and Marking Plan Template (AI Act Art. 50, C2PA)

    Đầy đủ

    Article 50 role and scope, interaction disclosure, C2PA and watermark marking, robustness tests, labels, exceptions, Code of Practice mapping, China labelling

    EU AI Act Art. 50 (Reg. (EU) 2024/1689 as amended by 2026/1744); Code of Practice on Transparency of AI-generated Content (2026); C2PA 2.4
Bước 5

Vận hành

  1. AI Post-Market Monitoring Plan Template (EU AI Act Article 72)

    Chuẩn

    Post-market monitoring plan for a high-risk AI system: data collection, thresholds, reviews, Article 73 incident reporting

    Regulation (EU) 2024/1689 as amended by Regulation (EU) 2026/1744, Articles 72 and 73

  2. LLM and Agent Incident Postmortem Template

    Đầy đủ

    LLM and agent postmortem: impact, harmful output, data exposure, timeline, trace replay, eval regression, AI failure taxonomy, actions, notification check

    NIST SP 800-61 Rev. 3; EU AI Act Art. 73; GDPR Art. 33-34; NIST AI 100-2 E2025