Prompt Engineering for Products

Prompt Engineering for Product Work là gì?

Prompt engineering for products là skill thiết kế AI-assisted workflow để research, synthesize, draft, critique, test and document product work. PM không chỉ viết prompt hay; PM phải cung cấp context đúng, kiểm tra nguồn, đánh giá output bằng rubric, bảo vệ privacy và quyết định bằng judgment.

Prompt template for PM tasks

Role: You are [expert role].
Context: [product, customer, constraints, source material].
Task: [specific output needed].
Inputs: [paste notes/data/docs].
Output format: [table/memo/checklist/stories].
Quality bar: [rubric, edge cases, tone, evidence].
Ask back: If critical info is missing, list questions first.

Use cases and checks

Case study: turning interviews into opportunity memo

PM feeds anonymized interview notes, asks AI to separate raw quotes from interpretations, cluster by pain, and draft opportunity statements. PM then checks each insight against source notes, removes unsupported claims, and writes final recommendation.

No-nos

• Uploading private customer data without policy review.
• Asking AI to invent evidence or cite unknown sources.
• Using output as final decision without human review.
• Prompting too broadly: “write PRD” without context and constraints.
• Ignoring bias, hallucination and stale data.

Definition of done

• Prompt includes role, context, task, inputs, output format and quality bar.
• Output is checked against source evidence.
• Privacy and security constraints are respected.
• AI use accelerates judgment; it does not replace it.