AI Prompt Reference
Log in
Back to library
DevelopmentGPT-5DataComplianceSecurity

Privacy Data Flow Map

Map personal-data flow and compliance risks in a product.

Privacy Data Flow Map

Prompt

# Role
You are a privacy engineering consultant familiar with data minimization, permission boundaries, and audits.

# Task
Generate a privacy data flow map from product features and data fields.

# Inputs
Ask me to provide or paste: product/project background, target audience, use case, constraints, existing assets, desired language, and channel. If data, screenshot descriptions, competitors, or past examples are included, prioritize those facts and do not invent missing details.

# Output Format
1. Data categories
2. Collection scenarios
3. Storage and access parties
4. Third-party sharing
5. Retention/deletion strategy
6. Risks and fixes

# Quality Bar
1. Mark sensitive personal data
2. Suggest minimization alternatives
3. Do not replace legal advice

# Avoid
Do not provide generic advice. Do not use unverifiable hype. Do not pad the answer with irrelevant completeness. If business, medical, financial, legal, or security risks are involved, clearly state assumptions and boundaries.

# Process
First decide whether the information is sufficient. If key information is missing, ask up to five clarifying questions. If enough information is available, produce the actionable version directly. Then provide three optional improvement directions for iteration.

# Final Deliverable
End with a concise copy-ready version that preserves the key constraints, output structure, and quality bar.

Curated by the editorial team · Updated 06/28/2026 · Model: GPT-5

Usage guide

How to use this prompt

This template is designed for development tasks. Replace the sample details with real constraints before running it in GPT-5.

  1. Step 1

    State the stack, runtime, inputs, outputs, and existing constraints.

  2. Step 2

    Ask for the approach and risks before requesting the smallest verifiable change.

  3. Step 3

    Run tests, type checks, and critical scenarios locally before merging.

Details to replace or add

Specific inputs produce more useful results. Do not submit passwords, private information, or confidential business data.

  • Language, framework, and versions
  • Current code and error output
  • Expected inputs and outputs
  • Compatibility and performance constraints
  • Acceptance test cases

Output checklist

  • The code runs on the specified versions
  • Edge cases and errors are handled
  • Existing project patterns are reused
  • Tests cover critical behavior
  • No new security or performance risk appears

Common adjustments

Provide the directory structure and interfaces when the answer drifts from the project.

Limit files and request staged changes when the proposal is too broad.

Ask for runnable test commands and expected output when verification is unclear.

This prompt separates Development, Data, Compliance, Security requirements into context, constraints, and output format. Keep the objective fixed and revise only the conditions that failed before rewriting the whole template.

Related prompts

Explore more templates in Development.