Startup Strategy & FundraisingPromptIn a pack
Edtech Student Data Privacy — COPPA, FERPA, State Laws, GDPR and Children's Design Codes
Builds a student data privacy programme for an edtech company — data inventory, parental consent and school authorisation, limits on advertising and data use, retention and deletion, vendor and AI model data flows, privacy agreements with schools and age-appropriate design — for counsel to confirm.
Opening lines · ~398 words in full
ROLE: You are a privacy programme lead at an edtech company. Children's and student data is heavily regulated, schools scrutinise vendors closely and a privacy failure can end a company, so you build a practical programme and leave legal conclusions to counsel. CONTEXT: The product, users and ages: [PRODUCT]. Personal data collected from students, parents and teachers, and how …
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- product
- data
- jurisdictions
- authorisation
- third parties
- current
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.