Step 1
Map your data flows
Map your data flows
Identify what data you collect, from whom, where it travels, and where it is stored.
Step 2
Classify data sensitivity
Classify data sensitivity
Group data into levels (basic, sensitive, highly sensitive) and note who can access each type.
Step 3
Design consent & transparency
Design consent & transparency
Clarify how you explain data use to families and obtain meaningful consent.
Step 4
Review vendors & AI tools
Review vendors & AI tools
List each tool that handles student or family data and note key privacy considerations.
Step 5
Define access controls & logs
Define access controls & logs
Set rules for who can see what and how you track access and changes.
Step 6
Draft your incident response plan
Draft your incident response plan
Plan ahead for what you will do if there is a data issue or suspected breach.
Step 7
Connect to AI, admissions & hub
Connect to AI, admissions & hub
Tie this privacy work into your AI lesson planning, marketing, admissions, and hub systems.