Review member-submitted ideas and support the topics you would attend.
4 proposals
Design a retention workflow that removes sensitive data without breaking product history.
A practical two-hour session on Privacy-Respecting Analytics, focused on Events, Consent, Retention, and Data Quality. Attendees work through concrete engineering tradeoffs, review examples, and leave with a checklist they can apply in real team projects.
Design member data collection that is respectful, useful, staged, and easy to correct.
Design log, trace, and error-reporting rules that preserve debugging value without leaking data.
