I went straight to privacy concerns and GDPR-type stuff, which felt safe but I could tell they wanted more.
Acknowledge that while data can be valuable, over-collection introduces significant risks across privacy, legal, ethical, and operational dimensions. Structure your answer by categorizing these risks and then discussing how to mitigate them through data minimization and thoughtful survey design.
Pro tip: Emphasize that data minimization is not just a compliance requirement but also a strategic advantage: it reduces storage costs, improves data quality, and builds user trust. Mention that at Meta, where data is core to the business, balancing innovation with privacy is a key PM responsibility.
Explain how collecting excessive data can erode user trust, lead to privacy concerns, and potentially result in users disengaging or providing false information.
Discuss regulations like GDPR, CCPA, and other data protection laws that impose strict limits on data collection and impose heavy penalties for over-collection.
Highlight that more data can lead to storage costs, data quality issues, and analysis paralysis, making it harder to derive actionable insights.
Address the ethical responsibility to respect user privacy and the strategic need to align data collection with clear business objectives to avoid mission creep.
Propose solutions such as data minimization, purpose limitation, anonymization, and regular audits to ensure only necessary data is collected and retained.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.