I went straight to trust and credibility, talked about user perception of verified accounts and whether that drives engagement.
Start by clarifying the purpose of verified badges—authenticity and trust—then define a north-star metric that captures whether badges achieve that purpose, such as the rate of impersonation reports on verified accounts. Support your choice by linking it to user trust and platform integrity, and briefly discuss trade-offs with other metrics.
Pro tip: Acknowledge that the 'most important' metric depends on the product goal—if the goal is trust, then a trust-related metric like impersonation reports per verified account is more meaningful than vanity metrics like badge count.
Explain that verified badges exist to confirm authenticity and reduce impersonation, thereby building user trust and safety.
Propose a metric that directly measures the badge's success in achieving its goal, such as the rate of impersonation reports on verified accounts.
Mention complementary metrics like user trust surveys, badge application approval rate, or engagement with verified accounts to provide a holistic view.
Acknowledge other possible metrics (e.g., number of verified accounts, badge coverage) and explain why they are less indicative of the badge's core purpose.
Summarize how the chosen metric ties to Meta's broader goals of integrity, safety, and user trust.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.