This felt deceptively simple and I kind of walked into it too fast.
Start by clarifying the goal of verification badges—whether to increase trust, reduce impersonation, or create a revenue stream—and then evaluate the decision through a structured framework that weighs user value, business impact, and risks. Use data and user research to inform trade-offs, and consider both short-term and long-term implications for Instagram's ecosystem.
Pro tip: Acknowledge that verification is a double-edged sword: it can enhance trust but also create a two-tier system that alienates users; propose a phased approach with clear success metrics to mitigate risks.
Clarify what problem the verification badge solves (e.g., authenticity, safety, monetization) and define measurable goals such as reduced impersonation reports or increased creator engagement.
Evaluate how the feature benefits users (trust, credibility) and the business (revenue, retention), and consider potential negative impacts like user backlash or inequity.
Examine technical, operational, and policy challenges, including verification criteria, scalability, and potential for abuse or legal issues.
If considering paid verification, analyze willingness to pay, competitive landscape (e.g., Twitter Blue), and impact on brand perception and user trust.
Synthesize findings into a clear recommendation, prioritizing based on impact and effort, and propose a phased rollout with metrics to track success.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.