Scenario

Meta is considering building a Duplicate Observation Tool (DOT) to detect malicious copy‑cat content (e.g., re‑uploads of the same media or near‑identical text that siphon engagement from originals). You need to make a business case and propose how to size impact.

Tasks

1. How would you approach the PM to convince them this feature is needed and estimate its impact?
2. Which existing data sources would you analyze to demonstrate the need for DOT?
3. For each proposed data source, list key pros and cons.

Hints

• Define success metrics and guardrails.
• Estimate prevalence of duplicate posts and their exposure.
• Analyze user and creator complaints.
• Quantify revenue or engagement loss attributable to duplicates.
• Propose an A/B test (or quasi‑experimental) design to measure causal impact.
• Assess data coverage, quality, and bias across products (Feed, Reels, Video), regions, and languages.