Facebook (Meta)

Case Study 2: Systemizing Knowledge for Global Enforcement Accuracy

Focus: Content Strategy, Information Architecture, and Governance

  • Refactored the guidelines for human tooling to determine if posts violate Business Integrity policies for paid posts to optimize content and information architecture for English-as-a-second-language users without changing meaning.

  • Conducted content audits to develop project timelines and planning and worked with cross-functional (XFN) partners to get buy in and finalize content.

  • Experimented to determine the tagging structure of the XML-based proprietary knowledge base, created process documents, and conducted training.

  • Worked with designers and developers to optimize the knowledge base through continuous improvement for the intended content.

The Challenge: Policy Content Debt

Context: Working within a Major Global Social Media/Technology Company, I was responsible for content strategy within the internal Business Integrity vertical, focusing on Commerce policies. The core policies used by human reviewers to take down posts were housed in a legacy system with critical content debt:

  • Poor Readability: Documents were extremely long (some over 60 pages), lacked clear visual hierarchy, and included non-functioning search tags.

  • Inconsistency: Policy definitions and style were inconsistent across product verticals, leading to confusion and errors.

  • Operational Risk: The poor structure directly impacted key metrics: low reviewer satisfaction, high average handling time, and inconsistent enforcement accuracy.

Goal: Refactor and migrate Commerce policies to a new, modern Knowledge Base (KB) platform without unintentionally changing the legal meaning of the enforcement rules, while achieving measurable gains in accuracy and efficiency.

My Strategy & Process

My role was the dedicated Content Strategy lead for the Commerce vertical migration, responsible for content modeling, style definition, and implementation.

Discovery & User Research (Reviewer Empathy)

  1. Reviewer Shadowing: Shadowed human reviewers to observe their workflow, understand critical decision points, and identify where content friction caused the most significant delays or errors.

  2. Content Audit: Conducted a comprehensive audit to map all existing Commerce policies, identifying redundancies, ambiguities, and structural inconsistencies.

The Solution: Content Refactoring & Modeling

I applied the concept of Content Refactoring: rewriting existing text to improve its readability, reusability, and structure without changing its core legal meaning.

  1. Information Architecture Redesign: I defined a new, standardized content hierarchy:

    • Umbrella Concepts First: Ensuring high-level rules were introduced before sub-concepts or exceptions.

    • Decision-First Structure: Created a Decision-First Protocol Style focused on clear, chronological steps and immediate yes/no pathways for fast, accurate enforcement decisions.

    • Info-First Structure: Created an alternative Info-First Protocol Style for reference material requiring detailed context, utilizing tables and scannable lists.

    • Visual Design Integration: Partnered with UX designers to create standardized content modules (e.g., call-out boxes, numbered lists, tables) that replaced large blocks of text, improving visual scanning.

  2. Content Governance: To ensure consistency across the entire organization post-migration, I created two critical governance artifacts:

    • Policy Style Guide: Defined voice, tone, terminology, and content patterns for all new policies.

    • Refactoring Guide: Provided XFN teams with instructions on how to apply the new IA models to their own policies.

Outcomes & Impact

The project successfully migrated and refactored the entire Commerce policy library and established the new standard for content governance within the organization.

Metric Improvement Strategic Result

Enforcement Accuracy +9% Increase Direct reduction in mistaken removals and improved consistency.

Reviewer Research Time -5% Reduction Directly correlated with improved IA and content scannability, leading to significant operational savings.

Platform Readiness 100% Migration Ensured the Knowledge Base was populated with structured, trackable content, enabling metric measurement.

Key Takeaway: This project demonstrated how a strategic content approach to internal tools can directly improve measurable business outcomes, transforming technical documentation from a liability into a high-performance operational asset.

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