Clarifying and enriching technical content
This example shows how I turn underdeveloped documentation into documentation that users can trust. I refactored the content to improve accuracy, clarity, and usability. The revised version introduces a more user-friendly structure, adds explanations, and provides illustrative, comprehensive examples that helps users understand the feature.
Transforming technical drafts into user-focused documentation
This example shows how I create documentation from developer-provided drafts. The initial draft for model guardrails provided only a minimal API update.
In addition to improving the submitted draft, I provided the following additional content:
- A clear introduction explaining what guardrails are and why they matter
- Prerequisites
- Complete step-by-step setup instructions
- Explanation of testing the feature
The final version guides users through the entire process, from initial setup to verification, transforming a basic feature description into a practical implementation guide.
Improving information architecture
This example shows a redesign of the vector search content information architecture.
The original vector-search-related documentation was scattered across unrelated sections, with key content buried deep under Search features. This made it hard for users to find relevant material and understand how to use vector search.
To improve discoverability, usability, and user onboarding, I reorganized and expanded the vector search documentation:
- Created a dedicated top-level Vector search section to consolidate all related content.
- Organized topics in a logical progression from beginner to advanced.
- Added a Getting started section for new users.
- Included a mix of conceptual guides, step-by-step tutorials, and reference docs.
- Made task-based content like Creating a vector index and Searching data easier to access.
- Cross-linked related topics and added ‘Next steps’ guidance at the end of each page.
The redesign improved clarity, reduced onboarding time for new users, and made the advanced capabilities of vector search more approachable. It also strengthened SEO by exposing key terms and common entry points.