
Jo Stichbury spent nine months engineering documentation, onboarding, and AI integration features for the mckinsey/vizro repository. She overhauled documentation structure and navigation using Python, MkDocs, and YAML, aligning Vizro-AI and Vizro-Core docs for consistency and clarity. Jo introduced tutorials and configuration guides for integrating Vizro-MCP with tools like Kedro, Cursor, and Claude Desktop, enabling prompt-driven dashboard creation and deployment. Her work included SEO enhancements, versioned documentation links, and AI-assisted indexing via mkdocs-llmstxt, reducing onboarding friction and support overhead. The depth of her contributions improved maintainability, discoverability, and developer experience across multiple Vizro modules and deployment environments.

October 2025 monthly summary for mckinsey/vizro focusing on documentation improvements for Vizro-MCP setup and MkDocs versioning, and formatting enhancements for VS Code installation docs. Delivered versioned links for documentation via mkdocs-llmstxt, added explicit guidance on selecting Vizro-MCP versions in setup (mcp.json via uvx), and improved docs formatting for clarity. These changes standardize documentation, improve onboarding, and reduce post-deploy support queries.
October 2025 monthly summary for mckinsey/vizro focusing on documentation improvements for Vizro-MCP setup and MkDocs versioning, and formatting enhancements for VS Code installation docs. Delivered versioned links for documentation via mkdocs-llmstxt, added explicit guidance on selecting Vizro-MCP versions in setup (mcp.json via uvx), and improved docs formatting for clarity. These changes standardize documentation, improve onboarding, and reduce post-deploy support queries.
September 2025 monthly summary for the mckinsey/vizro repository. Focused on delivering comprehensive documentation improvements, Cursor integration tutorials, and improved navigation to accelerate adoption of Vizro-MCP and reduce onboarding time. Emphasis on accuracy, maintainability, and cross-linking to support developers and product teams.
September 2025 monthly summary for the mckinsey/vizro repository. Focused on delivering comprehensive documentation improvements, Cursor integration tutorials, and improved navigation to accelerate adoption of Vizro-MCP and reduce onboarding time. Emphasis on accuracy, maintainability, and cross-linking to support developers and product teams.
August 2025 monthly work summary focusing on documentation enhancements, build optimizations, and AI-assisted tooling for Vizro-MCP. Key accomplishments include a major Docs UX/API overhaul, build pipeline simplification, and new Claude Desktop tutorial to enable dashboard creation via prompts; introduced llms.txt generation to improve AI-driven knowledge extraction.
August 2025 monthly work summary focusing on documentation enhancements, build optimizations, and AI-assisted tooling for Vizro-MCP. Key accomplishments include a major Docs UX/API overhaul, build pipeline simplification, and new Claude Desktop tutorial to enable dashboard creation via prompts; introduced llms.txt generation to improve AI-driven knowledge extraction.
July 2025 monthly summary for repository mckinsey/vizro. Focus this month was on documentation and onboarding enhancements to streamline Kedro integration and cross-host Vizro usage. No major bug fixes were recorded; the emphasis was on improving developer experience and establishing a solid foundation for future features.
July 2025 monthly summary for repository mckinsey/vizro. Focus this month was on documentation and onboarding enhancements to streamline Kedro integration and cross-host Vizro usage. No major bug fixes were recorded; the emphasis was on improving developer experience and establishing a solid foundation for future features.
May 2025 (2025-05) delivered a comprehensive Vizro Documentation Refresh and Vizro-MCP Adoption across Vizro-AI, Vizro-Core, and Vizro-MCP. This work focused on improving onboarding, discoverability, and user guidance by overhauling documentation structure, content, and navigation, and by introducing deprecation messaging for Vizro-AI. Key outcomes include alignment of Vizro-AI docs with Vizro-Core, UI/navigation polish, and icon/font updates, plus the addition of FAQs, licensing, and roadmap content to support informed usage and policy visibility.
May 2025 (2025-05) delivered a comprehensive Vizro Documentation Refresh and Vizro-MCP Adoption across Vizro-AI, Vizro-Core, and Vizro-MCP. This work focused on improving onboarding, discoverability, and user guidance by overhauling documentation structure, content, and navigation, and by introducing deprecation messaging for Vizro-AI. Key outcomes include alignment of Vizro-AI docs with Vizro-Core, UI/navigation polish, and icon/font updates, plus the addition of FAQs, licensing, and roadmap content to support informed usage and policy visibility.
February 2025 monthly summary for mckinsey/vizro: Delivered key features and documentation improvements that enhance user onboarding, deployment flexibility, and documentation reliability. Focused on enabling end-to-end chart creation and dashboard assembly via prompts, robust deployment guidance, and corrected documentation to reduce user friction and support contributor onboarding.
February 2025 monthly summary for mckinsey/vizro: Delivered key features and documentation improvements that enhance user onboarding, deployment flexibility, and documentation reliability. Focused on enabling end-to-end chart creation and dashboard assembly via prompts, robust deployment guidance, and corrected documentation to reduce user friction and support contributor onboarding.
Monthly work summary for 2025-01 focused on Vizro documentation improvements for Dash Enterprise deployment and SEO readiness. Delivered two documentation commits that clarify deployment steps for Vizro on Dash Enterprise and add a Google site verification meta tag via MkDocs override to improve search engine discoverability. No major bugs fixed this month. Impact: clearer enterprise deployment guidance, improved search discoverability, and a solid foundation for faster onboarding. Technologies/skills demonstrated: MkDocs, MkDocs overrides, Dash Enterprise deployment workflows, documentation discipline, and SEO readiness.
Monthly work summary for 2025-01 focused on Vizro documentation improvements for Dash Enterprise deployment and SEO readiness. Delivered two documentation commits that clarify deployment steps for Vizro on Dash Enterprise and add a Google site verification meta tag via MkDocs override to improve search engine discoverability. No major bugs fixed this month. Impact: clearer enterprise deployment guidance, improved search discoverability, and a solid foundation for faster onboarding. Technologies/skills demonstrated: MkDocs, MkDocs overrides, Dash Enterprise deployment workflows, documentation discipline, and SEO readiness.
December 2024 monthly summary for mckinsey/vizro: Delivered Google Site Verification Tag integration in MkDocs to enable ownership verification via Google Search Console. This targeted docs-only change improves governance and SEO readiness with minimal risk. No major bugs fixed in this repo this month. Overall impact: easier ownership verification, improved documentation alignment, and smoother onboarding for stakeholders. Technologies/skills demonstrated: MkDocs configuration, Google site verification tag deployment, version control discipline, and clear commit traceability.
December 2024 monthly summary for mckinsey/vizro: Delivered Google Site Verification Tag integration in MkDocs to enable ownership verification via Google Search Console. This targeted docs-only change improves governance and SEO readiness with minimal risk. No major bugs fixed in this repo this month. Overall impact: easier ownership verification, improved documentation alignment, and smoother onboarding for stakeholders. Technologies/skills demonstrated: MkDocs configuration, Google site verification tag deployment, version control discipline, and clear commit traceability.
Month 2024-11 — Focused effort on mckinsey/vizro to improve documentation quality and reduce false positives in doc tooling. Delivered a user-facing Documentation Refresh with clearer examples, removal of unnecessary IDs in code snippets, and reorganized authors page listing; implemented an Acronym Linting Improvement to include MIT in Vale, preventing unnecessary warnings. These changes enhance onboarding, reduce support overhead, and improve overall documentation maintainability and accuracy.
Month 2024-11 — Focused effort on mckinsey/vizro to improve documentation quality and reduce false positives in doc tooling. Delivered a user-facing Documentation Refresh with clearer examples, removal of unnecessary IDs in code snippets, and reorganized authors page listing; implemented an Acronym Linting Improvement to include MIT in Vale, preventing unnecessary warnings. These changes enhance onboarding, reduce support overhead, and improve overall documentation maintainability and accuracy.
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