Senior Technical Writer · Certified E-Learning Designer · Certified ScrumMaster (CSM®) · AI-Augmented Practitioner
A writer's heart, a strategist's mind, and a trainer's soul
Active Development
Technical Writing in Agile Scrum is a three-course training series for Technical Writers, also to support the Product Owners, Scrum Masters, and Developers with whom they work. The series provides tailored professional development in three stages:
The research is complete and the series is moving into single-sourced production. PDF manuscripts are available.
One practitioner — Five closely inter-related disciplines
Documentation that releases with (or ahead of) the product or solution — not weeks afterward
Technical Writing for Software & API Documentation
Enterprise-grade reference documentation, onboarding guides, user manuals, release notes, and online help systems — written for developers, network administrators, and end-user audiences in equal measure, supporting the full spectrum of content delivery strategies.
E-Learning & Instructional Design
Adaptive learning programs, Articulate Storyline and Rise course development, full storyboarding and narration scripting, LMS administration, and learner-centered content design grounded in adult learning theory.
Agile Scrum & Docs-as-Code
Documentation embedded directly inside sprint cycles — using Git, GitHub, Jira, Confluence, and CI/CD pipeline integration. Built to align publication with software release schedules, not lag behind them.
Content Strategy & UX Writing
Style guide development and deployment, plain language standards, audience-centered content architecture, and UX writing for enterprise software and web platforms — designed to reduce the burdens of Technical Support and improve user outcomes at scale.
AI-Augmented Workflows
Applied proficiency across 12 AI platforms — including Claude, ChatGPT, Gemini, Midjourney, and AI video and image generation platforms — integrated into technical writing, content planning, research, and e-learning development as formal professional practice, not experimentation.
◆"Areas of AI augmention emphasize subject matter research, audience research, with personally directed content design, development, and delivery. Areas of AI assistance emphasize automation of recurring tasks, and synthesized processing of fragmented content sources for my initial evaluation. Personal initiation, administration, and governance of all AI integration and outcomes remain my responsibility in all cases."
— Vincent Francis, June 2026