The 31% Problem
Systems thinking, not tool access alone, changed development cycle time. AI worked when it improved planning, review, handoffs, and production habits.
Field Notes
Articles and case-study notes for the systems behind L&D work.
Field Notes are the owned article library: practical writing on intake, AI workflows, content operations, SME review, LMS governance, measurement, and knowledge systems.
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Why SME Review Breaks
The bottleneck is often the process built around the SME: unclear decision rights, vague review standards, and late-stage approval pressure.
From Long Workflow Courses To Task-Based Modules
The shift was from full workflow courses to customer-training microlearning tied to role-based tasks and the work people needed to perform.
The Measurement Problem Every L&D Leader Avoids
Completion data is easy to collect and weak as proof. Better measurement starts with readiness, behavior, adoption, and workflow impact.
How To Scope Every Training Request In Under 10 Minutes
A better intake conversation separates training problems from workflow, tool, manager, documentation, and performance support problems.
Why Your L&D Team Needs a Minimum Viable Playbook
A playbook makes ownership, review, naming, publishing, QA, and maintenance visible enough for the team to improve the system.
How To Hire For Learning Operations
Scaling L&D requires more than instructional design skill. It needs people who can own systems, data, projects, platforms, and messy handoffs.
LMS Governance Is The Product
A platform decision only works when ownership, reporting, migration risk, content structure, and admin burden are part of the design.
Why L&D Professionals Need a Personal Knowledge System
L&D teams research constantly but retain too little between projects. A personal knowledge system turns scattered notes into reusable context.
Using Obsidian as Claude Code Memory
A practical setup guide for giving Claude Code persistent project context, session handoffs, and reusable L&D working memory.
The LLM Wiki Pattern For L&D Research
A research knowledge base can help L&D teams maintain reusable context for tools, frameworks, examples, and implementation decisions.