Learning Ops (Learning Operations) is how learning gets produced and maintained: intake, prioritization, templates, governance, QA, publishing, reporting, and continuous improvement. It’s the system behind the content—so training doesn’t depend on heroic effort.

Content governance defines who owns what, how content gets approved, when it gets reviewed, and how changes are tracked. It prevents stale training, reduces rework, and makes updates routine instead of chaotic.

We assign owners, set review cycles, and create “expiration rules” so content gets flagged automatically. We also standardize templates and maintain a change log—so updates are fast, traceable, and consistent.

We create a release-ready workflow that connects the product roadmap to learning updates: intake → prioritization → build → review → publish → measure. The goal is to ship customer learning on a predictable cadence, not as an emergency response.

A typical buildout includes a content inventory + gap map, information architecture/taxonomy, governance model (ownership/approvals/reviews), templates + standards, QA workflow, and a pilot implementation in one track (Onboarding or Customer Education) to prove it works.

Both. I build the operating system (governance + templates + workflow) and can also create or modernize learning assets (paths, courses, job aids, SOPs, KB articles) so your team sees results immediately.

Whatever your team already uses. Common setups include an LMS (or LXP), a knowledge base (Notion/Confluence/SharePoint), authoring tools, and lightweight automation for intake and tracking. The framework is tool-agnostic; the workflow is the value.

We track metrics tied to outcomes: time-to-competency, milestone completion, adoption/activation, support ticket trends, content findability, and cycle time from request to publish. Then we use that data to prioritize improvements.