01
Identify the Pattern
Review customer requests, project work and feedback from customer-facing teams.
Content strategy & customer enablement
The Content Marketplace grew from a pattern: customers across different industries were repeatedly asking for help with many of the same learning topics.
Customers needed content for safety, compliance, operational performance and other common workplace needs. Although their organizations were different, many requests covered the same topics.
Addressing each request as a separate custom project required additional customer time and investment while creating repeated work for internal teams.
The goal was to develop a centralized library that helped customers launch quickly, extended the capability of smaller learning teams and allowed them to focus internal resources on content unique to their organization.
The opportunity was not simply to produce more content. It was to build a content system that could grow while remaining relevant, accurate and manageable.
Led the strategy, governance and continued evolution of the Marketplace alongside a talented team responsible for instructional design, writing, visual design and production.
My responsibilities included identifying recurring needs, setting portfolio priorities, defining standards, making build-buy-partner decisions, working with customer-facing teams, engaging customers and subject matter experts when validation was needed and overseeing maintenance, localization and quality.
The Marketplace was a team achievement, made possible by people who brought strong instructional, creative, technical and customer expertise to the work.
We created a disciplined way to identify, prioritize, validate, design and maintain shared content.
01
Review customer requests, project work and feedback from customer-facing teams.
02
Consider cross-customer relevance, performance impact, demand, credible sources and maintenance.
03
For selected topics, involve customers and subject matter experts to confirm accuracy and usefulness.
04
Use short videos, reinforcement questions, scenarios, job aids or SCORM assets based on the need.
05
Set standards for quality, sources, review, naming, versions, updates, retirement and localization.
06
Use feedback, technology and portfolio data to strengthen the operating model over time.
Some topics were best developed internally because they required close alignment with our methodology or customer needs. External providers could add specialized expertise or capacity in other areas.
I led the evaluation with input from the team, considering instructional quality, accuracy, relevance, maintenance, customization, cost, development time, accessibility and localization. When an external approach did not meet our standards, we adjusted the model rather than allowing speed or volume to compromise the customer experience.
As AI-powered tools became available, we explored how they could support early drafts, alternative examples, reinforcement questions, translation, localization, visual elements, audio narration and selected production tasks.
Human review remained essential for accuracy, learning quality, tone, accessibility and relevance. These improvements helped reduce the development and release timeline for selected new topics from approximately 12 weeks to 6–8 weeks.
This case study reflects my professional experience. It does not include customer names, confidential business information, proprietary learning content or internal documentation. I would be happy to discuss the initiative and my contribution in greater detail.
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