Oracle CE Intelligence Training
Designing training for evolving products by collaborating closely with development teams and building content that scales alongside the software.
Designing training for evolving products by collaborating closely with development teams and building content that scales alongside the software.
Screen from video showing example of new AI feature included in Analytics half of application.
Screen from CIC assessment that is in progress of being updated for CEI Analytics half of application.
This project focused on designing self-guided eLearning built around video and software simulations for Oracle Construction & Engineering Intelligence Analytics. The training needed to support both external customers and internal sales and support teams responsible for adoption, troubleshooting, and renewal conversations.
The product itself was evolving rapidly. Training content needed to cover two distinct components of the application, remain accurate as features changed, and allow for new content to be added as development continued. Because the training was delivered asynchronously, it also needed to be clear, navigable, and usable without instructor support.
Oracle Construction & Engineering Intelligence was a new product with two major components, and there was no existing documentation at launch. All product information came directly from development teams, with no guidance from sales or marketing around customer use cases, feature rationale, or how the application was being positioned in the field.
At the same time, I had previously developed training for Oracle Construction Intelligence Cloud, the predecessor to this product. While some workflows carried over, others had changed significantly, and one component had undergone a complete redesign. The challenge was to determine what content could be migrated, what needed to be updated, and where entirely new training was required—while the product itself was still actively being built.
The primary goal was to provide complete coverage of existing workflows that carried over from Oracle Construction Intelligence Cloud while designing new training for functionality introduced through the redesigned component. Beyond initial coverage, the training needed to be structured in a way that allowed it to evolve alongside the product.
A secondary goal was to support the growing sales and marketing teams by identifying and addressing gaps in content from their perspective. This meant ensuring the training explained not only how features worked, but also how they could be used to support customer needs and product value conversations.
I began by reviewing all existing training content from Oracle Construction Intelligence Cloud, including workflows such as building datasets, creating visualizations, and assembling presentations. I then worked through those same workflows in the new application to identify what still worked, what had changed, and what was no longer applicable.
These findings were brought directly to the development team to clarify missing functionality and to understand which gaps were temporary versus still in active development. To establish baseline coverage ahead of launch, I re-shot videos focused on core concepts and high-value workflows, ensuring that foundational content was available as early as possible.
Once the baseline content was in place, I shifted focus to newly introduced functionality, including features that incorporated AI. As I explored these areas, I documented questions and points of friction from the perspective of an end user, capturing both usability concerns and potential workflow ideas. These questions were reviewed with development before new training content was designed, ensuring accuracy and alignment.
In parallel, I attended working sessions with an existing technical support team responsible for the Advisor component of the application. These sessions provided insight into how this part of the product was used in practice and informed the development of targeted training that clearly communicated its value to users.
Prioritized workflow-based coverage over feature-by-feature explanations to reflect how users actually worked in the application.
Established early baseline content to support launch readiness while allowing room for iteration.
Treated training as an evolving product rather than a one-time deliverable, enabling ongoing updates as features matured.
The final solution included two courses totaling 78 minutes of content, consisting of 22 videos in one course and 6 videos with a supporting Rise page in the second. Content was updated and expanded over a two-month period leading up to the product launch.
In the first quarter after release, engagement matched that of the previous product, with 1,850 unique viewers across all video content. This continuity indicated that users were able to transition to the new platform without a drop in adoption despite significant changes to the application.
The training became a foundational resource for customer onboarding, ongoing education, and internal enablement, supporting both product adoption and subscription renewal goals.
Screen from CEI Advisor Rise Overview.
Screen from video showing example of new redesigned Advisor half of application.