Intelligent Recommendations

March 5, 2024 | 3 minute read
Chris Supangat
Principal Product Management, Guided Learning, Customer Success Services
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Intelligent recommendations

Authors:
Chris Supangat (Principal Guided Learning Product Management, CSS Platform)


Preface:

Welcome to another installation of “The Insider”, a peek into the inner workings of the Oracle Guided Learning Product team. Oracle Guided Learning is Oracle’s premier Digital Adoption Platform, designed to help organizations and their users adopt products, policies and processes faster as they transform continually in the cloud.

This series, will give you an insight into the rationales and reasonings for creating some of our premier features and give you visibility into the team behind the platform.


 

Helping our guide developers build accurate content easily through intelligent recommendations

Oracle Guided Learning aims to help simplify and support the work of change, training, learning, business and support professionals as they help their employees adopt and embrace new products, policies and processes. A significant part of our strategy is to simplify the (OGL) developer experience, deploying automation, intelligence and a slick user experience. Our desire is for our guide builders to build quality guides for their end users in a faster and accurate manner. With the rise of AI/ML, deep-learning techniques and customer use cases, the data we have available to harness suggestions and socialize best practices is plentiful.

Intelligent recommendations provide OGL Developers educational, instructional and actionable suggestions to optimize and boost accuracy when building and maintaining guides. Intelligent recommendations synthesises these suggestions based on behavioural guide building patterns and provides a one-click activation/implementation to fulfill the system proposal. This allows developers to start building guides with confidence, knowing OGL is ‘guiding’ them along their journey.

Intelligent recommendations are applied in the Guide editor, when creating/editing a guide.

At present we have a few use cases we’ve applied this:

  • This is an invisible step. It can be used to react to user interactions
  • Your step is no longer an invisible step, perhaps you want to disable no scroll option. Click to disable no scroll.
  • Move your mouse about the page and select an element
  • Current step does not meet all display conditions. Click to edit conditions.
  • Target element is not found on this page. Click to change the target element.
  • Target element is not visible on this page.
  • Target selector matches elements on this page. Click to change the target element.
  • The selected element is inside a scrollable container. It is recommended to set it to scroll.
  • Video was removed from tip. It is recommended to reset tip width.
  • It seems like you forgot to set advance on click setting. Click to set advance on click.

Our desire is to expand these use cases with the use of AI and ML to bring a truly powerful experience to our guide developers.

Should you have more ideas, head to our Ideas Lab on Cloud Customer Connect and submit them as enhancements. You can also find our more by visiting our website.

 

Chris Supangat

Principal Product Management, Guided Learning, Customer Success Services

Chris is a former marketer, and current technology enthuaist and evangelist, exploring the impact of technology on people, processes and systems. He currently works in the Product Management space for Guided Learning, Oracle's Digital Adoption Platform, helping to accelerate cloud success, adoption, change and training.


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