Project 3: Lumber Grading Certification
Project Title: Lumber Grading Certificiation Program
Client: Pacific Lumber Inspection Bureau (PLIB)
Role: Educational Consulting Specialist
Skills: Technical Architecture, Interactive Logic, Pilot Research
Tools: LearnDash, Articulate Storyline, H5P
The Challenge
PLIB needed to move a traditionally hands-on, tactile certification (Lumber Grading) to a digital format for US lumber mills. The goal was to provide high-stakes training that remained practical and industry-compliant without requiring a physical classroom.
The Solution
I developed an instructional framework that simulated physical grading skills. By integrating Articulate Storyline for complex logic and H5P for rapid interaction, I built a system where learners could “practice” grading in a digital environment.
The Process
Phase 1: Workflow Mapping
I analyzed the manual labor steps of a lumber grader to identify “decision points.” I then mapped these points to specific digital interaction types.
Visual Suggestion: A workflow diagram showing the “Manual Grading Step” converted to a “Digital Interaction Type.” Prompt: How many different grades of lumber did the course cover? This helps show scale.
Prompt for you: Can you find a copy of the original syllabus or course description to highlight specific changes you made to the outcomes?
Phase 2: Technical Integration
I managed the collaboration between internal developers and external web firms to ensure the WordPress/LearnDash environment could handle the H5P data.
Visual Suggestion: A screenshot of an interactive lumber-sorting task.
Prompt: Do you have a list of the specific “interactive educational elements” you asked the web firm to build?
Phase 3: Data-Driven Iteration
I managed an iterative design cycle, using pilot feedback to refine accessibility. I ensured the course met stringent digital accessibility standards for diverse asynchronous learners.
Visual Suggestion: A device mockup showing the course appearing consistently on a desktop, tablet, and smartphone.
Reflection: The project proved that even highly tactile trade skills can be digitized effectively.
Future Iteration: I would integrate AI image recognition to give learners real-time feedback on their “virtual grading” choices.
