Improved workforce productivity with RPA-driven transcript-to-course conversion.
The Current Scenario
A leading healthcare digital learning publisher relied on SME-authored transcripts in Word documents as the foundation for its eLearning courses. Converting these transcripts into fully authored courses in Articulate Rise required extensive manual work—recreating course structures, mapping content blocks, and building assessments.
With 6,000+ transcripts to convert, this manual process slowed course production and limited the publisher’s ability to scale its learning content catalog while maintaining and meet market demands while also hampering the productivity of content development teams.
An automation-driven content engineering pipeline to convert large volumes of legacy transcripts into modern courses
Harbinger analyzed the client’s content production lifecycle, including transcript formats, authoring workflows, and Rise course structures. Harbinger identified that the transcripts used custom styles and formatting conventions that represented the instructional structure of each course.
Building on these insights, Harbinger designed an automation-driven content engineering pipeline that converts structured transcripts into fully authored Rise courses. The solution combines rule-based content intelligence with RPA automation to interpret transcript structures, generate course hierarchies, map instructional content to Rise blocks, and automatically create assessments.
We implemented batch processing capabilities that enabled multiple courses to be generated in a single run and helped the publisher to convert large volumes of legacy transcripts into modern courses significantly faster than manual authoring methods.
What was the Impact
The automation solution significantly improved the efficiency and scalability of the client’s content production operations.
- Course authoring time reduced from 40–45 hours to 4–5 hours
- Up to 80% automation of transcript-to-course conversion
- 10× faster course production
- Batch generation of multiple courses simultaneously
- Reduced repetitive manual work for content development teams
Learn how automation and content engineering helped a healthcare digital publisher enable its workforce to produce courses faster and scale digital learning catalogs.
