Analyze
Talk with the people closest to the work, review the available data, define the audience, and separate a knowledge gap from a process, tool, or leadership problem.
eLearning production
Building a 54-module global eLearning catalog
The company needed a course catalog but did not have an internal production team. I created the workflow and produced the first 54 modules.
| Role | Needs analysis, instructional design, scripting, filming, editing, narration, course assembly, LMS deployment, and quality checks |
| Problem | No standardized modules, reusable production workflow, multilingual delivery process, or internal production team |
| Tools | DaVinci Resolve, ElevenLabs, eLearning authoring tools, and the LMS |
| Result | 54 modules produced internally, with delivery across 5 languages |
No internal production team
The move from 14 days of on-site training to a blended model required foundational content that could be completed before arrival. The company did not yet have standardized modules, production standards, a multilingual workflow, or a repeatable path from request to LMS.
External production was considered as a comparison, but the catalog was built internally. That required a workflow that could carry a module from needs analysis through final deployment without handing each stage to a separate team.
The production pipeline
My role covered the portfolio decisions and the production work. I handled intake, needs analysis, learning objectives, instructional and visual standards, scripting, shot planning, filming, lighting, editing, narration, course assembly, LMS deployment, and multilingual quality checks.
Producing one course was manageable. The repeatable intake, script, filming, assembly, and review process is what allowed the catalog to grow to 54 modules.
Instructional design, production, narration, course assembly, and deployment were completed internally
From request to LMS
The request does not determine the format.
A request may arrive as “we need a course,” but the work begins with the performance gap, audience, available evidence, and the behavior that should change. Those decisions determine whether the response should be a course, video, job aid, live session, or another intervention. ADDIE provides the sequence for that work.
Design
Define what someone should be able to do, what good performance looks like, how it will be measured, and which format fits the moment.
Develop
Build the script, practice, assessment, visuals, video, job aid, or course, then test the idea before polishing the entire thing.
Implement
Prepare managers and facilitators, test access, plan the communication, and make it realistic for learners to complete and apply.
Evaluate
Look at completion, assessment, behavior, field feedback, and business measures. Keep what helped, fix what did not, and update the source system.
What one module required
Each module moved through instructional design, scriptwriting, shot planning, filming, lighting, editing in DaVinci Resolve, narration, course assembly, testing, and LMS deployment.
Producing narration in five languages
ElevenLabs voice cloning generated the narration tracks. The scripts, visuals, filming, editing, course assembly, quality checks, and LMS deployment remained separate production steps.
Supporting the blended training model
The catalog moved foundational product and process knowledge out of the live schedule. The five on-site days could then focus on coached practice and observed performance.
Sanitized artifact
Storyboard-to-production excerpt
A simplified example of the planning logic behind a short procedural segment. Proprietary visuals and language have been replaced.
OrientEstablish the task and success condition
DemonstrateShow the critical action with focused narration
CheckConfirm the learner can choose the correct response
54 modules later
- 54 modules were produced internally, from instructional design through LMS deployment.
- The modules supplied the pre-work for the blended model that reduced new-store on-site training from 14 days to 5.
- An estimated six-figure vendor cost avoided. A market-rate comparison suggests that outsourcing a library this size would have run well into six figures before multilingual premiums. This is an estimate, not a booked budget reduction.
- Narration was delivered across 5 languages through the ElevenLabs workflow.
- Course updates can be completed internally without waiting for an outside production vendor.
Estimate basis: full-service eLearning vendors commonly quote from roughly $15,000 per finished hour for courses with voiceover, with multilingual delivery charged at a further premium. This is a directional market comparison. The page does not currently include the catalog's total finished runtime, so the estimate is not presented as a booked or audited saving.
Production evidence
The work behind the finished course is as important as the screen a learner sees. I can share sanitized examples that show how the analysis, design, and production decisions connect:
- A short finished module clip using public-safe content
- A real storyboard and script excerpt paired with the finished screen
- English and translated voiceover samples
- SCORM examples showing procedural learning and AI literacy
What the production workflow can support
The same request-to-LMS sequence can be used for new procedural modules, course updates, translated narration, and the pre-work required by the blended new-store training model.