Current volunteer project · Global Social Innovators (GSI)
Using NotebookLM to support analysis and storyboard design
Context: As part of the GSI team developing Advice for Life training for volunteer advisers, I am helping shape a structured, AI-assisted instructional design workflow that can turn an agreed body of source material into consistent lesson designs and development-ready storyboards.
My role: I am exploring how Google NotebookLM can be used as a source-grounded analysis and design assistant — helping instructional designers interrogate approved documents, identify relevant content, connect it to learning objectives and produce structured first drafts for lesson overviews and storyboards.
1 · Curate sourcesBring approved course, learner, policy and subject-matter documents into a controlled NotebookLM source set.
2 · AnalyseUse targeted prompts to identify requirements, key concepts, learner needs, risks, examples and evidence relevant to a lesson.
3 · StructureUse the analysis to support lesson sequencing and draft storyboard components aligned to the intended learning outcomes.
4 · Apply methodologyShape learning through Tell Me, Show Me, Guide Me, Let Me and Reflect, selecting scenarios and interactions appropriate to the objective.
5 · Human reviewCheck accuracy, source fidelity, instructional logic, accessibility and tone before content moves into LearnDash/H5P development.
AI as an accelerator, not the instructional designer: NotebookLM helps reduce the time spent locating, comparing and structuring source material. I retain responsibility for the learning strategy, objective alignment, interaction choice, accessibility, sequencing and final quality of the storyboard.
Why this matters: The approach is designed to make collaborative course production more efficient without losing traceability to approved content or allowing AI-generated material to bypass instructional review. It also provides a repeatable workflow that less-experienced designers can follow while preserving a consistent learning approach across modules.
Tools & methods: Google NotebookLM · Gemini-assisted analysis · instructional prompting · source-grounded design · learning objectives · scenario design · storyboard development · LearnDash · H5P · accessibility · human QA