Google's NotebookLM streamlines UX research with 5-prompt methodology
A new study shows NotebookLM can cut prompt engineering time and improve UX research workflows.
The article proposes and evaluates a formalized methodology for using Google's NotebookLM to augment the User Experience Research Point of View (PoV) process. The methodology consists of five prompts across four stages: leveraging the framework, establishing roadmaps, applying best-practices, and crafting PoV narratives. Tested on eleven UXR papers, the results showed that NotebookLM successfully leveraged the UXR PoV framework across all stages, serving as an effective collaborative partner when provided with sufficient context and specific prompting.
- 5 prompts across 4 stages (framework, roadmaps, best-practices, PoV narratives) form the methodology.
- Tested on 11 UX research papers; NotebookLM successfully performed all stages with sufficient context.
- Aims to reduce GenAI adoption pain points: prompt engineering, data cleaning, and verification overhead.
Why It Matters
A replicable prompt framework turns NotebookLM into a UX research partner, saving teams time and improving decision speed.