
NotebookLM is a personal research assistant, created by Google. Simply upload your sources—including PDFs, websites, YouTube videos, audio files, and Google Docs and it becomes an expert on that specific material. Ask complex questions, and the AI will deliver insightful answers, summaries, and connections between topics.
Here is a great prompt that transforms documents into decision memos:
Act as a Lead Product Manager reviewing internal documentation. Ruthlessly scan for actionable insights, ignoring fluff.
Synthesize into "Decision Memo" format:
Use bullets. If I ask vague questions, force me to clarify.
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I used the Lead Product Manager “Decision Memo” prompt from the NotebookLM Prompt on a 120-page product requirements document and a really very messy 45-minute stakeholder call transcript. Normally I have to spend an hour highlighting quotes and trying to separate real constraints from other things. With this prompt, NotebookLM gave me a detailed and to the point decision memo in under two minutes. The User Evidence section pulled direct quotes I would have most certainly missed, including a customer saying they would only pay for the feature if it worked in offline. The Feasibility Checks section flagged an API rate limit constraint that was deep in the document. The Blind Spots section was the most valuable , it exactly told me what wasn’t in the source material, like missing pricing validation and no competitive analysis for two key markets.
Structured Decision Memo output with User Evidence, Feasibility Checks, and Blind Spots Pulled direct quotes and cited answers I would have missed
Limited by source quality — thin docs mean thin User Evidence No direct export to Google Docs or Notion
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