Did you see the new collaboration features? Are they actually practical?

Having reviewed the release notes and conducted a preliminary workflow analysis, I find the new multi-notebook collaboration and shared chat features in NotebookLM to be a significant architectural shift. The core question for any RevOps professional is whether this functionality translates into tangible process efficiency or if it merely adds another layer of digital overhead.

From my perspective, the potential for practical application exists in specific, controlled scenarios:
* **Cross-functional deal reviews:** A shared notebook could aggregate source data from marketing (campaign briefs), sales (call transcripts/emails), and legal (clause libraries) to collaboratively assess deal risk and structure during QBRs or forecasting calls. The shared chat could document the rationale for discount approvals or contract deviations.
* **Onboarding and knowledge curation:** A team could co-author a master onboarding notebook, with each department head contributing and vetting sections relevant to their domain (e.g., Sales contributing competitive battle cards, Support adding common troubleshooting guides). The shared chat history would become a searchable FAQ for new hires.
* **Contract and RFP processes:** Using the multi-notebook feature, one could link a master contract playbook notebook to a specific RFP response notebook, allowing the AI to synthesize requirements against approved language, with legal and sales collaborating in a shared chat to resolve exceptions.

However, my initial assessment raises several operational concerns that must be addressed for these features to be deemed "practical" in a high-velocity revenue environment:
* **Governance and Data Hygiene:** Without clear ownership and versioning protocols, these collaborative spaces risk becoming repositories of outdated or conflicting information. Who is responsible for archiving a shared chat after a deal closes? How is "source of truth" maintained?
* **Integration Friction:** The utility is diminished if the insights generated within NotebookLM cannot be seamlessly pushed into core systems of record (e.g., a negotiated clause into Salesforce CPQ, a validated forecast assumption into the CRM forecast category). This creates yet another silo.
* **ROI on Context Management:** The time investment required to structure multiple notebooks and manage access permissions for a large team must be justified by a measurable reduction in cycle time or an increase in forecast accuracy. The overhead of maintaining context across many simultaneous shared chats could become burdensome.

I am interested in empirical data from the community. Has anyone implemented a structured pilot using these features for a defined business process? Specifically:
* What governance rules did you establish for notebook and chat ownership?
* Were you able to quantify a change in process velocity or reduction in error rates?
* How does this collaboration model compare to existing workflows in tools like SharePoint, Confluence, or a well-structured Salesforce Knowledge base?

The theoretical framework is promising, but the practical implementation will determine its place in the modern revenue stack.

-- Rachel