Role-Based Programme
RB0955
NotebookLM for Customer Service & Customer Success
Turn Customer Knowledge into Faster Support & Better Insights
IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session
Programme Objectives
- Understand how NotebookLM can organise and analyse customer-support, onboarding, product, and service knowledge.
- Explore source-grounded AI for answering customer questions, reviewing support information, and analysing customer feedback.
- Experience multi-source analysis to identify recurring customer needs, issues, questions, and service-improvement opportunities.
- Discover practical ways to convert customer information into support briefs, FAQs, onboarding material, and customer-success insights.
Tools covered
NotebookLMSource-Grounded ChatCitationsReportsData TablesMind MapsAudio Overviews
Who should attend
- Customer Service Executives
- Customer Support Professionals
- Customer Success Managers
- Customer Success Executives
- Customer Experience Professionals
- Technical Support Professionals
- Customer Onboarding Specialists
- Customer Education Professionals
- Customer Operations Professionals
- Customer Service & Success Team Leads
Prerequisites & Participant Readiness
- Basic understanding of customer service or customer-success activities
- Familiarity with FAQs, help documentation, onboarding, customer feedback, or support processes
- Basic computer and internet proficiency
- No AI or programming knowledge required
- No previous NotebookLM experience required
TOC Modules
Concepts
- Understanding NotebookLM as a source-grounded AI knowledge workspace
- Understanding notebooks, sources, chat, citations, and generated outputs
- Identifying applications across support, onboarding, customer education, and customer-success activities
- Understanding source-grounded responses versus general AI responses
Practical activities
- Creating a customer-focused notebook
- Adding sample FAQs, product guides, support documents, and onboarding material
- Asking customer-related questions and reviewing supporting citations
Scenarios
Support Knowledge to Customer Resolution
FAQs + Product Guides + Support Documents → NotebookLM → Source-Grounded Question → Resolution Guidance → Customer Response
Participants use NotebookLM to retrieve and synthesise approved support information into a clear response for a recurring customer issue.
Customer Feedback to Service Improvement
Customer Feedback → NotebookLM Analysis → Recurring Themes → Pain Points → Improvement Opportunities → Customer Success Brief
Participants analyse customer feedback to identify recurring needs and concerns and convert them into a concise customer-success insight brief.
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Instructor-ledVirtualHybrid
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