Role-Based Programme
RB0975

NotebookLM for Product & Service Management

Research, Analyse & Turn Product Knowledge into Action

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how NotebookLM can organise and analyse product, service, customer, and research information.
  • Explore source-grounded AI for requirements, customer insights, product research, and decision support.
  • Experience multi-source comparison to identify themes, gaps, risks, and opportunities.
  • Discover practical ways to convert complex product information into structured briefs, summaries, and actionable insights.

Tools covered

NotebookLMSource-Grounded ChatCitationsReportsAudio OverviewsMind MapsSlide DecksMulti-Source Analysis

Who should attend

  • Product Managers
  • Product Owners
  • Service Managers
  • Product Analysts
  • Business Analysts
  • Product Operations Professionals
  • Customer Experience Managers
  • Product Marketing Managers
  • User Research Professionals
  • Service Delivery Managers
  • Product & Service Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service management activities
  • Familiarity with customer requirements, product documents, research, or feedback
  • 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 research and knowledge workspace
  • Understanding notebooks, sources, chat, citations, and generated outputs
  • Identifying use cases across product research, requirements, customer insights, and service improvement
  • Understanding source-grounded responses versus general AI responses
Practical activities
  • Creating a product-focused notebook
  • Adding sample product, service, research, or customer-information sources
  • Asking initial questions and reviewing supporting citations

Scenarios

Customer Feedback to Product Improvement

Customer Feedback → NotebookLM → Theme Analysis → Pain Points → Feature Opportunities → Product Insight Brief

Participants use NotebookLM to analyse customer feedback and convert recurring needs and concerns into structured product-improvement opportunities.

Product Research to Decision Support

Product Documents + Research Sources → Multi-Source Analysis → Opportunities & Risks → Comparison → Decision Brief

Participants combine multiple product and research sources to identify key findings, gaps, risks, and options before preparing a concise decision-support brief.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.