Gemini for Google Workspace for Product & Service Management
Research, Plan & Accelerate Product Decisions with AI
Programme Objectives
- Develop functional proficiency in using Gemini across Google Workspace for product discovery, planning, analysis, documentation, stakeholder communication, and execution.
- Synthesize product information from emails, documents, spreadsheets, presentations, meetings, and Drive sources.
- Use AI assistance to create product briefs, requirements, research summaries, roadmaps, KPI analyses, presentations, and action plans.
- Apply Gemini to customer-feedback analysis, prioritization, launch planning, product reviews, and cross-functional collaboration.
- Maintain appropriate human ownership for product strategy, technical feasibility, customer commitments, data interpretation, and final product decisions.
Tools covered
Who should attend
- Product Managers
- Senior Product Managers
- Product Owners
- Digital Product Managers
- Technical Product Managers
- Service Managers
- Product Operations Professionals
- Product Analysts
- Business Analysts
- Customer Experience Managers
- Service Design Professionals
- Product Strategy Professionals
- Innovation Managers
- Product & Service Team Leads
Prerequisites & Participant Readiness
- Basic understanding of product or service-management practices
- Familiarity with customer needs, requirements, roadmaps, KPIs, or product lifecycle activities
- Basic experience with Google Workspace applications
- Understanding of generative AI concepts is helpful
- No programming expertise required
- Access to an eligible Google Workspace environment with Gemini capabilities is recommended
TOC Modules
- Understanding Gemini across Gmail, Drive, Docs, Sheets, Slides, Meet, Chat, and Forms
- Identifying applications across discovery, planning, delivery, launch, and optimization
- Understanding Workspace Intelligence and contextual AI assistance
- Differentiating AI assistance from product judgement and ownership
- Exploring Gemini across key Workspace applications
- Testing common product-management prompts
- Mapping Product Activity → Workspace App → Gemini Capability
- Building Product Need → Context → Gemini → Human Review workflow
Scenarios
Customer Feedback to Product Prioritization
Participants collect and synthesize customer feedback, identify recurring product needs, score potential initiatives, and prepare evidence for a human-led prioritization decision.
Product Review to Launch Decision
Participants consolidate product status, metrics, risks, and stakeholder inputs into a structured product review and convert approved decisions into a coordinated launch plan.
## Current Capability Reference
As of **September 2026**, Gemini can perform increasingly sophisticated cross-app tasks across **Gmail, Drive, Docs, Slides, and Chat**, using Workspace Intelligence and selected organizational context to create formatted Docs, structured Sheets, and presentations without requiring users to manually transfer information between applications.
Gemini in **Google Slides** can now create complete, editable presentations and use existing Docs, Sheets, PDFs, and presentations as source or style context, which is directly relevant to product reviews, roadmap communication, and launch presentations.
Gemini in **Docs** can synthesize comment threads, suggest document edits, and generate or edit supporting diagrams, visuals, and infographics using document context, supporting collaborative PRD and product-document workflows.
Google Forms now supports **Help me create a form with Gemini**, including the ability to use Drive files such as Docs, Sheets, Slides, and PDFs as source context. Availability depends on eligible plans and rollout status.
For product meetings, Google Meet's current **Take notes for me** experience can capture key discussion context, while 2026 updates added screenshots of presented slides and centralized meeting artifacts such as notes, transcripts, and recordings in Drive.
For enterprise data protection, Google states that Workspace content such as emails and documents remains the customer's data and is **not used to train or improve underlying generative AI models outside Workspace without permission**.
**Product Management Principle:** Gemini for Google Workspace should accelerate **research synthesis, requirements development, data interpretation, roadmap preparation, meeting follow-through, and stakeholder communication**. Product prioritization, technical feasibility, pricing, customer commitments, launch approval, and strategic product decisions should remain under appropriately authorized human ownership.
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