AI Workshop
LIVE INSTRUCTOR-LED
Applied AI for Product Managers
Use AI across discovery, research, prioritisation, experimentation and communication to make product work faster without outsourcing product judgement.
Accelerate product discovery and decision support with AI while keeping customer insight, prioritisation and product judgement human-led.
1 day Team Workshop Activities and Re-usable content Certificate of participation
Workshop Overview
Overview
Product managers constantly synthesise customer evidence, market information, stakeholder requests, product data and delivery constraints. AI can help organise and explore that information, but effective product decisions still require context, judgement and customer understanding.
Applied AI for Product Managers is a hands-on workshop focused on practical AI use across the product lifecycle. Participants use AI to support discovery, research synthesis, problem framing, ideation, prioritisation, requirements, experiment design and stakeholder communication.
The workshop shows where AI can accelerate product work and where teams need strong human validation to avoid confident but weak product decisions.
Key Outcomes
By the end of this workshop, you'll be able to:
Identify high-value AI use cases across the product-management lifecycle.
Use AI to synthesise customer interviews, feedback and research themes.
Improve problem statements, assumptions and discovery questions.
Generate and challenge solution ideas without treating AI output as customer evidence.
Support prioritisation by structuring value, risk, effort and uncertainty.
Draft and refine product requirements, acceptance considerations and stakeholder narratives.
Design experiments and hypotheses for validating product assumptions.
Use AI to compare options and expose gaps in product thinking.
Create clear product updates for executives, teams and stakeholders.
Build reusable AI workflows for recurring product-management tasks.
Workshop Agenda
Explore the workshop
1 AI in the Product Lifecycle
Understand where AI can accelerate product work and where human judgement remains essential.
2 Customer and Market Discovery
Synthesise interviews, feedback, research and competitor information.
3 Problem Framing
Strengthen problem statements, assumptions, personas and discovery questions.
4 Ideation and Opportunity Exploration
Generate options, challenge thinking and explore alternative approaches.
5 Prioritisation and Trade-Offs
Structure value, effort, risk, evidence and strategic alignment.
6 Requirements and Team Communication
Draft clearer product context, stories, acceptance considerations and decision records.
7 Experiments and Validation
Create hypotheses, experiment designs and learning plans.
8 Stakeholder Communication
Adapt product narratives, roadmaps and updates to different audiences.
9 Build Your Product AI Playbook
Select recurring workflows and create reusable templates.
Who It's For
Built for people doing the work
Product Managers
Product Owners
Senior Product Managers
Product Leaders
Business Analysts moving into product roles
Innovation teams
Digital product professionals
Product Operations teams
Entrepreneurs and internal venture teams
Hands-on Activities
Learn by doing
Practical exercises you'll complete during the workshop.
Problem statement improvement
Discovery question generation
AI-assisted ideation
Prioritisation challenge
Requirement refinement
Experiment design
Stakeholder narrative drafting
Personal product AI playbook
You'll Leave With
Practical assets you can reuse
Product AI Prompt Pack
Customer Insight Synthesis Template
Problem Framing Canvas
Discovery Question Pack
Prioritisation Analysis Template
Requirement Refinement Prompts
Experiment Design Template
Stakeholder Narrative Template
Personal Product AI Playbook
Certification
Certificate of completion
Certificate of participation is included with this workshop.
Instructor
Meet your instructor
Rajiv Goel
AI Transformation Leader and Microsoft Certified Trainer
Product, Agile and transformation experience combined with practical AI adoption techniques for discovery, prioritisation and cross-functional delivery.
FAQs
Common questions
Is this only for software product managers?
No. The techniques can be applied to digital, service and internal product environments.
Will AI do customer research for me?
No. AI can help synthesise and structure research, but generated content should not be treated as genuine customer evidence.
Does the workshop cover prioritisation?
Yes. You will use AI to structure trade-offs and challenge assumptions while keeping product decisions human-led.
Can I use my own product material?
Yes, if it is suitably sanitised and permitted by your organisation.
Does it cover user stories and requirements?
Yes, as one part of the product workflow alongside discovery, experiments and stakeholder communication.
Is technical AI knowledge required?
No. The workshop is designed for product practitioners.
How do you address hallucinations?
Participants practise verification, evidence separation and critical review of AI-generated outputs.
What will I leave with?
Reusable product templates, prompts and a personal AI playbook for recurring product work.
