Highlights
- Product management fundamentals
- Defining Product Strategy from Company Strategy
- Opportunity analysis
- Defining metrics
- Growth frameworks
- Baking analytics into requirements
- Working with Product Analytics tools
- Product analytics warchest
- Management Reporting
Course Details
Introduction, modern product management fundamentals
- Iterative, lean product methodology centered on validated learnings and ‘build-measure-learn’
- The mindset and activities required by self-organising, hands-on product teams
Defining Product Strategy from Company Strategy
- Using KPIs to cascade Mision vision and value through to day to day work
- OKR frameworks and goal driven roadmaps
- Product rather than project mindset
Opportunity analysis
- Customer segmentation
- Market sizing
- RICE
Defining metrics
- How to choose a Metric that Matters?
- What makes an metric actionable?
Growth frameworks
- Pirate Metrics / Lean Analytics / North Star
- Actionable funnels
- 30 minute exercise – making a framework for a product
Experimentation
- How to structure an experiment
- Setting the line in the sand
- AB testing best practice
Baking analytics into requirements
- How to define event metrics in story writing
- Analytics ’definitions-of-done’
- Shared ownership with product teams
Working with Product Analytics tools
- Guide walkthrough of a tool – Google Analytics / Amplitude
- Use of basic tooling like Google Sheets
- Introduction to SQL
Product analytics warchest
- Funnels
- Cohort tables
- Repeat rates
- Churn rates
Management Reporting
- Ingraining data into the sprint
- Engaging stakeholders with data
- Data visualizations
Wrapping up
- Commitments made by attendees with next steps
Who should attend
Anyone involved in the software development life cycle – from Business Analysts, Project Managers, Planners, Technical Architects through to Coders and Test Analysts.
It assumes a basic understanding of the principles of agile product management in a software engineering environment, using frameworks such as Scrum or Kanban. It requires basic technical literacy, but does not require advanced knowledge of computer or data science.
Feedback
4.8 out of 5 average
"I thought that the style of creating a backlog of user stories and inputting them into sprints was very helpful and that the practical at the end of the course was excellent. Overall, it gave me a great insight into agile project management."
GW, Project Manager, Scrum, April 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
