Instructor: Rob Hill

Introduction to Strategic Planning

• Definition and importance
• The strategic adaptive planning process
• Benefits and challenges of strategic adaptive planning

Situational Analysis

• SWOT analysis (Strengths, Weaknesses, Opportunities, Threats)
• PESTLE analysis (Political, Economic, Social, Technological, Legal, Environmental)
• TOWS (Threats, Opportunities, Weaknesses, Threats)
• Competitive analysis and benchmarking

Defining Vision, Mission, and Objectives

• Crafting a compelling vision statement
• Developing a clear mission statement
• Awareness of canvases to support visions, and missions
• Setting SMART (Specific, Measurable, Achievable, Relevant, Time-bound) OKRs (Objective Key Results)

Formulating and Implementing Strategies

• Identifying strategic options
• Choosing the right strategies
• Awareness of canvases to support strategies
• Developing roadmaps

Validating Assumptions

• Defining hypothesis
• Validating assumptions
• Continuous improvement and feedback loops

Monitoring, Evaluating, and Revising Plans

• Tracking Progress
• Outcome vs output
• Performance measurement techniques
• Adapting plans based on data

1. Introduction to Metrics and OKRs

• Definition and importance
• History and evolution of OKRs
• Benefits of OKRs
• Differences between metrics, KPIs, and OKRs

2. Setting Effective OKRs

• Understanding objectives and key results
• Characteristics of effective OKRs
• Common pitfalls in setting OKRs

3. Implementing OKRs in Your Organization

• Steps to introduce OKRs in your organisation
• Creating alignment across teams – the unbroken chain of why
• Potential challenges when implementing OKRs
• Receiving outcome-based feedback

4. Using data in product development

• Understand the importance of data throughout a product's lifecycle
• Explore different data points that can be used from product discovery through to delivery
• Understand different approaches to capture innovation data to validate assumptions

5. Measuring and Tracking Performance

• Outcome vs output metrics
• Selecting relevant metrics
• Leveraging data to measure value
• Adjusting OKRs based on performance data