Monitoring and Measuring for Success

👋 Hi, I’m Martin Hinshelwood from NKD Agility, and in this video, I explore the critical shift organizations need to make from traditional budgeting to hypothesis-driven product development. Instead of focusing on “staying within budget,” this approach emphasizes iterative learning, informed decision-making, and maximizing value by testing ideas early and often.

📌 Chapters:

1. 00:00 – Introduction: Rethinking Budgeting for Product Development
2. 02:30 – Why Hypothesis-Driven Engineering Matters
3. 05:15 – How to Use Experiments to Validate Ideas
4. 08:45 – Real-World Example: Azure DevOps’ Technical Debt Initiative
5. 12:00 – Avoiding Costly Mistakes: Lessons from Windows 8
6. 15:30 – The Importance of Quick Feedback Loops in Budget Allocation
7. 18:00 – Applying Hypothesis-Driven Thinking at Every Level

🎯 Who This Video is For:

• Product managers and project managers seeking better budgeting and validation strategies • Teams and organizations wanting to avoid costly mistakes in product development • Agile practitioners and leaders focusing on iterative, value-driven approaches • Decision-makers responsible for allocating resources and prioritizing investments

📖 What You’ll Learn:

• How hypothesis-driven engineering practices improve product success rates • Why allocating budget dynamically is better than traditional annual plans • The importance of small experiments and quick feedback loops in minimizing risk • Real-world examples of costly failures and how to avoid them • How to apply hypothesis-driven decision-making at every organizational level

💡 Key Takeaways:

• Don’t focus on staying within budget—focus on dynamically reallocating resources for maximum value. • Hypothesis-driven engineering ensures investments are validated early and often. • Quick feedback loops reduce waste and avoid large-scale failures. • Apply hypothesis-driven thinking at all levels, from individual teams to boardroom decisions.

At NKD Agility, we specialize in helping organizations implement hypothesis-driven engineering practices to maximize value and minimize risk. Ready to rethink how you allocate resources and build products? Visit https://www.nkdagility.com  today and let’s transform your approach to product development.

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