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Bets, Budgets, and Reframing Software Delivery as Continuous Discovery
- The article discusses the shift needed in software delivery towards probabilistic thinking and value stream alignment.
- It emphasizes the importance of improving how businesses rely on estimates and how delivery teams develop estimating capabilities.
- Vasco Duarte's talk on Investing in Software raises points about the unpredictability of software development, likening it to chaotic systems.
- The article highlights the need to approach software delivery as an ongoing process that prioritizes adaptability and real-time feedback.
- It advocates for thinking like investors rather than project managers, accepting risk and uncertainty in software development.
- The article discusses the importance of continuous learning, confidence levels, and revisiting estimates as bets that evolve over time.
- It proposes a shift towards product-based funding models that allow for continuous discovery and evolution, moving away from upfront budgeting for the year.
- Experimentation, paired with signals like lightweight tests and MVPs, is highlighted as key for reducing waste and surfacing learning early on.
- The article stresses the significance of end-to-end ownership in driving agility at scale and fostering better signals within teams.
- Applying principles like 'The Three Ways' from The DevOps Handbook across planning, budgeting, and governance is recommended for embracing agility throughout the business.
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