PDaS ™ is a brand with classes that teach organizations how to achieve improved predictability and efficiency of project deliveries across large and complex environments. It enables Predictable Delivery at Scale ( PDaS ™). Unlike a traditional framework, which prescribes one specific set of practices and structures, PDaS ™ can be applied regardless of the existing framework in use, including Waterfall, Scrum, SAFe ®, and CCPM, making it a versatile approach to improving delivery outcomes.
- Capacity-Based Planning: This principle emphasizes the importance of creating plans based on actual data and realistic assumptions rather than overly optimistic projections. By grounding plans, teams can set achievable goals and timelines.
- Responsible Commitments: PDaS ™ encourages teams to make commitments they can realistically meet. This involves understanding the team's capacity and ensuring that commitments are made with a full awareness of potential risks and challenges.
- Critical Thinking: Teams are encouraged to engage in thorough analysis and problem-solving to identify and address issues proactively. This principle supports continuous learning and improvement.
- Accountability for Outcomes: Ensuring that individuals and teams are accountable for their commitments and deliverables fosters a culture of ownership and responsibility. This helps maintain focus on delivering high-quality results.
- Trust Through Transparency: Open communication and visibility into processes and progress are critical. By maintaining transparency, teams can build trust with stakeholders and within the team, leading to more effective collaboration and problem-solving.
Incremental Timeboxes: Utilizing short, iterative cycles (timeboxes) to deliver value incrementally helps teams manage complexity and adapt to changes.
Common Language and Normalization: Establishing a shared language and standards for processes and metrics ensures clear communication and understanding across teams.
Predictability Measure: Prioritizing Visibility to reveal a team or programs true flow. We use a financial-grade algorithm that accounts for both magnitude and direction of deviations.
Continuous Improvement: Regularly assessing and refining processes and practices based on feedback and performance data fosters ongoing enhancement of delivery capabilities.
Cross-Functional Collaboration: Encouraging collaboration across different functions and roles within the organization ensures that diverse perspectives are considered and integrated into solutions.