The Agile Manifesto reloaded, Part 2

Continuing from the previous post: The four “revised” pairs of values that we propose in the “Manifesto for Adaptive Organizations 2025”

Sustainable outcomes over rapid outputs
(Delivering continuous value that lasts is more important than quickly producing the next MVP.) Comment: Focus on creating lasting value for stakeholders rather than rushing to produce multiple minimal viable products (MVPs). This recognizes that meaningful impact and long-term relationships are vital for business health.

 

Collective intelligence over individual heroics
(Harnessing human–AI collaboration and diverse teams beats relying on lone experts.) Comment: Emphasize the importance of teamwork and the synergy between humans and AI. This shift from relying on individual experts to leveraging diverse teams can enhance creativity and problem-solving.

 

Transparency and trust over control and compliance
(Shared clarity and accountability matter more than rigid rules and micromanagement.) Comment: Foster an environment where clarity and accountability are prioritized. This approach replaces rigid controls with a culture of trust, allowing for more fluid decision-making.

 

Adaptable systems over fixed frameworks
(Evolving ways of working continuously is more important than adhering strictly to one method.) Comment: Encourage organizations to evolve their processes and structures in response to changing environments, rather than sticking rigidly to established methods.

The following twelve principles of the “Manifesto for Adaptive Organizations 2025” should also be understood as hypotheses. It remains to be seen to what extent these hypotheses will prove valid.

The twelve principles of the “Manifesto for Adaptive Organizations 2025”:

1. Sustainable Value Delivery
   Our highest priority is to deliver sustainable value to customers, employees, and society—not just short-term results. Prioritize long-term impact for customers, employees, and society over short-term gains.
2. Human–AI Collaboration
   Utilizing AI to augment human capabilities, enhancing creativity and decision-making processes. Embrace human–AI collaboration to augment creativity, decision-making, and learning.
3. Continuous Adaptation
   Staying flexible in goals, structures, and processes to respond to evolving contexts effectively. Continuously adapt goals, structures, and processes as contexts evolve.
4. Steady Value Delivery
   Striving for consistent value delivery rather than sporadic bursts of innovation. Deliver value steadily and consistently, not just in bursts of innovation.
5. Empowered Teams
   Structuring organizations around self-organizing teams that leverage both human and AI strengths. Build organizations around empowered teams, where people and AI systems can self-organize responsibly.
6. Radical Transparency
   Committing to open sharing of goals, performance data, and progress to build trust and clarity. Foster clarity and trust through radical transparency—in goals, data, and progress.
7. Balanced Speed and Stability
   Recognizing when to act quickly and when to ensure sustainability in operations. Maintain a balance between speed and stability—fast when useful, sustainable when necessary.
8. Outcomes Over Outputs
   Focusing on the significance of the problems addressed rather than merely the volume of work produced. Prioritize outcomes over outputs—what problems are solved matters more than how much is produced.
9. Lifelong Learning
   Supporting continuous personal and professional development to ensure individuals can adapt alongside technological advances. Encourage lifelong learning and adaptability, equipping people to grow alongside technology.
10. Simplification
    Streamlining processes and decision-making while ensuring human accountability remains intact. Simplify processes and decisions—AI can help, but humans remain accountable.
11. Inclusivity and Diversity
    Valuing diverse perspectives in decision-making processes for more holistic outcomes. Promote inclusivity and diversity, ensuring decisions reflect many perspectives, not just data-driven optimization.
12. Continuity and Resilience
    Continuity is the foundation of resilience—consistent practices, shared knowledge, and long-term thinking keep organizations adaptable. Build resilience through established practices, shared knowledge, and a focus on long-term objectives.

And now the outcry: How dare you!!!

Yes, to initiate a long-overdue discussion about the shift from New Work to New New Work.

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