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เนื้อหาจัดทำโดย The Mob Mentality Show เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดเตรียมโดย The Mob Mentality Show หรือพันธมิตรแพลตฟอร์มพอดแคสต์โดยตรง หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่อธิบายไว้ที่นี่ https://th.player.fm/legal
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Accidentally FaST: Dynamic Reteaming and Self-Selection with Paige Watson

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Manage episode 373454404 series 2582224
เนื้อหาจัดทำโดย The Mob Mentality Show เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดเตรียมโดย The Mob Mentality Show หรือพันธมิตรแพลตฟอร์มพอดแคสต์โดยตรง หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่อธิบายไว้ที่นี่ https://th.player.fm/legal

Dive into the realm of dynamic reteaming and self-selection with the insightful Paige Watson in this episode of the Mob Mentality Show. Join us as we explore the exciting evolutions of becoming accidentally FaST and discover how to harness its power for enhanced team collaboration and innovation.

Episode Highlights:
🚀 Explore a quick intro to FaST (Fluid Scaling Technology) and its transformative impact.
🌟 Gain insights from Paige's personal experiences with FaST.
🌀 Uncover the gradual transition to FAST methodology through a series of small, impactful decisions.
🔬 Delve into the advantages of discovering together through experimentation over traditional top-down directives.
🏘️ Discover how FaST enhances team ownership and fosters a sense of collective responsibility.
⏱️ Is FaST truly faster?
💡 Choose work based on passion and expertise, aligning with the core principles of FaST.
🤝 Unleash the potential of FaST mobs, revolutionizing collaborative productivity.
🏢 Explore the leadership and system-level needs for successful FaST experimentation.
📊 Examine metrics for evaluating the effectiveness of FaST teams, focusing on both individual and collective success.
📈 Measuring individuals vs. measuring teams: How FaST redefines performance evaluation.
🌐 Is FaST universally for all?
🔥 Navigate healthy conflict within teams.
📜 Dive into Agile Manifesto principles "self-organizing teams" and "motivated individuals" in the context of FaST.
👥 Should the deck be stacked for healthy team composition?
🔍 Experiment with the dynamic reteaming and self-selection.
❓ Address the question: Can self-selected teams ever lead to ineffective outcomes within the FaST framework?
📛 Tackle the challenge: What happens when self-selection leads to tasks nobody wants to undertake?
🛠 Explore the viability of a self-selected FaST team without prior XP skills and its potential for success.
🤹‍♀️ Dive into the potential repercussions of excessive team switching within a FaST team and the loss of context.
🤼 Reflect on the significance of interpersonal and facilitation skills in a self-selected FaST team.
🛡️ Uncover the mechanisms of team self-regulation within the FaST framework and its implications.

Embark on this enlightening journey of Accidentally FaST, dynamic reteaming and self-selection. Tune in now and gain valuable insights from Paige Watson on harnessing the power of FaST for team agility!

Video and Show Notes: https://youtu.be/9mJzLofKMKo

  continue reading

111 ตอน

Artwork
iconแบ่งปัน
 
Manage episode 373454404 series 2582224
เนื้อหาจัดทำโดย The Mob Mentality Show เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดเตรียมโดย The Mob Mentality Show หรือพันธมิตรแพลตฟอร์มพอดแคสต์โดยตรง หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่อธิบายไว้ที่นี่ https://th.player.fm/legal

Dive into the realm of dynamic reteaming and self-selection with the insightful Paige Watson in this episode of the Mob Mentality Show. Join us as we explore the exciting evolutions of becoming accidentally FaST and discover how to harness its power for enhanced team collaboration and innovation.

Episode Highlights:
🚀 Explore a quick intro to FaST (Fluid Scaling Technology) and its transformative impact.
🌟 Gain insights from Paige's personal experiences with FaST.
🌀 Uncover the gradual transition to FAST methodology through a series of small, impactful decisions.
🔬 Delve into the advantages of discovering together through experimentation over traditional top-down directives.
🏘️ Discover how FaST enhances team ownership and fosters a sense of collective responsibility.
⏱️ Is FaST truly faster?
💡 Choose work based on passion and expertise, aligning with the core principles of FaST.
🤝 Unleash the potential of FaST mobs, revolutionizing collaborative productivity.
🏢 Explore the leadership and system-level needs for successful FaST experimentation.
📊 Examine metrics for evaluating the effectiveness of FaST teams, focusing on both individual and collective success.
📈 Measuring individuals vs. measuring teams: How FaST redefines performance evaluation.
🌐 Is FaST universally for all?
🔥 Navigate healthy conflict within teams.
📜 Dive into Agile Manifesto principles "self-organizing teams" and "motivated individuals" in the context of FaST.
👥 Should the deck be stacked for healthy team composition?
🔍 Experiment with the dynamic reteaming and self-selection.
❓ Address the question: Can self-selected teams ever lead to ineffective outcomes within the FaST framework?
📛 Tackle the challenge: What happens when self-selection leads to tasks nobody wants to undertake?
🛠 Explore the viability of a self-selected FaST team without prior XP skills and its potential for success.
🤹‍♀️ Dive into the potential repercussions of excessive team switching within a FaST team and the loss of context.
🤼 Reflect on the significance of interpersonal and facilitation skills in a self-selected FaST team.
🛡️ Uncover the mechanisms of team self-regulation within the FaST framework and its implications.

Embark on this enlightening journey of Accidentally FaST, dynamic reteaming and self-selection. Tune in now and gain valuable insights from Paige Watson on harnessing the power of FaST for team agility!

Video and Show Notes: https://youtu.be/9mJzLofKMKo

  continue reading

111 ตอน

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