EPISODE · May 15, 2024 · 36 MIN
The TRIUMPH Framework: Why Most Transformations Fail Before Execution
from Gaining the Technology Leadership Edge · host Mike Mahony
In this episode of Gaining the Technology Leadership Edge, Mike sits down with Talila Millman, fractional CTO, executive advisor, and author of The TRIUMPH Framework: Seven Steps to Leading Organizational Transformation. Talila has led transformations across large enterprises, scale-ups, and early-stage startups. She explains why most change initiatives fail—not because teams can’t execute, but because leaders misidentify the real problem. Using examples from her own career, Talila walks through the TRIUMPH framework, starting with the first and most critical step: thinking deeply enough to identify the true root cause before acting. She shares a story where engineering teams were blamed for missed deadlines and poor quality, only to discover that unrealistic sales promises were driving the failures. Fixing engineering alone would have guaranteed the same outcome. Later, Talila describes how employee-driven innovation led to a winning RFP against industry giants like Ericsson and Samsung, increasing revenue by 25%. The conversation also covers generative AI as a modern disruptor, comparing it to the early internet era—where some businesses perished, others became more productive, and entirely new markets emerged. Talila closes by explaining how leaders can use the TRIUMPH framework to approach GenAI transformation with structure instead of panic. Key takeaways: Why root-cause analysis is the foundation of transformation How stakeholder alignment determines success or failure Why top-down change doesn’t work without employee partnership How disciplined listening leads to better strategy and execution
What this episode covers
In this episode of Gaining the Technology Leadership Edge, Mike sits down with Talila Millman, fractional CTO, executive advisor, and author of The TRIUMPH Framework: Seven Steps to Leading Organizational Transformation. Talila has led transformations across large enterprises, scale-ups, and early-stage startups. She explains why most change initiatives fail—not because teams can’t execute, but because leaders misidentify the real problem. Using examples from her own career, Talila walks through the TRIUMPH framework, starting with the first and most critical step: thinking deeply enough to identify the true root cause before acting. She shares a story where engineering teams were blamed for missed deadlines and poor quality, only to discover that unrealistic sales promises were driving the failures. Fixing engineering alone would have guaranteed the same outcome. Later, Talila describes how employee-driven innovation led to a winning RFP against industry giants like Ericsson and Samsung, increasing revenue by 25%. The conversation also covers generative AI as a modern disruptor, comparing it to the early internet era—where some businesses perished, others became more productive, and entirely new markets emerged. Talila closes by explaining how leaders can use the TRIUMPH framework to approach GenAI transformation with structure instead of panic. Key takeaways: Why root-cause analysis is the foundation of transformation How stakeholder alignment determines success or failure Why top-down change doesn’t work without employee partnership How disciplined listening leads to better strategy and execution
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The TRIUMPH Framework: Why Most Transformations Fail Before Execution
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