Preview: Intelligent Conversation with Michael Toland
How curiosity, constraints, and context shape better data products, intelligent systems, and real outcomes
I had an insightful conversation with Michael Toland who is a Senior Product Management Consultant at Test Double, With years of product management experience including a decade at Verizon, he specializes in data product strategy, reference data platforms, and intelligent systems. He’s also a coach, speaker, and contributor to the Test Double blog, “Straight Data Talk” podcast and "Data Product Management in Action Podcast". Recognized on Columbus Business First’s “40 Under 40,” Michael is known for his practical, curiosity-driven approach to framing problems, applying constraints, and turning data into actionable products.
Full clip drops next Friday July 11th at 7 PM EST and I’m excited for you to hear it.
Key takeaways were:
AI is perceived to replace certain roles, but the reality is more complex.
We need to rethink our approach to AI and human intelligence.
AI is not a direct replacement for human roles but a different tool.
Overthinking prompts can hinder effective AI usage.
AI should be used to understand personal needs and context.
The Eisenhower Matrix is a practical tool for kicking off with product management.
Identifying known knowns and unknowns is crucial for learning.
Questions drive the inquiry process and knowledge acquisition.
Simplifying AI interactions can lead to better outcomes.
AI understanding the user is key to leveraging AI effectively.
For now, here’s a quick preview.