
ProductiviTree #8 Decode, Design, Deliver – Computational Thinking for Smarter Productivity with Eric Sandosham
02/14/25 • 37 min
Summary
In this conversation, Eric Sandosham explains the concept of computational thinking, emphasizing its importance in problem-solving and productivity. He discusses how tools like Excel can enhance computational thinking skills and how these skills can be applied to everyday tasks, including email management. The conversation also explores the relationship between AI and computational thinking, arguing that both are necessary for effective communication and decision-making. Eric highlights the value of intuition in conjunction with computational thinking and provides practical steps for listeners to improve their computational thinking skills.
Takeaways
- Computational thinking is a thought process for problem-solving.
- Excel is a powerful tool for developing computational thinking skills.
- Many people underutilize Excel's capabilities for data analysis.
- Decomposition helps break down complex problems into manageable parts.
- Pattern recognition allows for systematic problem-solving.
- Abstraction focuses on key attributes while filtering out noise.
- Algorithmic thinking involves creating repeatable processes.
- Computational thinking enhances productivity in daily tasks.
- AI requires clear communication and structured thinking.
- Learning to code is essential for non-technical professionals.
Thanks for listening to ProductiviTree! If you enjoyed this episode, please subscribe and share.
🟢 Spotify
🔴 YouTube
Connect with me:
- Website: santiagotacoronte.com
- LinkedIn: Santiago Tacoronte
Have questions or suggestions? Email us at [email protected]
Summary
In this conversation, Eric Sandosham explains the concept of computational thinking, emphasizing its importance in problem-solving and productivity. He discusses how tools like Excel can enhance computational thinking skills and how these skills can be applied to everyday tasks, including email management. The conversation also explores the relationship between AI and computational thinking, arguing that both are necessary for effective communication and decision-making. Eric highlights the value of intuition in conjunction with computational thinking and provides practical steps for listeners to improve their computational thinking skills.
Takeaways
- Computational thinking is a thought process for problem-solving.
- Excel is a powerful tool for developing computational thinking skills.
- Many people underutilize Excel's capabilities for data analysis.
- Decomposition helps break down complex problems into manageable parts.
- Pattern recognition allows for systematic problem-solving.
- Abstraction focuses on key attributes while filtering out noise.
- Algorithmic thinking involves creating repeatable processes.
- Computational thinking enhances productivity in daily tasks.
- AI requires clear communication and structured thinking.
- Learning to code is essential for non-technical professionals.
Thanks for listening to ProductiviTree! If you enjoyed this episode, please subscribe and share.
🟢 Spotify
🔴 YouTube
Connect with me:
- Website: santiagotacoronte.com
- LinkedIn: Santiago Tacoronte
Have questions or suggestions? Email us at [email protected]
Previous Episode

ProductiviTree #7 The Low-Hanging Fruit is Rotten - Adam Malone on Fixing Workplace Jargon
In this conversation, Adam discusses the pervasive issue of corporate jargon and its impact on communication and productivity in the workplace. He defines corporate jargon, explores its origins, and highlights the confusion it can create among employees. Adam categorizes common expressions and acronyms, emphasizing the need for clarity and inclusivity in communication. He also addresses the cultural implications of jargon, suggesting that it can foster a false sense of busyness and hinder genuine understanding. The conversation concludes with practical advice for detoxing from jargon and improving communication effectiveness.
Takeaways
- Corporate jargon is often well-meaning but can create confusion.
- Expressions like 'think outside the box' can alienate non-native speakers.
- Overused terms like 'synergy' often lose their meaning.
- Acronyms can be efficient but may exclude others.
- Corporate hustle culture can lead to unnecessary complexity in communication.
- Asking for clarity can improve understanding in meetings.
- Insider speak can make individuals feel excluded and less confident.
- Consultants often introduce jargon to sound more knowledgeable.
- Reducing jargon can lead to more productive meetings.
- Effective communication should prioritize clarity over complexity.
Thanks for listening to ProductiviTree! If you enjoyed this episode, please subscribe and share.
🟢 Spotify: https://spoti.fi/4d17NpN
🟣 Apple Podcasts: https://podcasts.apple.com/us/podcast/productivitree-cultivating-efficiency-harvesting-joy/id1766690892
🟡 Amazon Music: https://amzn.to/3MILlXS
🔴 YouTube: https://bit.ly/ProductiviTree-Youtube
Connect with me:
- Website: santiagotacoronte.com
- LinkedIn: Santiago Tacoronte
Have questions or suggestions? Email us at [email protected]
Next Episode

ProductiviTree #9 Is AI Making Us More Productive or Just Mentally Lazy? | Chris Singel on AI & Productivity
In this conversation, Chris Singel, an AI optimist, discusses the potential of AI to enhance productivity and creativity while addressing common misconceptions and fears surrounding its impact on jobs and skills. He emphasizes the importance of using AI as a tool to handle mundane tasks, allowing humans to focus on more meaningful work. The discussion also touches on the ethical implications of AI, the need for authenticity in AI-generated content, and the evolving landscape of digital marketing. Chris advocates for a balanced approach to AI adoption, encouraging individuals and businesses to embrace the technology while remaining vigilant about data privacy and the human element in decision-making.
Takeaways
- AI can enhance productivity by handling repetitive tasks.
- Creativity is often a remix of existing ideas, both human and AI.
- Authenticity in communication is crucial, even with AI assistance.
- AI should be seen as a tool to augment human capabilities, not replace them.
- The fear of AI taking jobs can be mitigated by focusing on human skills.
- Data privacy and ethical considerations are paramount in AI usage.
- AI can help streamline business processes and improve efficiency.
- The future of work will require adaptability and continuous learning.
- Digital marketing is becoming increasingly granular and targeted due to AI.
- Trust and verification are essential in the age of AI-generated content.
Thanks for listening to ProductiviTree! If you enjoyed this episode, please subscribe and share.
🟢 Spotify: https://spoti.fi/4d17NpN
🟣 Apple Podcasts: https://podcasts.apple.com/us/podcast/productivitree-cultivating-efficiency-harvesting-joy/id1766690892
🟡 Amazon Music: https://amzn.to/3MILlXS
🔴 YouTube: https://bit.ly/ProductiviTree-Youtube
Connect with me:
- Website: santiagotacoronte.com
- LinkedIn: Santiago Tacoronte
Have questions or suggestions? Email us at [email protected]
ProductiviTree: Cultivating Efficiency, Harvesting Joy - ProductiviTree #8 Decode, Design, Deliver – Computational Thinking for Smarter Productivity with Eric Sandosham
Transcript
Eric, welcome to ProductiviTree Thank you. Thank you for having me.
So computational thinking, it sounds technical, sounds geeky. Can you break it down in everyday terms?
Sure, okay. think maybe it sounds geeky and I think it throws people off because of the word compute in there, or computational, and they then tend to associate it with computer science, right? And even in the title in your podcast sugge
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