A curated series on leadership, problem-solving, decision-making and team grooming in the era of AI and Industry 4.0
In this episode, we cover prominent cognitive biases and how they affect our decision-making process.
In this episode, we’ll talk about phenomena that influence our decision-making ability and which aspects of our decision-making process lead us to bad decisions?
Decision making is a crucial leadership skill and is a tricky skill to perfect. Consciously evaluating and improving our decision-making process is a critical factor in becoming a good decision-maker. In this episode, I share some pointers on simple and hard decisionaking approaches
In this episode, I share a question bank that can trigger your thought process to assess the problem from various dimensions. https://link.medium.com/Nru0AxAhFbb
In this episode, I share reasons why an organization may choose to solve a problem later and not right away.
In this episode, I share why don’t we prevent problem always? How can we identify preventable problems? And how to decide to what extent you want to prevent a problem?
In this episode, I share different problem-solving strategies and where they are best applied.
In this episode, I share how problems can be addressed at three levels. And how to identify the level a problem needs to be solved at.
In this episode, I share how problems can be sddressed at three levels and how some problems should be identified and converted into assets.
In this episode, I’ll share a simple analogy covering different types of coaching opportunities that can be leveraged as a leader to coach your talent pool.
In this episode, we’ll look at how do you identify complex problems from complicated ones. And how can you fine tune our problem-solving approach and team construct to solve them better.
How do you know you are targeting the correct problems and not going after “Ghost problems”? Here are few pointers to help you find out.
In this episode, I share some key takeaways on which problems lend themselves best to a highly structured problem-solving approach and which ones are best kept flexible and nimble.