After the warm reception that my previous Top Ten post received, I decided to add another one, but this time a little different. As most people do not have the patience to look through archives of the blog for posts that do not contain the easily recognizable keywords for topics of interest, I thought to remind my readers of several posts I published in the past that to my opinion are very important for everyone to know.
Here they are.
Craftsman, Scientist or Artist – who are you? Three approaches to Expertise
I have to say, from everything I’ve written – this is clearly my favorite! A simple metaphor that actually explains a lot, for example – why three people working in the same field for a similar period of time may still not understand one another. Because it’s not just about the level of Expertise, but also about its type. Everyone may benefit from knowing about which type of expert they are, as well as about other people around them. It may actually save a lot of misunderstandings that are so frequent in the workplace 🙂
Risk Management to the rescue – control your Biases by proper Risk Responses
Many people have learnt about applying Risk Management instruments to the projects they work with, but what about the always-present risk of Bias? In this post you can learn about how to apply your classical Risk Responses to control your Biases, as well as learn something more general about the response themselves.
Disaster Management – something to learn from
Multidisciplinary approach is preached all over the world and it’s a good sign, because it means we begin to understand that the problems we need to solve are a little bit more complicated than we’ve thought before. Here is a good chance to draw from experience of a different discipline, but still – very relevant to what most of us do.
5 Thumb Rules for Management in times of Austerity
Some people say that the economy is back on track while others warn that another wave of the crisis is imminent. Whatever the case, it’s clear that abundance of resources to spend will not be with us for some time, so every Manager should learn about functioning in this constrictive environment.
Utilizing Data and Research in Management
We are constantly being lied to, and lying with numbers is even easier than with words. If you don’t want to be a slave to the numbers others present to you or want to understand the numbers you yourself produce – this is the post for you! Only reliable information received from proper research of high-quality data may guide us in our endeavors, so it’s always better to know who and what could be trusted, and at which circumstances.
Small Business owners – Managers or not?
If the question in the title of the post seems relevant to you – the answer is inside. Just look at the table I provided here and all the similarities and the differences between Organizational Managers and Small Business Owners will fall into place.
When to stop doing what you’re doing?
We are loosing too many resources by continuing to invest them into unsuccessful projects. When the failure seems imminent, the best strategy is to cut your losses by withdrawing, but when is the best time to do it? Look at the graphs inside the posts and it will become clear as day 🙂
Constant change of human resources – the impact on our projects
A very targeted discussion of why we should value the people we’re working with. It may seem natural that people come and go, but then failure should become natural as well, because the losses we sustain when people leave could have a much more profound impact on our projects. Read the whole series that come after this post if you want to know how the impact of constant change of human resources could be minimized.
Why do you need long-term goals?
Ah, the Fog of War 🙂 Look at the pictures, if you ever get into a discussion about the subject – just show them to another person and it will settle it 🙂
Life without biases Part 2: Where do they come from?
Well, ultimately I started this blog to tell people about Biases that haunt our decision-making. In this post I provide a definitive distribution of Biases into 5 types, emphasizing the level of control we may have over each type. If you pay attention to the level of interest this issue receives in the last years, this is definitely a good place to start.
Did I miss anything? If you think so, I’ll be glad to hear, so feel free to comment 🙂