I am always amazed at how many software projects fail. Most of these projects have great people working on them, doing the right things, and yet the project still fails. Even if
In my last post, I outlined What Complexity Science Tells Us About Requirements. This post will focus on one of the key findings in complexity science: since complex adaptive systems
Complexity science is a scientific discipline that studies the behavior of complex systems. So what does it have to do with software and product requirements? As you’ll learn, quite a
My last post asked: Is social media useful for requirements elicitation? In this post, I will explain why it is not only useful, but essential. That is because the more
Answer: it has to be. Requirements elicitation is a communications-intensive process, so by definition, any tools which improve communications will improve your requirements. The only question is how best to
What is a killer app? It’s not lethal! Generally, a killer app is an enhanced version of an existing technology that makes the technology much more usable, and thereby exponentially
Every project needs well-defined business objectives (see here for the ArgonDigital approach to this) in order to be successful. They are likely the most valuable statements about your project and
They didn’t know the product development manager would quit one week into the project due to a disagreement over the correct pronunciation of agile. They did not know that top
I wrote a previous post telling you that The Purpose of Setting Success Metrics is Not to Achieve Them. Now, I’ll tell you about the worst success metric of them
Your success metrics should start providing value for the project from Day 1, well before the results are measured. Let me start off with the key point so that you
Last month, I told you that Your Project Plan Should Be Wrong. Now I’m telling you that your product strategy should be wrong. Why am I telling you that all
Why don’t projects ever go according to plan? Because your plan is wrong. Worse, it is supposed to be wrong. Why? Because you’re not omniscient and can’t predict the future.
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