"Navigating Technical Transformation: A CTO's Guide to Making Difficult Decisions - Original vs ChatGPT Generated" - ChatGPT
Who wrote it better? I asked ChatGPT to rewrite my latest article for better engagement. Here's what it came up with
I’m curious how content creators can leverage AI Chat to improve content. I fed ChatGPT my latest blog post and asked it to re-write it for better engagement. I also requested the title for this post as well. Here’s the result. Who wrote it better?
Navigating Technical Transformation: A CTO's Guide to Making Difficult Decisions
When a CTO is faced with a "No" to a technical transformation proposal, it can be a frustrating and disheartening experience. But it doesn't have to be the end of the road. In this article, we'll explore six key considerations that can help CTOs navigate this difficult situation and find a path forward that minimizes risk and maximizes success.
First and foremost, it's important to remember that risk mitigation is one of the primary responsibilities of enterprise IT. When a proposal for technical transformation is met with a "No," it's important to take a step back and assess the risks involved. What is the worst-case scenario? How can you prepare for it? Having a detailed plan in place can help you navigate the situation and minimize the potential negative impact on the business.
Another key consideration is the time frame for transformation. When faced with a "No," it's important to be forward-thinking and proactive. Prototyping and proof of concepts can be invaluable tools for exploring different options and gathering the information you need to make informed decisions. By having a solid time frame and cost estimate for the technology side of the changes, you'll be better prepared to make your case when the time comes.
Building partnerships is also essential for successful transformation. Getting to a solution in a given industry often requires the input and collaboration of multiple stakeholders, both internal and external. Whether it's engaging with peers, vendors, or regulators, building a network of support can help you navigate the complex landscape of technical transformation.
Another important aspect to consider is the root cause of the problem. When a proposal is met with a "No," it's important to understand why. Conducting a thorough root cause analysis can help you identify the contributing factors and take steps to address them. This is especially important if you are in a regulated industry, as regulators will be looking for answers.
Finally, it's important to remember that successful transformation often requires a change in culture as well as technology. A simple example is remote work. While the technology and infrastructure for remote work may have been in place for years, the culture and mindset were not. By piloting the idea with smaller, willing groups within the organization, you can build support and gain valuable insight into the challenges and opportunities of remote work.
In conclusion, being told "No" to a technical transformation proposal can be a difficult and frustrating experience, but it doesn't have to be the end of the road. By taking a step back and assessing the risks, being forward-thinking and proactive, building partnerships, understanding the root cause, and addressing cultural challenges, CTOs can find a path forward that minimizes risk and maximizes success.
IM(ns)HO there's no comparison. The original is... original. It's engaging. It uses specific real-world examples and predicts not only outcomes but also the reader's questions.
The generated text is - both objectively and by comparison - bland, repetitive, and lacks any meaningful insight or actionable advice.
I think (and have blogged about - I'll be gauche enough to mention my post, but not so gauche as to link to it here) ChatGPT has a place, and will certainly improve in quality over time. But I also think that trying to get it to "replace" is the wrong goal. The question (I believe) is how we can get ChatGPT and other AI tools can assist or augment.