If the goal is to get people back to work, it might not make sense to optimize just for better mental health.
I also don't get your son's response at all. How is he contradicting you at all and how does that lead to unwashed hair?
I ask my team to clarify requirements better. They say that they already have Jira. It's as if they were implying that the presence of a tool (Jira) should be enough to provide clear stories. But it's not about the tool. It's about them not using the tool properly but pointing at the tool (or process) as an excuse.
I ask my son to wash his hair. He says there is shampoo in the shower. It's as if the presence of the shampoo implies that his hair should be clean. It's not about the lack of tooling, but about the fact that he did not wash his hair with the tool that he had available.
People often blame tooling or methodology, but most often its that they don't know how to use the tooling or methodology well. They will say things like "if we only used X our problems would go away." Most likely, they won't.
I posted a lazy comment earlier because I did not have time to type it out. Apologies.
I am right and my son is right, but his hair is still not washed.
I became a more effective manager and a better father when I learned how to talk to him better.
This is what user stories were supposed to accomplish in a more lightweight way.
The whole scrum DoR (definition of ready) status means that something is clear and ready for development.
Stories are written and are sent to the engineering team for clarification. This is where the comments are supposed to come in. There is a clear step for clarification of stories, before the story is ready for development. It gets marked as DoR when that clarification is done.
It does not matter if you use RFCs, user stories, or hallway conversations as your process of clarifying work. If it does not work, it does not work.
Any way you can get your teams to communicate more clearly is great.
$8 billion / US adult adult population of of 270 million comes out to about $3000 per adult per year. That's only to cover cost of interest, let alone other costs and profits.
That sounds crazy, but let's think about it...
- How much does an average American spend on a car and car-related expenses? If AI becomes as big as "cars", then this number is not as nuts.
- These firms will target the global market, not US only, so number of adults is 20x, and the average required spend per adult per year becomes $150.
- Let's say only about 1/3 of the world's adult population is poised to take advantage of paid tools enabled by AI. The total spend per targetable adult per year becomes closer to $500.
- The $8 billion in interest is on the total investment by all AI firms. All companies will not succeed. Let's say that the one that will succeed will spend 1/4 of that. So that's $2 billion dollar per year, and roughly $125 per adult per year.
- Triple that number to factor in other costs and profits and that company needs to get $500 in sales per targetable adult per year.
People spend more than that on each of these: smoking, booze, cars, TV. If AI can penetrate as deep as the above things did, it's not as crazy of an investment as it looks. It's one hell of a bet though.
You may be thinking of high frequency trading. In that case, traders interact directly with an exchange - e.g. via direct market access[1] - so it’s a pre-established two-party interaction. There’s no particular technical difficulty with making that fast. Usually, slow transaction times are a consequence of the structure of the market, not a technical issue particularly.
[1] https://corporatefinanceinstitute.com/resources/career-map/s...