- Mar 2, 2021
- 4,093
- 1,208
Lately, I've been wondering how individuals know when it's time to take a concept from testing to a real, live context.
There is always a difference between something that works in testing and something that works well on a large scale when you use automation, infrastructure, or AI-driven workflows. Pushing too soon can produce problems, but waiting too long can slow things down or destroy promising ideas.
In my experience, short, measurable trials with clear success criteria tend to show more than big, complicated test setups. Still, it's not always clear when the change happens.
How do you tell whether someone is ready? Do you trust analytics, time spent testing, failure scenarios, or your gut feeling based on experience more? I'd like to know how other people here make this choice in real-life projects.
There is always a difference between something that works in testing and something that works well on a large scale when you use automation, infrastructure, or AI-driven workflows. Pushing too soon can produce problems, but waiting too long can slow things down or destroy promising ideas.
In my experience, short, measurable trials with clear success criteria tend to show more than big, complicated test setups. Still, it's not always clear when the change happens.
How do you tell whether someone is ready? Do you trust analytics, time spent testing, failure scenarios, or your gut feeling based on experience more? I'd like to know how other people here make this choice in real-life projects.