The simplicity of this statement is that you are trying to do something and figure out what went wrong. try { // Try to do something } catch { // What went wrong? } The part not listed is the finally clause, which sometimes I think should be called “Again” as in – try again, don’t give up – don’t stop. It’s like the teacher saying “Again. Again. Again” – until you have it right.
Checklists are great, I use them infinitely all over the place. But where they fail (and fail me) is the reorganization of said lists based on priority changes, based on workload changes, based on what I’m doing changes. This is where AI could do something useful to help out – reorganize a checklist against what I already have going on in my life. Adjust, refine, redistribute – until then, I’ll keep doing it myself.
A proposed idea is easy to turn down. There hasn’t been any investment, there’s been no plus or minus, there’s no loss if you do nothing. Investing in an idea is where commitment starts to happen, even though doubts still linger – will it work?, can it work?, do they really want it?, is it worth it? what else could I be doing with my time? All those doubts start to permeate the shell of…
Ask. And mean it, “Tell me what you think, is it garbage? Is it good? Is it a mess? Does it do what you want it to do?” We use to invite users to come to our offices to try out new versions of our products. Users, in our offices. No remote or virtual calls, in-person connections where we saw their faces scrunch up at a horribly implemented feature. And then we’d go out to…
The final “chance” you have of keeping a customer is defined by how hard you make it for them to switch services. Make it a pain, and you are fueling them, pushing them away faster then they might want to go. Make it simple, you give them a second to pause, maybe I can work with this, maybe I can figure it out, maybe they aren’t so bad. It’s up to you, how much do…