Yep, without analytics you at least are likely going on anecdotal feel for things which while woefully incomplete is at least probably based on actual indirect experience, like number of customers you’ve spoken with, how happy they have seemed, how employees have been feeling, etc.
Could be horribly off the mark without actual study of the data, but it is at least roughly directed by reality rather than just random narrative made by a word generator that has nothing to do with your company at all.
I’m not sure, because you see I’m not C-level by far, but I feel the decisions in such cases are made based on imaginary version of clients, and what tops feel the clients want (that is what they think they would want if they were clients)
And they may guess right or wrong, though I agree that they may be more likely to guess right than an LLM, being humans and all
That is spot on. Also usually thinking the customer “wants” stuff that would be awfully convenient for the company. They want subscription fees and reduced functionality.
But they at least can tell when a customer is actively pissed when they actually have to face them, and have some takeaway from that. Often it’s “that customer was dumb anyway” but there at least a chance of maybe a course correction. It may be by some other executive using that feedback to snipe a current decision maker and take his job. Note I’m told that scenario may be playing out at work, as one executive made a call that lost a 60 million dollar a year customer and a junior executive got sent a copy of the client feedback and is now going over his boss’s head to try to take his job because it was directly tied to the current executive being a complete idiot.
Joke’s on you, we make our decisions without asking AI for analytics. Because we don’t ask for analytics at all
I feel like no analytics is probably better than decisions based on made-up analytics.
Yep, without analytics you at least are likely going on anecdotal feel for things which while woefully incomplete is at least probably based on actual indirect experience, like number of customers you’ve spoken with, how happy they have seemed, how employees have been feeling, etc.
Could be horribly off the mark without actual study of the data, but it is at least roughly directed by reality rather than just random narrative made by a word generator that has nothing to do with your company at all.
I’m not sure, because you see I’m not C-level by far, but I feel the decisions in such cases are made based on imaginary version of clients, and what tops feel the clients want (that is what they think they would want if they were clients)
And they may guess right or wrong, though I agree that they may be more likely to guess right than an LLM, being humans and all
That is spot on. Also usually thinking the customer “wants” stuff that would be awfully convenient for the company. They want subscription fees and reduced functionality.
But they at least can tell when a customer is actively pissed when they actually have to face them, and have some takeaway from that. Often it’s “that customer was dumb anyway” but there at least a chance of maybe a course correction. It may be by some other executive using that feedback to snipe a current decision maker and take his job. Note I’m told that scenario may be playing out at work, as one executive made a call that lost a 60 million dollar a year customer and a junior executive got sent a copy of the client feedback and is now going over his boss’s head to try to take his job because it was directly tied to the current executive being a complete idiot.
Wow, that story is completely awful and pretty believable
It almost certainly is, in as much as the one time and ongoing cost of not having some kind of data analytics team or system is $0.
I’d say the cost is much higher than that, it’s just not because of the salary for the non-existent analytics team
I don’t need AI to fabricate data. I can be stupid on my own, thank you.