User adoption is (almost) all that matters...
I was speaking with an association recently about their needs for a new AMS. They had already tried and failed with two systems, and they were wondering if I could be helpful in getting them into yet another AMS, this time successfully!
In the course of the conversation, it became clear that one of the reasons the earlier implementations had failed is because a key staff person was not willing to adopt a new system. She had built the current system from the ground up. It was her "baby" and so moving to a new system was not only a bad idea, but an insult to her work.
Which brings us to a key point in data management: The best technology in the world won't work if staff won't use it.
As simple as that sounds, I've experienced this often in my work. I've come across many associations that have perfectly usable software that just isn't working for them. And very frequently, it's because staff has not adopted the technology. For myriad reasons, they've found ways to work around the system.
So before you move to a new software system (of any type!) make sure you understand the real reasons the software isn't working for you. If user adoption is a major challenge, find out why, before you make an investment in new technology!
![]()
Wes's Wednesday Wisdom Archives
Don’t confuse motion with improvement
Don’t confuse motion with improvement I wrote recently how action can produce information. But an […]
Perfection is expensive (in fact, it’s not possible!)
Perfection is expensive (in fact, it’s not possible!) “Perfection is expensive. The last 5 percent […]
AI is a journey, not a destination
AI is a journey, not a destination Lately I’ve noticed a lot of associations talking […]
Action produces information
Action produces information “Action produces information. If you’re unsure of what to do, just do […]
Why a single source of truth is so beneficial…
Why a single source of truth is so beneficial… The holy grail of data management is […]
Just because you can, doesn’t mean you should
Just because you can, doesn’t mean you should I’ve worked in and with associations for well […]
Data doesn’t need to be perfect to be useful
Data doesn’t need to be perfect to be useful “Your data doesn’t have to be […]
Don’t just clean data, clean reports and queries
Don’t just clean data, clean reports and queries One of the reasons I exhort my […]
Don’t forget, your staff have day jobs…
Don’t forget, your staff have day jobs… The vast majority of my work is finite […]
Beware the automated “How did we do?” trap!
Beware the automated “How did we do?” trap! One of the downsides of technology is […]
