Showing is not teaching
In my experience, when new staff members are taught how to use their AMS (or LMS, CMS, FMS, etc.) they aren't really taught how to use the system, they are shown how to use it. So what's the difference?
In a nutshell, showing only covers the "how" and "what." But teaching also covers the "why." It provides context.
So rather than just pointing and saying "click these buttons to process a new member," we also explain why each button is pushed, what happens with each change of data, and how the data is then used going forward.
This is important for many reasons, not the least of which that it helps with retention. It also gives the learner an opportunity to ask "why" questions that might actually lead to improvements in process!
So next time you have to "train," staff, make sure you're not just showing, but that you're actually teaching.
Wes's Wednesday Wisdom Archives
Write it down!
Write it down! If you’re in the market for a new AMS (or any new […]
Why “weeding the garden” is so important
Why “weeding the garden” is so important One of the most important activities for maintaining […]
It’s time to stop excusing association professionals
It’s time to stop excusing association professionals I worked in associations for nearly 10 years, […]
More demos is not better
More demos is not better When I work with clients on selecting a new system, […]
The database owner should be “passionate”
The database owner should be “passionate” I’m frequently asked by my clients: “Who should we […]
Discipline is required
Discipline is required Last week I discussed the importance of taking action. To manage data […]
Action is required
Action is required Over my many years of consulting, one thing I’ve noticed about many associations […]
Some data analytics tips from the DAN “Science Fair”
Some data analytics tips from the DAN “Science Fair” Last week I had the opportunity […]
Are all your processes frictionless?
Are all your processes frictionless? I’m not a huge fan of buzzwords, but I love […]
Trends don’t need perfect data
Trends don’t need perfect data When it comes to analyzing data trends (changes in data […]