Tell them why you want the data
Because data is so easy to collect these days, there's a tendency to try to collect all kinds of data about our members and customers, in the hopes that "maybe we'll use that data eventually."
One of the (many) problems with this approach is that our members and customers are becoming increasingly wary about sharing data that isn't critical to the transaction at hand. For example, many associations are focused on DEI (diversity, equity, inclusion) issues, and as a result, are asking their members for lots of personal information (e.g., race, ethnicity, gender, sexual orientation). But if the association isn't absolutely clear about how that data will be used, members will be less likely to provide that data.
Case in point: I was speaking at a conference alongside an association executive. As part of the speaker registration form, the hosting association asked for sexual orientation. The association executive speaking with me refused to provide that info, emailing me and asking "How is this relevant?" She wasn't trying to be difficult, she simply was asking "How are they going to use this data?"
When we ask for data that is not directly related to the transaction at hand, we have to be very clear about why we want that data and how it is going to be used. Because if it's not absolutely clear why you're asking, or what the data is going to be used for, many of your members will simply not tell you.
![]()
Wes's Wednesday Wisdom Archives
Are you sure it doesn’t do that?
Are you sure it doesn’t do that? Even after 20 years of consulting, I’m surprised […]
Be grateful
Be grateful As Thanksgiving approaches here in the US, I’m reminded of two words: Be […]
Do you really need to approve them?
Do you really need to approve them? I often joke that the very best (because […]
Negativity bias is why we need database PR
Negativity bias is why we need database PR I’ve written before how cognitive biases can affect […]
A system change requires a culture change
A system change requires a culture change By its very nature, when you introduce a […]
Where is that data?
Where is that data? This is what data management nirvana looks like: When the question starts with […]
Be deliberate, but act quickly
Be deliberate, but act quickly Be deliberate, but act quickly. These are my words of […]
Why associations don’t like the “S” word
Why associations don’t like the “S” word A couple of weeks ago I asked my […]
The “S” stands for “Standard”
The “S” stands for “Standard” In a conversation with a past client, we were discussing […]
Is that meaningless data?
Is that meaningless data? I’m not a big quotes guy, but one of the few […]
