Practical User Adoption – Time Based Delivery


I spend a lot of time posting about data and how you are supposed to use that to drive your adoption activities – but what does that look like in the real world?

Here is a real world scenario – this is a large migration where we are seeing users that are using OneDrive, but they are viewing documents mostly and not fully taking advantage of the sync and share features. We have identified this as an area that we really want to improve usage and gain efficiencies. We know that if we can show users how to easily share content using OneDrive that we can save them multiple clicks and make transitions much smoother for them. We know in the long run – learning to do it differently will actually save them time and be easier.


Looking at the data, I know where we have an issue – we can easily identify the features we want to use more. But that isn’t the end of the story. When it comes to user adoption there are so many ways that we can address it, here are just a few ideas:

  • Training Webinars
  • Learning Email Campaigns
  • Classroom Training
  • On-Demand Training

With so many options, how do you know the best options before you even select one? One secret is to look at the past history of your users patterns. If you are tracking the learning activities that people are completing and if you are identifying trends you are actually gathering very useful data that is going to help guide your choices in the future. In our case, when we look into the trends of our users we know a few things for certain.

  1. Users Open Links in Learning Campaign Emails
  2. Users are most active during their lunch hour.

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Based on this data – we have decided that we are going to approach this by creating a series of learning paths that highlight the value and benefits of advanced OneDrive features. The learning paths will be around 15-25 minutes each and will be full of real world examples and scenarios. We will tell users about the training through learning campaign emails sent to users around lunch over a two to three week period. This allows us to target the times that they are most likely to be completing training already and simply become part of their natural daily activities vs being another thing they need to complete.

The only reason we are able to make these decisions is because we are taking care to monitor the analytics of not only our technical usage, but also our users behavior. Remember! If you don’t take the time to look at user adoption completely – the IT side and the human behavior side, your missing key data that could be the missing piece to your own digital transformation!

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