A few months ago, I wrote about an experiment I conducted where I tracked how often our users were clicking on the date picker buttons in our reporting platform. The results to this experiment were so profound that they led to a significant change in our product. Since then, I have become fascinated with the idea of tracking usage statistics within our products.
Over the past two months, I have built a full-featured product analytics tool that tracks every single thing that a user is doing when logged in to our platform, when they are doing it, and even how long it takes them to do it. Here is a screenshot of what that data looks like on our end:
As you can see that this data is organized onto a timeline where the date range can be adjusted. There are four categories, each of which is expandable. These categories are Configuration, Lead Box, Reports, and General. In the screenshot, you can see that I have expanded the Configuration category, so that I can view when users in this account have set up automated reports, tracking lines, staff, and users. I have also expanded the Reports category, so that I can view when users are actively viewing each specific report, and for how long. If the user’s mouse stops moving for two minutes, we stop tracking data until their mouse moves again. If I want to view data for a single specific user, I can select an individual user from the dropdown in the top right. Lastly, I can hover over each data point for more detailed information.
All of this new data will be critical in shaping the future of our product development, as well as the manner in which our consultants train our users to use our products.
To take things a step further, we recognized that there are certain one-time events and actions that are critical to the progression of each user’s understanding of our product. By tracking these events, we can identify the next steps required to ensure that each user is getting the maximum value out of our product. Here is an example of what that data looks like on our end:
You can see that there are four types of events – Critical Events, Secondary Events, AC Events, and Support Cases. There are only about six Critical Events in total, and these events are the steps required for a brand new user to get to the WOW moment within our product (the moment that they realize how awesome and valuable our product is). You can see in the screenshot that I am hovering over the second Critical Event – “provisioned first line”. Behind Critical Events are Secondary Events. There are many more Secondary Events than Critical Events, and while these are important, they aren’t quite as urgent for our consultants’ attention. And that brings me to AC Events. Our Associate Consultants (ACs) spend most of their time reaching out to our clients, training on our products and ensuring that each customer is receiving maximum value. And lastly, we log when a support case has been created in association with this account.
Altogether, this event timeline paints a great picture of the lifespan and progression of every single one of our clients. You can be sure that in the coming months, there will be some great changes coming to our product as a result of this new data that we have just begin tracking.




