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At BrightGauge, there’s no confusion about our love for coffee. Whether we’re enjoying our 3pm colada in the office or taking a group field trip to any one of several different coffee shops around town - we’re going to consume the liquid energy in some way every single day. So, one Friday during our group happy hour session, someone asked “how much coffee do you think we really drink?”

 

Image from iOS (5)

 

Being pretty obsessed with data is our M.O. at BrightGauge, so decided to let a dashboard speak for itself. Here’s what we came up with:

 

BrightGauge coffee dashboard

 

Now if you keep up with most of our product features, updates and announcements, you may be asking yourself how we put together this sweet dashboard. Did they announce some new coffee integration I missed?

 

Don’t worry - you haven’t missed any breaking news from our team! However, if you haven’t yet used our awesome Dropbox integration, let’s take a closer look at the coffee data journey and how it all came to be.

 

First, you should know that our Dropbox integration lets us pull in any data via a CSV… so, if you’ve seen Brian’s Wine Inventory dashboard you know how easy it is to think outside the Service Provider box on ways you can use our platform. Using the same process, we decided to put together the key metrics of our coffee consumption.

 

What data to gather

 

The first question we asked ourselves is “what questions do we want to answer?”.  Obviously we wanted to know about quantity but that naturally led to other questions we might want to know.  Here are the 5 topics we came up with:

 

  • Beverage Size - to help us track the most popular serving quantity
  • Type of Beverage - to see the type of brew
  • Location - to compare coffee consumed in office vs. at a coffee shop
  • Time of Day - to understand when people were drinking coffee
  • Amount of Coffee Consumed - to see who consumes the most coffee overall

 

Getting the Data into BrightGauge

 

We started gathering the data manually via our coffee Slack channel but that quickly proved to be too manual (although it did start some phenomenal conversations about coffee):

 

Slack coffee

 

So, we set up a Google Form to easily ask the necessary questions (you could also use SurveyMonkey), but the best part is that Google Forms will automatically drop the data into a Google Sheet. This allowed us to have the team fill out the link on a daily basis and collect the data without all the hassle of the manual process. Once we had enough data we exported it to a CSV.

 

Now that we had collected enough data and exported to a CSV, we simply uploaded the CSV via Dropbox to BrightGauge as a dataset. That allowed me to create the gauges you see below.

Dropbox integration

 

Making Sense Of the Data

 

As you can see from the gauge below, Kristian is by far our biggest coffee drinker - it makes sense given that he leads our Support and we need him “on” all the time:

 

total coffee consumed

 

It's also easy to see that the most popular option is to make coffee at the office and enjoy it in the company of our teammates:

 

coffee by location

 

It also makes sense that American coffee is our most popular option since the BGS Brew (the winner from the gauge above) is American. Although, we did just get a Cuban coffee maker and so I suspect that “slice of the pie” will be increasing over the coming weeks.

 

type of coffee

 

How Will You Apply This To Your Business?

 

Many times you have questions you want answers to, but no easy way to gather the data and display for others to see. Whether it’s Customer Satisfaction Surveys, Employee Surveys, Manufacturer Warranties Expiring, tracking supply inventory, or anything else - by using the BrightGauge + Dropbox integration you’re able to pull that data in and begin to analyze and visualize your data.

 

Stay tuned for more updates on the BrightGauge crew’s coffee of choice, and tell us... what fun data are you visualizing with your dashboards?

 

*Note: this post was originally published in 2015 and has been updated for accuracy. 

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