Making Data Awesome
Barry and Sara discuss Thoughtworks’ mission to become data led. The best software or spreadsheet means little if people don’t know how to use the data, they both agree. “The pursuit of business intelligence and dashboarding and data is one thing, but what you do with it is another,” Barry comments. Sara realized that her strength was in seeing the user’s perspective; she got comfortable asking questions such as, ‘Will the user understand this?’ and ‘How are they going to use it?’ She tells Barry, “I realized that a lot of design thinking and product strategy apply really well to technology but also to the data space, because at the end of the day it’s always [about] how we are empowering people and what they're going to do with it.” [Listen from 9:00]
Shifting the mindset from data and dashboards to people was a tall order, Sara says, but it was the only way forward. People don’t care about data per se; they just want to do better work. This was the principle behind their Data Awesome framework - for users to experience data delight instead of data frustration. Data delight is “when the data experience exceeds expectation because the users feel empowered to complete what they have to do in a better way that they couldn't do before,” Sara explains. The Data Awesome framework is made up of six simple steps including:
Understand the audience;
Define the job to be done;
Determine the questions to answer to get the job done;
Find the answers. [Listen from 14:45]
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