ENTRIES TAGGED "learning path"
My obsession with data and user needs is now focused on the many paths toward data science.
Over Thanksgiving, Richie and Violet asked me if I preferred the iPhone or the Galaxy SIII. I have both. It is a long story. My response was, “It depends.” Richie, who would probably bleed Apple if you cut him, was very unsatisfied with my answer. Violet was more diplomatic. Yet, it does depend. It depends on what the user wants to use the device for.
I say, “It depends” a lot in my life.
Both in the personal life and the work life … well, because it really is all one life isn’t it? With my work over the past decade or so, I have been obsessive about being user-focused. I spend a lot of time thinking about whom a product, feature, or service is for and how they will use it. Not how I want them to use it — how they want to use it and what problem they are trying to solve with it.
Before I joined O’Reilly, I was obsessively focused on the audience for my data analysis. “C” level execs look for different kinds of insights than a director of engineering. A field sales rep looks for different insights than a software developer. Understanding more about who the user or audience was for a data project enabled me to map the insights to the user’s role, their priorities, and how they wanted to use the data. Because, you know what isn’t too great? When you spend a significant amount of time working on something that does not get used or is not what someone needed to help them in their job.
There's a lot to be said that's positive about our declining economy. (Yeah, it's an odd beginning. But hang in there with me.) In the publishing industry, for example, we're having to be a lot more careful about what products we release. We're also having to be more efficient in our products; people want more for less.