It took me a decade to realize that what old clients truly wanted when, years after I had helped them with the software requirements for one of their projects, they’d contact me and ask if I could help them again with a challenging project. “I’ve stopped doing this kind of work a long time ago!”, I’d think. “How come these people don’t have some other Ba’s (business analyst) at the top of their contact list that they could be calling to help them now?”
Had I asked, I don’t think these folks would be able to articulate why they thought I’d be a better choice than another BA (business analyst) they had on their team more recently. The few times someone volunteered a reason, it would be like, “we like your eye for detail”. But I knew that there had to be more than that, as I can’t be the only detail-oriented analyst they had worked with over the years.
It was a recent conversation with a senior professional who asked my help on an application of machine learning models that finally illuminated the answer for me. This senior professional is friends with one of the most respected researchers in the type of machine learning approach he wanted advice on. He told me he had initially thought of going to this friend for help, but then realized I’d be a better source of advice. I asked , why ? , and he said, “I guarantee that would immediately jump to a discussion of algorithms and evaluation methods, but I realized that you would be starting from a much broader perspective, one that might help me confirm or dispel the assumption that a machine learning model is a right choice for my problem”.
This exchange made a light bulb (idea) go off in my head. The reason why top-performing business analysts (BA’s) tend to be so effective in complex projects, even when their domain knowledge is limited, is because of their ability to see things from a higher angle and with more nuanced colors.
“I don’t get it!”, a startup founder or VP of Product would tell me when asking for help to figure out why a solution was underperforming. “Our customers love the demo of our [dashboard/new feature/etc.], but when we look at [usage statistics/conversion rates/etc.], they are pitiful.”
“I don’t get you not getting it!”, I’d think. After a short conversation with stakeholders, I’d know exactly why the solution wasn’t working for its intended audience. The answers may seem obvious as you read them here, but in reality, I’ve been hired as a highly paid consultant more times than I care to remember to provide these obvious answers to a puzzled executive:
The more I think about it, the more I’m convinced that best BAs develop “bird’s eye” abilities beyond the traditional definition from the dictionary. Because birds not only what can see things from a privileged angle when in flight, but they are also much better than humans at detecting differences between two similar colors. As a result, scenes that may appear more varied to them.
And that’s what makes top-performing BAs stand out: like birds, they see the world differently than most people, using a broader and more nuanced perspective of the problems, opportunities, and solutions they’re working on.
You may be thinking that “This all makes sense, but it’s easier said than done: how do I develop this ability to see things using a wider angle and a more nuanced perspective?”
I’m not going to lie and say it’s easy. However, like with most things we get better at over time, this is achievable with deliberate practice. Here are some examples of how you can start developing your “bird’s eye” abilities:
The reason these kinds of questions are effective is that they help us fight a common human trait: confirmation bias, our tendency to seek out information that supports what we want to be true, rather than go hunting for disconfirming data. Questions like these compel you to look for contradictory information, which automatically broadens your perspective and makes your analysis more nuanced.
Even the most talented BAs can get trapped into the same points of salience, the same causal relationships. Due to confirmation bias, they may end up producing the same kind of resolution every time, even when the context demands something different. The next time you’re joining a new project, make a point to “be the bird” on the team. You may find yourself coming up with new ideas that minimize the amount of work required to achieve the desired outcomes, creating innovation opportunities for your organization, and becoming the business analyst that former managers or clients will call years from now when they have a high-stakes project to staff.
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