Published: May 6, 2024
Imagine you are in a rush to join a wedding and your suit needs some work such as, shortening the length of your pants, ironing your shirt, dry-cleaning your jacket, opening additional holes on your belt.
Usually, there is a a place that does all of these things and by taking your suit there, you can get it completed in a reasonable time.
Now imagine you had to go to a different place for all these works. It'd take a couple days to get these done and you'd definitely miss the wedding.
This story sums up how beneficial generalists to our life compared to specialists. If generalists make our lives easy as seen in above example, then what is the hype about specialism? Why do we glorify specialism and specialists and how did we end up with all the specialists?
Long ago, everyone used to be generalists. You'd grow your own food, defend your propoerty by yourself, educate your children at home, fix anything broken at home by yourself.
Then we started to contract some of these duties to others, as we were not very good at all these things. You'd let a skilled farmer grow your food, a good plumber fix anything broken at your place.
Moreover, we created countries and governments and we entrusted them big duties such as defense, crime protection, and educating our children.
This way, everybody found an area that they were good at/ they could develop skills and made money only through this specialized area. Then we started using this money to receiver the services that we entrusted others to do.
Overall, things were going well, as people specialzied in certain areas, they increased their efficiency, and the economic output of such activities was much higher compared to the times when everybody did everything. Specialization helped civilizations improve their knowledge and skills across all areas.
Specialization is great, unless we overdo it.
This usually happens in sofware development.
We usually work in teams where each team member carries a responsbility. For example, in a typical software project, you'd have a designer (UX, UI Designer), an engineer (maybe many of them: front-end, backend, quality assurance), product owner, software architect..
In a data science project, you'd have roles like machine learning engineer, data engineer, data scientist, team leader, subject matter expert..
Recently, there are newly created roles like scrum master, prompt engineer etc.
This is manifestation of an issue that I call overspecialization. The issue with overspecialization is that we lose holistic approach. We end up depending on a web of skillsets that even when a team member is missing, the whole project comes to a haul.
Product owner doesn't know how to code, so she can't really understand the possibilities available in the product from an engineering perspective. Sometimes she requests engineer to do things that are not viable. Sometimes she readily thinks something is difficult to implement, but it might be easy from an engineering perspective. Overall, she doesn't have visibility into the engineering stack of the project.
Same goes for other roles. For example an engineer might think of a new feature, but it wouldn't make sense to implement from business perspective.
The more roles we create within a team, more dependencies we end up creating, and more time lost while these roles are communicating. This is one of the main reasons why sofware projects tend to overrrun their schedules.
This also severely hinders the improvement possiblities of a project. If the team lacks a person that has an holistic understanding of all roles, than it'd be near impossible to bring radical and lasting improvements to the products.
I recommend we re-evaluate the roles in our teams. For example, do we need seperate people for front and back end? Can we have someone that can do both?
Do we need a machine learning engineer or data engineer? Can our data scientist handle tasks relevant to these roles?
Why do we even need a prompt engineer? Do works related to that role justify having a separate role?
Should we have product owners who don't know about engineering? This can severely hinder project delivery both in terms of timing and quality.
Once we do this self reflection, we can start seeing which roles are not needed anymore in the team. These people should be given a chance to upskill themselves and stay in the team.
Once we have people who are good at multiple inter-connected things, we should be able to see our products shipping faster and better. Costs should come down too.
Do you feel overspecialization is an issue at your work place too? Or do you think otherwise? Let me know in the comments.
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