This is my favorite type of research for any field for a variety of reasons: it's practical, it helps people, it tends to cut through feelings and deals with facts, and it leaves room for people to be surprised.
The downside is that the questions are often complex and the answers multi-dimensional. That's why good research of this kind is so darn impressive. I read a great article today about Jacqueline Campbell and her work to reduce domestic homicide. She started with a complex problem, and worked both forward and backwards until she came up with something that worked. Working backwards, she went deep in to the statistics to figure out which situations were the most likely to result in homicide, and then trained the front end responders how to reach out to those who were at the most risk. While she will not claim credit, it is noted that the state where she implemented this program (Maryland) has cut their domestic homicide rate in half.
Domestic violence is an issue that can very easily get mired down in politics and emotion, so it's interesting to note that this is one of the few programs that is getting bipartisan support. That's such a good outcome when somebody actually pragmatically addresses an issue rather than just catering to their own pet theories.
To note: starting research with a goal in mind is beneficial only when it's not a guise to push an agenda. It's only good if you really don't know how to get there. I feel this is research at it's best, research that actually helps a real world problem. I have nothing against research that helps us see the world in new ways, but my practicality bias is probably why I did engineering and not theoretical physics. It takes all types, I just wish more would focus on the "how do we get there" type questions.