Like every other Ph.D. student, I am having a tough time finding a good research question.

Thanks to Varian's advice "how to build a model in your spare time", I can come up with a lot of interesting topics and questions (judged by my peers and supervisors). Still, when I start looking at the literature or the data structure I need, I find myself in one of the following situations:

  1. There is already a published article way better than what I thought explaining the issue
  2. The problem is worth pursuing and there is a gap. Yet, the dataset is not available or too costly for my budget

This process seems very time and energy-consuming, and while the latter resource may be renewable, the former is not.

Am I doing something wrong? How many research questions does an experienced researcher throw away as not worth pursuing?

  • 6
    I don't feel it is possible to quantify "number of research questions".
    – Bryan Krause
    Commented Mar 18, 2021 at 16:20
  • Aside from this being a request for opinions or anecdotal information, talk with your doctoral advisor. If they have grant funding, the work does not get done by itself. If they do not have grant funding, then that talking part is even more important. Best of success!
    – Ed V
    Commented Mar 18, 2021 at 16:41
  • 7
    Maybe in your field there are more well-defined research questions, but in mine we could discuss a couple dozen in one meeting. Do those all count? How far do we pursue them before it counts as having explored a direction? Alternatively, I could say I've spent the past 12+ years working on a single research question. I could also choose any number in between by simply adjusting the definition of "research question".
    – Bryan Krause
    Commented Mar 18, 2021 at 16:46
  • 2
    @BryanKrause, I now understand what you mean. In my context, I am basically cut out from the whole department due to the pandemic, so the few ideas I get and I explore take at least a month of work to understand that it's a dead end. I am now convinced that the problem is the lacking discussion phase, as Ed V suggested. Commented Mar 18, 2021 at 16:56
  • 2
    It is unending. For every research question I come up with, I generate N more questions. This continues forever. Commented Mar 18, 2021 at 21:53

1 Answer 1


I guess the only valid answer to this question is literally, "As many as it takes". Research is about diving into the unknown and that is fundamentally the issue. When you start, you don't know.

First an anecdote, then some advice.

I worked on three problems for my dissertation work. The first was too easy and I was able to prove theorems every day. Easy, but therefore not significant. I gave up after a couple of weeks. The second problem was too hard. Nothing I thought of could make a dent in any way in the problem and insight was elusive. The third was just right. It was hard, but do-able, and it turned into quite a significant piece of work.

But, and this is the advice part, along the way to solving the third problem I developed insight into not only that problem but into other problems that were related, some closely and some not. I was smart enough to capture those ideas as they occurred as possible future work and when I finished the dissertation I had a file of potential expansions and parallel things to work on in the future. That is a very big deal. That file of ideas that may be more than you can do at the moment, but should be looked at later.

So, as you are doing your literature search, look for those possible extensions and/or parallel tracks that might prove fruitful and keep a file of those ideas. You can attack the most promising ones now and it might lead to success but you will probably also have other ideas as you work. Add those to your file.

If you are really doing research then there are no guarantees that anything will be both doable and significant. You have to keep looking. A good advisor (I was lucky there) can help greatly in this. But the unknown is unknown until someone makes it known.

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