Writing a Research Proposal: Question, Feasibility and Milestones
A proposal argues that a question is worth answering and that this group can answer it. The hard part is feasibility: naming the step most likely to fail, saying how it will be tested early, and what the project becomes if that test goes badly.
What a learner can do afterwards
- States a research question narrowly enough that an experiment could settle it
- Identifies the riskiest step in a plan and schedules the experiment that tests it first
- Sets milestones that a reader outside the group could check
- Writes a fallback that keeps the project useful if the central idea fails
1 · Read
A proposal argues that a question is worth answering and that your group can answer it. Start broad, then narrow to a question one experiment could settle. Name exactly what you will change, what you will measure, and what you will keep the same. The hypothesis must be testable: some possible result has to be able to prove it wrong. If you cannot name those things, the question is still too broad.
Lay out the methods, materials and order of steps so a reader believes the work fits your time and tools. Then admit what could go wrong: name the step most likely to fail and test it first. A small early failure costs little, while the same failure found late can sink the project.
A panel handing out time on a shared instrument, such as a synchrotron beamline, sees far more requests than hours, so it asks the same questions you should ask yourself. Is the question clear enough that the work could settle it? Can this team do it with the time and equipment requested? Are there checkpoints along the way? Read your draft the way that panel would.
Set milestones an outsider could check, and write a fallback that keeps the project useful if the central idea fails: shrink to an answerable part, switch methods, or report the negative result as real knowledge.
Narrow the question, test the riskiest step first, and promise milestones a stranger can check.
The rewritten readings were written for this dataset.
2 · Watch
Take it off screen
Where it sits
8 questions wait behind this lesson, each with its answer explained. Every answer feeds the sky: stars light as they are learned, and dim when it is time to come back.