What I Would Do Differently

April 29, 2026 · 2 min read
phd-application-guide

Looking back, I am grateful for how my application cycle turned out, but there are several things I would do differently if I were starting again.

Build a More Balanced School List

I would spend more time balancing the school list across selectivity levels, field fit, and geography. It is tempting to think in terms of reach, target, and safer programs, but PhD admissions are noisy enough that fit should matter at every level.

A balanced list should include programs where the research environment is genuinely relevant. I would avoid adding programs only because of general reputation if I could not clearly explain how they fit my interests.

Start the Faculty-Fit Spreadsheet Earlier

I would start the faculty-fit spreadsheet earlier and keep it cleaner. The point is not to publish a detailed faculty list, but to understand whether each program has enough advising depth in my areas of interest.

For each program, I would track broad fields, recent papers, seminar activity, placement patterns, and whether multiple people could potentially support my research direction.

Think About Recommendation Letters While Choosing Courses

Recommendation letters should not become an afterthought after courses end. I would think earlier about which courses, RA positions, writing projects, or seminars could give faculty enough information to write specific letters.

This does not mean choosing courses only for letters. It means recognizing that strong letters often come from sustained academic interaction, research work, and clear evidence of growth.

Prepare Course Descriptions and Application Blocks Earlier

Some applications require detailed course descriptions, prerequisite forms, or repeated text blocks about research interests, preparation, and field choices. These pieces can take more time than expected.

I would prepare reusable blocks earlier, then customize them carefully for each program. That would make the submission period less stressful and reduce the chance of avoidable mistakes.

Use AI Tools More Systematically

I would use AI tools more systematically for brainstorming, editing, organizing application requirements, and checking whether my materials were clear to a reader outside my immediate field.

At the same time, I would keep final judgment my own. AI can help with structure and clarity, but the application still needs to be accurate, personal, and grounded in real preparation.

Keep Better Process Notes

Finally, I would keep better process notes during the cycle: what I changed in each SOP, what each portal required, what questions came up in interviews, and what I learned from visits. Those notes would have made the final decision easier and would also make public reflections like this guide more useful for future applicants.

Chenzhe Zhang
Authors
PhD Student in Agricultural, Environmental, and Development Economics
I am a PhD student in Agricultural, Environmental, and Development Economics. My research interests lie in applied microeconomics, environmental and energy economics, policy evaluation, causal inference, and machine learning. I am particularly interested in original data construction and empirical work at the intersection of environmental risk, human behavior, and economic outcomes.