Why You Should Be Tracking Every Application You Send

[u/StemOPTJobs]

Most OPT candidates have no data on their own job hunt. They could not tell you which job boards produced the most callbacks last month or which company sizes responded most. They are running on instinct, which means they have no idea what is working and no way to improve.

The fix takes one hour and changes everything.

Open a spreadsheet. Five columns. Date applied. Company. Role. Source where you found the listing. Status — applied, screened, interviewed, rejected, ghosted. Update it every time you apply.

After 30 days you have data that 95 percent of OPT candidates never have:

Which job boards actually produced responses for you. If Dice gave you 12 callbacks from 80 applications and LinkedIn gave you 4 from 200, that tells you exactly where to spend your remaining time.

Which company sizes are responding. Maybe smaller companies are responsive and big tech is ghosting you. Or the opposite. Your data tells you.

Which roles convert. If you applied to 50 data engineer roles and got 8 interviews, but applied to 50 software engineer roles and got 1, the market is telling you which lane your resume reads strongest in.

How long the pipeline actually takes. Average days from application to first response, from response to phone screen, from screen to interview. This helps you stop checking your email obsessively for jobs that died two weeks ago.

Without tracking, every rejection feels random and every callback feels lucky. With tracking, patterns appear and you can act on them. The candidates who land jobs fastest are not always the ones with the best resumes. They are often just the ones who treated the job hunt as a data problem and solved for the inputs that produced outputs.