Lincoln Laylor 分享如何度身調整每份求職申請,在一個月內由 0 次面試增至 4 次
How I went from 0 interviews to 4 in a month by tailoring every application
Lincoln Laylor 分享,他為每份求職申請度身調整履歷和求職信後,一個月內獲得 4 次面試;此前 3 個月投出 300 份申請,仍未獲面試。做法是從招聘資訊找出 4 至 6 項必要條件,將自己確實具備的技能放入履歷摘要、技能清單及工作事例,並避免加入未具備的技能;文中亦附有可複用提示詞。
For 3 months I applied to jobs and didn't get a single interview. 300 applications, all Software Developer roles, and the replies were rejections or nothing.
I was sending the same resume to every posting. I knew that was the problem in theory. Everyone says to tailor your resume to each job. Nobody tells you how to do that 300 times without it becoming a full-time job.
Tailoring with ChatGPT
So I started tailoring with ChatGPT. For each application I'd:
- copy the job posting into a chat
- upload or paste my resume
- ask it to rewrite my resume for the role
- ask again for a cover letter
- fix whatever it got wrong, copy it into a doc, reformat it and export a PDF
It worked better than the generic resume, but it took 12 minutes per application. The free plan limits how many files you can upload, so I kept hitting the cap partway through a day of applying. Every new chat meant explaining my background again. And it would sometimes add skills I don't have, because the posting asked for them, so I had to read every line before sending.
The tools that do this cost too much
I looked at the tools built for this. Jobscan is $49.95 a month and Teal+ is $29 a month. That's a lot to pay when you don't have a job, and most of them are resume builders with templates, when all I needed was my own resume rewritten for each posting.
So I built one
I'm a developer, so I built the tool I wanted. Cover Me is a Chrome extension. You open a job posting on LinkedIn, Indeed, Greenhouse, Lever, Workday or Ashby, click once, and it tailors your resume and writes a cover letter for that posting. It shows which of the posting's keywords your resume covers and which it's missing, and it removes any skill your original resume doesn't support. You can edit both and export them as PDFs.
I made it cheap on purpose. It's free with your own OpenAI or Claude API key, and the hosted plan is $15 a month. It's also open source, because I'd want to read the code before giving a tool my resume.
The month after
In the month after I started using it, I got 4 interviews. Before that I couldn't get one.
The one thing I changed was that every application got its own tailored resume and cover letter. Even while applying to less jobs, my response rate increased. I can't prove tailoring alone did it. But going from zero to four after one change is hard to ignore.
What tailoring means, with or without a tool
You don't need Cover Me to do this. Huntr looked at over 1.39 million applications and found tailored resumes reached the interview stage 2.1 times as often (5.75% against 2.68%). Here's what tailoring meant for me, and you can do all of it by hand.
Find the 4 to 6 must-haves in the posting. These are the skills and qualifications the posting repeats, lists under "requirements", or puts first. Ignore the long tail of nice-to-haves at first.
Put each must-have you really have in three places. Your summary, your skills list, and at least one bullet that shows you using it. Applicant tracking systems and recruiters both look for the posting's words, so use them. If the posting says "stakeholder management" and your resume says "worked with other teams", rewrite it in their words.
Never add something you don't have. This is the one AI tools get wrong most often. If the posting wants a certification you don't hold, leave it out. It will come up in the interview or the background check, and that's worse than not getting the call.
Make the cover letter about their posting. Name two or three of their requirements and point to where your resume shows each one. Leave out "I am writing to express my interest". Start with what you've done that they asked for.
Do it every single time. A tailored resume for your top three applications doesn't help much. The difference came from doing it for every one, which is why the time per application matters so much.
If you want to do it in ChatGPT
This prompt does most of the work. Paste your resume and the posting into the same message:
Here is my resume and a job posting.
1. List the 4 to 6 must-have requirements from the posting.
2. Rewrite my resume so each must-have I actually have appears in the summary,
the skills list and at least one bullet, using the posting's wording.
3. Do not add any skill, tool, certification or result that is not in my resume.
If a must-have is missing from my resume, list it separately as a gap.
4. Keep every job, date and title exactly as they are.
RESUME:
[paste resume]
JOB POSTING:
[paste posting]
Then read every line before you send it. The model will still slip in a requirement now and then.
Try it
Cover Me is at cover-me.dev, and the code is at github.com/TheLinc/cover-me. If you're job hunting right now, I hope you get your four.
來源:DEV Community · dev.to
