Resumes That Actually Work
Build resumes that pass ATS screening and grab human attention. Learn the difference between optimized and over-optimized.
The Two Audiences for Your Resume
Your resume has to impress two very different readers:
The Robot (ATS): Applicant Tracking Systems scan for keywords, formatting, and basic qualifications. Fail this check and no human ever sees your resume.
The Human (Recruiter): Has maybe 10 seconds to decide if you’re worth a closer look. They scan, not read. Your resume needs to grab attention fast.
Most resumes fail one or both. Let’s fix that.
Understanding ATS
Applicant Tracking Systems aren’t trying to reject you. They’re trying to help recruiters filter hundreds of applications.
What ATS looks for:
- Keywords matching the job description
- Standard section headers it can parse
- Clean formatting (no tables, text boxes, or graphics in the content area)
- Relevant experience and qualifications
Common ATS fails:
- Creative headers like “My Journey” instead of “Experience”
- Important info buried in graphics or tables
- Missing keywords the job requires
- File format issues (use PDF or .docx)
The ATS Optimization Workflow
Here’s how to use AI to optimize for ATS:
Step 1: Extract job requirements
AI: "Analyze this job description and identify:
1. Required skills (must-have)
2. Preferred skills (nice-to-have)
3. Key responsibilities
4. Any specific keywords or tools mentioned
[Paste job description]"
Step 2: Compare to your resume
AI: "Compare my resume to these job requirements.
Which requirements do I match?
Which keywords am I missing?
What gaps should I address?
Job requirements:
[From Step 1]
My resume:
[Paste resume]"
Step 3: Optimize your resume
AI: "Help me incorporate these missing keywords naturally
into my resume without lying or over-stuffing:
Missing elements: [List them]
Current resume: [Paste it]
Suggest specific edits that add these elements authentically."
The key word is “naturally.” Stuffing keywords looks desperate and often backfires.
Writing Bullet Points That Work
Weak bullet points describe tasks:
- Responsible for managing customer accounts
- Handled social media marketing
- Worked on cross-functional projects
Strong bullet points show impact:
- Grew customer retention 23% by implementing proactive outreach program for at-risk accounts
- Increased social engagement 45% and generated 120 qualified leads through data-driven content strategy
- Led 5-person cross-functional team to deliver product launch 2 weeks ahead of schedule
The STAR Formula for Bullets
Structure bullet points using STAR compressed into one line:
Situation/Task → Action → Result
AI: "Rewrite this bullet point using the STAR format.
Show the situation briefly, what I did specifically,
and quantify the result.
Original: Managed customer support team
Context: I led a 4-person team, reduced response times,
improved satisfaction scores"
Result: "Led 4-person customer support team, implementing
new triage system that reduced average response time from
24 hours to 4 hours and improved CSAT scores from 3.2 to 4.5"
Quantify Everything Possible
Numbers grab attention. Whenever possible, add specifics:
| Vague | Specific |
|---|---|
| Increased sales | Increased sales 32% ($450K) |
| Managed large team | Managed 12-person team |
| Reduced costs | Cut operational costs $120K annually |
| Improved efficiency | Reduced processing time from 3 days to 4 hours |
| Handled many accounts | Managed portfolio of 85 enterprise accounts |
Quick check: Before moving on, can you recall the key concept we just covered? Try to explain it in your own words before continuing.
If you don’t know exact numbers, estimate reasonably:
AI: "I know I improved something but don't have exact numbers.
Help me estimate reasonable metrics I can use.
Situation: I improved our customer onboarding process.
We had about 50 new customers per month.
Before my changes, onboarding took about 2 weeks and
many customers complained. After, it was smoother and faster.
What reasonable metrics could I include?"
Resume Structure That Works
Standard order (reverse chronological):
HEADER
Name, contact info, LinkedIn URL
SUMMARY (optional, 2-3 lines max)
Only if you have 5+ years experience or are changing careers
EXPERIENCE
Most recent job first
3-5 bullets per role
More bullets for recent/relevant roles
EDUCATION
Degrees, relevant certifications
Recent grads: include GPA if above 3.5, relevant coursework
SKILLS
Technical skills, tools, languages
Match to job requirements
For career changers or gaps: Consider a functional or hybrid format that leads with relevant skills and projects.
Tailoring vs. Lying
There’s a line between optimization and dishonesty.
OK to do:
- Emphasize different experiences for different roles
- Adjust bullet points to highlight relevant skills
- Use the job description’s terminology (if accurate)
- Reorder skills to put most relevant first
Not OK:
- Claiming skills you don’t have
- Inventing experience or accomplishments
- Inflating numbers significantly
- Listing tools you’ve never actually used
AI: "I want to apply for this role but I'm missing
[specific skill]. I have some adjacent experience with
[related thing]. How can I honestly present this
without claiming expertise I don't have?"
The AI Resume Workflow
For each application:
Extract requirements (1 min) AI analyzes job description
Compare and identify gaps (2 min) AI compares your base resume to requirements
Suggest optimizations (3 min) AI proposes specific, honest edits
Review and finalize (5 min) You check that it still sounds like you
Total: ~10 minutes per tailored resume (vs. 45+ doing it manually)
Exercise: Optimize One Bullet Point
Take a bullet point from your current resume.
- Does it show results or just tasks?
- Are there numbers? If not, can you add some?
- Does it start with a strong action verb?
- Would this grab attention in a 6-second scan?
Rewrite it using the STAR format and specific metrics.
Key Takeaways
- Resumes must pass ATS (robot) AND impress humans (recruiter)
- ATS optimization means keywords + clean formatting
- Strong bullets show results, not tasks: Situation → Action → Result
- Quantify everything—numbers grab attention
- Tailor for each job, but never lie or over-stuff keywords
- AI can cut resume tailoring from 45 minutes to 10 minutes
Next: Tailoring applications fast—resumes plus cover letters.
Up next: In the next lesson, we’ll dive into Tailoring Applications Fast.
Knowledge Check
Complete the quiz above first
Lesson completed!