A job-search workflow I’m testing: CV → keywords → matched job list
I’ve been testing a more structured way to search for jobs instead of just typing one job title into LinkedIn/Indeed and scrolling forever.
The workflow:
- Start with your redacted CV and 5–10 job descriptions you actually liked.
- Extract repeated keywords from both:
- tools/technologies
- industries
- role titles
- business functions
- seniority terms
- domain terms
- location/remote preferences
- Split keywords into groups:
- must-have
- nice-to-have
- avoid
- alternative titles
- Search using alternative titles, not just your current title. Example: “Data Analyst” might also map to “BI Analyst,” “Reporting Analyst,” “Product Analyst,” “Operations Analyst,” or “Analytics Consultant.”
- Score jobs based on overlap with:
- your CV
- your preferred job descriptions
- your preferred location/remote setup
- language/visa constraints, if relevant
- Review the top matches manually instead of trusting the score blindly.
- Keep a rejection/response log so your search terms improve over time.
The biggest improvement so far has been using alternative titles and industry-specific keywords. Many relevant jobs don’t use the exact title people search for.
Also, I’d avoid uploading a full CV with phone/address/birthday/photo into random tools. A redacted version is usually enough for keyword extraction.