Resume Bullets: When to Use Sub-Bullets
Sub-bullets can strengthen your resume or clutter it. Learn when to use bullet hierarchy and when single-level bullets work better.
Career insights, job search strategies, and professional development guides
Sub-bullets can strengthen your resume or clutter it. Learn when to use bullet hierarchy and when single-level bullets work better.
Your font choice affects how recruiters perceive your resume. Learn which fonts parse correctly, read well on screen, and look professional.
Your resume file name is the first thing recruiters see in their downloads folder. Learn the naming conventions that make your resume findable and professional.
ATS systems parse dates in specific ways. Use the wrong format and your 5 years of experience becomes unreadable. Here's the exact format that works.
Your resume header is prime real estate. Here's exactly what contact info to include—and what's wasting space or raising red flags.
Two-column resumes look modern, but they break ATS parsing. Here's when the risk is worth it—and when it's career suicide.
Exact formatting rules that ATS parsers follow. Section headers, bullet styles, date formats, fonts—what works and what breaks.
Stop believing the lies. ATS systems don't work the way most job seekers think. Here's what actually matters.
Legal and compliance professionals don't generate revenue—you prevent disaster. Here's how to prove your risk reduction impact with measurable metrics.
Prove QA impact with defect density, test coverage, and release velocity metrics. Turn bug prevention into measurable resume outcomes.
Real resume transformations showing exactly how to turn duty-based bullets into impact-driven achievements. Not just 'what changed'—but why it's stronger.
Stop listing 'managed recruiting.' Start proving talent impact with Time to Hire reduction, retention lift, and eNPS scores that show real HR value.
Stop listing 'managed inventory.' Start proving supply chain impact with inventory turn rate, lead time reduction, and fulfillment accuracy metrics.
Stop listing model accuracy. Start proving business impact with scale, revenue influence, and decision-quality metrics that show real data science value.
Stop listing features shipped. Start proving business outcomes with adoption, engagement, and revenue impact metrics that show real product management value.