Job Ad to Shortlist in ~20 Minutes
Ship a tailored CV + LinkedIn in ~20 minutes. Map the JD, quantify wins, mirror keywords, and answer apps with STAR. No bloat. Numbers first, polish later.
IT Manager (ANZ)
Cut operational costs 25% while improving team output 40%; 4 interviews in 2 weeks.
Marketing Director (UK)
Shipped 5 major campaigns in a quarter; secured 30% budget increase for next year.
Engineering Director (EU)
Scaled team from 15→45 while maintaining 99.5% uptime; ATS match 95%.
Must-haves, keywords, outcomes
Numbers and wins from your CV
Mirror the JD across CV and profile
STAR replies
See a quick example
JD Map example (first 2 rows)
Bullet before → after
Before: Managed a team and budget for IT operations.
After: Led 25-person IT team to reduce operational costs by 25% while improving system uptime to 99.5% through strategic vendor negotiations and process automation.
JD to Requirements map ⓘ This creates your targeting system – every line you write should prove one item from this map
Common mistakes to avoid
- Don’t skip nice-to-haves – they’re tie-breakers
- Capture exact keyword phrasing from the job ad
- Focus on outcomes (what they measure) not just duties
Evidence pack builder ⓘ ATS sees keywords but humans believe numbers. Quantified wins make your experience tangible.
What numbers count?
- Before → after percentages, time saved, cost reduced.
- Scope: users, endpoints, budgets, regions, SLAs.
- Quality: CSAT, uptime, compliance, defect rate.
- Scale: team size, budget managed, projects delivered.
How to estimate numbers responsibly
- Time saved: “Saved ~3 hours weekly by automating X”
- Scale: “Managed ~15 projects annually worth ~$2M”
- Improvement: “Improved process efficiency by ~25%”
- Use ranges: “Reduced costs 15-20%” when exact is unknown
Rewrite bullets to the JD ⓘ This formula ensures every bullet has impact and matches what the ATS is looking for
Bullet formula breakdown
Verb (Led) + what (25-person IT team) + how (through strategic vendor negotiations) + tool (process automation) + metric (25% cost reduction) + outcome (99.5% uptime)
Strong verbs: Accelerated, Automated, Boosted, Consolidated, Cut, Decreased, Enhanced, Expanded, Improved, Increased, Led, Optimized, Reduced, Scaled, Streamlined, Transformed
Professional writing rubric
- Every bullet has a verb, tool, number, outcome.
- Max 28 words per bullet. No run-ons.
- JD must-haves appear once each, naturally.
- Numbers have baseline → result or scale.
- Jargon only if in JD. No generic fluff words.
Professional summary and skills strip ⓘ This is your 10-second pitch – make it count with specific numbers and JD alignment
Example summary
IT Manager with 10+ years leading high-performing technology teams across infrastructure, security, and operations. Reduced operational costs by 25% while improving system uptime to 99.5% and increasing team retention from 65% to 88%. Seeking to leverage leadership expertise to drive operational excellence and strategic technology alignment at [Company].
Skills: Team Leadership | Budget Management | Strategic Planning | Vendor Management | ITIL | Project Management | Infrastructure | Security | Operational Excellence | Stakeholder Engagement | Process Improvement | Digital Transformation
LinkedIn headline and About ⓘ Recruiters search LinkedIn by keywords – make sure you appear in their searches
LinkedIn examples
Headline: IT Manager | Infrastructure & Operations | Reduced Costs 25% + Improved Uptime 99.5% | Team Leadership, ITIL
About opening: IT Manager specializing in leading high-performing technology teams to deliver operational excellence and strategic business alignment. Reduced operational costs by 25% while improving system uptime to 99.5% through strategic vendor negotiations and process automation…
Application answers — STAR tight ⓘ Starting with the result grabs attention immediately – most people bury their achievements
STAR example
Question: Tell us about a time you improved operational efficiency
Answer: [Result] Reduced operational costs by 25% while improving system uptime to 99.5% across our technology infrastructure. [Situation] Our IT operations faced budget pressures and inconsistent performance affecting business continuity. [Task] I was tasked with reducing costs by 20% while maintaining or improving service levels within 12 months. [Action] I conducted a comprehensive vendor assessment, renegotiated contracts, implemented automation for routine tasks, and established clear performance metrics with the operations team.
How recruiters skim (use this)
- First 10 seconds: summary + skills strip + 2 biggest numbers.
- Role alignment: must-haves present? outcomes obvious?
- Risk scan: job hopping, unexplained gaps, buzzwords without proof.
Polish pass (after you’ve sent a few apps)
Do this later, not today. When you’ve shipped a few applications, run a polish pass once to tighten everything.
Why this flow works
- Targeting: JD Map prevents off-target bullets.
- Proof: Numbers + tools turn duties into outcomes.
- Findability: Mirrored keywords boost ATS parsing.
- Speed: Tight constraints kill perfection paralysis.
Manual polish checklist (no scripts)
- Tense and duplicates: current role = present tense, older roles = past. Remove repeated phrases.
- Numbers: most bullets should have a metric or scale (%, time, count, budget, endpoints).
- Tech stack: every buzzword appears once where true (Intune, Azure AD, PowerShell, etc.).
- Keywords: must-have items from the JD show up naturally at least once.
- File name: First_Last_TargetRole_YYYY.pdf
Glossary
ATS: Applicant Tracking System; parses keywords, titles, dates.
STAR: Situation, Task, Action, Result; use 120–150 words here.
JD Map: Your targeting table; must-haves, keywords, outcomes.
Changelog
- 2025-10-24: Role packs, keyword checklist, red-flag scan.
- 2025-10-10: PWA offline; CSV exports hardened.