How to Quantify Your Achievements: A Practical Guide to Adding Metrics to Your CV & Performance Review
Jun 22, 2025
Learn How to Quantify Your Impact: Metrics for CVs & Reviews
You’re half-watching Netflix but your brain’s looping two ugly thoughts:
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“Performance review drops next week and I’ve got zero hard numbers.”
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“Time to polish the CV… but my impact column is a ghost town.”
Breathe. I’ve got you.
Here is a meme for morale and proof any job sounds sexier once you tack on numbers ↓
Why Metrics Matter
Recruiters and EMs skim for digits first. It just helps differentiate quickly.
No metrics → they assume no impact or your CV lands miles softer than the CV who lists “Cut costs 30 %”.
Good news: you can still surface or estimate numbers, even if dashboards are MIA.
(That’s the core idea. Read it twice.)
Let's dive right in
5-Step “Metric-Magic” Playbook
#1 - Mine the Exhaust: GitHub deploy counts, CloudWatch uptime, Jira story-points.
#2 - Derive Defensible Estimates: Time saved = (old hrs − new hrs)/old hrs × 100. Round, label, own the maths.
#3 - Scale Beats Silence: Quote volume: “Served 15 M API calls at 99.95 % uptime.”
#4 - No Numbers? Ask / Instrument: Ping product or spin up a log counter today.
#5 - Quality-Only Backup: Impact verbs, but sparingly.
Let's explore this with two examples:
EXAMPLE A — Product Manager (Prop-tech SaaS)
Scenario: You shipped “1-Tap Rent Pay” for a property-management portal. No fancy analytics in place.
Step |
What You Did |
Quick Maths |
---|---|---|
Exhaust |
Stripe dashboard shows weekly on-time rent payments. |
Before: 5,100 / week After: 6,900 / week |
Estimate |
Conversion lift. |
(6.9 k – 5.1 k) / 5.1 k ≈ +35 % |
Scale |
Size of audience. |
18 k tenants use portal monthly |
Cost Impact |
Admin time saved chasing late rent. |
1,800 fewer follow-ups × 8 min × A$35/hr ≈ A$8.4 k saved / month |
Fallback |
If Finance ignores labour rates. |
Stick to “+35 % on-time payments” |
Finished bullet : “Rolled out 1-Tap Rent Pay to 18 k tenants, lifted on-time payments 35 %, cutting admin costs ≈ A$8 k a month.”
EXAMPLE B — Software Engineer (Sydney Fintech)
Scenario: You optimised a serverless API by adding DynamoDB caching; no previous logs.
Step |
What You Did |
Quick Maths |
---|---|---|
Exhaust |
CloudWatch logs. |
p95 latency 650 ms → 140 ms |
Estimate |
Latency drop. |
(650 – 140) / 650 × 100 ≈ -78 % |
Scale |
Traffic volume. |
2.4 M API calls / month |
Cost Avoided |
Shorter Lambda run time. |
120 ms shaved × 2.4 M calls × A$0.0000000016 / ms ≈ A$1.2 k saved / month |
Fallback |
If cost calc too messy. |
Keep the latency % and traffic scale |
Finished bullet : “Optimised serverless caching—cut p95 latency 78 % (650 → 140 ms) for 2.4 M calls/mo, trimming AWS bill ≈ A$1.2 k and slashing alerts 4 → 1 per week.”
Don’t worry if you can't hit all five moves.
Nail just one metric, time saved, % uplift, dollars cut, and you’re already ahead of 90 % of CVs I see.
Your The Careersy Dispatch – Tip of the Week
→ Ask yourself for your bullet point or performance review: “If I had to prove this impact tomorrow, what single number, time-span, or scale point could I pull from logs, reports, or memory to back it up?”
It will provide instant clarity and credibility.
TL;DR
Hard numbers aren’t optional in this market.
Ask the Tip of the Week question, run Metric-Magic, and lock in impact before your review and CV.
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