You have six seconds. That's the median time a recruiter spends reading the resume that survived the ATS screen. And in those six seconds, they aren't reading your headers, your summary, or your skills list. They're reading the bullets — the six to ten sentences under each role that describe what you actually did.
Most job seekers write those bullets like job descriptions: Responsible for managing cross-functional projects. They're vague, scannable, and easy to skip. Strong bullets are the opposite: they hand the recruiter a concrete result in under twenty-five words, in a sentence that reads like work — not a list of duties.
The good news: bullet writing is mechanical. There's a formula, a small vocabulary of high-signal action verbs, a handful of obvious quantification tricks, and one ATS trick that nobody talks about. Once you've seen it, you can rewrite every bullet on your resume in an hour.
1. What makes a resume bullet land
A bullet that survives both a six-second human scan and a keyword-matching ATS has three parts — the action, the context, and the result. Strip any of them and the bullet degrades into something a recruiter will skip.
The action verb opens
The first one or two words of every bullet should be the strongest action verb you can justify. Built, led, shipped, cut, grew, closed, automated — not helped with, responsible for, worked on, assisted. Passive openers signal that you didn't actually do the work; the recruiter moves on.
The context names the scope
After the verb, name what the work touched: the product, the team, the customer segment, the technology, the tool. Without context, "shipped a migration" is invisible. With context, "shipped the Postgres-to-Cockroach migration for the billing service" is something a recruiter can place.
The result lands on a number
The last clause is where most bullets silently fail. Helped improve system performance. Help how? By how much? For whom? Numbers — revenue, latency, headcount, error rate, percentage — are what separate a bullet a recruiter believes from a bullet they assume is fluff.
A resume bullet isn't a record of what you did — it's a 25-word argument that you can do it again. Recruiters aren't reading for completeness; they're reading for evidence.
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2. Weak vs strong bullets — side by side
The same resume, rewritten one column at a time, lands a different way. Here are five rewrites across the roles most job seekers write for. The left column is what shows up on most resumes; the right column is what survives the six-second scan.
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1Sales. Responsible for selling SaaS products to enterprise customers. → Closed 47 mid-market deals worth $1.2M in net-new ARR in Q3, selling data-platform SaaS against incumbent Apache Kafka deployments.
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2Operations. Helped onboard new hires into the team. → Cut new-hire ramp time from 14 to 6 days by rebuilding the onboarding plan in Notion and partnering with People Ops on a structured 30/60/90.
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3Engineering. Worked on the backend payments service. → Rebuilt the payments microservice in Go, dropping p99 latency from 820ms to 110ms across 3.4M monthly calls and removing a long-standing on-call page.
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4Marketing. Managed the company's social media accounts. → Grew organic LinkedIn followers from 12k to 38k in 8 months by shipping a 2×/week long-form cadence and 4×/week founder-led newsletter distribution.
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5Customer Success. Handled customer issues and renewals. → Owned a portfolio of 38 enterprise accounts worth $6.4M ARR; hit 96% NRR in FY26 by leading quarterly executive business reviews and a structured save-play playbook.
Each rewrite is roughly the same character count — that's on purpose. A bullet doesn't earn more space by being longer. It earns space by being specific, and the specificity fits in a single line.
3. The action verbs that do the heavy lifting
Pick one verb per bullet, and make sure it's the strongest verb your work justifies. The right verb often unlocks the rest of the sentence: once you've written shipped, the next word tends to be a noun, and the bullet writes itself.
Building and shipping
Built, launched, shipped, designed, drafted, founded, introduced, stood up. Use these when you produced something new — a product, a process, a function, a team. These verbs sound like ownership.
Improving and reducing
Cut, reduced, accelerated, automated, streamlined, simplified, eliminated. Use these when your work made something faster, cheaper, or less painful. Every improvement verb wants a number — a percentage, a baseline, a before/after.
Leading and owning
Led, managed, owned, directed, coached, mentored, hired. Use these when the work was about people, not code. Pair them with a team size or a function: led a team of 6, owned the post-sales function.
Winning and closing
Closed, landed, grew, hit, exceeded, won, retained. Use these for revenue, retention, or any metric with a number that buys more of itself. Pair them with a dollar amount or a percentage: grew MRR 38% QoQ.
Analyzing and surfacing
Analyzed, identified, surfaced, mapped, audited, diagnosed, modeled. Use these when the work was finding the answer, not acting on it. Pair them with the question your work answered: diagnosed the cause of the 8% checkout drop-off by modeling funnel data in SQL.
4. Quantification — what to measure, and how to fake-realistic numbers
A bullet with a number in it is roughly 40% more likely to be remembered than a bullet without one, in recruiter eye-tracking studies. The number is doing the work. The good news: most numbers are recoverable from memory — or recoverable by estimation, as long as you label the estimate honestly.
The numbers worth reaching for
Revenue (dollars, ARR, MRR, ACV), time (days saved, time to value, cycle time), scale (users, requests, headcount, accounts), quality (error rate, latency, NPS, retention, defect count), or directly: a percentage change. Pick the unit you're most sure of. If you only remember the count, use it: processed 2,400 claims per month.
Estimating without lying
You won't always remember the exact number. The honest move is to scope your claim: roughly $1.2M in pipeline, about a 30% reduction in cycle time, led the Americas segment, ~40% of total revenue. A range is more credible than a false-precision single number, and a scope ("my segment") is more credible than a total you weren't on the hook for.
What to avoid
Don't fabricate a number you can be asked about on a phone screen. Don't round a defensible number up to look bigger. And don't fake metrics on a reference check — recruiters call former managers, and the manager will spot a number that doesn't match their memory.
5. ATS keyword alignment — the trick bullets do that skills sections don't
Most candidates think ATS keyword match is fixed by adding a Skills section. It's not. A Skills section lists keywords in isolation — Python, SQL, A/B testing — which ATS reads as low-effort keyword stuffing and which the human reviewer reads as filler.
Bullets do the keyword work and do it in a sentence the human reader believes. A bullet that reads ran 14 A/B tests in Python against a 1.2M-user traffic split carries the keywords Python and A/B testing in a sentence that also demos the work. The ATS scores the same match; the human reader scores it higher.
How to read the JD
Take the job description and underline every verb and skill that appears twice or more — those are the high-frequency keywords. Shipped, led, managed, automated, python, sql, kubernetes. Pick the six to eight most repeated. Weave them into your existing bullets, replacing weaker synonyms you originally chose. If your bullet said delivered programs and the JD says managed projects, swap.
The pattern, in three steps
Open with a strong action verb from the JD's high-frequency list. Name the context using the JD's exact phrasing for the technology, the team, or the function. Close on a number — ideally one expressed in the units the JD repeats (dollars, percentage, time saved). One rewritten bullet, that template, repeated six times per role, is the heart of a job-tailored resume.
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6. How Covly rewrites your bullets
Covly is built around the bullet-writing failure mode above and solves it in three steps, applied at the line level — not the resume level.
Step 1 — Paste the job description and your resume
Drop the JD and your current resume into Covly. It parses out the must-have skills, the high-frequency verbs, and the unit-of-measure the role uses — dollars, percentage, latency, headcount.
Step 2 — Match the JD's verbs and metrics against your bullets
Covly compares your existing bullets to the JD's keyword set and returns three lists per bullet: strong verbs to keep, weak openers to replace, and missing JD keywords that fit your background. The output is a per-bullet rewrite brief, not a generic template.
Step 3 — Rewrite the bullets, one at a time
Covly drafts a rewritten version of each bullet: action verb from the JD, context using the JD's exact phrasing, result expressed in the unit the role uses. You review the diff for each bullet, accept what sounds like you, and ship a resume where every line earns its place.
You stay in control of the voice. Covly doesn't manufacture experience — it routes the experience you have into the strongest sentence the bullet can carry.
What Covly doesn't do
Covly won't fabricate metrics, inflate numbers, or invent tools you didn't use. The rewritten bullet has to survive both a phone screen and an ATS screen — a number that survives the ATS but breaks on a reference check is worse than no number at all.
The bottom line
Resume bullets are doing two jobs at once — surviving the ATS keyword scan and surviving the human six-second scan. They have to be written for both, using the same template: action verb, context in the JD's language, result in the JD's units. Pick a strong verb from the JD, name the scope, land on the number. The bullet earns its place in six seconds.