JuicedResume's scoring rubric is published. This guide walks every check, grouped by the seven dimensions, with the weighting and the underlying rule.
Impact captures whether your bullets actually report results. Every bullet should answer "what changed because of you?" and quantify the change where possible.
D1.1 — Bullets lead with an action verb. Every bullet starts with a verb (Built, Shipped, Owned, Drove). Auxiliary openings (Responsible for, Helped with) are flagged.
D1.2 — Quantified bullets. At least 60% of bullets contain a number, percentage, currency amount, or named outcome.
D1.3 — Outcome before method. The bullet states what changed first, then how. "Shipped checkout v2, cutting payment failures 30%" beats "Used React and Stripe to ship checkout v2".
D1.4 — No passive voice. "Was responsible for" is passive. "Owned" is active. Passive bullets are penalised.
D1.5 — No generic verbs. "Helped", "assisted", "worked on", "contributed to" weaken the bullet. The check flags them but doesn't hard-fail.
A recruiter spends 6–11 seconds on first-pass screening. Brevity decides whether your bullets survive that.
D2.1 — Bullets under 25 words. Long bullets read as a wall.
D2.2 — No bullet over 30 words. Hard cap.
D2.3 — Page count. One page under 10 years of experience; two pages max otherwise.
D2.4 — No trailing summary block over 4 lines. A 6-line objective at the top displaces real content.
D2.5 — Tight section headers. Multi-word section names that say the same thing as a single word ("Where I've Worked" → "Experience").
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D3.1 — Consistent tense within each role. Current role = present tense; past roles = past tense.
D3.2 — No first-person pronouns. "I built X" is rare on resumes; flag if found.
D3.3 — No clichés. "Hard worker", "team player", "self-starter" are flagged.
D3.4 — Date format consistency. Mixing "Jan 2024" and "01/2024" is flagged.
D3.5 — Capitalisation consistency in bullets. Sentence case throughout.
D3.6 — No spelling typos against a 100k-word lexicon plus brand/tool names.
This is the dimension that overlaps with the JD-match score.
D4.1 — Skills section present and populated.
D4.2 — Hard-skill / soft-skill split. Skills section should be hard skills only (Python, AWS, SQL). Soft skills (leadership, communication) belong in bullets.
D4.3 — Comma-separated, no proficiency qualifiers. "Python · SQL · AWS" beats "Python (expert), SQL (intermediate)" — most ATS skill parsers strip qualifiers anyway.
D4.4 — JD match. When a JD is pasted, the rubric scores % of JD-mentioned skills present.
D4.5 — Skill grouping (categories) when 10+ skills listed.
The dimension that decides whether the resume gets parsed correctly.
D5.1 — Standard section names (Experience, Education, Skills, Projects, Summary).
D5.2 — Single-column layout. Two-column resumes break a meaningful fraction of ATS parses.
D5.3 — Selectable text. Image-only PDFs are a hard fail.
D5.4 — Standard fonts. Web-safe fonts and the standard LaTeX stack.
D5.5 — LinkedIn URL present and canonical. linkedin.com/in/<your-handle>, not the long auto-generated profile URL.
D5.6 — Contact information machine-readable. Email + phone parsed cleanly.
The shape of the document.
D6.1 — All canonical sections present (Experience, Education, Skills) at minimum.
D6.2 — Section order matches conventions for your level (Education first for new grads; Experience first for everyone else).
D6.3 — No empty section headings.
D6.4 — Consistent item structure within a section (every Experience role has Company, Title, Dates, Location).
The smallest dimension, but it catches the obvious omissions.
D7.1 — Summary section appropriate for level (recommended for 5+ YoE).
D7.2 — Projects section present for engineers / new grads.
D7.3 — Languages section relevant to the target geography.
D7.4 — Certificates section if applicable.
D7.5 — No deprecated sections (References available on request, Objective).
Run your resume through the scorer to see exactly which checks pass and which need work. The free tier shows every flag — no sign-up to see your number.
