Sample resume score · a real report, anonymised

79 / 100. A real GenioPrep resume score, with the name taken off.

This is an actual report from September 2026 for a data analyst with about eight years of experience, shared with the candidate's permission. Name, employers and contact details are removed; every number, diagnosis and recommendation is as the system produced it — including the parts that are blunt and the part where it rates its own confidence.

scored Sep 2026 · no job description
mode general readiness
confidence medium
79/ 100 · Resume Readiness Score
Good
Strong analytics background
Target roleData & Analytics / Data Analyst
Experience≈ 8 years (estimated from dates)
Skills found19 named · 15 with evidence in a role
Pages1 · 771 words · 45 bullets
Job descriptionnone — general readiness mode
Confidence: medium. Text was extracted successfully, but the resume uses dense formatting — a multi-column layout with a photo/header area — that may affect ATS parsing. Text extraction quality 80/100; visual analysis quality 72/100.
"This is an ATS readiness estimate, not a guarantee of selection." — the report's own footer

Six dimensions

weighted · tap to open
ATS parse readiness25%86Strong

3 of 3 core sections were detected.

Priority fixes
  • No priority fixes.
Layout safety15%83Strong

4 of 4 date ranges use the same format, across 4 headings.

Priority fixes
  • Style every section heading the same way — one case, one weight, one size.
Structure & readability15%100Strong

45 bullets averaging 15 words, 0 of them over 40, in a document of 771 words.

Priority fixes
  • No priority fixes.
Impact & quantification20%53Fair

13 of 39 experience bullets carry a number. The other 26 describe responsibilities rather than a result.

Priority fixes
  • Add a measurable result to the 26 bullets that carry no number — a percentage, a count, a currency figure or a time saved.
  • Open with the action on the 39 bullets that start with something else — the verb should be the first word.
Skills & role signal15%70Good

7 of 14 skills in the analyst taxonomy are named, 7 of them inside a role rather than only in a list.

Priority fixes
  • Name cohort analysis, dashboard, ETL and experimentation if you have used them — they are expected for analyst and absent here.
Completeness & professional basics10%93Strong

Of the sections a reader expects, 3 of 3 essentials and 2 of 3 supporting sections are present, and email and phone are both present.

Priority fixes
  • No priority fixes.

Layout risks the visual analysis found

From rendering the PDF, not the text. ATS layout score 70 · recruiter readability 75.
high severity

Multi-column layout

ATS systems may not parse text in the intended order, leading to misinterpretation of information.

Fix: Rewrite the resume in a single-column format for improved ATS parsing.
medium severity

Role icons and graphics

ATS may not interpret icons correctly, potentially leading to ignored or misread content.

Fix: Remove icons and use text-based descriptions.
medium severity

Small font size

Too-small fonts are difficult to read, affecting both ATS keyword detection and recruiter readability.

Fix: Increase the font size to a minimum of 10–12 points.
low severity

Photo inclusion

Photos are not parsed by ATS and may be discouraged in certain regions.

Fix: Consider removing the photo if applying where photo-free resumes are preferred.

What the report told the candidate to do

Quick wins

  • Add metrics to achievements in the Senior Analyst role for clarity.
  • Use active verbs to start all bullet points in the experience section.

Top fixes

  • Make bullet points follow a consistent grammatical structure.
  • Give specific examples of SQL depth — complex queries — to demonstrate expertise.
  • Reframe the less impactful bullets to show direct business outcomes.

Weak bullets, quoted

  • "Assisting US customer acquisition team in improving CTR and CR"
  • "Created 5 useful & replicable automation snippets"

No number, no outcome, and the first one starts with a gerund. Both are true and both are fixable with a count and a result.

Strengths, weaknesses, missing terms

  • Strengths: strong analytics background; quantified achievements where they exist.
  • Weakness: inconsistent bullet structure.
  • Expected term not found: BigQuery.
  • Interview readiness: "appears well-prepared with significant experience in data analytics."
"A 79 means a 79% chance of a callback."

It means: the file parses (86), the layout is mostly safe (83), the writing is readable (100), the basics are present (93) — and two thirds of the bullets describe duties rather than results (53), with half the analyst skill set unnamed (70). It is a fix list in weighted order. The candidate's two cheapest points are in Impact; the biggest risk is the two-column layout the visual analysis flagged as high severity.

Short answers

Is this a real report?

Yes — generated by GenioPrep in September 2026 on a real resume, reproduced with the candidate's permission. Only identifying details are removed; the numbers and the wording are the system's.

Why is the confidence 'medium'?

The resume uses a multi-column layout with a photo area. Text extraction still worked (80/100), but the visual analysis rated the layout a parsing risk, so the report says so rather than pretending certainty.

Why is there no job-description match?

None was pasted, so the score ran in general-readiness mode. With a posting, the Skills dimension becomes a match against that role and the report adds a requirement-by-requirement table.

How long did it take?

About a minute from upload to report. Re-scoring after edits takes the same, and the counts are deterministic, so improvements show as numbers.

Will my report look like this?

Same structure — six weighted dimensions, layout risks, quick wins, top fixes, weak bullets quoted — with your numbers. Freshers get the same dimensions weighted the same way.

Does 79 mean the resume is good?

It means the mechanical dimensions are strong and the content has a specific, fixable weakness: 26 bullets without a result. The label is 'Good'; the fix list is the useful part.

Next

Shared with the candidate's permission; name, employers, contact details and any identifying project names removed. All scores, diagnoses and recommendations are reproduced as generated. A score is a readiness estimate, not a guarantee of selection.