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Sample report — fictional data

What a finished report looks like

This is a fictional example, not a real candidate or a real customer's assessment — every name, score, and comment below is invented, and matches exactly what the real report generator produces from this same data.

Download the sample as a PDF — the same file a staff member would get for a real candidate.

Data Analyst Hiring — Technical Assessment

Jordan Example (fictional candidate)

Released
81out of 100 · Pass (passing score 60)
  • Objective questions18 / 20
  • Written question (reviewed)16 / 20
  • Practical exercise (rubric)47 / 60

Objective questions

2 multiple-choice questions, scored automatically at submission — no reviewer involved: 18 / 20 points.

Written question

“Describe your approach to reconciling two datasets that disagree.”

Score: 16 / 20 — Clear reasoning, minor gap on edge-case handling.

Practical exercise — Data Reconciliation Rubric

Each criterion carries a fixed point value, not a percentage weight — a criterion worth more points simply counts for more of the question's total. 2 reviewers scored this submission independently; nothing here is averaged between them.

CriterionMax pointsMaya ReviewerDaniel Reviewer
Data accuracy (mandatory)2522
Totals reconcile correctly; minor rounding note.
20
Correct totals, small formatting inconsistency in the summary tab.
Methodology2016
Reasonable approach; outlier handling not explained.
15
Same gap noted — outlier method unclear.
Presentation1513
Clear layout, easy to follow.
12
Well organized.

Recorded score: 47 / 60 points, reflecting Daniel Reviewer's most recently submitted review. Maya Reviewer's independent scores above are kept for comparison — a second review never overwrites or gets averaged with the first; whichever reviewer submits most recently becomes the recorded score.

Skill evidence

Scores grouped by the competency each manually-reviewed question was tagged with.

  • Written communication: 16 / 20 (80%)
  • Data analysis: 47 / 60 (78%)

Integrity summary

What the report states: “No significant integrity concerns detected.” Factual counts — Focus loss events: 1 · Screen-share interruptions: 0 · Webcam interruptions: 0 · Room scan: completed.

This is the report's own automated summary — a fixed sentence plus event counts, nothing narrative. Any interpretation of what an event means (for example, that one recorded focus-loss event lined up with downloading the practical exercise's reference file) happens separately, during human review, and is not itself printed in the generated document.

Recommendation and approvals

Reviewer recommendation: Shortlisted — by Maya Reviewer

Grading review: completed · Proctor review: completed

Results released: Maya Reviewer approved candidate-facing release.

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