Employee Performance and Productivity

October 2024 Hr Difficulty 2/5 XLSX 9.7 MB 100,000 rows × 20 cols 0 downloads
  • hr
  • performance
  • productivity
  • retention
  • demographics

100,000 employee records with department, tenure, performance score, salary, overtime, sick days, training hours, promotions, satisfaction, and resignation flag. Rich for attrition-risk modelling and promotion-path analysis.

Challenge brief


slug: 2024-10-employee-performance-and-productivity title: Employee Performance and Productivity year: 2024 month: 10 source: authored authored_at: 2026-04-19 needs_leon_review: true

Employee Performance and Productivity - Challenge Brief

Challenge period: October 2024 Dataset: Reconstructed brief based on the shipped data file for the October 2024 DataDNA challenge.

About the data

The primary data table for this challenge carries the following columns:

  • Employee_ID
  • Department
  • Gender
  • Age
  • Job_Title
  • Hire_Date
  • Years_At_Company
  • Education_Level
  • Performance_Score
  • Monthly_Salary
  • Work_Hours_Per_Week
  • Projects_Handled
  • Overtime_Hours
  • Sick_Days
  • Remote_Work_Frequency
  • Team_Size
  • Training_Hours
  • Promotions
  • Employee_Satisfaction_Score
  • Resigned

Suggested analytical angles

  • Which departments show the strongest tenure-to-promotion link?
  • How do training hours relate to performance score?
  • Which variables correlate most with resignation risk?
  • How do remote-work frequency and team size affect satisfaction?

What great submissions did

This brief was reconstructed from the dataset contents in 2026 as part of the Playground audit. The original October 2024 challenge brief was not preserved as a separate file in the source archive, so the analytical angles above are inferred from the column list. See the corresponding /challenges/ entry on datadna.onyxdata.co.uk for examples of how participants approached the data.

Editorial note

_This stub was authored by Claude on 2026-04-19 for Leon's review. Refine the suggested angles and confirm factual accuracy before setting brief_status = leon_reviewed in the audit log._

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