Employee Attribute Comparison from a Fully Remote Company

Panel data from a company operating with an entirely remote workforce since its inception. The dataset was used in a study leveraging as-if random assignment of new hires to teams as a quasi-natural experiment. It was authored by Hideaki Ishura and last updated on March 17, 2026.

Use Cases

• Analyze the impact of team composition on individual productivity based on employee tenure and experience levels.
• Investigate peer effects in remote work environments based on team assignment data.
• Model the relationship between team communication and productivity outcomes mentioned in the study.
• Examine the productivity effects of working with highly experienced teammates.

Strengths

• Data originates from a company that has operated fully remotely since inception, providing a specific context.
• Study design leverages as-if random assignment of new hires, suggesting a structured approach to causal inference.
• File size is 5.5 KB, indicating a compact and likely manageable dataset.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and variable definitions require manual inspection after download.

Provenance

Source

figshare, author Hideaki Ishikura.

Collection Method

Panel data from a single company, with as-if random assignment of new hires to teams used as a quasi-natural experiment.

Time Range

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Freshness

Last updated 2026-03-17 17:25:38; freshness should be verified.

Geography

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