B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Current

30%

30% -- employee turnover reduction for hourly shift workers (2026)

2026  · The Shift Project, University of Chicago

Schedule predictability reduces employee turnover by up to 30%.

  • Stated as 'up to 30%'
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Attribution: The Shift Project, University of Chicago View source
Lighthouse Research Team
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Source verified Evidence graded
Value
30%
Unit
Percentage
Data Vintage
2026
Entity
hourly shift workers
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

61/100 confidence

Single source - not yet corroborated

Extraction
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
The Shift Project, University of Chicago Primary Tier C
https://novagems.com/employee-scheduling-tips-15-rules/ ↗
Confidence: 48/100 Vintage: 2026 Channel: Deep Crawl
Source Article
Employee Scheduling Tips: 15 Rules Every Manager Should Follow in 2026
Employee scheduling is the process of assigning workers to shifts based on business demand, employee availability, labor laws, and skills or certifications. The 15 most effective scheduling rules are: publish one week ahead, use templates, track hours during scheduling, require shift confirmations, …
Original Research
The Shift Project, University of Chicago · Original study ↗

Vendor blog citing University of Chicago Shift Project research

Methodology documented
Industrymarketing
Plain Text
hourly shift workers: 30% employee turnover reduction. Source: The Shift Project, University of Chicago (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/schedule-predictability-turnover-shift-project
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<blockquote cite="https://lighthousedata.io/data/schedule-predictability-turnover-shift-project" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>30%</strong> -- employee turnover reduction for hourly shift workers<br><small>Source: The Shift Project, University of Chicago (2026) · <a href="https://lighthousedata.io/data/schedule-predictability-turnover-shift-project" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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