Synthetic GlobalTech dataset — not a real company
The workforce data behind People Analytics AI
Numbers on this site are generated by a seeded business-event simulator that emits Frappe HR and Greenhouse Harvest v3 documents. They are not a customer’s employees.
GlobalTech is not a real company. Individual compensation, appraisals, EEOC, and survey items are not shown. Aggregates use cell-size suppression.
Active scenarios
- engineering_apac_attrition_rise — Case 3. Voluntary attrition hazard raised for APAC engineers with 0–3 years tenure from 2026-03-01. Correlated (not causal): APAC Eng 0–3y compa-ratio lag and clustered manager changes from 2025Q4.
- apac_hris_feed_incomplete — Case 2. One-day extract fault on 2026-08-14: APAC Employee rows_received = 35% of control_total. Not a workforce change.
- hiring_slowdown_hm_latency — Sales Onsite dwell ×1.6 and offer acceptance −8 points from 2026-05-01. Scorecard and interview latency concentrated on hiring managers 101–103. Case 4 is present in the dataset but has no demo page in this release.
SYNTHETIC_EXTENSION
E1–E7 plus E9 (rebalance_synthetic manager-change class). Compensation bands, grade rank, city geography, recruiter attributes, engagement instrument, separation-reason map, GlobalTech org names, and silver classification of month-end tree-repair manager changes.
External sources
O*NET 31.0 occupation/skill files, BLS public series (including JOLTS quits used to calibrate attrition), Microsoft Learn catalog. Scale of the synthetic HR/ATS world is ~80–90k worker spells over 5 years, ending 49,823 certified.
FRESHNESS
The dataset is frozen at data-v1 (as-of 2026-08-31).