Koya Talent — Operations Register
Last 90 days
Jun 7, 2026 – Sep 4, 2026
People Ops
Active headcount35
New hires9
Exits1
Attrition rate2.9%
Time to hire35.0 days
Offer acceptance time24.0 days
Headcount by department
Engineering8
Delivery7
People Ops7
Customer Success7
Sales6
Sales
Revenue won$24,750
Pipeline value$40,040
Total leads7
Win rate66.7%
Cost per lead$2,800
Marketing spend$19,600
Revenue by lead source
Partner13350
Inbound11400
Project Delivery
Active projects0
Completed0
Overdue0
Over budget0
Budget variance$0
On-time completion ratenot available — no completion date in source data
The organization shows strong hiring momentum (9 new hires, 35 active headcount) with healthy attrition at 2.9%, but faces critical visibility gaps. Sales performance is solid with 66.7% win rate and $24.75K revenue, though lead volume is extremely low (7 total). Project delivery metrics are completely absent from this period, indicating either no active delivery work or severe data collection failures. Data quality issues across all functions require immediate remediation.
Operational risks
- Project delivery has zero visibility - no active projects, started projects, or completed projects reported; impossible to assess delivery capacity or customer satisfaction
- Sales pipeline is extremely thin with only 7 leads and 2 closed deals in 90 days; unsustainable for growth at current burn rate
- Cost per lead ($2,800) is exceptionally high relative to average deal value ($12,375); unit economics appear challenged
- Data quality failures present across all three functions prevent accurate KPI assessment and decision-making
- Offers accepted (7) exceeds applications (4) by 75%, indicating potential data integrity issues in recruitment tracking
Recommended actions
- Immediately investigate project delivery data collection - confirm whether zero projects is operational reality or reporting failure; establish daily project tracking if missing
- Launch sales pipeline development initiative to increase lead volume; current 7 leads insufficient to sustain operations and growth targets
- Conduct data audit on recruitment metrics to reconcile applications vs. offers accepted discrepancy
- Implement data validation rules to prevent missing/unparseable records; establish data steward responsibilities by function
- Analyze sales channel performance and cost per lead by source to optimize marketing spend allocation away from expensive inbound channels
- Review 24-day offer acceptance time and 35-day time-to-hire against industry benchmarks; consider process optimization
Data quality warnings
- People Ops: 1 record missing status field
- Sales: 4 data quality issues across 4 records (1 status missing, 1 deal_amount missing, 1 unparseable date, 1 lead_source missing) - affects 57% of closed deals dataset
- Project Delivery: 2 records with missing critical fields (actual_cost, due_date) - insufficient data to calculate any delivery metrics
- Overall data quality score is severely compromised; recommend halting strategic decisions based on this period until data issues resolved