Koya Talent — Operations Register

Last 90 days

Apr 2, 2026 – Jun 30, 2026

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Submission modeProduction mode

People Ops

Active headcount30
New hires17
Exits1
Attrition rate3.3%
Time to hire28.8 days
Offer acceptance time17.7 days
Headcount by department
Engineering7
Delivery6
People Ops6
Customer Success6
Sales5

Sales

Revenue won$99,450
Pipeline value$101,560
Total leads25
Win rate60.0%
Cost per lead$2,448
Marketing spend$61,200
Revenue by lead source
Partner24050
Outbound22450
Referral21750
Inbound20150
Event11050

Project Delivery

Active projects0
Completed7
Overdue0
Over budget4
Budget variance-$1,730
On-time completion ratenot available — no completion date in source data
Delivery load by team
AI Apps3
Data2
Client Ops2
Automation1

The organization is experiencing strong growth with 17 new hires, 30 active headcount, and healthy sales performance (60% win rate, $99,450 revenue). However, project delivery metrics show concerning gaps: 1 blocked project, 4 projects over budget (57% over-budget rate), and critical data quality issues prevent full visibility into completion timelines and costs. Hiring is efficient (28.8 days to hire) and attrition remains low at 3.3%, supporting operational stability.

Operational risks

  • Project delivery quality at risk: 4 of 8 projects over budget (57% over-budget rate) with $1,730 negative variance despite favorable overall budget performance
  • Critical project metrics unavailable: on_time_completion_rate and average_delay_days are null, creating blind spot on delivery performance
  • Data integrity issues preventing complete operational visibility across all three functional areas, with 6 total records missing critical fields
  • 1 active blocked project requires immediate investigation and resolution path
  • High cost per lead ($2,448) relative to revenue won suggests potential marketing efficiency concerns

Recommended actions

  • Conduct immediate audit of 4 over-budget projects to identify root causes and implement corrective measures
  • Prioritize unblocking the 1 blocked project; establish daily status tracking until resolution
  • Implement data governance process to eliminate missing critical fields (actual_cost, due_date, deal_amount, lead_source)
  • Restore on_time_completion_rate and average_delay_days calculations to regain full project delivery visibility
  • Review marketing spend ROI: analyze cost per lead ($2,448) against customer lifetime value by lead source to optimize allocation
  • Expand sales pipeline investigation: 25 leads converted to only 9 closed-won (36% conversion), identify where deals are stalling in pipeline

Data quality warnings

  • project_delivery: on_time_completion_rate and average_delay_days show null values, preventing accurate delivery performance assessment
  • project_delivery: 1 record missing actual_cost and 1 record missing due_date prevents accurate budget and timeline tracking
  • sales: 4 records with missing or invalid data (1 status, 1 deal_amount, 1 unparseable date, 1 lead_source) affecting revenue and attribution analysis
  • people_ops: 1 record with missing status affects headcount accuracy
  • Overall: 6 records across all functions contain missing critical fields; recommend data validation enforcement before record creation