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Viktor Simek

Data Analyst · Product

VS
ROI score
51Watch

Cost per accepted unit is above the team median.

Recommendation

Compare this person's model mix to top performers on the team.

AI spend
$316
2% vs prior period
Yield rate
58%
Team average 61%
Cost per accepted unit
$15.92
Team average $8.83
Leverage vs last month
1.11
34 runs · 20 accepted · 4.7M tokens

Weekly AI spend

Human loops

Accepted64%
Rejected 36% · team 72% accepted
Guidance levelMedium
Runs without result8%
Waste$153

ROI score breakdown

Yield 30%
58
Cost efficiency 25%
17
Trend 20%
57
Model fit 10%
89
Capability use 15%
59

Each component is scored 0–100; 50 means on par with the team median or flat vs last month. Good ≥ 70, Watch 40–69, Bad < 40.

Model mix: spend share vs token share

Premium reasoning model34% spend · 12% tokens
Standard model49% spend · 39% tokens
Fast small model16% spend · 49% tokens

Top skills used

  • Drafting
  • Spreadsheet automation
  • Image generation

Agents and MCP usage

  • Knowledge base MCP33 runs
  • Ticket triage agent62 runs