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Merge #989: Keep undefined recruitment channel rates out of efficiency rankings

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Michael Sitarzewski
2026-10-04 11:44:21 -05:00
parent 10948431f4 9c59db0daa
commit c43392ae8e
1 changed files with 13 additions and 7 deletions
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specialized/recruitment-specialist.md
+13 -7
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@@ -320,28 +320,34 @@ class RecruitmentFunnelAnalyzer:
'quality_score': 'mean', # Candidate quality score
}).reset_index()
# Zero denominators mean no observed rate, not zero cost or perfect ROI.
def positive(values):
return values.where(values > 0)
channel_data['cost_per_resume'] = (
channel_data['cost'] / channel_data['applications']
channel_data['cost'] / positive(channel_data['applications'])
).round(2)
channel_data['cost_per_hire'] = (
channel_data['cost'] / channel_data['offers_accepted']
channel_data['cost'] / positive(channel_data['offers_accepted'])
).round(2)
channel_data['cost_per_effective_hire'] = (
channel_data['cost'] / channel_data['probation_passed']
channel_data['cost'] / positive(channel_data['probation_passed'])
).round(2)
# Channel efficiency ranking
channel_data['composite_efficiency_score'] = (
channel_data['quality_score'] * 0.4 +
(1 / channel_data['cost_per_hire']) * 10000 * 0.3 +
channel_data['probation_passed'] / channel_data['offers_accepted'] * 100 * 0.3
(1 / positive(channel_data['cost_per_hire'])) * 10000 * 0.3 +
channel_data['probation_passed'] / positive(channel_data['offers_accepted']) * 100 * 0.3
).round(2)
return channel_data.sort_values('composite_efficiency_score', ascending=False)
return channel_data.sort_values(
'composite_efficiency_score', ascending=False, na_position='last'
)
def safe_divide(self, numerator, denominator):
if denominator == 0:
return 0
return None
return round(numerator / denominator * 100, 1)
def filter_data(self, position_id=None, department=None, period=None):