Formula
score = (x) -> if x == "Yes" 10 else 0 weights = [0.25, 0.25, 0.25, 0.25] gender_equality = [commitment, targets, gte_30_prercent_women_on_givernance, gender_pay_ratio] weights.reduce((weighted_sum, weight, index) -> weighted_sum + weight*score(gender_equality[index]) , 0)
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
commitment
2023
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
targets
2023
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
gte_30_prercent_women_on_givernance
2023
CSI.14.D Gender Pay Ratio Disclosure
Research lock
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
gender_pay_ratio
2023