Global Feedback Performance Trend Analysis


Average yearly performance by destination on “Program meets expectations” (Midway)

End Date Year Destination Avg. Program Meets Expectations
2019Bangkok8.67
2019Barcelona6.86
2019California8.00
2019Chicago5.89
2019Colombia8.11
2019Dublin8.82
2019Hong Kong8.17
2019London7.35
2019Madrid7.71
2019Melbourne6.12
2019New York8.53
2019Shanghai9.33
2019Tokyo7.12
2019Toronto9.00
2018Barcelona7.71
2018Chicago6.88
2018Colombia7.68
2018Dublin8.18
2018Hong Kong7.81
2018London6.93
2018Madrid7.94
2018Melbourne7.23
2018New York6.97
2018Shanghai7.50
2018Tokyo6.13
2018Toronto8.47


Average yearly performance by destination on “Program met expectations” (Final)

End Date Year Destination Avg. Program Met Expectations
2019Bangkok7.30
2019Barcelona7.46
2019California7.75
2019Chicago5.25
2019Colombia7.93
2019Dublin9.00
2019Hong Kong8.05
2019London7.80
2019Madrid8.31
2019Melbourne8.00
2019New York9.00
2019Shanghai8.88
2019Tokyo7.57
2019Toronto7.33
2018Barcelona7.41
2018Chicago8.17
2018Colombia7.68
2018Dublin8.89
2018Hong Kong7.97
2018London7.71
2018Madrid7.61
2018Melbourne8.05
2018New York8.02
2018Shanghai7.83
2018Tokyo7.03
2018Toronto8.50
2017Colombia7.33
2017Dublin7.88
2017Hong Kong7.61
2017London7.20
2017Madrid7.12
2017Melbourne7.39
2017New York7.82
2017Shanghai7.18
2016Colombia7.27
2016Hong Kong7.78
2016London7.03
2016Madrid7.41
2016Melbourne7.19
2016New York7.33
2015Colombia7.25
2015Hong Kong8.43
2015London7.40
2015Madrid7.80
2015Melbourne7.12

Net Promoter Score for “Program meets expectations”


Global Average of 'Admissions set expectations'

End Date Year Avg
20197.51
20187.35
20177.67

Net Promoter Score for "Admissions set expectations"



Average yearly performance by destination on “Internship meets expectations” (Midway)

End Date Year Destination Avg. Midway
2019Bangkok8.67
2019Barcelona6.86
2019California7.67
2019Chicago6.78
2019Colombia8.08
2019Dublin8.64
2019Hong Kong7.61
2019London7.33
2019Madrid7.86
2019Melbourne6.29
2019New York7.71
2019Shanghai9.00
2019Tokyo5.75
2019Toronto9.25
2018Barcelona7.24
2018Chicago7.24
2018Colombia7.56
2018Dublin7.46
2018Hong Kong7.79
2018London7.15
2018Madrid7.55
2018Melbourne7.63
2018New York7.08
2018Shanghai8.33
2018Tokyo6.83
2018Toronto8.07
2017New York7.83




Average yearly performance by destination on “Internship meets expectations 2” (Final)

End Date Year Destination Avg. End
2019Bangkok7.70
2019Barcelona7.23
2019California7.25
2019Chicago6.88
2019Colombia7.64
2019Dublin8.83
2019Hong Kong7.75
2019London7.73
2019Madrid8.14
2019Melbourne8.11
2019New York8.65
2019Shanghai7.12
2019Tokyo7.86
2019Toronto7.83
2018Barcelona7.18
2018Chicago8.26
2018Colombia7.04
2018Dublin8.64
2018Hong Kong7.63
2018London7.72
2018Madrid7.27
2018Melbourne8.52
2018New York7.61
2018Shanghai7.31
2018Tokyo7.10
2018Toronto8.12
2017Colombia6.67
2017Dublin7.47
2017Hong Kong7.04
2017London7.24
2017Madrid6.74
2017Melbourne7.70
2017New York7.82
2017Shanghai6.64
2016Colombia6.60
2016Hong Kong7.24
2016London7.32
2016Madrid6.64
2016Melbourne6.81
2016New York7.44
2015Colombia6.88
2015Hong Kong6.43
2015London7.48
2015Madrid7.60
2015Melbourne7.24

Net Promoter Score for “Internship meets expectations”


Average yearly performance by destination on “Would Recommend Program”

End Date Year Destination Avg. would recommend program
2019Bangkok6.70
2019Barcelona8.00
2019California8.25
2019Chicago5.88
2019Colombia8.07
2019Dublin9.00
2019Hong Kong8.45
2019London7.79
2019Madrid8.53
2019Melbourne7.89
2019New York9.39
2019Shanghai9.00
2019Tokyo7.79
2019Toronto6.67
2018Barcelona7.41
2018Chicago8.43
2018Colombia7.75
2018Dublin8.90
2018Hong Kong8.09
2018London7.71
2018Madrid7.82
2018Melbourne8.12
2018New York7.63
2018Shanghai7.92
2018Tokyo6.91
2018Toronto7.92
2017Colombia8.24
2017Dublin8.58
2017Hong Kong8.79
2017London8.13
2017Madrid7.94
2017Melbourne8.40
2017New York8.57
2017Shanghai7.91
2016Colombia8.40
2016Hong Kong7.94
2016London8.23
2016Madrid8.38
2016Melbourne8.71
2016New York8.67
2015Colombia8.62
2015Hong Kong8.14
2015London8.28
2015Madrid8.40
2015Melbourne8.65

Net Promoter Score for “Would Recommend Program”

Scoring range is from 1 to 10 with 1 being the lowest and 10 the highest