Page 13 - Case study: Smart Dubai Happiness Meter in Dubai, United Arab Emirates
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o  Ease of Use

                o  Ease of Access

                o  Speed of Delivery


                o  Clarity of Presentation

                o  Technical Performance

                o  Customer Privacy


                o  Staff Professionalism

                o  Center Appearance


                o  Online Support

                o  Website Application Design

            •  The service for which happiness score was given


            •  Geolocation (based on channel)

            The collected data enables Smart Dubai to analyze the following, among several others:


            •  City level happiness score

            •  Entity level and entity type consolidated (e.g. public or private sector) happiness score

            •  Channel level happiness score


            •  Number of votes at city, entity and channel levels

            •  Distribution of votes by the time of the day

            •  Reasons for happy votes based on comments from customers (allows dissemination of good
                practices among the entities)


            •  Reasons for unhappiness based on comments from customers (allows services enhancement)

            •  Various statistical analyses to understand distributional aspects (variations and statistical
                modeling)

            •  Various correlation analyses (machine learning) to link happiness to service related attributes








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