11. Factors Driving Satisfaction A linear regression model shows that 63.4% of variance in overall satisfaction can be explained by the following factors: Show satisfaction (p-value=0.000) Atmosphere satisfaction (p-value=0.000) Food and drink satisfaction (p-value=0.000) Size of tables satisfaction (p-value=0.003) All factors have a positive correlation with satisfaction rating. Overall satisfaction = 0.098 + 0.514(show satisfaction) + 0.243(atmosphere) + 0.152(food/drink satisfaction) + 0.111(size of tables)
15. Size of Table Satisfaction 44.6% of the variance in table size satisfaction can be explained by the following factors: “Seating arrangements” satisfaction (p-value=0.000) Importance of “how crowded” restaurants are (p-value=0.013) Not eating at Cabaret due to poor service (p-value=0.058) Not wanting to eat with strange people at Cabaret (p-value=0.032) Seating has a positive correlation with table size satisfaction; all others have a negative correlation. Size of table satisfaction = 2.98 + 0.562(seating satisfaction) - 0.118(how crowded) - 0.0949(poor service) - 0.080(don’t like eating with strange people)
34. Those who do go to the Cabaret tend to be highly satisfied with the show; hence the need to get customers in the door
35.
36. Distinct: On standardized or non-standardized scales, cluster centroids were too close together to suggest real differences in behavior and attitude
37. Meaningful: Cluster centroids often contained confusing or contradictory combinations of factors/variables, producing no actionable results
DevonAttendees mostly associate the Cabaret with its intimate/casual atmosphere and its variety of showsNon-attendees differ most in terms of not thinking of the Cabaret as having an intimate atmosphere or short showsNeither group strongly thought of the Cabaret as a place to get dinner
Devon- Consolidate with “Sources of Information” slide but make sure to call it Sources of Information to match “Observations” slide. Highlight the 0% of very unlikely in the pie chart. Put in Net Promoter Effect under pie chart. What is the scale on the right?
PaulSatisfaction is high, with 85% saying they are “satisfied” or “very satisfied” with the Cabaret overallSatisfaction with the shows closely mimics overall satisfaction, but food and drink satisfaction lags behind
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LisaAttendees: Single ticket: 50.9% just right, 24.6% good deal (75.5%)10-ticket package: 32.4% just right, 61.4% good deal (93.8%)
AdamFood: Affiliates 6.67x more likely to spend more than $10 on food 18.33x more likely to spend anything Non-affiliates 10x more likely to spend more than $10 on food 43x more likely to spend anything Satisfaction with time of show, predicts high food spend Weekly attendees are 1/3 as likely to buy any food as <monthly guests, Drink: YSD 88x/ grad 6.45x/ affiliate 19x/ unaffiliated 14x/, unaffiliated still most likely to spend >$10 10-ticket package buyers are 2.2x more likely to buy drinks
Adam
LisaAttendees:Entrée: 32.2% ok, 7.5% good deal (39.7%)Small plate: 37.6% ok, 7.9% good deal (45.5%)
Athan- updated “Price” section to have this be the final slide with hard recommendations- ADD AND ADJUST “VOLUME” AND “FREQUENCY” AREAS TO PROVIDE FINAL RECOMMENDATIONSPriceIndividual Tickets: Price up according to WTP10-Tickets: Adjust price or decrease flexibility of redemptionEntres: Cut and offer only small dishes/dessertsConsider renaming “10-ticket package”
Athan- updated “Price” section to have this be the final slide with hard recommendations- ADD AND ADJUST “VOLUME” AND “FREQUENCY” AREAS TO PROVIDE FINAL RECOMMENDATIONSPriceIndividual Tickets: Price up according to WTP10-Tickets: Adjust price or decrease flexibility of redemptionEntres: Cut and offer only small dishes/desserts
Athan- updated “Price” section to have this be the final slide with hard recommendations- ADD AND ADJUST “VOLUME” AND “FREQUENCY” AREAS TO PROVIDE FINAL RECOMMENDATIONSPriceIndividual Tickets: Price up according to WTP10-Tickets: Adjust price or decrease flexibility of redemptionEntres: Cut and offer only small dishes/desserts