Presentation is loading. Please wait.

Presentation is loading. Please wait.

Analysis of Statistical Trends Between Design and Comfort at Chili’s Restaurant Asif Hussain Kristyn Starr.

Similar presentations


Presentation on theme: "Analysis of Statistical Trends Between Design and Comfort at Chili’s Restaurant Asif Hussain Kristyn Starr."— Presentation transcript:

1 Analysis of Statistical Trends Between Design and Comfort at Chili’s Restaurant Asif Hussain Kristyn Starr

2 Intro To Brinker Brinker International has 5 divisions of restaurants ranging from casual dining to fine dining 3.7 billion dollar company Recognized by FORTUNE magazine as one of “America’s most admired companies”

3 Chili’s Grill & Bar Has an eclectic menu and casual friendly atmosphere 49 states and 23 countries Recently opened its 1000 th restaurant

4 Task At Hand Does the architecture (prototype) of Chili’s influence a guest’s comfort? Find trends in data to answer question Give recommendations for changes to be made at Chili’s

5 Data Source Guest Satisfaction Survey (GSS) Guests receive survey information on receipt Chance to win $25,000 About 2 million cases

6 GSS Question Dimensions Restaurant Environment Atmosphere Cleanliness Comfort Restrooms

7 GSS Question Dimensions Staff Welcomed upon arrival Acknowledged quickly upon being seated Attentiveness of server Beverage served timely

8 GSS Question Dimensions Staff Food served timely Enthusiasm Promptness of payment Servers knowledge

9 GSS Question Dimensions Compare to Similar Restaurant Overall Atmosphere Food Service

10 Software Used SPSS –Statistical analysis software –User friendly graphical interface –Compatible with Brinker software

11 Crosstabs Find correlation between comfort and other variables The best Pearson’s r value found is 0.620 for correlation of comfort and overall experience Second best Pearson’s r value is 0.605 for comfort and cleanliness Due to lots of data and significance=0 this r value shows a correlation

12 Comfort & Overall Experience

13 Comfort & Cleanliness

14 One-Way ANOVA Compare means of variables using prototype as factor to find significance of differences Full analysis was done on 19 variables

15 Food served timely 7.X8.X 8.M6.X 5.A 5.AX SP

16 Comfort 7.X8.X 8.M6.X 5.A 5.AX SP

17 Atmosphere 7.X8.X 8.M6.X 5.A 5.AX SP

18 Compare to similar overall 7.X8.X 8.M6.X 5.A 5.AX SP

19 Overall 7.X8.X 8.M 6.X 5.A 5.AX SP

20 Conclusion Prototype 14 consistently scored higher than the rest –Changed exterior and interior –Newer look : Stone and perforated metal exterior accents; cook-off/ event pictures, toys and cars spotlighted inside –7 stores and 4078 entries

21 Conclusion Prototype 11 and 7.X consistently scored low –11 only has one restaurant –7.X is expanded 7; once again only a few –7.X may have scored low because of location and not prototype

22 Suggestion It appears that the prototype does not affect the comfort much Benchmarks may help to better separate the strong and weak prototypes Look at top 2 boxes of ratings instead of means

23 Suggestion With minor adjustments to staff, air, and table spacing comfort levels could improve More detailed questions on GSS or focus group may offer more insight

24


Download ppt "Analysis of Statistical Trends Between Design and Comfort at Chili’s Restaurant Asif Hussain Kristyn Starr."

Similar presentations


Ads by Google