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Analysis of Statistical Trends Between Design and Comfort at Chili’s Restaurant. Asif Hussain Kristyn Starr. Intro To Brinker. Brinker International has 5 divisions of restaurants ranging from casual dining to fine dining 3.7 billion dollar company

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analysis of statistical trends between design and comfort at chili s restaurant

Analysis of Statistical Trends Between Design and Comfort at Chili’s Restaurant

Asif Hussain

Kristyn Starr

intro to brinker
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”
chili s grill bar
Chili’s Grill & Bar
  • Has an eclectic menu and casual friendly atmosphere
  • 49 states and 23 countries
  • Recently opened its 1000th restaurant
task at hand
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
data source
Data Source
  • Guest Satisfaction Survey (GSS)
  • Guests receive survey information on receipt
  • Chance to win $25,000
  • About 2 million cases
gss question dimensions restaurant environment
GSS Question DimensionsRestaurant Environment
  • Atmosphere
  • Cleanliness
  • Comfort
  • Restrooms
gss question dimensions staff
GSS Question DimensionsStaff
  • Welcomed upon arrival
  • Acknowledged quickly upon being seated
  • Attentiveness of server
  • Beverage served timely
gss question dimensions staff1
GSS Question DimensionsStaff
  • Food served timely
  • Enthusiasm
  • Promptness of payment
  • Servers knowledge
software used
Software Used
  • SPSS
    • Statistical analysis software
    • User friendly graphical interface
    • Compatible with Brinker software
crosstabs
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
one way anova
One-Way ANOVA
  • Compare means of variables using prototype as factor to find significance of differences
  • Full analysis was done on 19 variables
food served timely
Food served timely

5.A

SP

7.X

8.X

5.AX

6.X

8.M

comfort
Comfort

SP

5.A

7.X

8.X

5.AX

6.X

8.M

atmosphere
Atmosphere

SP

5.A

7.X

8.X

5.AX

6.X

8.M

compare to similar overall
Compare to similar overall

SP

5.A

7.X

8.X

5.AX

6.X

8.M

overall
Overall

SP

5.A

7.X

8.X

8.M

5.AX

6.X

conclusion
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
conclusion1
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
suggestion
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
suggestion1
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
slide24

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