SlideShare une entreprise Scribd logo
1  sur  13
Télécharger pour lire hors ligne
INSIGHTS
      &
OPPORTUNITIES
     By
   Elryna Lawi
Aldo Shoes
Aldo Shoes
Insights
   Merchandise display was visible from outside the store.
   Color scheme was neutral/light, and store was well lit.
   Personnel were young (in their 20’s) and hip. Impression of the
    personnel matched the products.
   There were 6 customers and 4 personnel at time of observation.
   Customers spent less than 5 minutes in store.
   There was a central display of shoes and boots of the season,
    placed by the entrance.


Hidden Opportunities
The store was over-staffed. The store could lower its operating costs by
staffing store with fewer personnel.
GAP
GAP
Insights
   Personnel greeted every customer that entered the store. Relax and
    friendly atmosphere.
   Pleasant environment with tile and hardwood flooring. Upbeat music
    in the background.
   A central display of the latest style of clothing and great value items.
   Sale items were on the side and back of store.
   A ratio of 1 personnel to 2 customers.
   Inexpensive items (less than $10) by the Cashier.
   Most customers were browsing, and some purchased the products.


Hidden Opportunities
The store was crowded with merchandise. It can look into improving its
display of inventory.
La Baguette
La Baguette
Insights
   Store was small and crowded with customers lining up to buy its
    products: desserts, pastries, and bread.
   High customer turnover: an average of 3 minutes per customer.
   Tempting desserts and pastries were displayed prominently on
    store’s windows.
   There were 4 personnel to a continuously forming line of 4 to 8
    customers.
   Almost all customers had the intent to buy.
   Inexpensive bagged baked items were displayed on shelves next to
    the customer’s line. Customers could pick up these items themselves
    and pay at Cashier, which was at the end of the line.

Hidden Opportunities
The store did quite well already, but perhaps it could increase the
selection of “self-serve” items, next to the customer’s line.
Banana Republic
Banana Republic
Insights
   Store was slickly decorated with urban feel, and flattering lighting.
   “Limited Time 40% Sale” sign was visible from outside the store, and
    was prominently displayed throughout the store.
   Store was crowded with customers, who were browsing, and
    seemed to want to purchase merchandise on sales.
   Customer turnover varied from 3 minutes to over 15 minutes.
   Customers were a good mix of males and females, who appeared to
    be fashion conscious.


Hidden Opportunities
The sale attracted customers. It seemed to be a successful event. The
store could track and analyze the sales and profit margin associated with
a sale event. The store could then make a strategic decision on the
schedule of sales.
Apple Store
Apple Store
Insights
  Store was small and crowded with customers and personnel.
  Store was brightly lit.
  Newly released products were displayed on tables and customers
   could freely explore the products.
  It was adequately staffed with a ratio of 1 staff to 2 customers. Most
   personnel appeared to be in their 30’s.
  Customers were mostly adult males.
  Customers and personnel interaction, and exploration of products,
   spilled over to the adjacent tables and chairs outside the store.


Hidden Opportunities
The store was crammed with people that it may discourage exploration
of the products. It should assess its store space and seemingly large
number of personnel.
Microsoft Store
Microsoft Store
Insights
   Spacious and brightly lit store.
   Plenty of products on display that could be freely explored by customers.
   Images of newly released products were prominently displayed on
    store’s window and walls inside the store.
   A good ratio of 3 customers to 1 personnel.
   Customers were of all ages: youths to older adults. The store was family
    friendly with several kids playing video games in the store.
   2 personnel stood by the entrance to greet customers.
   Most customers were there to explore the products.


Hidden Opportunities
It is a large store with large overhead costs. It can re-assess the store' space
requirement. It can also look into fee-based services to be provided on site,
e.g. MS tutorial.

Contenu connexe

En vedette

Seminar pilar bangsa
Seminar pilar bangsaSeminar pilar bangsa
Seminar pilar bangsaAri Kusnandi
 
Hank olumpia pp
Hank olumpia ppHank olumpia pp
Hank olumpia ppKevin Poll
 
Large Scale ETL with Hadoop
Large Scale ETL with HadoopLarge Scale ETL with Hadoop
Large Scale ETL with HadoopEric Sammer
 
Activity 7.3
Activity 7.3 Activity 7.3
Activity 7.3 yaschuk
 
Insights & opportunities
Insights & opportunitiesInsights & opportunities
Insights & opportunitiesElryna Lawi
 
10.11.12 Pecha Kucha presentation
10.11.12 Pecha Kucha presentation10.11.12 Pecha Kucha presentation
10.11.12 Pecha Kucha presentationDavid Mann
 
Building a system for machine and event-oriented data - Data Day Seattle 2015
Building a system for machine and event-oriented data - Data Day Seattle 2015Building a system for machine and event-oriented data - Data Day Seattle 2015
Building a system for machine and event-oriented data - Data Day Seattle 2015Eric Sammer
 
Building a system for machine and event-oriented data - Velocity, Santa Clara...
Building a system for machine and event-oriented data - Velocity, Santa Clara...Building a system for machine and event-oriented data - Velocity, Santa Clara...
Building a system for machine and event-oriented data - Velocity, Santa Clara...Eric Sammer
 
from source to solution - building a system for event-oriented data
from source to solution - building a system for event-oriented datafrom source to solution - building a system for event-oriented data
from source to solution - building a system for event-oriented dataEric Sammer
 
Dp and causal analysis guideline
Dp and causal analysis guidelineDp and causal analysis guideline
Dp and causal analysis guidelineM H Chandra
 
High cardinality time series search: A new level of scale - Data Day Texas 2016
High cardinality time series search: A new level of scale - Data Day Texas 2016High cardinality time series search: A new level of scale - Data Day Texas 2016
High cardinality time series search: A new level of scale - Data Day Texas 2016Eric Sammer
 
Brand Storytelling: A Look at the Hero and Brand Journey
Brand Storytelling: A Look at the Hero and Brand JourneyBrand Storytelling: A Look at the Hero and Brand Journey
Brand Storytelling: A Look at the Hero and Brand JourneyKim Donlan
 
What is a presentation
What is a presentationWhat is a presentation
What is a presentationimporterss
 

En vedette (16)

Turning gears
Turning gearsTurning gears
Turning gears
 
Seminar pilar bangsa
Seminar pilar bangsaSeminar pilar bangsa
Seminar pilar bangsa
 
Hank olumpia pp
Hank olumpia ppHank olumpia pp
Hank olumpia pp
 
Large Scale ETL with Hadoop
Large Scale ETL with HadoopLarge Scale ETL with Hadoop
Large Scale ETL with Hadoop
 
Activity 7.3
Activity 7.3 Activity 7.3
Activity 7.3
 
Value of bread
Value of breadValue of bread
Value of bread
 
Insights & opportunities
Insights & opportunitiesInsights & opportunities
Insights & opportunities
 
10.11.12 Pecha Kucha presentation
10.11.12 Pecha Kucha presentation10.11.12 Pecha Kucha presentation
10.11.12 Pecha Kucha presentation
 
Building a system for machine and event-oriented data - Data Day Seattle 2015
Building a system for machine and event-oriented data - Data Day Seattle 2015Building a system for machine and event-oriented data - Data Day Seattle 2015
Building a system for machine and event-oriented data - Data Day Seattle 2015
 
Building a system for machine and event-oriented data - Velocity, Santa Clara...
Building a system for machine and event-oriented data - Velocity, Santa Clara...Building a system for machine and event-oriented data - Velocity, Santa Clara...
Building a system for machine and event-oriented data - Velocity, Santa Clara...
 
from source to solution - building a system for event-oriented data
from source to solution - building a system for event-oriented datafrom source to solution - building a system for event-oriented data
from source to solution - building a system for event-oriented data
 
Dp and causal analysis guideline
Dp and causal analysis guidelineDp and causal analysis guideline
Dp and causal analysis guideline
 
High cardinality time series search: A new level of scale - Data Day Texas 2016
High cardinality time series search: A new level of scale - Data Day Texas 2016High cardinality time series search: A new level of scale - Data Day Texas 2016
High cardinality time series search: A new level of scale - Data Day Texas 2016
 
Brand Storytelling: A Look at the Hero and Brand Journey
Brand Storytelling: A Look at the Hero and Brand JourneyBrand Storytelling: A Look at the Hero and Brand Journey
Brand Storytelling: A Look at the Hero and Brand Journey
 
What is a presentation
What is a presentationWhat is a presentation
What is a presentation
 
Feedback
FeedbackFeedback
Feedback
 

Similaire à Insights & opportunities

Ventureassgnmt2 - EMMANUEL
Ventureassgnmt2 - EMMANUELVentureassgnmt2 - EMMANUEL
Ventureassgnmt2 - EMMANUELMrCofie
 
Ventureassgnmt2 - Emmanuel2
Ventureassgnmt2 - Emmanuel2Ventureassgnmt2 - Emmanuel2
Ventureassgnmt2 - Emmanuel2MrCofie
 
TEM 431_ Observation Lab.pptx
TEM 431_ Observation Lab.pptxTEM 431_ Observation Lab.pptx
TEM 431_ Observation Lab.pptxlzollner
 
Store observations assignment 2
Store observations assignment 2Store observations assignment 2
Store observations assignment 2jane1mclaurin
 
Store observations assignment 2
Store observations assignment 2Store observations assignment 2
Store observations assignment 2jane1mclaurin
 
Are you paying attention
Are  you paying attentionAre  you paying attention
Are you paying attentionSam Sampath
 
Observational Lab_SBoesch.pdf
Observational Lab_SBoesch.pdfObservational Lab_SBoesch.pdf
Observational Lab_SBoesch.pdfShannonBoesch
 
Shopping experience
Shopping experienceShopping experience
Shopping experiencesrachamadugu
 
Observing the unobserved
Observing the unobservedObserving the unobserved
Observing the unobservedAman Srivastava
 
Observation Lab: Store Experiences
Observation Lab: Store ExperiencesObservation Lab: Store Experiences
Observation Lab: Store ExperiencesHaraldZimmer
 
Stanford creativity assignment02-v2
Stanford creativity assignment02-v2Stanford creativity assignment02-v2
Stanford creativity assignment02-v2Joerg Geier
 
Crashing creativity observation lab ricardo dlf
Crashing creativity observation lab ricardo dlfCrashing creativity observation lab ricardo dlf
Crashing creativity observation lab ricardo dlfrickasha
 
Creativity assignment 2
Creativity assignment 2Creativity assignment 2
Creativity assignment 2Ako Gabriel
 

Similaire à Insights & opportunities (20)

Ventureassgnmt2 - EMMANUEL
Ventureassgnmt2 - EMMANUELVentureassgnmt2 - EMMANUEL
Ventureassgnmt2 - EMMANUEL
 
Ventureassgnmt2 - Emmanuel2
Ventureassgnmt2 - Emmanuel2Ventureassgnmt2 - Emmanuel2
Ventureassgnmt2 - Emmanuel2
 
TEM 431_ Observation Lab.pptx
TEM 431_ Observation Lab.pptxTEM 431_ Observation Lab.pptx
TEM 431_ Observation Lab.pptx
 
Store observations assignment 2
Store observations assignment 2Store observations assignment 2
Store observations assignment 2
 
Store observations assignment 2
Store observations assignment 2Store observations assignment 2
Store observations assignment 2
 
Store observation
Store observationStore observation
Store observation
 
Are you paying attention
Are  you paying attentionAre  you paying attention
Are you paying attention
 
Lab Observation.pptx
Lab Observation.pptxLab Observation.pptx
Lab Observation.pptx
 
Assignment 2
Assignment 2Assignment 2
Assignment 2
 
INZIGHTS
INZIGHTSINZIGHTS
INZIGHTS
 
INZSIGHTS
INZSIGHTSINZSIGHTS
INZSIGHTS
 
Insights doc
Insights docInsights doc
Insights doc
 
Observational Lab_SBoesch.pdf
Observational Lab_SBoesch.pdfObservational Lab_SBoesch.pdf
Observational Lab_SBoesch.pdf
 
Shopping experience
Shopping experienceShopping experience
Shopping experience
 
Observing the unobserved
Observing the unobservedObserving the unobserved
Observing the unobserved
 
Crash course on creativity assignment ii - observation lab
Crash course on creativity   assignment ii - observation labCrash course on creativity   assignment ii - observation lab
Crash course on creativity assignment ii - observation lab
 
Observation Lab: Store Experiences
Observation Lab: Store ExperiencesObservation Lab: Store Experiences
Observation Lab: Store Experiences
 
Stanford creativity assignment02-v2
Stanford creativity assignment02-v2Stanford creativity assignment02-v2
Stanford creativity assignment02-v2
 
Crashing creativity observation lab ricardo dlf
Crashing creativity observation lab ricardo dlfCrashing creativity observation lab ricardo dlf
Crashing creativity observation lab ricardo dlf
 
Creativity assignment 2
Creativity assignment 2Creativity assignment 2
Creativity assignment 2
 

Insights & opportunities

  • 1. INSIGHTS & OPPORTUNITIES By Elryna Lawi
  • 3. Aldo Shoes Insights  Merchandise display was visible from outside the store.  Color scheme was neutral/light, and store was well lit.  Personnel were young (in their 20’s) and hip. Impression of the personnel matched the products.  There were 6 customers and 4 personnel at time of observation.  Customers spent less than 5 minutes in store.  There was a central display of shoes and boots of the season, placed by the entrance. Hidden Opportunities The store was over-staffed. The store could lower its operating costs by staffing store with fewer personnel.
  • 4. GAP
  • 5. GAP Insights  Personnel greeted every customer that entered the store. Relax and friendly atmosphere.  Pleasant environment with tile and hardwood flooring. Upbeat music in the background.  A central display of the latest style of clothing and great value items.  Sale items were on the side and back of store.  A ratio of 1 personnel to 2 customers.  Inexpensive items (less than $10) by the Cashier.  Most customers were browsing, and some purchased the products. Hidden Opportunities The store was crowded with merchandise. It can look into improving its display of inventory.
  • 7. La Baguette Insights  Store was small and crowded with customers lining up to buy its products: desserts, pastries, and bread.  High customer turnover: an average of 3 minutes per customer.  Tempting desserts and pastries were displayed prominently on store’s windows.  There were 4 personnel to a continuously forming line of 4 to 8 customers.  Almost all customers had the intent to buy.  Inexpensive bagged baked items were displayed on shelves next to the customer’s line. Customers could pick up these items themselves and pay at Cashier, which was at the end of the line. Hidden Opportunities The store did quite well already, but perhaps it could increase the selection of “self-serve” items, next to the customer’s line.
  • 9. Banana Republic Insights  Store was slickly decorated with urban feel, and flattering lighting.  “Limited Time 40% Sale” sign was visible from outside the store, and was prominently displayed throughout the store.  Store was crowded with customers, who were browsing, and seemed to want to purchase merchandise on sales.  Customer turnover varied from 3 minutes to over 15 minutes.  Customers were a good mix of males and females, who appeared to be fashion conscious. Hidden Opportunities The sale attracted customers. It seemed to be a successful event. The store could track and analyze the sales and profit margin associated with a sale event. The store could then make a strategic decision on the schedule of sales.
  • 11. Apple Store Insights  Store was small and crowded with customers and personnel.  Store was brightly lit.  Newly released products were displayed on tables and customers could freely explore the products.  It was adequately staffed with a ratio of 1 staff to 2 customers. Most personnel appeared to be in their 30’s.  Customers were mostly adult males.  Customers and personnel interaction, and exploration of products, spilled over to the adjacent tables and chairs outside the store. Hidden Opportunities The store was crammed with people that it may discourage exploration of the products. It should assess its store space and seemingly large number of personnel.
  • 13. Microsoft Store Insights  Spacious and brightly lit store.  Plenty of products on display that could be freely explored by customers.  Images of newly released products were prominently displayed on store’s window and walls inside the store.  A good ratio of 3 customers to 1 personnel.  Customers were of all ages: youths to older adults. The store was family friendly with several kids playing video games in the store.  2 personnel stood by the entrance to greet customers.  Most customers were there to explore the products. Hidden Opportunities It is a large store with large overhead costs. It can re-assess the store' space requirement. It can also look into fee-based services to be provided on site, e.g. MS tutorial.