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What should Microsoft Mobile’s next phone features be? 
17-12-2014
Presentation Flow 
1.Background 
2.Parameters & Techniques 
3.FGD Analysis 
4.Questionnaire Data Analysis 
1.Cluster Analysis 
2.Factor Analysis 
5.Interpretation 
6.What does the data says 
17-12-2014
Background 
Android has seen an increase in global smartphone market share whereas Microsoft Mobile (erstwhile Nokia) and Apple’s iOS saw a decline. 
Now we, Microsoft Mobile, want to gauge what exactly is Android platform doing correctly which is being widely accepted vis-à-vis other brands. 
So in this market research assignment we attempt to understand where Microsoft Mobile is lagging in comparison with Android phones. 
So these would become the areas of improvement for Microsoft Mobile while launching subsequent mobiles. 
17-12-2014
Parameters & Techniques 
Parameters 
Age 
Usage (How dependant are you on your phone?) 
First time buyer, repeat buyer 
Income 
Willingness to spend on new mobiles 
Gender 
Techniques 
Qualitative 
Focus Group Discussion 
Quantitative 
Questionnaire 
Combined questionnaire on Hardware & Software features. 
17-12-2014
Focus Group Discussion Analysis 
Age group of respondents 19-21 years 
They prefer Non Microsoft mobile having Android OS because: 
Reference from friends 
More number of applications 
Less costly phones 
Respondents feel that the above things are not provided by Microsoft/Nokia 
17-12-2014
Questionnaire Data and Analysis 
Total respondents = 100 
Analysis used 
Cluster Analysis 
Factor Analysis 
17-12-2014
Analysis (Cluster Analysis of All Samples) 
17-12-2014
17-12-2014
Interpretation 
1 
2 
3 
4 
Age 
19-25 
26-35 
26-35 
19-26 
Gender 
Male 
Male 
Male 
Male 
Willing to spend 
30k+ 
10-18k 
5-10k 
10-18k 
Low Weightage 
•VPA 
•Music Store 
•Games 
•VPA 
•Home Screen 
•External Mem 
•Music 
•Games 
•VPA 
•Apps 
•Games 
Fair Weightage 
•Office 
•Internal Memory 
•Apps 
•Music 
•Camera 
•Email 
•Social Network 
•VPA 
•Camera 
•Internal Memory 
•Home screen 
•Office 
•Camera 
High Weightage 
•Home Screen 
•Battery 
•RAM 
•Email 
•Call 
•Social Network 
•Battery 
•RAM 
•Call 
•Office 
•Home Screen 
•Office 
•Music Store 
•Battery 
•Call 
•Social Network 
•Music Store 
•Call 
•Music 
17-12-2014
Analysis of 10-18k Price range users 
Sample = 45 
17-12-2014
Interpretation 
1 
2 
3 
4 
Screen Size 
4 - 4.5 
4 – 4.5 
4 – 4.5 
4 – 4.5 
Screen Type 
Super Amoled 
Super Amoled 
Super Amoled 
Super Amoled 
OS 
Windows 
Android 
Android 
Android 
Low Weightage 
•VPA 
•VPA 
•Home Screen 
•External Mem 
•Music 
•Email 
•Social Network 
•Games 
•Music Store 
•Apps 
•Games 
Fair Weightage 
•Internal Memory 
•Apps 
•Music 
•Camera 
•Games 
•Camera 
•VPA 
•Camera 
•Internal Memory 
•Home screen 
•Camera 
•VPA 
High Weightage 
•Home Screen 
•Battery 
•RAM 
•Email 
•Call 
•Social Network 
•Office 
•Music Store 
•Battery 
•RAM 
•Call 
•Apps 
•Home Screen 
•Office 
•Battery 
•Call 
•Social Network 
•Music Store 
•Call 
•Music 
•Office 
17-12-2014
FACTOR ANALYSIS 
17-12-2014
FACTOR ANALYSIS 
All the Variables have correlation with the factors as listed below- 
Hardware: 
CAMERA 
INTERNAL MEMORY 
EXTERNAL MEMORY 
BATTERY 
RAM 
Software: 
VPA (Voice Personal Assistance) 
HOME SCREEN 
OFFICE SUITE 
MUSIC STORE 
17-12-2014
One-Way Anova Test 
VARIABLES 
SIG. 
INCOME 
INTERNAL MEMORY 
0.036 
INCOME 
BATTERY 
0.010 
INCOME 
CAMERA 
0.008 
OPERATING SYSTEM 
MUSIC STORE 
0.044 
OPERATING SYSTEM 
OFFICE SUITE 
0.123 
OPERATING SYSTEM 
RAM 
0.011 
17-12-2014
Analysis (One-Way Anova) 
Across all the income groups Mobile Phone Hardware factor have the same High impact on the buying behavior. 
Software factors might vary across different income groups in terms of their significance. 
For different types of operating system we have a mixed significance level across Hardware and Software’s. 
Consumers using Windows or Android platform might differ in terms of hardware and software requirement 
Common variables which are highly significant with different Operating system consumers are 
Music Store 
Office Suite 
RAM 
17-12-2014
What does the data says? 
Current Microsoft Windows mobile users are happy with the features provided by Microsoft 
Other OS users have high liking towards Dynamic Home Screen and Office Suite provided by Microsoft 
Microsoft needs to improve on Apps base 
17-12-2014
What does the data says? 
17-12-2014
17-12-2014
17-12-2014
17-12-2014
17-12-2014

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Microsoft mobiles next phone feature rmd

  • 1. What should Microsoft Mobile’s next phone features be? 17-12-2014
  • 2. Presentation Flow 1.Background 2.Parameters & Techniques 3.FGD Analysis 4.Questionnaire Data Analysis 1.Cluster Analysis 2.Factor Analysis 5.Interpretation 6.What does the data says 17-12-2014
  • 3. Background Android has seen an increase in global smartphone market share whereas Microsoft Mobile (erstwhile Nokia) and Apple’s iOS saw a decline. Now we, Microsoft Mobile, want to gauge what exactly is Android platform doing correctly which is being widely accepted vis-à-vis other brands. So in this market research assignment we attempt to understand where Microsoft Mobile is lagging in comparison with Android phones. So these would become the areas of improvement for Microsoft Mobile while launching subsequent mobiles. 17-12-2014
  • 4. Parameters & Techniques Parameters Age Usage (How dependant are you on your phone?) First time buyer, repeat buyer Income Willingness to spend on new mobiles Gender Techniques Qualitative Focus Group Discussion Quantitative Questionnaire Combined questionnaire on Hardware & Software features. 17-12-2014
  • 5. Focus Group Discussion Analysis Age group of respondents 19-21 years They prefer Non Microsoft mobile having Android OS because: Reference from friends More number of applications Less costly phones Respondents feel that the above things are not provided by Microsoft/Nokia 17-12-2014
  • 6. Questionnaire Data and Analysis Total respondents = 100 Analysis used Cluster Analysis Factor Analysis 17-12-2014
  • 7. Analysis (Cluster Analysis of All Samples) 17-12-2014
  • 9. Interpretation 1 2 3 4 Age 19-25 26-35 26-35 19-26 Gender Male Male Male Male Willing to spend 30k+ 10-18k 5-10k 10-18k Low Weightage •VPA •Music Store •Games •VPA •Home Screen •External Mem •Music •Games •VPA •Apps •Games Fair Weightage •Office •Internal Memory •Apps •Music •Camera •Email •Social Network •VPA •Camera •Internal Memory •Home screen •Office •Camera High Weightage •Home Screen •Battery •RAM •Email •Call •Social Network •Battery •RAM •Call •Office •Home Screen •Office •Music Store •Battery •Call •Social Network •Music Store •Call •Music 17-12-2014
  • 10. Analysis of 10-18k Price range users Sample = 45 17-12-2014
  • 11. Interpretation 1 2 3 4 Screen Size 4 - 4.5 4 – 4.5 4 – 4.5 4 – 4.5 Screen Type Super Amoled Super Amoled Super Amoled Super Amoled OS Windows Android Android Android Low Weightage •VPA •VPA •Home Screen •External Mem •Music •Email •Social Network •Games •Music Store •Apps •Games Fair Weightage •Internal Memory •Apps •Music •Camera •Games •Camera •VPA •Camera •Internal Memory •Home screen •Camera •VPA High Weightage •Home Screen •Battery •RAM •Email •Call •Social Network •Office •Music Store •Battery •RAM •Call •Apps •Home Screen •Office •Battery •Call •Social Network •Music Store •Call •Music •Office 17-12-2014
  • 13. FACTOR ANALYSIS All the Variables have correlation with the factors as listed below- Hardware: CAMERA INTERNAL MEMORY EXTERNAL MEMORY BATTERY RAM Software: VPA (Voice Personal Assistance) HOME SCREEN OFFICE SUITE MUSIC STORE 17-12-2014
  • 14. One-Way Anova Test VARIABLES SIG. INCOME INTERNAL MEMORY 0.036 INCOME BATTERY 0.010 INCOME CAMERA 0.008 OPERATING SYSTEM MUSIC STORE 0.044 OPERATING SYSTEM OFFICE SUITE 0.123 OPERATING SYSTEM RAM 0.011 17-12-2014
  • 15. Analysis (One-Way Anova) Across all the income groups Mobile Phone Hardware factor have the same High impact on the buying behavior. Software factors might vary across different income groups in terms of their significance. For different types of operating system we have a mixed significance level across Hardware and Software’s. Consumers using Windows or Android platform might differ in terms of hardware and software requirement Common variables which are highly significant with different Operating system consumers are Music Store Office Suite RAM 17-12-2014
  • 16. What does the data says? Current Microsoft Windows mobile users are happy with the features provided by Microsoft Other OS users have high liking towards Dynamic Home Screen and Office Suite provided by Microsoft Microsoft needs to improve on Apps base 17-12-2014
  • 17. What does the data says? 17-12-2014