Moster pr 2013
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Transcript of Moster pr 2013
Measuring Modeling Mentoring
Welcome
Metric Consultancy LtdA Group company of Metric Global
The first Indian Global Market Research Organization
Measuring Modeling Mentoring
The MOSTER System
CEM Model that is used in 30 countries
Measuring Modeling Mentoring
Customer Satisfaction Measurement : What we always believed to be
0 10
5
Increased Satisfaction
Decreased Satisfaction
Improved Quality
Poor Quality
6.8 7.2
7.8 8.40 10
Measuring Modeling Mentoring
Satisfaction as `experience’ is not one homogenous state
Disgust Dissatisfaction Satisfaction Delight
Measuring it as just One Number is oversimplification.
Satisfaction is a panorama of several shades / states
Measuring Modeling Mentoring
Satisfaction DelightDissatisfaction
010
Customer Satisfaction : what every one does
TOP BOX
SCORE
MEAN
SCORE
Measuring Modeling Mentoring
Customer Satisfaction is also discontinuous
Dissatisfaction Satisfaction Delight
Satisfied More Satisfied
Excited
Less Satisfied
Disappointed
Measuring Modeling Mentoring
Satisfaction : Continuous or Categorical
Variable ? Continuous Variable
Age in years, Weight, Blood pressure reading , Temperature, Concentrations of pollutants
Satisfaction : Rating on a scale
Categorical variable(Items can be sorted into categories
like sorting into bins)SexNationality race/ethnicity favorite pet
Dissatisfaction-Satisfaction-Delight
Measuring Modeling Mentoring
Neither
key drivers of overall satisfaction can be estimated reliably
Nor
A robust relationships between Satisfaction &
Loyalty & Advocacy cannot be established
Satisfaction as `Continuous Variable’ has led to several problems
Measuring Modeling Mentoring
* Copy Right with METRIC Consultancy Limited ,India
The MOSTER System*
For
A Systematic Plan for Delighting Customers
Measuring Modeling Mentoring
One Dimensional Quality
Performance
Bad Good
Low High
User
Satisfaction
KANO’S THEORY OF TWO DIMENSIONAL QUALITY
Two Dimensional Quality
Satisfaction Good
Performance
Measuring Modeling Mentoring
Basic OR Must Be Quality
Absence of these will cause
dissatisfaction, but no amount
of Improvements will enhance
positive satisfaction, it will only
minimise dissatisfaction.
KANO’S THEORY OF TWO DIMENSIONAL QUALITY
Illustration
Toilet rolls in a hotel room. Zero toilet rolls = unhappy customer.
Three extra toilet rolls = not unhappy, but not happy customer.
Delight
Dissatisfaction
Performance
Must be attributes
0 100
Measuring Modeling Mentoring
Excitement or Delight Quality
Presence of these will delight
customers/users and increase
their satisfaction, but absence
of them will not affect the
existing level of satisfaction.
Illustration
Internet access on a plane or tube is not expected and so will not
upset if not present, but will delight if it is.
KANO’S THEORY OF TWO DIMENSIONAL QUALITY
Delight attributes
Measuring Modeling Mentoring
Performance Quality
Satisfaction is proportional to the
way in which these attributes
perform starting from
dissatisfaction due to poor
performance or absence
to Delight due to quick, powerful
or exquisite performance.
Illustration
Miles per gallon: more = greater satisfaction
Waiting time in an airport: less time = greater satisfaction
0
Delight
Dissatisfaction
Performance
100
KANO’S THEORY OF TWO DIMENSIONAL QUALITY
Measuring Modeling Mentoring
Customers expectations and responses change over time.
What is Delight Generating today becomes the Minimum Expected tomorrow.
The class of attribute changes with time
Makes Innovation key driver of success
For example:
Internet-ready PC with in-built MODEM was a
delight attribute 5 years back; today it is a
must-be attribute.
Innovation
Pipe line
Measuring Modeling Mentoring
Nature of Customer Expectations
Level Customers
Believe Can and Should Be
Delivered
Minimum Level
Customers Are Willing
to Accept
Performance
Minimum Level
Customers Are Willing
to Accept
Measuring Modeling Mentoring
MinimumExpected
State your Performance Expectation from
Industry
Desired Service
Rate your actual Experience with
Brand/s
Emotions generated
Satisfied
Delighted
Dissatisfied
DATA COLLECTION & GENERATING INPUTS FOR MOSTER
MAPPING
Data Collection Mapping
Measuring Modeling Mentoring
Distance from
Dissatisfaction
Threshold
Dissatisfied
Delighted
Satisfied
DELIGHTED
SATISFIED
DISSATISFIED
For each attribute and on the
overall basis MOSTER measures
the proportion of respondents who
are
What does the MOSTER System Deliver ?
Measuring Modeling Mentoring
* Copy Right with METRIC Consultancy Limited ,India
The MOSTER System*
THE DELIVERABLES
Measuring Modeling Mentoring
-10.0
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
10.0
-10.0 -8.0 -6.0 -4.0 -2.0 0.0 2.0 4.0 6.0 8.0 10.0
Distribution of Respondents in Satisfaction SpaceValue for money
Delighted
(45%)
Dissatisfied
(23%)
Satisfied
(32%)
Measuring Modeling Mentoring
MOSTER System : Attribute wise MOSTER Satisfaction Score
Distance from
Dissatisfaction
Threshold
Satisfaction score for each attribute is estimated on the basis of position of respondents in the MOSTER Satisfaction space as per the scale indicated
Score can range from 0 to 100
Overall Score is the attribute wise weighted average score for all attributes
12 5
6
7
9
10
Measuring Modeling Mentoring
(Y) Overall Satisfaction
A1
A2
A3
A5
A4
Delight Status on Attributes
We built a model using multiple regression with dummy variables
Dependent variable (Y): Overall Satisfaction score
Xi
Independent variables (X): Delight status of respondents on attributes
MOSTER System : Estimation of Key Drivers of Satisfaction
Measuring Modeling Mentoring
Model Summary
R R2
Adjusted R2 Std. Error of
EstimateChange Statistics
R2
Change F Change Sig. F Change
0.837 0.700 0.694 4.766 0.700 119.567 0.000
Attribute Name Beta Std. Error t
Available In-Stock 4.699 0.620 7.574
Good selection in specific price
range1.441 0.684 2.105
Easy to shop on my own 1.554 0.746 2.085
Easy to determine which Mowers
went with which signage1.632 0.729 2.238
Signs / Information made easy to
compare Mower features and
benefits
2.021 0.731 2.766
Key Drivers for Satisfaction
41%
13%14%
14%
18%
Drivers of Overall Satisfaction
Available In-
Stock
Good selection in
specific price
range
Easy to shop
on my own
Easy to
determine
which Mowers
went with
which
signage
Signs / Information made
easy to compare Mower
features and benefits
Measuring Modeling Mentoring
10% 74%
16%
Quick Response
MOSTER System : Attribute wise proportion of delighted/satisfied/dissatisfied respondents
Measuring Modeling Mentoring
Distance from
Dissatisfaction
Threshold
Marginally below
delight
(Upper threshold of
delight)
Dissatisfied
Delighted
Satisfied
Marginally Dissatisfied
(Lower threshold of satisfaction)
Marginally Delighted
MOSTER System : Attribute wise improvement potential
Measuring Modeling Mentoring
MOSTER helps you estimate
Improvement Potential for each Attribute
Threshold valuesFigures are in percentage of
total respondents Delighted
9
12
31
Satisfied30
Dissatisfied
18
Attribute: Availability of all models & colors
A small change of
ratings on this attribute
will result in 18%
moving from dissatisfied
to satisfied AND 12%
from satisfied to
delighted= 30%Likely
Impact Of Marginal
Improvement
Improvement Potential = 18 % + 12 % = 30 %
Measuring Modeling Mentoring
MOSTER helps you rank attributes in
descending order of Improvement Potential
Improvement Potential
A8
A5
A1
A9
A9
A7
A12
A6
A3
Improvement Potential
Measuring Modeling Mentoring
Low High
NEXT
NOT SO
SOON
NOW
NEAR
FUTURE
Lo
wH
igh
•CO
MP
ET
EN
CIA
TÉ
CN
ICA
LIKELY IMPACT OF MARGINAL IMPROVEMENT
IND
EX
OF
IM
PO
RTA
NC
E
( II)
Action Planning Grid
MOSTER System : Action Plan for Reducing Dissatisfaction and Enhancing Delight
Measuring Modeling Mentoring
The MOSTER System
As Business Process Improvement Tool
Measuring Modeling Mentoring
Minilab reliability
0
10
20
30
40
50
Dec 01 Jun 02 Dec 02 Apr-03 Jun-03 Sep-03 Dec-03
Quality of picture
0
10
20
30
40
50
Dec 01 Jun 02 Dec 02 Apr-03 Jun-03 Sep-03 Dec-03
Increasing proportion of
Delighted Customers
Minilab reliability
0
10
20
30
40
50
Dec 01 Jun 02 Dec 02 Apr-03 Jun-03 Sep-03 Dec-03
Quality of picture
0
10
20
30
40
50
Dec 01 Jun 02 Dec 02 Apr-03 Jun-03 Sep-03 Dec-03
Decreasing proportion of
Dissatisfied Customers
After consecutive rounds, this is what happens…….
Measuring Modeling Mentoring
The MOSTER System
As Buyer Behavior Model
Measuring Modeling Mentoring
HYPOTHESIS
Satisfaction with shopping experience
influence the `walk-in’ customers’ chances
of buying during the visit
:
Measuring Modeling Mentoring
(Y)= Overall MOSTER
Satisfaction Index (MSI)
We built a model using Logistic Regression where
Independent variables (X): = Overall MOSTER Satisfaction Index (MSI) for each Respondent
MOSTER System : Provides linkage with Buyer Behavior parameters
1= Walk in
customer buys
0=Walk in customer
DOES NOT buy
Dependent Variable Y is dichotomous
Xi
Measuring Modeling Mentoring
Goodness-of-fit testChi-
squareDegrees of freedom
Significance
Hosmer and Lemeshow Test 3.52 8 0.90
Model Summary βStandard
ErrorExp(B)
Moster Satisfaction Index 0.78 0.05 2.18
Constant -3.65 0.32
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0
pro
ba
bility
(Y
= 1
)
X = Moster Satisfaction Index
•Point of Equal
Opportunity
MOSTER System : MSI provides the key to increase Conversion at Counter
Measuring Modeling Mentoring
Thank you for your time
Metric Global
Metric Consultancy Limited91, Florida Estate, Mundhava , Pune 411 036
Phone : + 91 20 2682 3008 Fax : 91 20 2681 1567
Email : [email protected]
Website : www.metricconsultancy.com