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This Green Belt presentation shows the valuable role that Lean Six Sigma can play within Marketing to make data-driven decisions that lead to increased revenue, ROI, and stronger relationships.
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Cathy Lumsden, Green Belt CandidateJanuary 11, 2013
Project Charter Opportunity for Improvement (OFI): The company is losing market share by 30% approximately $25 million quarterly because it is not utilizing Social Media to enhance customer service. Customers are angry, frustrated and taking their business elsewhere.
◦ Critical to Quality (CTQ) = Prevent loss of market share via a Social Media plan
Goal Statement: The study will illustrate how the implementation of a Social Media campaign helped the company increase its Revenue, ROI, and Customer Retention through the implementation of Lean Six Sigma.
◦ The company is now attuned to the Voice of the Customer and is competitive.Scope: A large multinational corporation serves as the model for the review. Examined are the 2007 – 2012 quarterly results. Study Metrics: Customer service complaints are compared to revenue loss, customer acquisitions, and customer retentions.Business Case and Team: Identify best Social Media options for Customer Service that will generate in increase in revenue of 65% and a decrease in customer complaints by 85%.
◦ Team Lead: Cathy Lumsden – Green Belt Tyler Slone – Executive Sponsor Olivia Turner – Black Belt Jackson Taylor – Project Champion Charlotte Hall – MBB/Mentor Levi Carlton - Recorder
Define Phase
Define Phase
Voice of the Customer
Define Phase
Eight Wastes
Measure Phase
Gather Customer Survey Service Results - Step 1
Document Customer Survey Service. Results - Step 2
Analyze Customer Service Survey Results - Step 3
Recommend Customer Service Solutions Plan - Step 4
Implement Social Media Plan - Step 5
SIPOC DIAGRAM
Measure Phase
1.Consider: What brands/products do consumers have in mind as they contemplate a purchase?2.Evaluate: Consumers gather information to narrow their choices.3.Buy: Consumers decide on a brand and buy it.4.Post-purchase: Consumers reflect on the buying experience, creating expectations/considerations that will inform a subsequent purchase5.Advocate: Consumers tell others about the product or service they bought.
Process Mapping – Customer Decision Journey
Measure Phase
Current Value Stream Map
Pareto Analysis
Measure Phase
Scatter Diagrams
Measure Phase
2
3
4
5
6
7
8
# C
AL
LS
15 17.5 20 22.5 25
ACCOUNT
Scatterplot Matrix SOCIALMEDIA IMPLEMENTATION =new
20
25
30
35
40
45
50
# C
AL
LS
2 4 6 8 10 12
ACCOUNT
Scatterplot Matrix SOCIALMEDIA IMPLEMENTATION =old
The Social Media plan implementation enabled the Call Center to be more responsive to customer issues. The Call Center became proactive in generating revenue and increasing ROI. Web site usage increased. Complaints dealing with service issues, tech support, and delivery delays decreased
Social Media Distribution Charts – Measures of Dispersion
Measure Phase
30000
40000
50000
60000
70000
80000
100.0%
99.5%
97.5%
90.0%
75.0%
50.0%
25.0%
10.0%
2.5%
0.5%
0.0%
maximum
quartile
median
quartile
minimum
80000
80000
80000
80000
73750
65250
42500
36350
35000
35000
35000
Quantiles
MeanStd DevStd Err MeanUpper 95% MeanLower 95% MeanN
60416.66716091.829
4645.31170640.92750192.406
12
Summary Statistics
Customer Complaints
$80,000,000.00
$100,000,000.00
$120,000,000.00
$140,000,000.00
$160,000,000.00
$180,000,000.00
$200,000,000.00
$220,000,000.00
100.0%99.5%97.5%90.0%75.0%50.0%25.0%10.0%2.5%0.5%0.0%
maximum
quartilemedianquartile
minimum
2e+82e+82e+82e+8
1.84e+81.6e+8
1.11e+88.95e+7
8.5e+78.5e+78.5e+7
Quantiles
MeanStd DevStd Err MeanUpper 95% MeanLower 95% MeanN
1495833334081322911781765
175514822123651845
12
Summary Statistics
Revenue in Millions
Distributions social media implementation=old
0
10000
20000
30000
40000
50000
60000
70000
80000
100.0%
99.5%
97.5%
90.0%
75.0%
50.0%
25.0%
10.0%
2.5%
0.5%
0.0%
maximum
quartile
median
quartile
minimum
70000
70000
70000
67000
52500
25000
6250
2450
2000
2000
2000
Quantiles
MeanStd DevStd Err MeanUpper 95% MeanLower 95% MeanN
2925023625.3916820.062944260.85714239.143
12
Summary Statistics
Customer Complaints
$100,000,000.00
$200,000,000.00
$300,000,000.00
$400,000,000.00
$500,000,000.00
$600,000,000.00
100.0%99.5%97.5%90.0%75.0%50.0%25.0%10.0%2.5%0.5%0.0%
maximum
quartilemedianquartile
minimum
5.75e+85.75e+85.75e+85.38e+83.25e+8
1.8e+81.28e+81.05e+8
1e+81e+81e+8
Quantiles
MeanStd DevStd Err MeanUpper 95% MeanLower 95% MeanN
234583333148851029
42969591329158765140007902
12
Summary Statistics
Revenue in Millions
Distributions social media implementation=new
These two sets of distribution charts illustrate the positive impact of Social Media upon Revenue. There is a direct correlation with the decrease in customer complaints to the increase in revenue in millions.
Maximizing ROI
Analyze Phase
Analyze Phase
Cause-Effect or Ishikawa Diagram
Developer needs to be changed
Customer Service
Poor Customer Service Negatively Impacts Revenue, ROI, and Relationship Building
Manpower
Environment
MachineryMaterials
Cloud Can't Support Needs
Emails
Web SitesHigh Turnover Rate
Lack Sophisticated Environment to Support 24/7 Customer Service Needs
Lack of Std Op Procedures
MethodsMeasurements
Number of ComplaintsLabor Intensive
Lost Customers Workers align with customers at
different speeds
Fishbone Diagram
Validating MeasurementAnalyze Phase
2
2.5
3
3.5
4
4.5
Aver
age
of R
even
ue G
ain
LCL
UCL
Average = 3.2673
0 45 100
130
169
199
255
300
341
366
402
441
465
516
543
599
648
700
740
796
852
908
1007
1306
2000 57 95 13
5
158
183
210
237
256
276
305
330
353
380
413
454
488
518
540
569
602
635
675
737
775
823
890
946
1037
1177
1307
No Yes
Revenue Impact / # Complaints per Customer Account
0
0.5
1
1.5
2
2.5
Rang
e of
Rev
enue
Gai
n
LCL
UCL
Average Range
0 45 100
130
169
199
255
300
341
366
402
441
465
516
543
599
648
700
740
796
852
908
1007
1306
2000 57 95 13
5
158
183
210
237
256
276
305
330
353
380
413
454
488
518
540
569
602
635
675
737
775
823
890
946
1037
1177
1307
No Yes
Revenue Impact / # Complaints per Customer Account
2
2.5
3
3.5
4
Mea
n (R
even
ue G
ain)
0
30 63 90 115
135
155
172
194
217
237
254
271
291
311
328
347
366
384
410
435
455
473
495
520
537
554
574
599
625
646
671
703
733
764
787
822
860
893
932
959
1019
1116
1210
1312
1675
# Complaints per Customer Account
NoYes
RevenueImpact
Average Chart
Range Chart
Parallelism Plot - Revenue Chart
Improve Phase
Failure Mode and Effects Analysis• Improve Process Flow and Eliminate Waste
– Waiting (delivery of product vs. promised delivery date), over-processing (hard sale), over-production (customer complaints), defects (technical support), transport (delays), inventory (product) and motion (duplicate calls by staff)
Future Value Stream Mapping
Improve Phase
Customer Contact
WebCall Center Face to Face Tech Support
YES Yes Yes Yes
Customer Routed to
Appropriate Sales Channel
Customer Routed to Appropriate Sales Channel
Customer Appreciates Advice and Buys Product
Successful implementation &
knowledge transfer
Increase in Revenue and ROI
Analyst Ratings Increase
Customer Peer Ratings Increase
Sustaining and Extending ROI
Improve Phase
IMR Chart
Control Phase
0
20000
40000
60000
80000
100000
Cus
tom
er C
ompl
aint
s
old new20
07 Q
TR
2
2007
QT
R4
2008
QT
R2
2008
QT
R4
2009
QT
R2
2009
QT
R4
2010
QT
R2
2010
QT
R4
2011
QT
R2
2011
QT
R4
2012
QT
R2
2012
QT
R4
Quarters
oldnew
Phase49540.25
LCL
12814.52
LCL60416.67
Avg
29250
Avg71293.09
UCL
45685.48
UCL
Phase Limits
Individual Measurement of Customer Complaints
$0.00
$100,000,000.00
$200,000,000.00
$300,000,000.00
$400,000,000.00
$500,000,000.00
$600,000,000.00
$700,000,000.00
Rev
enue
in M
illio
ns
old new
2007
QT
R2
2007
QT
R4
2008
QT
R2
2008
QT
R4
2009
QT
R2
2009
QT
R4
2010
QT
R2
2010
QT
R4
2011
QT
R2
2011
QT
R4
2012
QT
R2
2012
QT
R4
Quarters
oldnew
Phase1.218e+8
LCL
1.198e+8
LCL1.496e+8
Avg
2.346e+8
Avg1.774e+8
UCL
3.494e+8
UCL
Phase Limits
Individual Measurement of Revenue in Millions
Control Chart
As customer complaints decrease , revenue increases
Note: Focus is not just on customer complaints incorporates costs of customer complaints – There will always be some customer complaints but they do not always impact revenue.
The Social Media Plan is implemented in 2010 QTR 1. These charts show the impact of the plan upon revenue.
Xbar and R Chart of Category (Service, Web, Tech Support, Delivery, and Upgrades)
Control Phase
XBar & R chart of Category
Ave
rag
e(C
ate
gory)
Range(C
ate
gory)
Cust Service
Delivery
New Purchase
Price
Tech Support
Upgrade
Cust Service
Delivery
New Purchase
Price
Tech Support
Upgrade
new oldSOCIAL MEDIA IMPLEMENTATION
AverageRange
Pointsplotted
.
.
LCL2.294118
.
Avg..
UCLRangeRange
LimitsSigma
.
.
Sample Size
Category Limit Summaries
Extending ROI
Control Phase
Improvements through Analysis of Customer Service Social Media Programs
1) Seeking an actual response from the company about a service issue – 50% increase in responsiveness
2) Praising the company for a great service experience – 48% increase
3) Sharing information by customers about their positive service experience with a wider audience – 47% increase
4) Venting frustration about a poor service experience – 46% decrease
5) Asking other users how to have better service experiences – 43% increase
Summarization of Lean Six Sigma Project Findings