casro deck
TRANSCRIPT
Voice of the CustomerValue Added – What Does It Mean?
2008 CASRO Client Conference
Michael MatzaWaMu Service Excellence GroupJune 3, 2008
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Agenda
• Washington Mutual
– History and corporate evolution
• Voice of the Customer and Loyalty System (VOC)
– Framework to analyze data and identify operational improvements that drive customer loyalty
• VOC in Action
– Case studies and examples
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WaMu Overview – A Powerful Distribution Franchise
Presence in 18 of 30 Largest Metropolitan Areas
Retail Banking and Mortgage Lending
2,261 Retail store in 15 states
4,965 owned and branded ATMs
160 Home Loan Centers* in 15 States
Wholesale* and Consumer Direct Lending in 49 States
Multi-Family Lending through 44 offices in 18 markets
As of 3/31/08
*Recently announced plans to close all Home Loan Centers and discontinue Wholesale operations.
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WaMu Recognized for Service Quality…
• Business Week “Customer Service Elite”
– 2007 Top 25 customer service leaders in US
• JD Power and Associates
– Ranked #1 in West and Midwest: 2007 Retail Banking Customer Satisfaction Study
• Reputation Institute
– Top 50 Corporate Reputations in US
…and continually working to improve
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Voice of the Customer and Loyalty System (VOC)
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WaMu – Voice of the CustomerThe Opportunity
• High customer expectations necessitated top-notch delivery of service at peak efficiency
– Actual customer experience, both product features and service interactions, must meet or exceed brand positioning
– Managers must have data on „Critical-to-Customer‟ (CTC) service criteria to drive operational improvement
• Business Process Excellence Solution
– Actionable feedback based on customer or employee experiences across the enterprise
– A framework to prioritize critical changes that drive customer loyalty
– Voice of the Customer (VOC)
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Voice of the Customer (VOC)The Solution
The VOC system utilizes customer insights to identify and drive improved processes:
– Deliver and utilize VOC data and information to discover, analyze, trend, and recommend service improvements to increase ability to execute superior service processes and experiences as one company
– Consult with and educate business lines and enablers on VOC implications to service delivery and profitability
– Design and deliver VOC-based Service Excellence initiatives (e.g., best practices, problem resolution/service recovery strategies, and feedback/performance programs)
Provide framework to understand & use data to create meaningful customer experiences that build
strong customer relationships and loyalty.
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Integrated set of tools provide insights to measure, manage, and effectively improve WaMu’s customer experience.
Measures all WaMu business lines
Measures people, process, product, price, and presentation
Measures contact and steady state (non-contact) touch points
Provides a
Comprehensive Viewof the customer’s experience
Provides system to compare and evaluate performance across business lines and business units
Provides system to benchmark WaMu performance with competitors
Allows for
Internal and External Benchmarks
for management insight
Provides actionable information by highlighting service thresholds that support desired customer satisfaction and loyalty levels. These thresholds can be used to drive improvement targets specific to operations
Includes
Operations or Service-Level Diagnosticsreported by the customer
Enables WaMu to prioritize performance improvement actions based on what will have the greatest impact on customer satisfaction and loyalty
Provides
Priorities for Actionbased on what is important to
the customer
Provides an understanding of who, what, when, and how the transaction/contact was conducted
Captures feedback close to the transaction/contact to ensure fresh recollection by the customer
Focuses on
Specific Eventsof the experience
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VOC Online Reporting
• Key Features
– Drill-down by business
– Index scores
– Benchmark
– Weighted attributes
– Breakpoint analysis
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Voice of the Customer and Loyalty System In Action
Linkage Analysis
Key Business Drivers
Customer Impact Assessment
Project Prioritization
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VOC in ActionWhat We Wanted to Find Out
STRATEGIC
• Which customer behaviors do we currently influence through service experiences?
– Direction
– Magnitude
– Financial implications
• How can we demonstrate a return on service that is competitive with other investments?
TACTICAL
• At a project level, how do “ripple effects” to customers and employees change the expected project outcome?
– Attitudes and intentions
– Behaviors
– Financial implications
Linkage Analysis Customer Impact Assessment
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Path to Profitable Service (In Theory)
• Branch
• Phone
• Web
• Satisfaction
• Willingness to recommend
• Intention to remain/repurchase
• Intention to switch from competitor
• Retention
• Referrals
• More products purchased
• Higher balances
• Lower cost channel usage
• Fewer complaints/ escalations
• More positive/ less negative word-of-mouth
Service Experience
Attitudes/Intentions
Behaviors $
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Does Satisfaction = Attrition?
Delighted Neutral Dissatisfied
Attrit
ion
Le
ve
l
Satisfaction Level vs. Household Attrition 3 Months After Survey
1.5 times higher
2.7 times higher
Yes
• Look at categories instead of averages
• The effect “wears off” quickly
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Does Satisfaction = Purchasing?
Surveyed Month 1 Month 2 Month 3 Month 4
Ch
an
ge i
n n
um
ber
of
acc
ou
nts
Delighted Neutral Dissatisfied
Satisfaction Level vs. Number of Accounts 3 Months Following Survey
No
• Delighted customers do not “reward” with more business or higher balances
• Dissatisfied customers may “punish” by dropping accounts
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Does Satisfaction = Acquisition?
Delighted Neutral Dissatisfied
Satisfaction Level vs. # Referrals Made Within the Last Year
3.2 times more
1.75 times more
Estimated conversion rate of referrals to new households = 2.5% - 3%
Yes
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Does Service Climate = Employee Retention?
A working climate that supports service quality also creates measurable financial benefits.
6-month Teller and Rep Attrition by Overall Service
Climate Rating
Teller Sales Rep
6-m
on
th a
ttri
tio
n r
ate
1-6 Rating
7-10 Rating
1.6 times higher1.8 times higher
Yes
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Customer Impact Assessment (CIA)
• CIA helps answer these questions– Which customers/employees are likely to be affected?
– How will their experience be different from today?
– What specific customer/employee behaviors and attitudes might change?
– How are those changes to be measured?
– What effect on revenue or cost will result?
• CIA program consists of– On-line orientation course for executives and project sponsors
– Full-day training course for project managers
– Tools for hypothesis-development and impact calculation
– Company data source directory
– Project prioritization guidelines
– CIA categories included in cost-benefit calculation
A systematic approach for estimating and measuring project “ripple effects”
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Some CIA case studies . . .
1. Emergency Card Replacement – Cost-saving project
• CIA reveals unexpected revenues
2. Back-office Consolidation – Efficiency project
• CIA mitigates expected negative impacts to customer and employee satisfaction
3. Teller Training – Service Climate
• CIA reverses cost savings initiative
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Case Study 1: Emergency Card Replacement
• Summary
– As part of a service-level agreement with a new vendor, WaMu introduced a new process for emergency replacement of debit cards
• Primary objectives
– Reduce cycle time to meet vendor requirements
– Reduce cost of replacement through process efficiency improvements
• Hypothesized “ripple effects”
– Lower cost to serve through fewer calls and escalations
– Greater fee revenue by providing card more quickly
– Less negative and more positive word-of-mouth
– Increased customer satisfaction
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What CIA Uncovered
• Decreased cost to serve
– Savings of ~$12 per instance was achieved through reducing average number of customer contacts required to get card
– Savings of ~$1 per instance from fewer teller (rather than ATM) transactions
• Increased revenue
– ~$10 of lost fee income/instance was regained as a result of faster debit card replacement
• Attitudes and intentions
– Increased customer satisfaction
– Increased likelihood to recommend
– Improved reputation relative to competitors
– Improved word of mouth
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Impact to Attitudes/Intentions
Distribution of Customer Satisfaction Ratings
Una
ccep
tabl
e 2 3 4 5 6 7 8 9
Out
stan
ding
% o
f C
usto
mers
Before After
Critical incident results in bi-modal satisfaction curve: they love us or hate us
0
2
4
6
8
10
12
14
Unacc
eptable 2 3 4 5 6 7 8 9
Outs
tandin
g
Satisfaction with Emergency Card Replacement Experience
Nu
mb
er
of
Pe
op
le Y
ou
To
ld A
bo
ut
Yo
ur
Ex
pe
rie
nce
Positive
Neutral/Mixed
Negative
Dissatisfied customers told 3 times more people about the experience than delighted customers
Impact of ECR Satisfaction on Word-of-Mouth
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Case Study 2:Back-office Consolidation
• Summary
– Several loan fulfillment centers were closed; one new center was opened; existing loan business was migrated to remaining centers.
• Primary objectives
– Increase operational efficiency
– Decrease labor costs
• CIA objective
– Monitor changes in customer and loan officer satisfaction
– Mitigate possible negative satisfaction impacts
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Mitigating Customer Impact
• Existing front-line satisfaction survey was ramped up from monthly to weekly monitoring
• Satisfaction threshold levels agreed on for triggering action
• Operational task force monitored satisfaction levels over 4-month period until transition reached steady-state C11
Ind
ivid
ua
l V
alu
e
Oct W
eek 4
Oct W
eek 2
Sept W
eek 4
Sept W
eek 2
Aug W
eek 5
Aug Wee
k 3
Aug W
eek 1
July
Wee
k 3
July
Wee
k 1
June
Wee
k 3
June
Wee
k 1
May
Wee
k 3
May
Wee
k 1
8.50
8.25
8.00
7.75
7.50
_X=8.154
UCL=8.508
LCL=7.799
Before After
1
All Fulfillment Centers Weekly OSAT
Satisfaction levels improved during transition period
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Case Study 3:Teller Training – Service Climate
• Summary
– Overall Service Climate ratings among one department‟s employees dropped significantly over 6-month period, from 6.56 to 5.98 (10-pt scale)
- Out of 35 questions on the survey, the largest decrease was “Management encourages me to take training” (7.0 to 6.12)
• Reason
- Management had cancelled training as a cost reduction effort
• Result
– Statistical analysis shows that employee satisfaction ratings are strongly correlated to employee attrition
• Attrition among exempt employees is nearly twice as high if Service Climate rating is lower than 7 out of 10
Short term cost reduction outweighed by the cost to replace/retrain/motivate staff
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Cost of Low Satisfaction
• Low Service Climate Rating = Higher Teller and PFR turnover
• Direct correlation of multi-million dollar save to the business line in replacement costs for tellers and PFRs
6-month Teller and PFR Turnover by
Overall Service Climate Rating
Teller PFR
6-m
on
th t
urn
over
rate
1 - 6 Rating 7 - 10 Rating
.
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ConclusionWaMu “Voice of the Customer” System in Action
• Initiating cross-functional collaboration
• Facilitating the use of VOC to align initiatives
• Assessing organizational support for providing effective service
• Providing on-going analysis of Critical-to-Customer (CTC) priorities to anticipate and monitor the effects of changes in service
VOC analytics aligned with business lines enables us to quantify opportunities and risks in efficiency efforts by:
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Questions?
Thank You
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Michael Matza, SVPService Excellence