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Insurance PoliciesSales
2
Project Background, cont.– Financing system
• Company sells financing and insurance to home owners through independent dealers
Financial Services
CompanyDealers Customer
Loan/insurance Loan/insurance
3
Six Sigma Project– Company decided to initiate a Six Sigma project
– Two issues for consideration:
• Improve the accuracy rate—the rate at which the policy and loan package accurately represent what the customer specified—primary focus
• Increase the number of policies sold - some loans processed without attempting to sell accompanying insurance policy—secondary focus— potential future project
4
Charter– Purpose
• Problem/Opportunity Statement: The division produces 17% of all insurance policies with inaccuracies as compared to customer specifications.
• Goal Statement: Improve set up accuracy rate from current rate of 83% to 99%.
– Importance
• Business Case: Improving the accuracy will:
– Increase customer satisfaction by meeting specifications—this will translate into increased revenue because of more policies sold and more referral business
– Increase efficiency by eliminating rework and non-value added activities from the process—this will translate into decreased costs
• Total estimated annualized project impact = $525,000
5
Map the ProcessSIPOC Model
Loan process
Insurancesold
Policy info to Loan
Processing
Documentrequest
Documentsprepared
Loan closed/policy set up
Suppliers
Customer/Dealer-Agent
Dealer-Agent
Financial ServicesLoan Processor
Inputs
Applicationinformation
Insuranceapplication
Loan/insurancepackage documents
Process Outputs
Loan proceeds
Insurancepolicy
Insurance commission
Revenue
Customers
Customer
Customer
Dealer-Agent
Financial ServicesLoan/InsuranceDivision
6
Customer Voices
I want my insurance coverageto include natural disaster and flood insurance
I want to be able to finance my insurance with my loan
I don’t want my down payment to increase becauseI am financing insurance
Reworking Policies is eating up time
Errors in policies and closing documents are creating Unhappy customers
I never agreed to finance insurance, and it shows up on my loan agreements
The insurance raised my payment by more thanI was expecting
My down payment went up and I was not expecting that
I did not realize my payment would go up by $35
The closing package was already printed whenI noticed the increased payment
I want the insurance on my loan to reflect whatthe agent sold me
I got a better deal from another companyThe insurance raised the payment too much
My down payment went up and I was never told
I can get a better deal somewhere else
7
Customer Requirements KJWhat are the Key Customer Requirements for purchasing insurance?
My insurance coverage includes natural disaster and flood insurance only when required
I am able to finance my insurance in the manner I desire
The coverage I receive is the coverage I need
I want to know that this is the best deal I can get with this company
This company offers the best value compared to all other options
This company provides the service with minimum rework
I really believe that price incurred is worth the value I receive
The Paperwork accurately reflects what was promised and sold
I don’t have to worry about changes that are
wrong or sudden
I am comfortable with my understanding of
the product , cost, and implications on
accepting insurance
Errors in terms and payments are noted before the closing package is to be signed
Changes in terms and payments are identified and agreed to ahead of changes
being implemented
Insurance raises are tied to an attributable reason and notice is given in advance
The insurance on the loan reflects what my agent sold me
My payments are reflected in the manner that I agreed to
Initial down payment expected matches what the company
communicated
My expectations for payment and potential changes match
what the company actually does
My understanding of insurance options and coverage is complete
My understanding of insurance implications is
complete
The customer feels that they understand and are comfortable with the insurance and believe the value created by our company is real
8
Critical To Quality Metrics
Customer Requirements Quality Metrics
Paperwork Accurately reflectsWhat was sold
Coverage matches expectation
Financing matches expectation
Deductibles match expectation
Customer understands policy options
Dealer answers questions in first meeting
Coverage receivedCoverage matches expectation
Best value Mode of financing matches expectationPercent Completion right first time
9
Project Components– Data Collection Plan
– Process Flow Diagrams
– Baseline Data on Defects
– Stratified Data Charts
– Calculate Process Sigma
10
Key Questions– What does the current detailed process look like?
– Does the defect rate show trends over time?
– Does the defect rate depend on the day of the month?
– What are the types of defects?
– Do any regions (clusters of dealers) account for the majority of defects? (80/20 Pareto principle)
– Do any agents account for the majority of defects?
11
Process Flow
Loan process
Insurancesold
Policy info to Loan
Processing
Documentrequest
Documentsprepared
Loan closed/policy set up
SIPOC Model
Insurance SoldThrough Dealer
Potential “missed
policy” if not caught
prior to loan signing
Potential point where “inaccurate policy” could occur
Potential points where
“inaccurate policy” could
occur
Complete application
Customer Dealer-Agent
FS Loan Processor
Sends application and docs to processor
Checks agent remarks in
system
Insurance sold by agent?
Documents prepared with
insurance
Loan documents
signed
Loan funded w/o insurance
Change in collateral since
application
?Supplies new numbers
Accept new
terms?Update screens
Yes
No
Yes
Yes
Loan funded w/ insurance
Loan/insurance documents
signed
Documents prepared without
insurance
No
Loan Process
FS Agent
Contact Dealer-Agent
No
12
Process Flow
Loan process
Insurancesold
Policy info to Loan
Processing
Documentrequest
Documentsprepared
Loan closed/policy set up
SIPOC Model
Changes madeafter the sale
Potential impact of “inaccurate policy”
Potential point where “inaccurate policy” could occur
FS Agent CustomerDealer-Agent
Contacts customer
Updates screens
Calls dealer
Calls FS/Agent
Calls FS/Agent
Customer wants to change
insurance
Change terms/coverage
and requote
Accepts new
insurance
?
Customer wants to cancel
insurance
Insurance sold
Updates screens
Insurance not sold
No
Yes
No
Yes
Customer wants to cancel
insurance
Yes
No
Changes After Sale
Customer wants to change
insurance
13
Others
Repo-sold as 5 years
No agencyremarks
Licensed Dealer
Customer changed term
Notes different
Agencychanged
Not on loan assold
81111171719221523.24.34.36.56.57.58.659.1
100.096.892.588.281.775.367.759.1
2702402101801501209060300
100
80
60
40
20
0
DefectCount
PercentCum %
Perc
ent
Coun
t
INACCURATE POLICIESPARETO CHART OF DEFECTS ON
Data collected from May 2001
Types of Defects?– 60% of “Inaccurate Policies” due to the paperwork not
reflecting what was initially sold to the customer
14
Others
Repo-soldas5years
Noagencyrema
rks
LicensedDeale
r
Customercha
ngedterm
Notesdifferent
Agencychang
ed
Not onloanasso
ld
81111171719221523.24.34.36.56.57.58.659.1
100.096.892.588.281.775.367.759.1
2702402101801501209060300
100
80
60
40
20
0
Defect
CountPercentCum %
Per
cent
Cou
nt
INACCURATE POLICIES
PARETO CHART OF DEFECTS ON
Data collected from May 2001
Types of Defects?
F i n an c i ng
D educ ta b le s
Cove rage
Ot he r
105 31 10 669.1 20.4 6.6 3.969.1 89.5 96.1 100.0
0
50
100
0
20
40
60
80
100
Defect
CountPercentCum %
Per
cent
Cou
nt
PARETO CHART OF DEFECTS “NOT ON LOAN AS SOLD”
Data collected from 05/01/01 to 05/31/01
150
– 69% of “not on loan as sold” due to errors in “financing terms”
15
Difference by Region?– Pareto Principle does not hold…apparently no significant
different between regions
Others43403863259078239787747360218072527550302827209557537616
1233344555666666888910101112121518181920
51112222222222233334445567778
1009594939290878583817977757371696663605753494540352922158
250
200
150
100
50
0
100
80
60
40
20
0
Region#Count
PercentCum %
Perc
ent
Coun
t
Pareto Chart of Inaccurate Policies by Region
Data from May 2001
16
Customer Impression– Telephone survey to a random sample of 150 of the 1775
total loans written in May, 2001
– Survey questions:
• “Was the agent able to provide information and answer all of your questions in the first meeting?”
• “If no, approximately how many times did you need to contact the agent in order to resolve any questions you had?”
• “If you could make the loan application and approval process better, what would that mean to you?”
17
Customer Impression, cont.
Telephone Survey Question #1 - Did Dealer-Agent provide information/answers in first meeting?
0
10
20
30
40
50
60
70
80
90
Yes No No response
Category of reponse
Num
ber o
f res
pons
es
Telephone Survey Question #2 - How many times did you have to contact the Dealer-Agent to resolve your questions?
0
5
10
15
20
25
2 3 4 or more
Number of contacts made
Num
ber o
f res
pons
es
– 31 out of 114 responses (27%) could not get the information at the first meeting
– Of those 31, 23 resolved the questions during the second contact
18
Customer Impression, cont.
Telephone survey Question #3 - How to improve the process?
0
10
20
30
40
50
60
70
better terms faster process more knowledgeableagent
more self-service
Category
Num
ber o
f res
pons
es
Addressed bythis project
Future project
Outside of scope
19
Difference by Agent?– No significant difference agent to agent
– Every agent, overall, seems to produce defects at a rate of 15% of total written
0.3
0.2
0.1
0.0
Pro
porti
on
31771
31571
31511
31401
3131
531
314
31145
3111
431
080
30941
3085
3
30243
30035
3002
2
22992
22118
21469
6105
1966Agent ID
over Total Policies Written by AgentP Chart for Proportion of Policies with Errors
P=0.1454
UCL=0.2643
LCL=0.02639
20
Missed Policies
Missed in Process
Customer c
ancelled
No remarks
Dealer cancelled
122 78 64 1843.3 27.7 22.7 6.4 43.3 70.9 93.6 100.0
0
100
200
0
20
40
60
80
100
Defect
CountPercentCum %
Per
cent
Cou
nt
PARETO CHART OF DEFECTS ON MISSED POLICIES
Data collected from 03/01/01 to 05/23/01
– 70% of “Missed Policies” missed by dealer in the loan process or cancelled after the sale
21
Tree Diagram
Inaccurate financing
terms set up on loans
sold
Information entered
incorrectly by Loan
Processor
Dealer explained incorrectly
Application filled out
incorrectly
Customer change during
the process not entered
into the system
Information passed
between FS Agent and
Dealer inaccurate
FS Agent explained incorrectly
Not aware of program
Not aware of updated financing terms
Directions unclear
Dealer not aware of program
Procedures for updating screens do not exist
Too many applications in process at the same
time
Agent remark screen not filled out
Procedures for updating screens do not exist
Too many applications in process at the same
time
Procedures for updating screens do not exist
Different knowledge base for FS and Dealer
Agent
No training provided
No standard communication of
updates
High turnover of Dealer-Agents
Long cycle time to process
Procedures for updating screens do not exist
No training provided
Long cycle time to process
Unclear who should train the Dealer Agents
FS Agents viewed as experts
Potential Causes– Tree
Diagram constructed to investigate…why financing terms inaccurate?
Suspected Causes
22
– The relationship between cycle time and defects was also analyzed using a control chart
Verification of Causes, cont.
50403020100
100
50
0
Observation Number
Indi
vidu
al V
alue
I Chart - Number of days from sale to funding
1
Mean=36.88
UCL=86.53
LCL=-12.77
Non-Defect Defect
UCL=38.08
Mean=13.48
LCL=-11.12
23
Redesigned Process• Reduced cycle time
– If customer not offered insurance initially, FS Loan Processor calls Dealer direct instead of calling FS Agent
– FS Loan Processors switched to a mind-set of processing an application when it came in instead of batching applications to process together
• Reduced cycle time = less applications in process at one time = fewer defects
• Reduced cycle time = less time during which changes can occur = fewer defects
Complete application
CustomerDealer/Agent
FS Processor
Sends application and docs to processor
Checks agent remarks in
system
Customer offered
insurance
?
Documents prepared with
insurance
Loan documents
signed
Loan funded without insurance
Update screens
Loan funded with insurance
Loan/insurancedocuments
signed
Calls Dealer
Loan Process
Call customer
Yes
Customer buys
insurance
?
No
Agent attempts to contact customer
Agent updates screens Yes
No
24
Failure Modes & Effects Analysis– Recommended Actions
• Small group training for dealers
• Ongoing training and communication for dealers
• Ongoing communication for Regional Managers
• Periodic memos on updating screens
• Auto reminder for Processors
FMEA Team: Dealer Reps and Loan Processors (Revised):
FMEA PROCESS RESULTS ACTION
Item / Process
Step
Potential Failure Mode
Potential Effects of
Failure Seve
rity Potential
Causes of Failure
Occ
urre
nce
Current Controls
Det
ectio
n
RPN
Recom-mended Actions
Respon-sibility and
Comple-tion Target
Date
Action Taken
Seve
rity
Occ
urre
nce
Det
ectio
n
RPN
Sends applic-ation to LP
WrongInfo 10
Training not Successful andnot continuous
10Doc's Out
Report 1 100Smaller
Staff and Training
RegionalManagers/Dealer
Smaller Team
Completed 8/01/01
10 5 1 50
Sends applic-ation to LP
5 NewDealer 8 Doc's Out
Report1 40 On Going
TrainingRegionalManagers
On Going Training
5 4 1 20
Document Processing
Processor MakesError
Low customersatisfaction/Lost revenue
5No screen
Updateprocedures
2Doc's Out
Report 1 10Periodicmemos onscreen updates
LoanSupervisor/
Procedure Change 5 2 1 10
ContactsCustomer
Processordoes not follow up onmissed call
5 No followup procedure
6Doc's Out
Report 1 30 LoanSupervisor
Procedure Change 5 2 1 10
Low customersatisfaction/Lost revenue
Low customersatisfaction/Lost revenue
Auto reminderto Processor
Wronginfo Low customer
satisfaction/Lost revenue
25
Results– May Defect Rate = 15%
– June Defect Rate = 10%
– July Defect Rate = 9%
– August Defect Rate = 6%
0.3
0.2
0.1
0.0
Pro
porti
on
8/31
/200
18/
30/2
001
8/29
/200
18/
28/2
001
8/27
/200
18/
24/2
001
8/23
/200
18/
22/2
001
8/21
/200
18/
20/2
001
8/17
/200
18/
16/2
001
8/15
/200
18/
14/2
001
8/13
/200
18/
10/2
001
8/9/
2001
8/8/
2001
8/7/
2001
8/6/
2001
8/3/
2001
8/2/
2001
8/1/
2001
5/31
/200
15/
30/2
001
5/29
/200
15/
28/2
001
5/25
/200
15/
24/2
001
5/23
/200
15/
22/2
001
5/21
/200
15/
18/2
001
5/17
/200
15/
16/2
001
5/15
/200
15/
14/2
001
5/11
/200
15/
10/2
001
5/9/
2001
5/8/
2001
5/7/
2001
5/4/
2001
5/3/
2001
5/2/
2001
5/1/
2001Date
Total Policies Written by DayP Chart for Proportion of Policies with Errors over
P=0.05995
UCL=0.1439
LCL=0
Before After
26
Updated Financials
– Savings from project
• Increased customer satisfaction resulting in increased revenue
• Decreased rework and increased efficiency
– Total savings
• Dollar impact
= $478,000
= $160,300
= $638,300