SlideShare a Scribd company logo
1 of 39
PABIT Solutions Inc.
Introduction to Process Improvement- Part II
MGS 618 – Advanced Process Analysis
Chhaya Bodhale
Komal Tirmal
Shubham Garg
Shruti Narkhede
Priyadarsini Kannan Krishnamachariar
05/14/2017
DEFINE
26/8/2017
Project Outline
3
 Company Introduction:
BAPIT solutions is company whose net worth is $10 million per
year. Chair of the CEO is held by Pamela Anne Bronkowski.
Company has 5 centers for company operations across USA, out of
which 2 have all departments including product development, sales
and marketing, software engineering, accounting and shipping etc.
The company also has 3 are call centers for operations like
customer sales, Onboarding, customer servicing and customer
complaints. Location of the sites is as follows:
 Buffalo, NY – Call center and all departments
 Tucson, AZ – Call Center
 Honolulu, HI – Call center
 Cleveland, OH – All departments
6/8/2017
Project Outline(Contd…)
4
 What has been going right
 CEO has target set to expand the sales by 10% for each of the
next 5 years and plans to take loan from USABanco.
 Talented resources with subject matter expert knowledge
 Company is expanding with multiple centers all over the USA.
Business expansion plan is under process.
 Work schedule is properly managed as per predicted call
volume for the particular week
 What gives cause for concern
 Customer dissatisfaction with customer service and
onboarding process.
 Increase in customer abandonment rate
 There is increase in the call hold time for customer which is
one of the reasons for customer dissatisfaction.
 Employees unwilling to scrutinize and accept problems in their
domain knowledge
6/8/2017
Project Scope Document
5
Problem Statement
1. The customer abandonment
rate is almost double from
2012 to 2013
2. This is a severe problem with
high scale as it will directly
affect the reputation and
business growth.
3. Customer survey and data
sheet give clear idea about
drastic variation in numbers
related to root cause for
customer umber decline.
4. Customer onboarding
process is not streamlined
and efficient.
5. Customer data related
documentation is not
maintained properly
6. Losses in terms of reduced
customer number, employee
inefficiency is huge.
Project Boundaries
• Process Starts with: Customer
registers with BAPIT Solutions
for a software product and
services by filling out number of
online forms through company
website.
• Process Ends with:
Confirmation of customer
onboarding by receiving a mail
with credentials.
In Scope:
• Turn around
time reduction
• Hold time
reduction
• Customer
(online and
hotline)
abandonment
• Reduction in
Operational
expenses
Out of Scope:
• Product
promotion
and analysis
• Increase in
sales using
process
improvement
procedures.
Goal Statement
1. To shrink the rate of
customer withdrawing
from onboarding
process to 7% or less
for next 9 months.
2. To decrease the turn
around time to 2 days
3. To have hold time for
customers to be less
than 40 seconds
4. To reduce operational
expenses through
innovative approaches.
Project Scope Document (Contd…)
6/8/2017 6
Preliminary Timeline
Project Activities Time/ Date
Define: Project Pre-work, Project Scope, 1-2 Weeks
Measure: SIPOC
Value Stream Mapping
1 Weeks
Measure: Baseline Data Time, Cost,
Quality and Volume
1 Weeks
(concurrent)
Analyze: Root Cause Identified 2 Weeks
Improve: Solutions Selected 2 Weeks
Improve: Cost/Benefits Case 1-2 Weeks
Improve: Implementation Plan Drafted 2 Weeks
Control: Benefits Reporting Started,
Control Plan
2 Weeks
Project Team
Process
Support
Project
Lead
Joe
Smith
Champion Rupert
Fries
Process
Owner
Pamela
Anne
Bronkowski
MBB/
coach
Julie
Mcgonagle
Business
Experts
Team
Member
Shubham
Garg
Team
Member
Priya
Ragavan
Team
Member
Akshaya
Jagan
Team
Membe
r
Chhaya
Bodhale
Project
Support
Team
Member
Komal
Tirmal
Compliance
/Legal
Liam H
Johnson
IT Kritika Khot Financ
e
Sangram
Wankhede
Benefits
Quantitative Qualitative
Reducing customer hold
time to less than 1 min
Decrease in % hold time
Decrease in manual
handoffs
Increase in efficiency
Reduce staff overtime and
paper cost
Employee satisfaction
Decrease avg turn around
time to less than 6 days
Improve % FTE utilization.
SIPOC
76/8/2017
S
Supplier
I
Input
P
Process
O
Output
C
Customer
Customer Incoming call Collect customer
Info via IVR
/manually by
customer care
executive
Customer
Information
gathered
Reasons for
abandonment
System Outbound call
queue
Customer call
back process
Information
gathered
Screenshot
capturing
systems
Customer data
captured
Data to be
entered into the
system
Data entry task
by Customer
care executive
Welcome Email
sent
Customer
Onboarding
system
Customer data Data verification
done by
Customer Care
executive
Entries in QC
database
Quality Control
database
Measure
86/8/2017
AS IS Process Map
96/8/2017
Advantages of using a Process Map
10
Makes it easier to find and focus on Areas of
Improvement.
Flexibility and ease of use
Clear understanding of ongoing processes
Eases updating and improvement of current
processes as and when required.
6/8/2017
Metrics involved
116/8/2017
Time: • Average hold time a customer is put on, when he
calls the call centre.
• Average time required to collect and verify customer
details
Quality: • Manual errors by customer care executive when
customer calls in.
Cost: • Infrastructure maintenance cost
• Labor cost for Customer care executives
• Cost for abandoned customer from each account
Volume: • Average calls answered per customer
• Average calls unanswered during office hours
• Average abandonment rate
Data Collection Plan
12
 Metrics contain the data generated by system
regarding effort hours and performance.
 It helps to understand the system and make
decisions based on that.
 Errors and mistakes that delay the normal process
efficiency can be easily identified and understood
by Metrics
 Automated System for call processing and
onboarding services can be measured and
improved by Data research and Analysis.
6/8/2017
Data Analysis – Basic Charts
136/8/2017
0
2
4
6
8
10
12
14
16
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
31
33
35
37
39
41
43
45
47
49
51
53
55
57
59
61
63
65
67
69
71
73
75
77
79
81
83
85
87
89
91
93
95
97
99
101
103
105
107
109
111
Turn TIme Before Sigma
Turn Time
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
31
33
35
37
39
41
43
45
47
49
51
53
55
57
59
61
63
65
67
69
71
73
75
77
79
81
83
85
87
89
91
93
95
97
99
101
103
105
107
109
111
Turn Time after sigma
Turn Time
Data Analysis – Basic Charts
146/8/2017
0%
20%
40%
60%
80%
100%
120%
0
1000
2000
3000
4000
5000
6000
Buffalo East Tuscon South Buffalo West Tuscon North Honolulu
Annual Attempted Onboarded Volume 2011
Annual Attempted Onboarded Volume Percent
0%
20%
40%
60%
80%
100%
120%
0
1000
2000
3000
4000
5000
6000
Buffalo East Tuscon South Buffalo West Tuscon North Honolulu
Annual attempted Onboard Volume 2012
Annual Attempted Onboarded Volume Percent
0%
50%
100%
150%
0
2000
4000
6000
8000
10000
Tuscon South Buffalo East Buffalo West Tuscon North Honolulu
Annual attempted Onboard Volume 2013
Annual Attempted Onboarded Volume Percent
Data Analysis – Basic Charts
156/8/2017
0
2000
4000
6000
8000
10000
Buffalo East Buffalo West Tuscon South Tuscon North Honolulu
Region wise On-boarded Volume Year on Year
2011 2012 2013
0
10
20
30
40
50
60
Customer Abandonment
2011 2012 2013
Analysis
16
Turn time was not proportionate before sigma
process. It got settled after applying Six Sigma and
now can me measured effectively.
Average onboarding time is much higher than the
service requirement
A clear understanding of relation between
onboarding time, hold time and abandonment time
can be established.
The following values are highest in 2012 –
 Average onboarding time
 Customer call hold time
 Average abandonment volume
Main contributors to the waste causing high
abandonment rate are manual handoffs and
missing sales data.
6/8/2017
Analyze
176/8/2017
Process map with VA/VE/NVE indicated
186/8/2017
8 Wastes in the process
19
 Transport
The customer details recorded online or by phone call is sent to the
onboarding specialists before feeding into the onboarding system.
 Inventory
The cases where the customers need some fixes or resolution are
retained for 10 business days and then queued to outbound call
after 5 days, then the customer calls back the customer and
finishes the onboarding process.
 Over production
Too many employees are involved in handling clients in a less traffic
time and the customers are loaded with information of other
products and features on the call.
 Over processing
The customer has around 400 fields that need to filled to send a
customer service request, this entry to be done manually for every
request by each customer.
The clients are asked to verify their identity multiple times when
forwarding call across the teams.
6/8/2017
8 Wastes in the process
20
 Waiting
The data to be entered by the customer in the website is not
processed until it is received by the specialist and fed into the
onboarding system.
The customer must wait for 5 business days for this to complete.
 Defects
The screenshots containing customer data obtained from the
website are deleted and the customer information record is lost and
the request is labeled as abandoned onboarding.
 Not using talent
The customer data is entered by the specialist manually for every
customer service agent.
 Motion
Customers are asked to take hard copies of the customer
information.
The calls of customers are transferred among 2 or 3 customer
service agents to resolve a customer query or give resolution to a
problem.
6/8/2017
VA/ NVA Table
216/8/2017
Value Added Non Value – Added
A customer can use a site
anytime as the Interactive Voice
Response will be enabled
After the customers provide
their data, It is being captured
and stored
Customer data is collected in
the backend and stored
A representative manually
enters the customer data into
the system
There is also a call center for
the customer to directly get in
touch with the representative.
For the cases that needs
further processing , a queue is
maintained and a call is given
back after 5 days
After the customer data is
entered and validated, a
welcome email with password is
sent to them.
The cases that are not
completed even after 10
business days are abandoned.
When the customers call the
customer care, specialists will
collect details and fill the form
Customer data is manually
entered into the system by the
representative
Root Cause: Fishbone Diagram
226/8/2017
Improve
236/8/2017
Solution Selection Matrix
246/8/2017
The Solution Selection Matrix
 The solutions were arrived upon by brainstorming with
the team, by classifying the ideas and ranking them.
 The same was use to identify the urgency of each
problem to be addressed.
Chosen Solution
256/8/2017
Problem addressed Root cause analyzed
Solution proposed
High Customer Abandonment rate Inefficient onboarding processes,
improper utilization of available
resources, poor data management
The caller could choose to be called
back before hanging up a call
leading to an improved customer
experience
High turn around time/ very long
wait times on hotline
Too much data to be collected from
every caller. Customer identity
verification required several times on a
single call
Add more Customer Service
Representatives to take calls on the
hotline
Inefficient Customer Onboarding There are 388 required fields which
need to be populated manually by CSR
which can be tedious for both parties
Pre-fill a few fields with default
values where required. Reduce the
number of required fields.
Maintain Customer data Partial updates of customer data not
possible
Allow partial updates to data.
Employee Inefficiency due to high
volumes of manual data entry
Absence of automation for most of the
routine process that CSR perform. Too
many unresolved cases with every
representative
Data from captured screenshots to
be used directly to update customer
data on the database
Each of the problems identified are directly or indirectly related to
other problems found after analysis. Hence the solutions are such
that, more than one problem has same root cause as one of its
root causes, also each solution addresses more than one problem
266/8/2017
276/8/2017
Idea Classification
Clear Solution Study Required
Within the Team Outside the Team
WithinTeamControlNeedsHelpFromManagers
3 1
4 2
 Solution 1
 Solution 7
 Solution 6
 Solution 5
 Solution 2
 Solution 3
 Solution 4
The solution number marked is in reference to the Solution Matrix excel sheet
286/8/2017
Idea Ranking
Significant Action Not
Possible Within 60 Days
Significant Action Possible
Within 60 Days
WillNOTContributeMuchTo
TheMission
WillSignificantlyContributeto
MissionSuccess
3 1
4 2
 Solution 1
 Solution 2
 Solution 3
 Solution 4
 Solution 7
 Solution 6
 Solution 5
IDEA RANKING
Significant Action Not
Possible Within 60 Days
Significant Action Possible
Within 60 Days
WillNOTContributeMuchTo
TheMission
WillSignificantlyContributeto
MissionSuccess
3 1
4 2
 Solution 1
 Solution 2
 Solution 3
 Solution 4
 Solution 7
 Solution 6
 Solution 5
Future State Map
306/8/2017
Cost Benefit Analysis
316/8/2017
Solution
Before
process
cost
After
process
cost
Difference
in cost
The caller could choose to be
called back before hanging up a
call leading to an improved
customer experience $0 $16,350 $16,350
Add more Customer Service
Representatives to take calls on
the hotline $2,658 $78,406 $75,748
Pre-fill a few fields with default
values where required. Reduce
the number of required fields. $0 $65,000 $65,000
Allow partial updates to data. $0 $1,500 $1,500
Data from captured screenshots
to be used directly to update
customer data on the database $0 $24,742 $24,742
Cost Benefit Analysis
32
 Qualitative Benefits
Performance Improvement with better resource planning
No data problems with increased Customer satisfaction.
 Quantitative Benefits
6/8/2017
Implemented Solution Benefits
The caller could choose to be called back before hanging up
a call leading to an improved customer experience $3,975,430
Add more Customer Service Representatives to take calls on
the hotline $164,892
Pre-fill a few fields with default values where required.
Reduce the number of required fields. $147,938
Allow partial updates to data. $24,631
Data from captured screenshots to be used directly to
update customer data on the database $86,342
Changes in Cost of Abandoned Accounts
33
 Before Changes - Abandoned Rates
 After Changes - Abandoned Rates
 Cost Changes – Abandoned cost per account = $56
6/8/2017
Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Average
2011-
2012 3 10 7 8 12 22 24 33 25 21 15 20 16.67
2012-
2013 28 37 35 40 50 45 37 30 23 37 34 28 35.33
Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Average
8 6 7 6 5 4 6
Before
Changes
After
changes Difference
Average Rate 35.33 6 29.33
Cost $1,978.48 $336 $1,642.48
Implementation Plan
Job
IDs
Step
Description
Responsibility Check
Date
Target
Date
Comments
1 The caller could
choose to be
called back before
hanging up a call
leading to an
improved customer
experience
Software Team Lead 3/20/2017 3/31/2017 This action is important as this
would help in more customer
acquisition and retention. It would
also be a benchmark for good
customer support system
2 Add more
Customer Service
Representatives to
take calls on the
hotline
Team Member 2/18/2017 3/31/2017 Customer Satisfaction and Quality
Improvement
3 Pre-fill a few fields
with default values
where required.
Reduce the
number of required
fields.
Software team Lead 2/25/2017 6/4/2017 This action item would help in
Avoiding data errors and forms that
are rejected due to wrong data
entered and hence will result in
more customers overall.
4 Allow partial
updates to data.
Team Member 3/24/2017 4/5/2017 This tasks allows the customer to
partially update the data in their
forms and hence is of high priority.
Or solution is based on this task
mostly.
5 Data from
captured
screenshots to be
used directly to
Software team Lead 2/27/2017 3/31/2017 This task would help us reduce the
manual work and automate the
process, thereby creating a
business improvement in the
Control
356/8/2017
GOAL Statement
36
To shrink the rate of customer withdrawing from
onboarding process to 7% or less for next 9
months.
To decrease the turn around time to 2 days To have
hold time for customers to be less than 40 seconds
To reduce operational expenses through innovative
approaches
6/8/2017
Original
Process
New Process Change
Turn Time (for 6
moths timeframe)
8.07 2.3 71.49
Abandonment Rate 36% 5.64% (Feb
2014)
24.52
Hold Time 60 sec(2013) 19 sec(Feb
2014)
68.33
Hypothesis Testing to Compare Results
37
Attached is the sheet with result from Hypothesis
Testing:
Since t-Stat is larger than t critical two tail value,
we reject H0, hence we can say that there has been
changes in Onboarding Turn Time after applying
our changes.
Thus, the claim on Abandonment rate and turn
time has reduced is true.
Hypothesis Testing
6/8/2017
Control Chart
38
Failure Point or
Risk
Prevention Check Point or
Trigger
Corrective Action Process Owner
No. of onboarding
specialists not
proportionate with
traffic of customers
Estimate and plan
for sufficient
number of on
specialists to
address customers
Map each Customer or
each customer enquiry
with On boarding
specialists
Monitor real time traffic,
Employ more on boarding
specialists based, so that
no customer is unattended
Onboarding
Specialist
One customer or
customer enquiry
assigned to more
than one specialist
Not more than one
on boarding
specialists assigned
to one customer
Alerting to update
entry when more than
one specialist is
mapped to a customer
Every customer should be
assigned to a specialist
and also make sure the
customer is assigned to
same specialist in future
Onboarding
Specialist
Some recorded
customer voice
messages are not
attended
There should be
control to make sure
that auto voice
messages are
attended by
specialist
Notifications sent to
onboarding specialists
to remind auto voice
messages
A target to be set for the
on boarding specialist on
the number of auto voice
messages to be attended
in a day or week.
Onboarding
Specialist
Database downtime
window interrupts
customer service
Ensuring that the
database is backed
up periodically
Trigger when unable to
access the web
onboarding website
Plan for database
maintenance when
customers load is less.
Automated
Inability in
maintaining partial
form data at
database level
Saving data at
periodic intervals
with timestamps
included
Checkpoint while
saving data to ensure
data correctness and
integrity is achieved
Saving the partial data-
flagging as intermediate,
and storing complete form
data in database
Automated
Fails to upload
user data forms
automatically
Maintain data
isolation, while
handling
concurrency
Trigger to revert back
to consistent state
before failure occurred
Ensure that form is
accepted with data
uploaded completely or
not at all to ensure
required data is captured
Automated
Future Project Ideas
39
 Perform data analytics on the customer service data to design a
model that predicts the number of onboarding specialists to be
employed based on factors like network traffic, time of call etc.
 Extend the service as an online chat facility with enhanced help
support clues.
 Identifying customers, capturing interests and preferences of
customers and target to sell more customized software products.
 Innovative campaigns and promotions to increase the customer base.
 Provide added benefits for existing customers who renew their
software contracts.
6/8/2017

More Related Content

What's hot

Demand Sensing - What's New in 2019, How Are Organisations Leveraging It
Demand Sensing - What's New in 2019, How Are Organisations Leveraging ItDemand Sensing - What's New in 2019, How Are Organisations Leveraging It
Demand Sensing - What's New in 2019, How Are Organisations Leveraging ItSCL HUB
 
Lean Leadership - Part 3 of 3
Lean Leadership - Part 3 of 3Lean Leadership - Part 3 of 3
Lean Leadership - Part 3 of 3TKMG, Inc.
 
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...GoLeanSixSigma.com
 
Metrics-Based Process Mapping
Metrics-Based Process MappingMetrics-Based Process Mapping
Metrics-Based Process MappingTKMG, Inc.
 
Value Stream Mapping
Value Stream MappingValue Stream Mapping
Value Stream MappingTKMG, Inc.
 
Demand Planning Leadership Exchange: Demand Sensing - Are You Ready?
Demand Planning Leadership Exchange: Demand Sensing - Are You Ready? Demand Planning Leadership Exchange: Demand Sensing - Are You Ready?
Demand Planning Leadership Exchange: Demand Sensing - Are You Ready? Plan4Demand
 
AnaplanOSFINALWebinarPresentation(Forrester)
AnaplanOSFINALWebinarPresentation(Forrester)AnaplanOSFINALWebinarPresentation(Forrester)
AnaplanOSFINALWebinarPresentation(Forrester)Laura Roach
 
Lean Value Stream Mapping (VSM) Training Module
Lean Value Stream Mapping (VSM) Training ModuleLean Value Stream Mapping (VSM) Training Module
Lean Value Stream Mapping (VSM) Training ModuleFrank-G. Adler
 
Value Stream Transformation: 10 Keys to Success
Value Stream Transformation: 10 Keys to SuccessValue Stream Transformation: 10 Keys to Success
Value Stream Transformation: 10 Keys to SuccessTKMG, Inc.
 
Steps Of Strategic Procurement Process PowerPoint Presentation Slides
Steps Of Strategic Procurement Process PowerPoint Presentation SlidesSteps Of Strategic Procurement Process PowerPoint Presentation Slides
Steps Of Strategic Procurement Process PowerPoint Presentation SlidesSlideTeam
 
Who Owns the “S” in S&OP?
Who Owns the “S” in S&OP?Who Owns the “S” in S&OP?
Who Owns the “S” in S&OP?Steelwedge
 
IT Financial Management
IT Financial ManagementIT Financial Management
IT Financial ManagementBearingPoint
 
The Complete Lean Enterprise
The Complete Lean EnterpriseThe Complete Lean Enterprise
The Complete Lean EnterpriseYucika Kalvari
 
Whitepaper Lean and Six Sigma in IT
Whitepaper Lean and Six Sigma in ITWhitepaper Lean and Six Sigma in IT
Whitepaper Lean and Six Sigma in ITTijmen Kwakkel
 
High Tech Forecasting Planning Summit Presentation
High Tech Forecasting Planning Summit PresentationHigh Tech Forecasting Planning Summit Presentation
High Tech Forecasting Planning Summit PresentationAvnet Electronics Marketing
 
COLLABORATE 18 Presentation: Demand Planning in Cloud R13
COLLABORATE 18 Presentation: Demand Planning in Cloud R13COLLABORATE 18 Presentation: Demand Planning in Cloud R13
COLLABORATE 18 Presentation: Demand Planning in Cloud R13Jade Global
 
AP – A Catalyst for P2P Transformation
AP – A Catalyst for P2P TransformationAP – A Catalyst for P2P Transformation
AP – A Catalyst for P2P TransformationTradeshift
 
Lean order management processes help increase revenues worth $10.5 mn
Lean order management processes help increase revenues worth $10.5 mnLean order management processes help increase revenues worth $10.5 mn
Lean order management processes help increase revenues worth $10.5 mnGenpact Ltd
 
Lean Leadership: Part 2 of 3
Lean Leadership: Part 2 of 3Lean Leadership: Part 2 of 3
Lean Leadership: Part 2 of 3TKMG, Inc.
 

What's hot (19)

Demand Sensing - What's New in 2019, How Are Organisations Leveraging It
Demand Sensing - What's New in 2019, How Are Organisations Leveraging ItDemand Sensing - What's New in 2019, How Are Organisations Leveraging It
Demand Sensing - What's New in 2019, How Are Organisations Leveraging It
 
Lean Leadership - Part 3 of 3
Lean Leadership - Part 3 of 3Lean Leadership - Part 3 of 3
Lean Leadership - Part 3 of 3
 
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
 
Metrics-Based Process Mapping
Metrics-Based Process MappingMetrics-Based Process Mapping
Metrics-Based Process Mapping
 
Value Stream Mapping
Value Stream MappingValue Stream Mapping
Value Stream Mapping
 
Demand Planning Leadership Exchange: Demand Sensing - Are You Ready?
Demand Planning Leadership Exchange: Demand Sensing - Are You Ready? Demand Planning Leadership Exchange: Demand Sensing - Are You Ready?
Demand Planning Leadership Exchange: Demand Sensing - Are You Ready?
 
AnaplanOSFINALWebinarPresentation(Forrester)
AnaplanOSFINALWebinarPresentation(Forrester)AnaplanOSFINALWebinarPresentation(Forrester)
AnaplanOSFINALWebinarPresentation(Forrester)
 
Lean Value Stream Mapping (VSM) Training Module
Lean Value Stream Mapping (VSM) Training ModuleLean Value Stream Mapping (VSM) Training Module
Lean Value Stream Mapping (VSM) Training Module
 
Value Stream Transformation: 10 Keys to Success
Value Stream Transformation: 10 Keys to SuccessValue Stream Transformation: 10 Keys to Success
Value Stream Transformation: 10 Keys to Success
 
Steps Of Strategic Procurement Process PowerPoint Presentation Slides
Steps Of Strategic Procurement Process PowerPoint Presentation SlidesSteps Of Strategic Procurement Process PowerPoint Presentation Slides
Steps Of Strategic Procurement Process PowerPoint Presentation Slides
 
Who Owns the “S” in S&OP?
Who Owns the “S” in S&OP?Who Owns the “S” in S&OP?
Who Owns the “S” in S&OP?
 
IT Financial Management
IT Financial ManagementIT Financial Management
IT Financial Management
 
The Complete Lean Enterprise
The Complete Lean EnterpriseThe Complete Lean Enterprise
The Complete Lean Enterprise
 
Whitepaper Lean and Six Sigma in IT
Whitepaper Lean and Six Sigma in ITWhitepaper Lean and Six Sigma in IT
Whitepaper Lean and Six Sigma in IT
 
High Tech Forecasting Planning Summit Presentation
High Tech Forecasting Planning Summit PresentationHigh Tech Forecasting Planning Summit Presentation
High Tech Forecasting Planning Summit Presentation
 
COLLABORATE 18 Presentation: Demand Planning in Cloud R13
COLLABORATE 18 Presentation: Demand Planning in Cloud R13COLLABORATE 18 Presentation: Demand Planning in Cloud R13
COLLABORATE 18 Presentation: Demand Planning in Cloud R13
 
AP – A Catalyst for P2P Transformation
AP – A Catalyst for P2P TransformationAP – A Catalyst for P2P Transformation
AP – A Catalyst for P2P Transformation
 
Lean order management processes help increase revenues worth $10.5 mn
Lean order management processes help increase revenues worth $10.5 mnLean order management processes help increase revenues worth $10.5 mn
Lean order management processes help increase revenues worth $10.5 mn
 
Lean Leadership: Part 2 of 3
Lean Leadership: Part 2 of 3Lean Leadership: Part 2 of 3
Lean Leadership: Part 2 of 3
 

Similar to Advanced process analysis project report

Pabit solution final_project_advitprocessmgmt v3.0 (1)
Pabit solution final_project_advitprocessmgmt v3.0 (1)Pabit solution final_project_advitprocessmgmt v3.0 (1)
Pabit solution final_project_advitprocessmgmt v3.0 (1)Supreet Kaur
 
Mitigate the Impact of Great Resignation with AI Digital Assistants.pptx
Mitigate the Impact of Great Resignation with AI Digital Assistants.pptxMitigate the Impact of Great Resignation with AI Digital Assistants.pptx
Mitigate the Impact of Great Resignation with AI Digital Assistants.pptxEmagia
 
Transforming Field Service into a Profit Powerhouse - Spencer Earp (ServiceMa...
Transforming Field Service into a Profit Powerhouse - Spencer Earp (ServiceMa...Transforming Field Service into a Profit Powerhouse - Spencer Earp (ServiceMa...
Transforming Field Service into a Profit Powerhouse - Spencer Earp (ServiceMa...Protectionandmanagement
 
Digital assistants for hire - Emagia Gia Docs AI
Digital assistants for hire - Emagia Gia Docs AIDigital assistants for hire - Emagia Gia Docs AI
Digital assistants for hire - Emagia Gia Docs AIEmagia
 
Moving Health Insurance into the Digital World
Moving Health Insurance into the Digital WorldMoving Health Insurance into the Digital World
Moving Health Insurance into the Digital WorldIIBA UK Chapter
 
Acounts Payable Trends 2017: The Process and Technology of AP Invoice (ACAP)
Acounts Payable Trends 2017: The Process and Technology of AP Invoice (ACAP)Acounts Payable Trends 2017: The Process and Technology of AP Invoice (ACAP)
Acounts Payable Trends 2017: The Process and Technology of AP Invoice (ACAP)Ashley Emery
 
Alpha Case Study - Process Improvement Plan_Sample
Alpha Case Study - Process Improvement Plan_SampleAlpha Case Study - Process Improvement Plan_Sample
Alpha Case Study - Process Improvement Plan_SampleAgatha Maia Duarte de Assis
 
Huntsville utilties and source gas — delivering total customer care
Huntsville utilties and source gas — delivering total customer careHuntsville utilties and source gas — delivering total customer care
Huntsville utilties and source gas — delivering total customer carerobgirvan
 
Direct Insite Investor Presentation - September 2013
Direct Insite Investor Presentation - September 2013Direct Insite Investor Presentation - September 2013
Direct Insite Investor Presentation - September 2013Company Spotlight
 
Direct Insite Investor Presentation 2013
Direct Insite Investor Presentation 2013 Direct Insite Investor Presentation 2013
Direct Insite Investor Presentation 2013 Company Spotlight
 
Direct Insite Presentation - October 2013
Direct Insite Presentation - October 2013Direct Insite Presentation - October 2013
Direct Insite Presentation - October 2013Company Spotlight
 
Six_Sigma_Report_Template_v2 (2).pptx
Six_Sigma_Report_Template_v2 (2).pptxSix_Sigma_Report_Template_v2 (2).pptx
Six_Sigma_Report_Template_v2 (2).pptxPhngPhmTrung
 
SUCCESS STORY: How UC San Diego Saved 2,000 Hours a Year in the Employee Onbo...
SUCCESS STORY: How UC San Diego Saved 2,000 Hours a Year in the Employee Onbo...SUCCESS STORY: How UC San Diego Saved 2,000 Hours a Year in the Employee Onbo...
SUCCESS STORY: How UC San Diego Saved 2,000 Hours a Year in the Employee Onbo...GoLeanSixSigma.com
 
Direct Insite Presentation December 2013
Direct Insite Presentation December 2013Direct Insite Presentation December 2013
Direct Insite Presentation December 2013Company Spotlight
 
Case Study of Service Transformation : Leading Indian Bank
Case Study of Service Transformation : Leading Indian BankCase Study of Service Transformation : Leading Indian Bank
Case Study of Service Transformation : Leading Indian Bankmastersunconsulting
 

Similar to Advanced process analysis project report (20)

Pabit solution final_project_advitprocessmgmt v3.0 (1)
Pabit solution final_project_advitprocessmgmt v3.0 (1)Pabit solution final_project_advitprocessmgmt v3.0 (1)
Pabit solution final_project_advitprocessmgmt v3.0 (1)
 
Mitigate the Impact of Great Resignation with AI Digital Assistants.pptx
Mitigate the Impact of Great Resignation with AI Digital Assistants.pptxMitigate the Impact of Great Resignation with AI Digital Assistants.pptx
Mitigate the Impact of Great Resignation with AI Digital Assistants.pptx
 
Transforming Field Service into a Profit Powerhouse - Spencer Earp (ServiceMa...
Transforming Field Service into a Profit Powerhouse - Spencer Earp (ServiceMa...Transforming Field Service into a Profit Powerhouse - Spencer Earp (ServiceMa...
Transforming Field Service into a Profit Powerhouse - Spencer Earp (ServiceMa...
 
Digital assistants for hire - Emagia Gia Docs AI
Digital assistants for hire - Emagia Gia Docs AIDigital assistants for hire - Emagia Gia Docs AI
Digital assistants for hire - Emagia Gia Docs AI
 
Moving Health Insurance into the Digital World
Moving Health Insurance into the Digital WorldMoving Health Insurance into the Digital World
Moving Health Insurance into the Digital World
 
Acounts Payable Trends 2017: The Process and Technology of AP Invoice (ACAP)
Acounts Payable Trends 2017: The Process and Technology of AP Invoice (ACAP)Acounts Payable Trends 2017: The Process and Technology of AP Invoice (ACAP)
Acounts Payable Trends 2017: The Process and Technology of AP Invoice (ACAP)
 
Alpha Case Study - Process Improvement Plan_Sample
Alpha Case Study - Process Improvement Plan_SampleAlpha Case Study - Process Improvement Plan_Sample
Alpha Case Study - Process Improvement Plan_Sample
 
Huntsville utilties and source gas — delivering total customer care
Huntsville utilties and source gas — delivering total customer careHuntsville utilties and source gas — delivering total customer care
Huntsville utilties and source gas — delivering total customer care
 
Direct Insite Investor Presentation - September 2013
Direct Insite Investor Presentation - September 2013Direct Insite Investor Presentation - September 2013
Direct Insite Investor Presentation - September 2013
 
Direct Insite Investor Presentation 2013
Direct Insite Investor Presentation 2013 Direct Insite Investor Presentation 2013
Direct Insite Investor Presentation 2013
 
Kashi Vishwanath R 2016
Kashi Vishwanath R 2016Kashi Vishwanath R 2016
Kashi Vishwanath R 2016
 
Direct Insite Presentation - October 2013
Direct Insite Presentation - October 2013Direct Insite Presentation - October 2013
Direct Insite Presentation - October 2013
 
Six_Sigma_Report_Template_v2 (2).pptx
Six_Sigma_Report_Template_v2 (2).pptxSix_Sigma_Report_Template_v2 (2).pptx
Six_Sigma_Report_Template_v2 (2).pptx
 
SUCCESS STORY: How UC San Diego Saved 2,000 Hours a Year in the Employee Onbo...
SUCCESS STORY: How UC San Diego Saved 2,000 Hours a Year in the Employee Onbo...SUCCESS STORY: How UC San Diego Saved 2,000 Hours a Year in the Employee Onbo...
SUCCESS STORY: How UC San Diego Saved 2,000 Hours a Year in the Employee Onbo...
 
Resume
ResumeResume
Resume
 
Prem Dsilva
Prem DsilvaPrem Dsilva
Prem Dsilva
 
Direct Insite Presentation December 2013
Direct Insite Presentation December 2013Direct Insite Presentation December 2013
Direct Insite Presentation December 2013
 
Case Study of Service Transformation : Leading Indian Bank
Case Study of Service Transformation : Leading Indian BankCase Study of Service Transformation : Leading Indian Bank
Case Study of Service Transformation : Leading Indian Bank
 
Clothes R Us Situational analysis
Clothes R Us Situational analysisClothes R Us Situational analysis
Clothes R Us Situational analysis
 
Service Management Excellence
Service Management ExcellenceService Management Excellence
Service Management Excellence
 

Recently uploaded

Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailAriel592675
 
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
Catalogue ONG NUOC PPR DE NHAT .pdf
Catalogue ONG NUOC PPR DE NHAT      .pdfCatalogue ONG NUOC PPR DE NHAT      .pdf
Catalogue ONG NUOC PPR DE NHAT .pdfOrient Homes
 
Catalogue ONG NƯỚC uPVC - HDPE DE NHAT.pdf
Catalogue ONG NƯỚC uPVC - HDPE DE NHAT.pdfCatalogue ONG NƯỚC uPVC - HDPE DE NHAT.pdf
Catalogue ONG NƯỚC uPVC - HDPE DE NHAT.pdfOrient Homes
 
Call Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any TimeCall Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any Timedelhimodelshub1
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis UsageNeil Kimberley
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
(8264348440) 🔝 Call Girls In Hauz Khas 🔝 Delhi NCR
(8264348440) 🔝 Call Girls In Hauz Khas 🔝 Delhi NCR(8264348440) 🔝 Call Girls In Hauz Khas 🔝 Delhi NCR
(8264348440) 🔝 Call Girls In Hauz Khas 🔝 Delhi NCRsoniya singh
 
Marketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet CreationsMarketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet Creationsnakalysalcedo61
 
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
Tech Startup Growth Hacking 101  - Basics on Growth MarketingTech Startup Growth Hacking 101  - Basics on Growth Marketing
Tech Startup Growth Hacking 101 - Basics on Growth MarketingShawn Pang
 
Investment analysis and portfolio management
Investment analysis and portfolio managementInvestment analysis and portfolio management
Investment analysis and portfolio managementJunaidKhan750825
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...lizamodels9
 
RE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechRE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechNewman George Leech
 
(8264348440) 🔝 Call Girls In Keshav Puram 🔝 Delhi NCR
(8264348440) 🔝 Call Girls In Keshav Puram 🔝 Delhi NCR(8264348440) 🔝 Call Girls In Keshav Puram 🔝 Delhi NCR
(8264348440) 🔝 Call Girls In Keshav Puram 🔝 Delhi NCRsoniya singh
 
Islamabad Escorts | Call 03274100048 | Escort Service in Islamabad
Islamabad Escorts | Call 03274100048 | Escort Service in IslamabadIslamabad Escorts | Call 03274100048 | Escort Service in Islamabad
Islamabad Escorts | Call 03274100048 | Escort Service in IslamabadAyesha Khan
 
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiFULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiMalviyaNagarCallGirl
 
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsCash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsApsara Of India
 
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfpollardmorgan
 
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service DewasVip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewasmakika9823
 
rishikeshgirls.in- Rishikesh call girl.pdf
rishikeshgirls.in- Rishikesh call girl.pdfrishikeshgirls.in- Rishikesh call girl.pdf
rishikeshgirls.in- Rishikesh call girl.pdfmuskan1121w
 

Recently uploaded (20)

Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detail
 
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In BELLMONT HOTEL ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
Catalogue ONG NUOC PPR DE NHAT .pdf
Catalogue ONG NUOC PPR DE NHAT      .pdfCatalogue ONG NUOC PPR DE NHAT      .pdf
Catalogue ONG NUOC PPR DE NHAT .pdf
 
Catalogue ONG NƯỚC uPVC - HDPE DE NHAT.pdf
Catalogue ONG NƯỚC uPVC - HDPE DE NHAT.pdfCatalogue ONG NƯỚC uPVC - HDPE DE NHAT.pdf
Catalogue ONG NƯỚC uPVC - HDPE DE NHAT.pdf
 
Call Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any TimeCall Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any Time
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
(8264348440) 🔝 Call Girls In Hauz Khas 🔝 Delhi NCR
(8264348440) 🔝 Call Girls In Hauz Khas 🔝 Delhi NCR(8264348440) 🔝 Call Girls In Hauz Khas 🔝 Delhi NCR
(8264348440) 🔝 Call Girls In Hauz Khas 🔝 Delhi NCR
 
Marketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet CreationsMarketing Management Business Plan_My Sweet Creations
Marketing Management Business Plan_My Sweet Creations
 
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
Tech Startup Growth Hacking 101  - Basics on Growth MarketingTech Startup Growth Hacking 101  - Basics on Growth Marketing
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
 
Investment analysis and portfolio management
Investment analysis and portfolio managementInvestment analysis and portfolio management
Investment analysis and portfolio management
 
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
Call Girls In Connaught Place Delhi ❤️88604**77959_Russian 100% Genuine Escor...
 
RE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman LeechRE Capital's Visionary Leadership under Newman Leech
RE Capital's Visionary Leadership under Newman Leech
 
(8264348440) 🔝 Call Girls In Keshav Puram 🔝 Delhi NCR
(8264348440) 🔝 Call Girls In Keshav Puram 🔝 Delhi NCR(8264348440) 🔝 Call Girls In Keshav Puram 🔝 Delhi NCR
(8264348440) 🔝 Call Girls In Keshav Puram 🔝 Delhi NCR
 
Islamabad Escorts | Call 03274100048 | Escort Service in Islamabad
Islamabad Escorts | Call 03274100048 | Escort Service in IslamabadIslamabad Escorts | Call 03274100048 | Escort Service in Islamabad
Islamabad Escorts | Call 03274100048 | Escort Service in Islamabad
 
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiFULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
 
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsCash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
 
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
 
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service DewasVip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
Vip Dewas Call Girls #9907093804 Contact Number Escorts Service Dewas
 
rishikeshgirls.in- Rishikesh call girl.pdf
rishikeshgirls.in- Rishikesh call girl.pdfrishikeshgirls.in- Rishikesh call girl.pdf
rishikeshgirls.in- Rishikesh call girl.pdf
 

Advanced process analysis project report

  • 1. PABIT Solutions Inc. Introduction to Process Improvement- Part II MGS 618 – Advanced Process Analysis Chhaya Bodhale Komal Tirmal Shubham Garg Shruti Narkhede Priyadarsini Kannan Krishnamachariar 05/14/2017
  • 3. Project Outline 3  Company Introduction: BAPIT solutions is company whose net worth is $10 million per year. Chair of the CEO is held by Pamela Anne Bronkowski. Company has 5 centers for company operations across USA, out of which 2 have all departments including product development, sales and marketing, software engineering, accounting and shipping etc. The company also has 3 are call centers for operations like customer sales, Onboarding, customer servicing and customer complaints. Location of the sites is as follows:  Buffalo, NY – Call center and all departments  Tucson, AZ – Call Center  Honolulu, HI – Call center  Cleveland, OH – All departments 6/8/2017
  • 4. Project Outline(Contd…) 4  What has been going right  CEO has target set to expand the sales by 10% for each of the next 5 years and plans to take loan from USABanco.  Talented resources with subject matter expert knowledge  Company is expanding with multiple centers all over the USA. Business expansion plan is under process.  Work schedule is properly managed as per predicted call volume for the particular week  What gives cause for concern  Customer dissatisfaction with customer service and onboarding process.  Increase in customer abandonment rate  There is increase in the call hold time for customer which is one of the reasons for customer dissatisfaction.  Employees unwilling to scrutinize and accept problems in their domain knowledge 6/8/2017
  • 5. Project Scope Document 5 Problem Statement 1. The customer abandonment rate is almost double from 2012 to 2013 2. This is a severe problem with high scale as it will directly affect the reputation and business growth. 3. Customer survey and data sheet give clear idea about drastic variation in numbers related to root cause for customer umber decline. 4. Customer onboarding process is not streamlined and efficient. 5. Customer data related documentation is not maintained properly 6. Losses in terms of reduced customer number, employee inefficiency is huge. Project Boundaries • Process Starts with: Customer registers with BAPIT Solutions for a software product and services by filling out number of online forms through company website. • Process Ends with: Confirmation of customer onboarding by receiving a mail with credentials. In Scope: • Turn around time reduction • Hold time reduction • Customer (online and hotline) abandonment • Reduction in Operational expenses Out of Scope: • Product promotion and analysis • Increase in sales using process improvement procedures. Goal Statement 1. To shrink the rate of customer withdrawing from onboarding process to 7% or less for next 9 months. 2. To decrease the turn around time to 2 days 3. To have hold time for customers to be less than 40 seconds 4. To reduce operational expenses through innovative approaches.
  • 6. Project Scope Document (Contd…) 6/8/2017 6 Preliminary Timeline Project Activities Time/ Date Define: Project Pre-work, Project Scope, 1-2 Weeks Measure: SIPOC Value Stream Mapping 1 Weeks Measure: Baseline Data Time, Cost, Quality and Volume 1 Weeks (concurrent) Analyze: Root Cause Identified 2 Weeks Improve: Solutions Selected 2 Weeks Improve: Cost/Benefits Case 1-2 Weeks Improve: Implementation Plan Drafted 2 Weeks Control: Benefits Reporting Started, Control Plan 2 Weeks Project Team Process Support Project Lead Joe Smith Champion Rupert Fries Process Owner Pamela Anne Bronkowski MBB/ coach Julie Mcgonagle Business Experts Team Member Shubham Garg Team Member Priya Ragavan Team Member Akshaya Jagan Team Membe r Chhaya Bodhale Project Support Team Member Komal Tirmal Compliance /Legal Liam H Johnson IT Kritika Khot Financ e Sangram Wankhede Benefits Quantitative Qualitative Reducing customer hold time to less than 1 min Decrease in % hold time Decrease in manual handoffs Increase in efficiency Reduce staff overtime and paper cost Employee satisfaction Decrease avg turn around time to less than 6 days Improve % FTE utilization.
  • 7. SIPOC 76/8/2017 S Supplier I Input P Process O Output C Customer Customer Incoming call Collect customer Info via IVR /manually by customer care executive Customer Information gathered Reasons for abandonment System Outbound call queue Customer call back process Information gathered Screenshot capturing systems Customer data captured Data to be entered into the system Data entry task by Customer care executive Welcome Email sent Customer Onboarding system Customer data Data verification done by Customer Care executive Entries in QC database Quality Control database
  • 9. AS IS Process Map 96/8/2017
  • 10. Advantages of using a Process Map 10 Makes it easier to find and focus on Areas of Improvement. Flexibility and ease of use Clear understanding of ongoing processes Eases updating and improvement of current processes as and when required. 6/8/2017
  • 11. Metrics involved 116/8/2017 Time: • Average hold time a customer is put on, when he calls the call centre. • Average time required to collect and verify customer details Quality: • Manual errors by customer care executive when customer calls in. Cost: • Infrastructure maintenance cost • Labor cost for Customer care executives • Cost for abandoned customer from each account Volume: • Average calls answered per customer • Average calls unanswered during office hours • Average abandonment rate
  • 12. Data Collection Plan 12  Metrics contain the data generated by system regarding effort hours and performance.  It helps to understand the system and make decisions based on that.  Errors and mistakes that delay the normal process efficiency can be easily identified and understood by Metrics  Automated System for call processing and onboarding services can be measured and improved by Data research and Analysis. 6/8/2017
  • 13. Data Analysis – Basic Charts 136/8/2017 0 2 4 6 8 10 12 14 16 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 81 83 85 87 89 91 93 95 97 99 101 103 105 107 109 111 Turn TIme Before Sigma Turn Time 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 81 83 85 87 89 91 93 95 97 99 101 103 105 107 109 111 Turn Time after sigma Turn Time
  • 14. Data Analysis – Basic Charts 146/8/2017 0% 20% 40% 60% 80% 100% 120% 0 1000 2000 3000 4000 5000 6000 Buffalo East Tuscon South Buffalo West Tuscon North Honolulu Annual Attempted Onboarded Volume 2011 Annual Attempted Onboarded Volume Percent 0% 20% 40% 60% 80% 100% 120% 0 1000 2000 3000 4000 5000 6000 Buffalo East Tuscon South Buffalo West Tuscon North Honolulu Annual attempted Onboard Volume 2012 Annual Attempted Onboarded Volume Percent 0% 50% 100% 150% 0 2000 4000 6000 8000 10000 Tuscon South Buffalo East Buffalo West Tuscon North Honolulu Annual attempted Onboard Volume 2013 Annual Attempted Onboarded Volume Percent
  • 15. Data Analysis – Basic Charts 156/8/2017 0 2000 4000 6000 8000 10000 Buffalo East Buffalo West Tuscon South Tuscon North Honolulu Region wise On-boarded Volume Year on Year 2011 2012 2013 0 10 20 30 40 50 60 Customer Abandonment 2011 2012 2013
  • 16. Analysis 16 Turn time was not proportionate before sigma process. It got settled after applying Six Sigma and now can me measured effectively. Average onboarding time is much higher than the service requirement A clear understanding of relation between onboarding time, hold time and abandonment time can be established. The following values are highest in 2012 –  Average onboarding time  Customer call hold time  Average abandonment volume Main contributors to the waste causing high abandonment rate are manual handoffs and missing sales data. 6/8/2017
  • 18. Process map with VA/VE/NVE indicated 186/8/2017
  • 19. 8 Wastes in the process 19  Transport The customer details recorded online or by phone call is sent to the onboarding specialists before feeding into the onboarding system.  Inventory The cases where the customers need some fixes or resolution are retained for 10 business days and then queued to outbound call after 5 days, then the customer calls back the customer and finishes the onboarding process.  Over production Too many employees are involved in handling clients in a less traffic time and the customers are loaded with information of other products and features on the call.  Over processing The customer has around 400 fields that need to filled to send a customer service request, this entry to be done manually for every request by each customer. The clients are asked to verify their identity multiple times when forwarding call across the teams. 6/8/2017
  • 20. 8 Wastes in the process 20  Waiting The data to be entered by the customer in the website is not processed until it is received by the specialist and fed into the onboarding system. The customer must wait for 5 business days for this to complete.  Defects The screenshots containing customer data obtained from the website are deleted and the customer information record is lost and the request is labeled as abandoned onboarding.  Not using talent The customer data is entered by the specialist manually for every customer service agent.  Motion Customers are asked to take hard copies of the customer information. The calls of customers are transferred among 2 or 3 customer service agents to resolve a customer query or give resolution to a problem. 6/8/2017
  • 21. VA/ NVA Table 216/8/2017 Value Added Non Value – Added A customer can use a site anytime as the Interactive Voice Response will be enabled After the customers provide their data, It is being captured and stored Customer data is collected in the backend and stored A representative manually enters the customer data into the system There is also a call center for the customer to directly get in touch with the representative. For the cases that needs further processing , a queue is maintained and a call is given back after 5 days After the customer data is entered and validated, a welcome email with password is sent to them. The cases that are not completed even after 10 business days are abandoned. When the customers call the customer care, specialists will collect details and fill the form Customer data is manually entered into the system by the representative
  • 22. Root Cause: Fishbone Diagram 226/8/2017
  • 24. Solution Selection Matrix 246/8/2017 The Solution Selection Matrix  The solutions were arrived upon by brainstorming with the team, by classifying the ideas and ranking them.  The same was use to identify the urgency of each problem to be addressed.
  • 25. Chosen Solution 256/8/2017 Problem addressed Root cause analyzed Solution proposed High Customer Abandonment rate Inefficient onboarding processes, improper utilization of available resources, poor data management The caller could choose to be called back before hanging up a call leading to an improved customer experience High turn around time/ very long wait times on hotline Too much data to be collected from every caller. Customer identity verification required several times on a single call Add more Customer Service Representatives to take calls on the hotline Inefficient Customer Onboarding There are 388 required fields which need to be populated manually by CSR which can be tedious for both parties Pre-fill a few fields with default values where required. Reduce the number of required fields. Maintain Customer data Partial updates of customer data not possible Allow partial updates to data. Employee Inefficiency due to high volumes of manual data entry Absence of automation for most of the routine process that CSR perform. Too many unresolved cases with every representative Data from captured screenshots to be used directly to update customer data on the database Each of the problems identified are directly or indirectly related to other problems found after analysis. Hence the solutions are such that, more than one problem has same root cause as one of its root causes, also each solution addresses more than one problem
  • 27. 276/8/2017 Idea Classification Clear Solution Study Required Within the Team Outside the Team WithinTeamControlNeedsHelpFromManagers 3 1 4 2  Solution 1  Solution 7  Solution 6  Solution 5  Solution 2  Solution 3  Solution 4 The solution number marked is in reference to the Solution Matrix excel sheet
  • 28. 286/8/2017 Idea Ranking Significant Action Not Possible Within 60 Days Significant Action Possible Within 60 Days WillNOTContributeMuchTo TheMission WillSignificantlyContributeto MissionSuccess 3 1 4 2  Solution 1  Solution 2  Solution 3  Solution 4  Solution 7  Solution 6  Solution 5
  • 29. IDEA RANKING Significant Action Not Possible Within 60 Days Significant Action Possible Within 60 Days WillNOTContributeMuchTo TheMission WillSignificantlyContributeto MissionSuccess 3 1 4 2  Solution 1  Solution 2  Solution 3  Solution 4  Solution 7  Solution 6  Solution 5
  • 31. Cost Benefit Analysis 316/8/2017 Solution Before process cost After process cost Difference in cost The caller could choose to be called back before hanging up a call leading to an improved customer experience $0 $16,350 $16,350 Add more Customer Service Representatives to take calls on the hotline $2,658 $78,406 $75,748 Pre-fill a few fields with default values where required. Reduce the number of required fields. $0 $65,000 $65,000 Allow partial updates to data. $0 $1,500 $1,500 Data from captured screenshots to be used directly to update customer data on the database $0 $24,742 $24,742
  • 32. Cost Benefit Analysis 32  Qualitative Benefits Performance Improvement with better resource planning No data problems with increased Customer satisfaction.  Quantitative Benefits 6/8/2017 Implemented Solution Benefits The caller could choose to be called back before hanging up a call leading to an improved customer experience $3,975,430 Add more Customer Service Representatives to take calls on the hotline $164,892 Pre-fill a few fields with default values where required. Reduce the number of required fields. $147,938 Allow partial updates to data. $24,631 Data from captured screenshots to be used directly to update customer data on the database $86,342
  • 33. Changes in Cost of Abandoned Accounts 33  Before Changes - Abandoned Rates  After Changes - Abandoned Rates  Cost Changes – Abandoned cost per account = $56 6/8/2017 Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Average 2011- 2012 3 10 7 8 12 22 24 33 25 21 15 20 16.67 2012- 2013 28 37 35 40 50 45 37 30 23 37 34 28 35.33 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Average 8 6 7 6 5 4 6 Before Changes After changes Difference Average Rate 35.33 6 29.33 Cost $1,978.48 $336 $1,642.48
  • 34. Implementation Plan Job IDs Step Description Responsibility Check Date Target Date Comments 1 The caller could choose to be called back before hanging up a call leading to an improved customer experience Software Team Lead 3/20/2017 3/31/2017 This action is important as this would help in more customer acquisition and retention. It would also be a benchmark for good customer support system 2 Add more Customer Service Representatives to take calls on the hotline Team Member 2/18/2017 3/31/2017 Customer Satisfaction and Quality Improvement 3 Pre-fill a few fields with default values where required. Reduce the number of required fields. Software team Lead 2/25/2017 6/4/2017 This action item would help in Avoiding data errors and forms that are rejected due to wrong data entered and hence will result in more customers overall. 4 Allow partial updates to data. Team Member 3/24/2017 4/5/2017 This tasks allows the customer to partially update the data in their forms and hence is of high priority. Or solution is based on this task mostly. 5 Data from captured screenshots to be used directly to Software team Lead 2/27/2017 3/31/2017 This task would help us reduce the manual work and automate the process, thereby creating a business improvement in the
  • 36. GOAL Statement 36 To shrink the rate of customer withdrawing from onboarding process to 7% or less for next 9 months. To decrease the turn around time to 2 days To have hold time for customers to be less than 40 seconds To reduce operational expenses through innovative approaches 6/8/2017 Original Process New Process Change Turn Time (for 6 moths timeframe) 8.07 2.3 71.49 Abandonment Rate 36% 5.64% (Feb 2014) 24.52 Hold Time 60 sec(2013) 19 sec(Feb 2014) 68.33
  • 37. Hypothesis Testing to Compare Results 37 Attached is the sheet with result from Hypothesis Testing: Since t-Stat is larger than t critical two tail value, we reject H0, hence we can say that there has been changes in Onboarding Turn Time after applying our changes. Thus, the claim on Abandonment rate and turn time has reduced is true. Hypothesis Testing 6/8/2017
  • 38. Control Chart 38 Failure Point or Risk Prevention Check Point or Trigger Corrective Action Process Owner No. of onboarding specialists not proportionate with traffic of customers Estimate and plan for sufficient number of on specialists to address customers Map each Customer or each customer enquiry with On boarding specialists Monitor real time traffic, Employ more on boarding specialists based, so that no customer is unattended Onboarding Specialist One customer or customer enquiry assigned to more than one specialist Not more than one on boarding specialists assigned to one customer Alerting to update entry when more than one specialist is mapped to a customer Every customer should be assigned to a specialist and also make sure the customer is assigned to same specialist in future Onboarding Specialist Some recorded customer voice messages are not attended There should be control to make sure that auto voice messages are attended by specialist Notifications sent to onboarding specialists to remind auto voice messages A target to be set for the on boarding specialist on the number of auto voice messages to be attended in a day or week. Onboarding Specialist Database downtime window interrupts customer service Ensuring that the database is backed up periodically Trigger when unable to access the web onboarding website Plan for database maintenance when customers load is less. Automated Inability in maintaining partial form data at database level Saving data at periodic intervals with timestamps included Checkpoint while saving data to ensure data correctness and integrity is achieved Saving the partial data- flagging as intermediate, and storing complete form data in database Automated Fails to upload user data forms automatically Maintain data isolation, while handling concurrency Trigger to revert back to consistent state before failure occurred Ensure that form is accepted with data uploaded completely or not at all to ensure required data is captured Automated
  • 39. Future Project Ideas 39  Perform data analytics on the customer service data to design a model that predicts the number of onboarding specialists to be employed based on factors like network traffic, time of call etc.  Extend the service as an online chat facility with enhanced help support clues.  Identifying customers, capturing interests and preferences of customers and target to sell more customized software products.  Innovative campaigns and promotions to increase the customer base.  Provide added benefits for existing customers who renew their software contracts. 6/8/2017

Editor's Notes

  1. This page should contain some history about the company and explain why the process or product is under scrutiny. What works well and what is not working so well. Use the project scenario, but feel free to embellish this history with your own details and data. Just be consistent through out the project.
  2. Complete this project scope from the information in the project scenario. Again feel free to embellish as needed for team members, timeline etc. Be Consistent!
  3. Post your data collection plan on the slide. If the text is too small for me to read, then also attach your document to the powerpoint.
  4. Post your solution selection matrix on the slide. If the text is too small for me to read, then also attach your document to the powerpoint.
  5. Failure Point – describe what can go wrong in your process Prevention – describe what you can do to prevent this in the future Check Point or Trigger – what metric will indicate that the process is slipping? Corrective Action – what will you do if something goes wrong? Process Owner – Who is responsible for the monitoring and correction