Upload
phamtu
View
219
Download
2
Embed Size (px)
Citation preview
rev 12
1
Six Sigma Project Charter Name of project: Decreasing percent of transferred out calls by 50% Green belt: Submitted by: Joy May e-mail: [email protected] Date submitted: May 21, 2012
I. Project Selection Process
Item Yes No Comments
Key business issue x
Linked to a define process x
Customers identified x
Defects clearly defined x
My project was selected based upon the percentage of transferred out calls that are being done from our office. Tools used: Phone reports, Value Stream Map, p-chart, Fishbone Diagram, C&E Matrix, Potential X Matrix, Impact/Effort Matrix
II. Project Description
Project Title Decreasing percent of transferred calls
Date Charted Target Completion Date Actual Completion Date
5/21/2012 10/17/2012
Project Leader Team Facilitator Team Champion
Joy May Joy May Joy May
Estimated Cost Savings Actual Cost Savings Costs of implementing project
Time $0
Team members Joy May, Janet Reed, Susan Albertson, Kathy Budreau, Misty Tarrh, Sandi Reese, Robin King, Jennifer Swingle
Problem Statement There are numerous phone calls that we receive in the Bursar’s Office that are not able to be answered by our staff. Therefore, they need to be transferred to the correct office. Some callers are transferred numerous times.
Project Goal and Metrics For those with questions to call the correct office initially or to determine how else the caller’s questions can be answered to decrease the amount of calls needing to be transferred out.
rev 12
2
Describe the challenges and support required Determining how callers are initially being connected to our office. Determining who in what office is transferring the callers to our office. Determining what training needs to take place for transfers not to occur. Making sure the report is as accurate as possible.
Project Schedule
D1. Select the output characteristic. Date:5/21/12
% of transferred out calls Criteria: Is there a measurable output? yes Is there a performance standard for the output? no Does variation currently exist? yes Is there a process associated with the problem? no Is the solution unknown? yes
D2. Define the output performance standard. Date:5/21/12
Currently, the transfer out % is anywhere from 20-36%. The goal of this project is to decrease the amount of transferred out calls by 50%.
D3. Describe the process. Date:5/21/12 Required tools: Detailed process map/Value Stream Map
See attached.
M1. Validate the measuring system. Date: Required tools: Attribute Agreement Analysis
When trying to do an Attribute Agreement Analysis, I find it is not possible. There are too many aspects that affect the reason why a call needs transferred, there is no possible way to narrow it down to a few people and a few reasons. Many situations are unique.
M2. Establish current process capability for the output. Date: Required tools: Control chart
See attached p chart. I retrieved a year’s worth of phone reports, which reports the phone calls that are transferred from all lines within the office. At this point, that is the numbers I am using as ACD direct lines were not in use by all phone answerers. I have programmed all ACD phones with the correct ACD transfer line to get more accurate reports directly related to ACD lines in the future.
M3. Determine project objectives. Date:5/21/12
Decrease the amount of transferred out calls by 50%.
rev 12
3
A1. Identify and list all potential causes (inputs). Date:6/19/12 Required tools: Brainstorming, Fishbone diagram
During our Brainstorming, we put together the fishbone diagram. The group determined everything that we could think that would affect each area of the diagram in relation to problems when answering phones.
A2. Screen potential causes. Date:9/6/12 Required tools: Cause and effect matrix
I sent the list of things that affect answering phones out to those that answer phones and had them put the items in order of importance. From there, I determined my top causes of transferring calls to other offices.
A3. Determine the f(x) – key input variable(s) Date:9/15/12 Required tools: Potential “X” matrix I took the top 10 from each phone persons list and took the 3 that were on all lists of the top ten.
Called wrong number
Caller unsure what to ask
Anger level of caller
I-1. Establish operating tolerances for key inputs and output. Date:7/23/12
Timing was a factor for trying to fix the ‘called wrong number’ issue, which was the most found top reason as to why we transfer calls out of the office. There is a main Purdue website revamp currently underway. I am working with other departments and Marketing and Media to see if we can direct callers to the correct place by the main Purdue website. I am also going to look into the Operator department and see how they are deciding who they transfer callers to if the caller calls the operator for direction to the correct department. I met with the group of those who answer phones to do an Impact/Effort Matrix to determine some different ideas to implement to meet the goal of decreasing transfer out calls by 50%. I have implemented the High Impact/Low Effort and am working on the Low Impact/Low Effort suggestions.
I-2. Re-evaluate the measuring system. Date:9/15/12 Required tools: Gage R&R/Attribute Agreement Analysis I started out my project looking at all transferred calls both in and out of our office. After doing research and talking with others, it was determined that the only thing we can really affect is the amount of transferred out calls, the transferred in calls, we have no control over. Therefore, I changed my project from all transferred calls to focus just on transferred out calls. The measuring system will still be the phone reports.
rev 12
4
I-3. Establish final capability for key input(s) and the output. Date:9/21/12 Required tools: Process capability, Control chart There are a few new processes I am working on getting implemented. Some quick wins that I have already implemented that may or may not have any affect. Other solutions are based on timing, and others are longer term. See proposal.
C1. Implement process controls for the key inputs. Date:9/28/12 Required tool: Four levels of control, error proofing
Our level of control is a Level 2 – since we are able to receive weekly reports of phone transfers, we can do weekly process checks and regular auditing to see where problems may still be lingering. Once our Line of Business code reports start to generate, that will continue to help make improvements to different areas.
Follow-up to ensure effectiveness. Date:1/1/12, 4/1/12, 10/1/12 I cannot complete this section until I have established my changes and can gather enough data to see if the changes I have made have met my goal. I will look at my phone reports again in 3 months to see if the changes I have personally implemented have made a difference. Once the Purdue main website has been revamped, I will check in 3 more months. I should be able to see if the improvements made have had an effect in about 12 months. Black Belts must utilize the following additional tools: FMEA, hypothesis testing, regression, design of experiments, and one lean tool of their choice.
September 28, 2012
Purdue University
Bursar’s Office
610 Purdue Mall
West Lafayette, IN 47907
(PH) 765-494-5123
Six Sigma Project: Reducing the percentage of transferred out calls
Prepared for: John Higgins
Prepared by: Joy May
Description of Project:
The Bursar’s Office receives numerous phone calls that are not able to be answered by our staff.
Therefore, the call has to be transferred to the correct office that is in charge of answering the
type of question the caller has. This project is to determine ways to decrease the amount of
transferred out calls specifically, as we have no control over the calls that are transferred to the
Bursar’s Office.
The objective:
To determine changes that can be made to help decrease the amount of calls the Bursar’s Office
is forced to transfer to another department because the question cannot be answered by our
office.
The Solution:
I have implemented a few changes along the way in this project; things I hope are high
impact/low effort. First, I made sure that all ACD phones have the same transfer out number so
we are all being consistent with the phone number we are transferring to. Second, I added DFA,
Registrar, and Admissions phone number to our main Bursar website. Third, I stressed to the
staff that answers phones the importance of asking the caller enough questions to make sure the
caller really does need another office, and that we cannot help them.
The biggest change is the www.purdue.edu main website. The site is being revamped in the near
future, and the 4 core departments in Enrollment Management (Bursar, Registrar, DFA, and
Admissions) met with the people in Marketing and Media that are overseeing the project. We
have given them significant input to make sure these different areas are represented well on the
main Purdue website. It was also suggested that in the Purdue directory, a person could type
‘Bursar’ and our information would come up. That is something Marketing and Media hopes to
make possible. They will also work with the different departments to improve the functionality
of the Google search bar at the top of the Purdue main website.
Things for future advancement:
I am going to look into implementing Google Analytics with our websites. Even though we have
Urchin available to us, it is not user friendly and rather difficult to interpret. Admissions has
been using Google Analytics and went over some of the features. It seems to be a very user
friendly, free service that is forever getting updated. It will be helpful in the future to determine
where users are coming and going to find possible website improvements to make to decrease
calls altogether.
I have had Line of Business keys put on all the ACD phones. In the near future, those who
answer phones will be trained in how to use this key. Basically, this key will track where we are
transferring the majority of our calls to. This will help in determining if there is a better way to
get these callers to the right place the first time.
I have been working closely with Financial Aid to learn more about the Banner screens they use
in their office to look up student’s loan information. I hope to determine what screens will be
easy for the Bursar’s Office staff to decipher and give student’s more information before needing
to transfer them.
Bursar’s Office –Reducing the amount of transferred out calls
2
Percent of transferred calls
36%
34%
36%
30%30%
27%
31%
22%
27%
25%
20%
23%
0%
5%
10%
15%
20%
25%
30%
35%
40%
3
Transferred out calls vs. Total calls
121110987654321
0.38
0.36
0.34
0.32
0.30
0.28
0.26
0.24
0.22
0.20
Sample
Prop
orti
on _P=0.2910
UCL=0.3229
LCL=0.2590
1
1
1
1
1
1
1
P Chart of C1
Tests performed with unequal sample sizes
4
Value Stream Map
5
Fishbone Diagram
6
Cause and Effect MatrixJanet Sandi Kathy Misty Jennifer
Access to banner screens 4 4 6Anger level of caller 5 6 5 4 10Attitude of caller 6 5 3Attitude of receiver 7 4 7Bad connection (cellphone) 9Banner down 1Called wrong number 2 10 1 1 1Caller unsure what to ask 3 1 3 5 4Cross training 6 2Direct mail information 8DistractionsEmail informationExperience of receiver 2 8InterruptionsLack of training 9Language barriers 8Messaging system (interative mssg) 9No accountability to give answer 5
7
Potential X Matrix
Janet Sandi Kathy Misty JenniferAccess to banner screens 4 4 6Anger level of caller 5 6 5 4 10Attitude of caller 6 5 3Attitude of receiver 7 4 7Bad connection (cellphone) 9Banner down 1Called wrong number 2 10 1 1 1Caller unsure what to ask 3 1 3 5 4
8
Impact vs. Effort Matrix
IMPACT/EFFORT MATRIX
High
IMPACT
QUICK WINS
All ACD lines transfer to same phone number
Add other office phone numbers to our main Bursar website
Stress to phone answerers to ask more questions
MAJOR PROJECTS
Changes to www.purdue.edu
Starting up Google Analytics
Cross training
How is the operator determining where to transfer
Changes to MyPurdue to better explain reason for hold
All offices in same building
Fix installment plan calculations
FILL INS
Specific contacts in other offices
Advisors get list of who answers what
THANKLESS TASKS
Low EFFORT High
Answer Phone
P/T = 10s
D/T = 0
% C/A = 98%
3 staff
PT - 10s
L/T - 10s
% C/A - 98%
30-60s
Listen to caller's request
P/T = 1-5m
D/T = 0
% C/A = 80%
3 staff
1 - 5m
1 - 5m
80%
Look up information
P/T = 2-5m
D/T = 2-5m
% C/A = 95%
3 staff
2 - 5m
2 - 5m
95%
Ask for additional
information
P/T = 2-5m
D/T = 2-5m
% C/A = 80%
3-5 staff
2 - 5m
2 - 5m
80%
Look up more
information
P/T = 2-5m
D/T = 2-5m
% C/A = 95%
3-5 staff
2 - 5m
2 - 5m
95%
Answer question
P/T = 2-5m
D/T = 0
% C/A = 90%
3 staff
2 - 5m
0
90%
End call
P/T = 5s
D/T = 0
% C/A = 100%
3 staff
5s
0
100%
caller
Transfer
call
Ask other staff/
office/IM for help
Transfer
call
30-60s
30-60s
20s
20s
60s
60s
- Non-ACD line
- Access to Banner screens (dupl)
- Banner down (dupl)
- Voicemail
- Messaging system (interative mssg)
- Attitude of receiver
- Attitude of caller
- No central call center
- Bad connection (dupl)
- Language barriers
- Anger level of caller
- Banner down
- Time of year
- Interruptions
- Distractions
- Office hours
- Lack of training
- Experience of receiver
- Number of receivers answering
- No accountability to give answer
- Language barriers (dupl)
- Anger level (dupl)
- Cross training (dupl)
- Attitude of caller (dupl)
- Attitude of receiver (dupl)
- Workload (dupl)
- Workload
- Person answering phone not asking
for accurate info
- Caller unsure what to ask
- Cross training
- Access to banner screens
- Website referral
- Called wrong number (dupl)
- Office hours (dupl)
- Time to respond (dupl)
- Number of times transferred
- Called wrong number
- Time to respond
- Volume of calls
- Top 10 caller ?s
- Office hours (dupl)
Transfer
call
MATERIAL
MACHINE METHODS ENVIRONMENT
PERSONNEL MEASUREMENT
- Bad connection (cellphone)
- Reference material
- Website information
- Direct mail information
- Email information