C O N F I D E N T I A L UPA 2007 What Reporting Has Shown Us Jenni McKienzie August 22, 2007.

Slides:



Advertisements
Similar presentations
Numbers Treasure Hunt Following each question, click on the answer. If correct, the next page will load with a graphic first – these can be used to check.
Advertisements

AGVISE Laboratories %Zone or Grid Samples – Northwood laboratory
1 Site Editing on the Portal. 2 After signing on, click on the plus sign for Sites :
1
& dding ubtracting ractions.
Copyright © 2003 Pearson Education, Inc. Slide 1 Computer Systems Organization & Architecture Chapters 8-12 John D. Carpinelli.
Copyright © 2011, Elsevier Inc. All rights reserved. Chapter 6 Author: Julia Richards and R. Scott Hawley.
1 Copyright © 2013 Elsevier Inc. All rights reserved. Appendix 01.
Document #07-2I RXQ Customer Enrollment Using a Registration Agent (RA) Process Flow Diagram (Move-In) (mod 7/25 & clean-up 8/20) Customer Supplier.
David Burdett May 11, 2004 Package Binding for WS CDL.
Whiteboardmaths.com © 2004 All rights reserved
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Title Subtitle.
Prepared by: Workforce Enterprise Services For: The Illinois Department of Commerce and Economic Opportunity Bureau of Workforce Development ENTRY OF EMPLOYER.
Exit a Customer Chapter 8. Exit a Customer 8-2 Objectives Perform exit summary process consisting of the following steps: Review service records Close.
Local Customization Chapter 2. Local Customization 2-2 Objectives Customization Considerations Types of Data Elements Location for Locally Defined Data.
Create an Application Title 1Y - Youth Chapter 5.
Process a Customer Chapter 2. Process a Customer 2-2 Objectives Understand what defines a Customer Learn how to check for an existing Customer Learn how.
Custom Statutory Programs Chapter 3. Customary Statutory Programs and Titles 3-2 Objectives Add Local Statutory Programs Create Customer Application For.
Custom Services and Training Provider Details Chapter 4.
Add Governors Discretionary (1G) Grants Chapter 6.
CALENDAR.
Year 6 mental test 10 second questions
1 Click here to End Presentation Software: Installation and Updates Internet Download CD release NACIS Updates.
The 5S numbers game..
Student & Work Study Employment Facts & Time Card Training
Break Time Remaining 10:00.
Factoring Quadratics — ax² + bx + c Topic
Customer Behavior Intelligence Scott Witter Vice President US Wealth Management Technology.
PP Test Review Sections 6-1 to 6-6
ABC Technology Project
MM4A6c: Apply the law of sines and the law of cosines.
Outline Minimum Spanning Tree Maximal Flow Algorithm LP formulation 1.
Bellwork Do the following problem on a ½ sheet of paper and turn in.
2 |SharePoint Saturday New York City
Green Eggs and Ham.
Dynamic Access Control the file server, reimagined Presented by Mark on twitter 1 contents copyright 2013 Mark Minasi.
Sample Service Screenshots Enterprise Cloud Service 11.3.
Copyright © 2012, Elsevier Inc. All rights Reserved. 1 Chapter 7 Modeling Structure with Blocks.
1 RA III - Regional Training Seminar on CLIMAT&CLIMAT TEMP Reporting Buenos Aires, Argentina, 25 – 27 October 2006 Status of observing programmes in RA.
BIOLOGY AUGUST 2013 OPENING ASSIGNMENTS. AUGUST 7, 2013  Question goes here!
1..
© 2012 National Heart Foundation of Australia. Slide 2.
Adding Up In Chunks.
MaK_Full ahead loaded 1 Alarm Page Directory (F11)
1 How Do I Order From.decimal? Rev 05/04/09 This instructional training document may be updated at anytime. Please visit and check the.
Before Between After.
Model and Relationships 6 M 1 M M M M M M M M M M M M M M M M
25 seconds left…...
Subtraction: Adding UP
: 3 00.
5 minutes.
1 Non Deterministic Automata. 2 Alphabet = Nondeterministic Finite Accepter (NFA)
1 hi at no doifpi me be go we of at be do go hi if me no of pi we Inorder Traversal Inorder traversal. n Visit the left subtree. n Visit the node. n Visit.
We will resume in: 25 Minutes.
Static Equilibrium; Elasticity and Fracture
©Brooks/Cole, 2001 Chapter 12 Derived Types-- Enumerated, Structure and Union.
Converting a Fraction to %
Clock will move after 1 minute
PSSA Preparation.
Select a time to count down from the clock above
Patient Survey Results 2013 Nicki Mott. Patient Survey 2013 Patient Survey conducted by IPOS Mori by posting questionnaires to random patients in the.
A Data Warehouse Mining Tool Stephen Turner Chris Frala
1 Non Deterministic Automata. 2 Alphabet = Nondeterministic Finite Accepter (NFA)
Introduction Embedded Universal Tools and Online Features 2.
Schutzvermerk nach DIN 34 beachten 05/04/15 Seite 1 Training EPAM and CANopen Basic Solution: Password * * Level 1 Level 2 * Level 3 Password2 IP-Adr.
Presentation transcript:

C O N F I D E N T I A L UPA 2007 What Reporting Has Shown Us Jenni McKienzie August 22, 2007

C O N F I D E N T I A L 2 SpeechTEK 2007 Reporting Background Some data goes directly from the IVR into a database where we use Business Objects to report on it Other data is tracked through Genesys Reports are all custom-built in-house All reports are done by DNIS (which we often refer to as a campaign) Our corporate travel campaigns are all about routing to the right agent, so most of what we look at is our leisure travel campaigns

C O N F I D E N T I A L 3 SpeechTEK 2007 Report Inventory DNIS report – Available from the beginning – Call volumes Menupick report – Available from the beginning – Menupick is a variable that is set at the point of transfer to tell us where to route to and what was happening in the call Utterance report – Still in the works, but close – Tracks what people are saying at each menu, both the ultimate choice and the synonym recognized Where callers end – Still in the works, but close – Will track where a caller is in the call flow when the call ends, trying to determine for hangups if they got what they wanted or hung up unhappy

C O N F I D E N T I A L 4 SpeechTEK 2007 DNIS Report Sample

C O N F I D E N T I A L 5 SpeechTEK 2007 Menupick Report Sample – Raw Data

C O N F I D E N T I A L 6 SpeechTEK 2007 Menupick Report Sample – Percentages

C O N F I D E N T I A L 7 SpeechTEK 2007 Initial Menu Rewrite Moved away from leading with phone number prompt to offering the caller phone number or trip ID, but highly recommending trip ID. Callers who gave a phone number then had to say where they were going and when for security reasons, which was proving problematic. Before: To see what I have on file for you now, say or enter your phone number. (pause) You can also say one of the following: use my trip ID, shop for new reservations, make a new reservation, flight information, Travelocity Master Card, or gnome joke of the day. After: The fastest way to look up current reservations is with your trip ID. So, say use my trip ID, use my phone number, or I dont have a reservation yet. Implemented on 1 of 4 IVRs on Travelocity branded campaigns for one week to do an A/B comparison.

C O N F I D E N T I A L 8 SpeechTEK 2007 Initial Menu Rewrite Findings Transfers from problems stemming from giving the city and date after the telephone number dropped from 9.7% to 3.2%. Customer championship transfers (which means we found their trip and theyre in the middle of it) went up from 7.9% to 9.9%. Calls completed in the IVR actually went down by about 0.8%. Our best guess is that fewer people are getting upset to the point of hanging up. All in all, if you take all the changes directly related to the change, weve seen a shift from problem related transfer reasons to correctly identified trip related ones of 6.2%.

C O N F I D E N T I A L 9 SpeechTEK 2007 Broader Findings We then implemented the change across all leisure campaigns. Before the change, one partner (who well call Blue) had 33% of all calls for sales. After the change, it has been about 46%. Another campaign (Green) went from 30% to 41%. These were the only two campaigns to see this kind of shift. Travelocity VIP callers were saying agent at the initial menu or during the sign-in process 30% of the time. It dropped to 13%. This is the biggest shift of any campaign. They are now getting their tasks identified much better, allowing them to get to the right agent. Our Green partner callers were the worst about obediently giving us their phone number even when they didnt have a trip booked. Their transfers due to problems trying to look up a trip by phone number have dropped from 17% of calls to 3%.

C O N F I D E N T I A L 10 SpeechTEK 2007 Reward Points Upgrade Our blue partner uses a reward points system. Many of their calls are for help in redeeming these points. They recently had a scheduled upgrade to this system that prevented customers from using that feature for a couple of days. We added messaging to the IVR and website. We saw a definite dip in sales calls and increase in calls ended in the IVR during the upgrade. Afterwards, there was higher than usual call volume, seeming to indicate people calling back to do what they couldn t do over the weekend.

C O N F I D E N T I A L 11 SpeechTEK 2007 Sales Call Analysis – June % of calls are for new reservations It varies wildly by campaign Have used this data to analyze IVR offerings and staffing

C O N F I D E N T I A L 12 SpeechTEK 2007 Existing Air Reservations Recently added staff that is only trained in air reservations Expanded Cancel, Change, and Service menupicks to include the product For June 2007, 17.0% of calls resulted in menupicks of CancelAir, ChangeAir, or ServiceAir Menupick report helps us forecast staffing for that agent group It also shows us the potential value in adding functionality to the IVR around these types of requests

C O N F I D E N T I A L 13 SpeechTEK 2007 Adding CTI Looking to add CTI to one of our call centers. But how many calls would benefit from this? Looked at the menupick report to see how many calls were in the Service, Cancel, or Change categories since these are all calls where the trip was identified and could be passed to the agent. We are using this data to help determine how many licenses are needed.

C O N F I D E N T I A L 14 SpeechTEK 2007 Happy/Sad Report Sample DnisCallTypeDATEResultMenu NameH/SCalls% of Type% of All 3237leisure07/31/2007callerHangupAfterFlifo H %6.90% 3237leisure07/31/2007callerHangupRepeatMenu H %10.34% 3237leisure07/31/2007callerHangupFlifo_DepOrArr S %3.45% 3237leisure07/31/2007callerHangupFlifo_FlightOrCity S %6.90% 3237leisure07/31/2007callerHangupFlifoRightYN S %3.45% 3237leisure07/31/2007callerHangupGetCity_FromCityPair_Arr S %3.45% 3237leisure07/31/2007callerHangupInitialMenu S %31.03% 3237leisure07/31/2007callerHangupOnTrip S %3.45% 3237leisure07/31/2007callerHangupTime_Departure S %3.45% 3237leisure07/31/2007transferDestination H %6.90% 3237leisure07/31/2007transferNewResProduct H %6.90% 3237leisure07/31/2007transferInitialMenu S %13.79% 3237leisure07/31/2007 Total Calls leisure07/31/2007 Total Hangups % 3237leisure07/31/2007 Total Transfers % 3237leisure07/31/2007 Total Happy % 3237leisure07/31/2007 Total Sad % 3237leisure07/31/2007 Happy Hangups %17.24% 3237leisure07/31/2007 Sad Hangups %55.17% 3237leisure07/31/2007 Happy Transfers %13.79% 3237leisure07/31/2007 Sad Transfers %13.79%

C O N F I D E N T I A L 15 SpeechTEK 2007 Utterance Report Initial menu has shop for and make new reservations, based on usability testing. Whats the usage for each? Is it warranted to keep them both? Error prompt in trip lookup process is as follows: – OK then, to try again, say try a different phone number or use my trip ID. (small pause) You can also say shop for new reservations, make a new reservation, flight information, or agent if none of these are what you need. – Impression from call monitoring is that people tune out all these choices and jump on agent. Anecdotal evidence is dangerous. I need the data to back it up before I contemplate a change here.

C O N F I D E N T I A L 16 SpeechTEK 2007 Thank you! Jenni McKienzie