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TRANSCRIPT
THE RIGHT BALANCE BETWEEN OPERATIONAL COST AND CUSTOMER EXPERIENCE
2
Today’s Presenter
Mr. David Geffen Sales Development Director for EMEA
Interaction optimization, NICE
Challenges of Contact
Center
Side by side approach to
improve operational
efficiency
Handle Time Optimization
First Contact Resolution
Case studies
4
The Challenges
The Balancing Act The pressure of
meeting service goals /
customer expectations
More Channels –
Today’s customers (knowledge/
demanding / influential / now
service)
Increased Contact Center Complexity
More Interactions
Smartphone App
Service Provider Website
Social Networks
Text Messaging (SMS)
Live Chat with Rep on Website
Online Communities Sponsored by Provider
Virtual Assistant on Website
Live Rep via Phone
Physical Location/Branch
Service Kiosks
Automated Phone System
Standard Mail
More Channels, More Interactions
Since the early 2000s organizations expected that the increase in usage of self-service channels would reduce agent-handled calls…
-2%
2%
4%
6%
7%
12%
13%
16%
22%
24%
30%
31%
34%
More Interactions
The Reality
More Channels
Relative Change in Usage
NICE 2012 Consumer Survey Report:
”Please indicate whether you use the method or channel,
more, the same, or less often than you did TWO YEARS AGO.”
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Balancing Business Initiatives
Employee Satisfaction & Productivity
Schedule Shrinkage
Reduce Agent Attrition
Increase Occupancy
Rates
Improve Forecast Accuracy
Achieve Service Level
Goals
Contact Centers need to balance numerous correlated (even contradicting) objectives:
Achieve Operational Efficiency
Improve Customer Satisfaction
Gain Multi-site and Multi-skill Efficiency
Achieve Employee Satisfaction while managing Labor Costs
Reduce Operating Expenses
Maximize contact center efficiency by optimizing objectives
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NICE INTERACTION ANALYTICS IS THERE
To help reduce contact center labor costs by improving agent performance, avoiding repeat calls, and minimizing handle time of the remaining calls that need to be addressed.
A Continuous Process Improvement
Hot Topics
blog
web
Watch for trends
and identify problems
Alert
Find
Root Cause
Ongoing Monitoring
Take Action • Real-time guidance
• Process automation
• Targeted coaching
• Process correction
• Adjust product or service
Analyze Every Interaction • Phone, email, chat, social media
• Words and phrases
• Emotion and sentiment
• Talk-over and silence
• Holds and transfers
0 25 75 100
Agent
Behavior
Process
Inefficiency
Knowledge
Gap
Product Issue
20
40
60
80
android amazon
google App store
Angry birds
youtube
madonna
web
Categorize
Interactions
Cross-Channel Interaction Analytics
Text
Dear DirectCom Online Service, I have a question about my
most recent bill. I paid the full balance online in the amount of
47.61$ on February 16th. When I checked back the payment
didn’t show up, and I was charged 50$ fee on top of that. This is
not acceptable! The online payment confirmation number back
the payment didn’t show up, and I was charged 50 and I was
charged 50 and I was $ fee on top of that. This is not is 49733.
Please verify and make sure I get the fee back to my account.
This is not the first time I have a problem with the online
payment. Best regards, Gina Lowell.
Sp
eech
C
on
text
Misinformed
Frustrating
This is the 2nd time I’m calling
Phone
Social Media
Chat
Web
Phone Survey
Keywords and Topics
Talk Over Analysis
Emotion Detection
Call Flow Analysis
Misinformed
Frustrating
Desktop Analytics
Customer Demographics
Interaction History
Customer Feedback
Keywords and Topics
Sentiment Analysis
Chat Response Time
Social Buzz
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Side by side approach to improve
operational efficiency
First Contact Resolution Handle Time Optimization
Identify Inefficient
Interaction Handling
Pinpoint targeted
coaching opportunities
Invest Saved Time For
the Best ROI activities
Identify causes for
repeat contacts
Assemble interactions
chain across channels
Empower Agents with
best practices and
coaching
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HANDLE TIME OPTIMIZATION
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Handle Time Drivers
Agent Skills Processes
13
Where Do You Spend Your Time?
Cancellation Requests
Upgrade Requests
Billing Inquiries
Technical issues
- Cancellation Requests - Upgrade Requests - Billing Inquiries - Technical Issues
14
Which Calls Are the Longest?
20
30
40
50
Upgrade Billing Technical Cancellation
10
Call Part Analysis
Review Customer Needs
Cross-Sell Offering
Address Barriers
Summarize
Customer Verification
Resolve Customer Issue
Resolve Questions
Successful sales Unsuccessful sales attempts
11%
11%
8% 15%
16%
12% 31%
11% 8% 17%
25%
12%
10%
11%
27%
16%
31%
12%
43%
Spending more time reviewing customer needs and
less time on cross-selling increases chances of
sales!
Review Customer Needs
Cross-Sell offering
43%
16
Handle Time Drivers
Agent Skills Processes
17
Identify Which Agents Drive Long Calls
21.1%
47.5%
23.5%
59.1%
-65.5%
-38.6%
70.3%
6.2%
13.7%
-23.9%
55.4%
0.6%
9.8%
48.5%
33.0%
-80.00%
-60.00%
-40.00%
-20.00%
0.00%
20.00%
40.00%
60.00%
80.00%
Devia
tio
n f
rom
Avera
ge
Some agents having
difficulty activating
new smartphones
Dave Mark Julie Jennifer
Activations
Cancellation
Billing
Upgrades
18
Learn From the Best & Teach the Rest
Easily identify best practices
25
15
10
16
18
37
10
10 20
0 10 20 30 40 50 60 70 80 90
To
p 5
%F
oll
ow
ing
15%
Knowledge Base
Billing
CRM
Notepad
Excel
Duration (seconds)
19 19
Handle Time Optimization – American Airlines
Operational efficiency
One of the world’s largest airlines
40M
Agents
Customer experience
4000
Incoming
calls a year
Background & Challenges
Focused on solving
longs holds and
silences
Domestic-
international
transfers
Mileage
redemption
during holidays
Focused on
lowest
performing
agents
Any HT exception
was sent to
supervisor
The Implementation
38% reduction in AHT of new hire at-home
in AHT organization-wide
EVERY YEAR
2.5 % reduction
The Impact
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FIRST CONTACT RESOLUTION
21
Identify
Assisting agents in real-time
First Contact Resolution Challenges
Measure FCR
Knowledge Gaps
Identify customers contacting us again
Measure FCR in a consistent and objective way, especially across multiple channels
Close knowledge gaps and behaviors drive repeat contacts
Assisting agents in real-time to improve FCR
Identify Repeat Contacts Trends
22
Sun Mon Tue Wed Thu Fri
Sat
Sun Mon Tue Wed Thu Fri
Sat
Categorize and trend
repeat contacts to
reveal insight and
root-causes
Find Call Types that Drive Repeat Calls
23
An escalation was requested
on 19% of repeat calls with
dissatisfaction being
expressed on 18%
The call type with the highest
amount of repeat calls is
billing issues at over 12%
Correlation
reports show the
relation all other
categories have
to repeat calls
Root-Cause Analysis
24 24
Find customer issues
that contribute the
most to repeat
interactions
Drill Down to Unresolved Interaction and
Measure FCR to the Agent Level
Find and link
together interactions
that spread across
channels
Measure unresolved
contact rate
FCR performance at
team and agent level
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FCR process – Summary
Identify and
Measure
Identify repeat
contacts
Find interaction
chains across
channels
Measure the FCR
rate
Identify spikes in
repeat contacts
Root-Cause
Analysis
Agent-related
factors
Which call types
contribute the most
to repeat calls?
Product issues
Service issues
Ineffective
expectation setting
Find Top
Contributors
Agent knowledge
gaps
Broken processes
Agent asking
customers to call
back
Inaccurate
customer
communication
Difficulty accessing
relevant
information
Guidance triggered by Real-Time speech analytics
Identify customer intent in
real time
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“Hi, I’m calling again about my bill
(Till when is my contract with you?).
The prices are too expensive”
Stated Topic Hidden Intent
Guide agent during the call
to lead the interaction to the
optimal result
(Till when is my contract with you?).
28 28
First Contact Resolution - Insurance Company
Faced a large amount of
repeat calls
One of the world’s largest
insurance companies
Background & Challenges
The company found that
agents tell customers
‘you’ll receive this in 5-7
business days’,
generating many repeat
calls. They started a
‘state the date’ initiative,
where agents use a
simple tool to provide an
exact date.
The Implementation The Impact
24%
Reduced repeat calls by:
400,000$ Is saving
29 29
Cincinnati Bell – Operational Efficiency
Background & Challenges
Provider of voice and data
telecommunications products and
services
Interactions annually
Agents 324
3.5m - 4m
2 sites: Cincinnati, OH; Makati,
Philippines
Facing issues that cause
customer dissatisfaction and
repeat calls
The Implementation
1. Leveraged information
from customer
interactions and CSAT
survey to pinpoint
trends in customer
dissatisfaction
2. Call Volume Reduction-
Identified root cause of
repeat calls
3. Automated analysis of
customer interactions
replaced manual
sporadic analysis
The Impact
Increased FCR from
56.4% to 61.1%
Decreased AHT from
556 to 539 Improved customer
satisfaction and feedback
scores from
45.9% to 52.9%
Improved training and
coaching
A Selected List of Companies Already Benefitting
60 sec reduction in AHT
Cut wrap-up time
to 90 sec
6% reduction in
average handle time
11% reduction in AHT
17% increase in FCR
22% reduction in escalations
23 sec reduction in AHT
= €847K per year
Reduced repeated
calls by 50%
40% reduction in AHT
46% increase in
scheduling efficiency
Up 13% FCR
Up 12% in agent
productivity
35% decrease in AHT
20% increase in FCR
$1.8M annual savings
Increased
FCR rate
Improved First Call
Resolution
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Why NICE?
“NICE is in a unique position in the
speech analytics market, as it
offers both LVCSR and phonetic
indexing, real-time and post-call
speech analytics…”
OVUM, “Real-Time Speech Analytics
in the Contact Center”, July 2011
Ranked in the leaders quadrant
of Gartner’s CC WFO magic
quadrant. Gartner notes Interaction
Analytics as a main strength of
NICE**
NICE Strengths, Gartner CC WFO
Magic Quadrant 2012
Speech Analytics Market Leadership
*Source: DMG Consulting LLC, December 2012
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Q&A
THANK
YOU