Agent Evaluations The Cherry Picking Dilemma
Transcript of Agent Evaluations The Cherry Picking Dilemma
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Agent Evaluations – The Cherry Picking DilemmaRoger Lee “Dr. WFO”
October 20, 2016
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Cherry Picking is the act of
pointing to individual cases or
data that seem to confirm a
particular position, while ignoring
a significant portion of related
cases or data that may
contradict that position.
Cherry Picking
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Quality Monitoring
Time consuming
Potentially subjective
Statistically invalid sample set
Days or weeks to establish trend
QA time sometimes better spent
Doesn’t measure every instance
Customer Surveys
Limited response rate
Limited dataset
Participant bias
Delayed responses
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What has your organization
done to combat the cherry
picking problem?
Check everything you’ve ever tried.
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What would you say is the
CORE objective of your QM
program?
I know it’s hard…but pick just one.
5
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What is your sample size
today?
Choose your AHT
Choose your Evaluation Frequency
Choose your Color
AHT
Minutes
AHT
Seconds
Avg Calls Per
Month 1xMonth 2xMonth 3xMonth 4xMonth 10xMonth 20xMonth
0.5 30 16320 0.01% 0.01% 0.02% 0.02% 0.06% 0.12%
1 60 8160 0.01% 0.02% 0.04% 0.05% 0.12% 0.25%
1.5 90 5440 0.02% 0.04% 0.06% 0.07% 0.18% 0.37%
2 120 4080 0.02% 0.05% 0.07% 0.10% 0.25% 0.49%
4 240 2040 0.05% 0.10% 0.15% 0.20% 0.49% 0.98%
5 300 1632 0.06% 0.12% 0.18% 0.25% 0.61% 1.23%
6 360 1360 0.07% 0.15% 0.22% 0.29% 0.74% 1.47%
8 480 1020 0.10% 0.20% 0.29% 0.39% 0.98% 1.96%
10 600 816 0.12% 0.25% 0.37% 0.49% 1.23% 2.45%
12 720 680 0.15% 0.29% 0.44% 0.59% 1.47% 2.94%
15 900 544 0.18% 0.37% 0.55% 0.74% 1.84% 3.68%
20 1200 408 0.25% 0.49% 0.74% 0.98% 2.45% 4.90%
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Traditional QA/CSAT Model: Limited Results
Michael spoke with
320 customers
this week
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Traditional QA/CSAT Model: Limited Results
QAlistened to
1of Michael’s
calls this week
QA script adherence
Greeting
Additional assist
QA skills proficiency
Helpful
Courtesy
Empathy
Michaels’s QA score for
the week was based on an
interaction with just one
customer.
…and11customers
will eventually respond
to a survey about
their experiences
speaking with Michael.
Survey results
Helpful agent 36
Customer effort 54
Satisfaction 72
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Even with speech analytics
Coaching can only
be targeted to
interactions that
included specific
words or phrases
hate your company
bad policy
horrible service
very unhappy
way too difficult
waste of time
frustrated
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Analytics-Driven Scoring
Script AutoScore
Greeting 40
Additional assist 30
Skills AutoScore
Helpful 15
Courtesy 80
Empathy 20
CX AutoScore
Helpful agent 55
Customer effort 82
Satisfaction 45
Allow speech analytics to listen to
ALL of Michael’s
calls this week
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Listen For Customer Experience
CX AutoScore
Helpful agent 55
Customer effort 82
Satisfaction 45
Based on positive
and negative
customer statements
Michael’s
helpfulness score
was 55
you’re not listening
thanks for the help
deserve a raise
amazing help
above and beyond
big help
wish you could help
really helpful
you’ve been very helpful
thanks so much
not helping me
perfect just what I needed
am I bothering you
not what you promised
so very helpful
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Listen For Customer Experience
CX AutoScore
Helpful agent 55
Customer effort 82
Satisfaction 45
Based on positive
and negative
customer statements
Michael’s
customer effort
score was 82
was easy
too complicated
solved my problem
website was confusing
confusing
efficient
tried using the website
got what I needed
took forever
got right through
way too difficult
so very helpful
still waiting
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Listen For Customer Experience
CX AutoScore
Helpful agent 55
Customer effort 82
Satisfaction 45
Based on positive
and negative
customer statements
Michael’s
satisfaction
score was 45
glad I called
hate your company
bad policy
am happy
horrible service
wish I had called sooner
very unhappy
glad I reached you
way too difficult
made my day
waste of time
very relieved
great service
frustrated
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Let’s have a look at YOUR top 3 Core
Objectives, but with analytics-driven
scoring…
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Improve Customer Experience
language that conveys that the customer is angry, frustrated, satisfied or elated with the experience
language that indicates the customer is likely to stop doing business with your company
language that denotes the customer level of effort needed to resolve the request
Customer
Experience
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Increase FCR
Language that detects behaviors that drive issue resolution
Language for specific processes and to reduce errors
Streamline QA tasks
First
Contact
Resolution
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Drive Revenue
Identify and score best practices
in selling
Language that identifies
overcoming objections
Language that monitors
upselling and cross selling
behaviors
Drive
Revenue
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Employee Development/Performance
Verify adherence to skills standards where the use of specific language demonstrates a skill.
Score calls using multiple criteria
Identify agent outliers
Validate manual QA measurement
Employee
Development
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The 100% Advantage
For the customer
Higher level of service
Higher likelihood of first-call
resolution
Automatic voice in the improvement
process
For the agent
Script and skills feedback against
all calls
Consistent script, skills and CX
measurement
Better coaching for all
requirements
For the company
Enhanced QA and CX measurement
Decreased customer attrition
Reduced expenses
Rapid ROI
Higher customer loyalty
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Performance Management DemonstrationOpenText Qfiniti AutoScore
WhitepaperLeveraging Analytics to Score
Customer Interactions
Want to learn more?
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opentext.com/qfiniti
@OTQfiniti
OpenText Qfiniti
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Thank you!
Roger Lee
+1 (773) 632-1453
@DR_WFO