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Results from the
pilot program were outstanding and exceeded the highest expectations.
Agents were monitored for performance in two major areas of business
impact:
-
First Call
Resolution - Agents using the EPSS showed a 16% increase in
first call resolution over their peers.
-
Call length
-Agents using the EPSS demonstrated average call lengths between
28% – 40% SHORTER than their peers! Average call length reductions
were between 5 and 8 minutes per call on each product.
As an example of
the magnitude of these results, a call length reduction of 30-60
seconds is considered substantial in a high volume call center
environment. A 60 second reduction on 1 million calls per month
would yield an average yearly savings of 9 million dollars. However,
reductions in call length must not negatively impact first call
resolution or the savings will be lost on repeat calls. Large
reductions in call length are typically very hard to achieve. Call
length reductions coupled with increased resolution rates are
exceptional.
Evaluation and
Measurement Process
To
reduce the influence of a Hawthorne effect during the pilot agents were not told
that their behavior would be monitored. Agent behavior was observed
both through call monitoring and web tracking. Average EPSS page
hits per call were 18.1, however there was no correlation to the
timing of the calls. In other words, EPSS usage occurred at various
times before, during and after customer phone calls. HP's web
SOURCE EPSS provided an always-on, learning-on-demand environment
that was used by agents whenever needed.
Moving
Into the Future
As
mentioned earlier, production version 1 has been introduced across
all product lines during the First Half FY’01. The results are
proving so powerful that version 2, using meta-tagged RLOs, will
roll out in beta form on September 4, 2001. Usability testing is
receiving phenomenal acceptance, indicating new agents teach
themselves to use the tool very quickly when simply given an
activity and asked to use it. Agents no longer receive training
classes on new product introductions, they’re simply notified in
advance of the new product they’ll be supporting, and are invited
to explore the site and complete the on-line lab activities. Agents
who need to answer questions across product categories or across
different product types are able to easily transition, since they
already know what the navigation structure and content will be for
all products.
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