Running
a successful help desk requires tracking certain important metrics that
will contribute to providing exceptional customer service. Having been
in the industry for over eight years and communicating with business
heads from various industries, I have understood the fundamental
parameters that govern the performance of a help desk. I have summed
them up here for you in no particular order.
Overall ticket count
Help
desk is all about tickets. A simple report of your monthly ticket
inflow will show you the total number of tickets you have received and
how many your support staff have been able to handle. This ticket volume
metric will help you understand the capability and efficiency of your
support process and also give you insight on improving throughput.
Ticket Categorization
This
metric shows what kind of tickets you have been receiving. If you see
that a specific type of incident has been commonly reported multiple
times, it is an area that requires your attention for a permanent fix.
This will help in improving root cause resolution and reducing incoming
ticket count. Channel-wise Distribution
A
help desk may support multiple channels of incoming communication like
email, voice and live-chat. A report on the channel-wise ticket inflow
will show what mode of communication your customers prefer the most. Use
this metric to gauge what channels require more concentration of staff
and what channels require lesser investment. First Response Time
First
response time is the time taken between an issue arriving in the help
desk system and being responded to by a support staff. First response
time is a focal metric as it has a direct impact on customer
satisfaction ratings. A customer expects his issue to be responded to
immediately or at least notified of the submission so that he does not
lose faith in the customer service. Strong customer relationships are a
direct result of good First Response Time. Mean Resolution Time
This is the time taken between a ticket arriving in your help desk system and being permanently resolved for the customer. Mean Resolution Time,
also knows as Average Wait Time, decides whether your customer is going
to be happy with your customer support. Resolution time may vary based
on ticket type, but well defined SLAs are necessary to ensure that
customers are receive predictable support services. Track MTR, improve
performance and save cost and time for your support function.
Ticket Resolution Count
With
reference to our first metric, ticket inflow should be evenly matched
with ticket resolution. If the ratio of ticket resolution to ticket
inflow is very low, it shows that either you are understaffed or your
staff are not sufficiently skilled to handle this volume of support
requests. Staff Performance
At the end of
the day, you need to evaluate the performance of your staff
individually. By viewing a report on individual staff performance, you
will gauge which staff member is showing good response time and
resolution time and which staff member needs improvement. This also
shows if a staff member has been overloaded in a month and will help you
build a stronger ticket assignment model for your support staff. Customer Satisfaction
All
said and done, customer service finally boils down to this tricky
metric. You need to ensure your customers are being satisfied with your
support. A simple report showing the feedback/survey for each ticket
from all your customers will give you an idea of whether your
customers/clients are happy with your support or if any area requires
immediate improvement. This could also be staff-specific so that you can
see if customers like the work of a specific support member and use it
to track their performance
So
go ahead and start tracking the above metrics on your help desk to
build the best customer support model for your organisation. HappyFox Help desk reporting
offers some great options for support metrics. If you think we have
left out some critical metric, feel free to drop your opinions/inputs in
the comments and we will be happy to add them in our list.
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