Welcome to an “At Your Desk” Presentation on Shift Adherence

beCogent’s own “Stickbod” will guide you through, simply follow its

instructions

Click on the next slide button to continue

Shift Adherence is a measure of how closely agents stick or “adhere” to their shift patterns

It measures both how long agents spend in on-phone / off-phone activities and when they spend that time

It does this by comparing the information from the agents shift schedules with the information from the telephone system

What is Shift Adherence?What is Shift Adherence?

Click on the next slide button to

continue

When we accurately predict the volume of calls coming in and prepare shift patterns to meet that volume then Shift Adherence can have a huge effect on our service levels

But if Resource Planning and Operations are not communicating effectively then let’s look at what can happen…..

What is Shift Adherence?What is Shift Adherence?

Click on the next slide button to

continue

Let’s look at one hour of a call-centre operation

0

5

10

15

20

25

30

35

40

45

10:00-10:15 10:15-10:30 10:30-10:45 10:45-11:00

CSA's required CSA's provided

For each 15-min period we predicted that we needed 37 Agents in order to hit the service level of 90% in 20 secs

The shifts have been issued out to all, they include breaks, lunches, Team meetings etc to leave 37 Agents on the phones across the hour

We will look at each 15-min interval in turn to look at the effect of Shift Adherence on Service levels

The Importance of Shift Adherence

The Importance of Shift Adherence

Click on the next slide button to continue

The above example will show the first fifteen minute period.

Each period is identical in that we will receive 90 calls. The average transaction time is 300 seconds (5 mins) and we are trying to answer 90% of all calls in 20 seconds

So how did we do………?

Click on the next slide button to run the

scenario

The above example will show the first fifteen minute period.

Each period is identical in that we will receive 90 calls. The average transaction time is 300 seconds (5 mins) and we are trying to answer 90% of all calls in 20 seconds

So how did we do………?

We received 90 calls at

300 secs per call

We are trying to hit 90% in 20

With 37 agentsResulting in a 90.3%

Service level

During the period there is, on average, no more than one call in the queue at any time and customers, on average, wait less than 7 seconds to be answered

On average, during the period 30 Agents (blue) will be dealing

with a call

On average 7 will be in available (yellow)

All Agents will spend 18.9% of the 15min period in

available

Look over the information in this scenario and then click on the next slide button when you

are ready to continue

The above example will show the first fifteen minute period.

Each period is identical in that we will receive 90 calls. The average transaction time is 300 seconds (5 mins) and we are trying to answer 90% of all calls in 20 seconds

So how did we do………?

We received 90 calls at

300 secs per call

We are trying to hit 90% in 20

With 37 agentsResulting in a 90.3%

Service level

During the period there is, on average, no more than one call in the queue at any time and customers, on average, wait less than 7 seconds to be answered

On average, during the period 30 Agents (blue) will be dealing

with a call

On average 7 will be in available (yellow)

All Agents will spend 18.9% of the 15min period in

available

This is an example of what should happen.

The customer is happy as their call is being answered in a reasonable time

The Agents are happy as they are not under severe pressure

The business is happy as this scenario puts us in the best place to achieve our service levels

and greater Customer Satisfaction

Overall we answered 90.3% of calls in 20 seconds

Let’s see what happened in the next 15-min interval

Click on the next slide button to continue or the previous slide button to return to the scenario

results

One of the Agents takes an extra 15mins on their break so that they can chat with a friend. They don’t imagine that it will matter much as things don’t look that busy

So what is the impact if any………?

Click on the next slide

button to run the scenario

One of the Agents takes an extra 15mins on their break so that they can chat with a friend. They don’t imagine that it will matter much as things don’t look that busy

So what is the impact if any………?

Now with only 36 agents The Service

level has dropped 5% to

85.8% The average queue size is now over 1 and the average wait time has increased by 3 seconds to 10 seconds

per customer

On average during the period 30 Agents (blue) will be dealing

with a callOn average 6 will be in available (yellow)

Availability has dropped 2% to 16.7%

Look over the information in this scenario and then click

on the next slide button when you are ready to

continue

One of the Agents takes an extra 15mins on their break so that they can chat with a friend. They don’t imagine that it will matter much as things don’t look that busy

So what is the impact if any………?

Now with only 36 agents The Service

level has dropped 5% to

85.8% The average queue size is now over 1 and the average wait time has increased by 3 seconds to 10 seconds

per customer

On average during the period 30 Agents (blue) will be dealing

with a callOn average 6 will be in available (yellow)

Availability has dropped 2% to 16.7%

So even the removal of just one Agent can have a huge effect on our service levels

Customers have to wait longer to be answered

The remaining staff are under more pressure as they work harder to make up for the absence of

their colleague

85.8% of calls were answered in 20 seconds in this period. Overall so far in the hour the

service level is now 87.8%

Now on to the third period….

Click on the next slide button to continue or click on the previous

slide button to return to the scenario results

At this point one of the Team Managers decides to bring forward their team’s planned 30-min meeting to 10:30 (it was originally planned for 10:45 to coincide with the arrival of 6 further Agents starting their shifts. The Team Manager has 6 agents in their team also)

What does this scenario show us………?

Click on the next slide

button to run the scenario

At this point one of the Team Managers decides to bring forward their team’s planned 30-min meeting to 10:30 (it was originally planned for 10:45 to coincide with the arrival of 6 further Agents starting their shifts. The Team Manager has 6 agents in their team also)

What does this scenario show us………?

Now with only 31 agents The Service

level has dropped 65%

to 25.3%! The average queue size is now 24 calls (which will

increase the Abandonment rate) and the average wait time has increased by 232 secs (nearly 4 mins)!

On average, during the period 30 Agents (blue) will be dealing

with a call

On average only 1 will be in available

(yellow)

Availability has dropped 15% to 3.2%!

Look over the information in this scenario and then click

on the next slide button when you are ready to continue

At this point one of the Team Managers decides to bring forward their team’s planned 30-min meeting to 10:30 (it was originally planned for 10:45 to coincide with the arrival of 6 further Agents starting their shifts. The Team Manager has 6 agents in their team also)

What does this scenario show us………?

Now with only 31 agents The Service

level has dropped 65%

to 25.3%! The average queue size is now 24 calls (which will

increase the Abandonment rate) and the average wait time has increased by 232 secs (nearly 4 mins)!

On average, during the period 30 Agents (blue) will be dealing

with a call

On average only 1 will be in available

(yellow)

Availability has dropped 15% to 3.2%!

The effect on the office is devastating

Customers are now waiting almost 4 minutes to be answered

This will actually increase the number of incoming calls as customers try to get through, abandon and

then try again later

Agents are taking one call after another almost constantly, increasing the pressure they’re under

This is not an environment to achieve greater Customer Satisfaction

25.3% of calls were answered in 20 secs. Overall so far in the hour the service level is now 67%

And now the final 15-min periodClick on the next slide button to continue or click on the previous

slide button to return to the scenario results

The T/L realises that the office is under pressure and quickly concludes the Team meeting. They assume that as they are now back on the phones and have the addition of 6 Agents just starting their shift that the situation will be recovered soon

Were they right………?

Click on the next slide

button to run the scenario

The T/L realises that the office is under pressure and quickly concludes the Team meeting. They assume that as they are now back on the phones and have the addition of 6 Agents just starting their shift that the situation will be recovered soon

Were they right………?

Now with 43 agents The Service level has risen

to 99.3%! The average queue size is now zero, meaning that each customer is answered almost immediately as the

average wait time is less than a second

On average, during the period 30 Agents (blue) will be dealing

with a call

On average 13 Agents will be in available

(yellow)

Availability has risen to over 30%!

Look over the information in this

scenario and the click on the next slide button when you are ready to

continue

The T/L realises that the office is under pressure and quickly concludes the Team meeting. They assume that as they are now back on the phones and have the addition of 6 Agents just starting their shift that the situation will be recovered soon

Were they right………?

Now with 43 agents The Service level has risen

to 99.3%! The average queue size is now zero, meaning that each customer is answered almost immediately as the

average wait time is less than a second

On average, during the period 30 Agents (blue) will be dealing

with a call

On average 13 Agents will be in available

(yellow)

Availability has risen to over 30%!

Being 6 Agents overstaffed adds only 9.3% to the service level where taking 6 away loses 65%!

Customers are being answered quicker but this is virtually undetectable by the customer

30% availability looks attractive but this often produces the “drag” factor as Agents don’t feel

busy enough, call times increase and we can actually be providing an inferior service

This is wasted resource as we could hit our service levels with 37 Agents

Although the Service level in this period is 99.3%

the overall service level for the hour is 75%. Click on the next slide button to continue or click on the previous

slide button to return to the scenario results

Overall in this hour we achieved 75% Service Level when we predicted that 90% was attainable

In overall shift Adherence terms we had only 15-mins extra off-phone activity than was planned (the Agent who went over on their break)

Though the last 15-minute period helped improve the service level we would need to repeat this performance for the next 2 hours to get back to 90% in 20 overall!

This shows the importance, not only of overall Adherence (taking the correct amount of time) but sticking to the time of the day as well

So how did we do?So how did we do?

Click on the next

slide button to continue

Thanks for watching

For further information….

Contact:

Eamon Goodfellow

Head of Business Solutions

eamon.goodfellow@becogent.com

Produced using Mitan free software