On Target

A quarterly publication of Society of Workforce Planning Professionals

Seven Ways The Pandemic Affected My WFM Role

By Tiffany LaReau, Human Numbers

2020 has been an unbelievable year. We’ve had a worldwide pandemic, a huge cultural movement, universal economic collapse, home-schooling, and a shortage on toilet paper – not necessarily in that order!

Our new shelter-in-place lifestyle meant the end of social gatherings, including my favorite annual event, the SWPP Conference. But then Vicki Herrell figured out a way to turn the whole thing virtual, which lasted the entire month of August. We had software demos, tons of prizes, WFM Jeopardy games, even live musical performances at Happy Hour, and over 60 sessions. Since each session was recorded, I was able to attend 100% of them, something that was always impossible to do at the in-person conference.

The other benefit of a virtual conference is there are no projectors so we were free from the restriction of always having to use a PowerPoint deck and a 24-point font size. This meant I could dig down as far as I wanted to go into the weeds of an Excel file, and that’s my playground, so my silver lining was that I was able to show what was happening and share why it mattered using real-life examples.

#1. Abandonment Rates Fell

What changed here is the dynamic between the customer’s patience level and how long they were willing to hold. It’s not because we started answering calls faster. In fact, we saw volumes go up for call centers who were delivering essential services like banks and utilities and their answer time got worse, as expected. But the abandonment rate got better, which we did not expect.

I don’t know why this happened. Maybe when we were stuck at home all the time we had more time to wait, or maybe we became desensitized to hearing that greeting of “Due to unexpectedly high volume, wait times may be longer.” When the rate at which customers abandon change, it changes the forecast, the repeat caller rate, and the carryover volumes, which all impact the total presented volume.

At the end of the day, my forecast accuracy is measured against all of the presented volumes, so having a method to calculate carryover volume and extra repeat callers that only exist as a symptom of understaffing gives me control over the portion of my forecast that is true signal, representing demand that I want to pass along to my schedulers, vs. the portion that is excess noise that will later need to be normalized and cleaned away.

#2. Everyone Stopped Taking Vacation & PTO

There was nowhere to go, everything was closed. This makes me very worried about what that means for the rest of the year. I know how much time still needs to be given in order to honor all of the earned vacation hours because I track that each week in my long-term WFM Staffing Model. So I also know that if everyone ends up taking all of that time at once, crammed into the last final months of the year, service levels become hopeless.

Some proactive teams have already started coming up with temporary solutions, like rolling over unused hours into next year, and if the virus is gone by then, great, I can easily build that plan. But I don’t know what next month is going to look like, much less next year.

One of my favorite sessions was The Missing Link Between Finance & WFM which I revisited again later in the month thanks to the virtual recordings. In that session, Michael Duffy told us he was once asked to forecast when Covid was going to end. We’re all wondering the same thing!

#3. Handle Times Became Longer

Longer handle times were a recurring theme throughout the conference.  We saw an SWPP Survey from earlier in the year that showed 27% also had increased handle times simply because people were sent home to work.

One of my favorite sessions was Leave the Toxicity Behind:  Overcoming Negativity in the Contact Center by Dave Hoekstra, WFM Evangelist. During this session, Connie Pletcher-Perez asked, “How do you handle choosing which agents work at home vs. who stays in the office?”

Dave answered that there needs to be a methodical way to determine that. Some people love it and adapt very easily while others hate it. The problem is, some agents actually view working at home as a punishment, not a positive. It’s important to understand how each agent personally feels about that. There are a lot of factors we must know before making that decision:

  • How good is their work environment at home?
  • How good is their equipment and tech?
  • Do they have a private space that’s relatively quiet?

Then, what happens when the office reopens?  Some people love working from home, but others hate it, and will have missed talking to people and want to come back to an office. They need the support of actual people around them and working from home doesn’t necessarily suit them. That’s something that may even show up as longer handle times!

Andressa Marlan taught us about Video Chat being the newest channel in a contact center for the 20’s. This is driven even harder with Covid-19, especially now as customers start using video chat in their personal lives. How does that channel change the shape of future forecasts and schedules, if at all?

Andressa had already seen that in action, as video chats were recorded for quality and she reports that so far it is showing very similar behaviors as phone. The big thing that changes is the agent needs to look into camera and make eye contact.  Video chat also brings the benefit of non-verbal communication. There may be longer handle times because a face-to-face interaction is more conversational with a greater chance for small talk.

#4. Forecasts Devolved into More Art and Less Science

We’ve seen brand new seasonality and that’s required a lot of forecasting on the fly. It’s also required a very disciplined cleaning approach to the raw data so that it doesn’t bleed over into my future forecasting patterns. This thing has affected my annual growth rates, my circannual growth rates, my year-to-date growth rates, and everything else it’s touched. And it’s been like this for six straight months, with each month bringing its own new version of crazy to the forecasting party.

That means more manual forecasting, with multiple layers and at multiple stages. I can instantly adjust my choice of forecasting methodology whenever I want, because I generate my forecast in excel and then import it into WFM software, so I’m not limited by anything except my own imagination, and that good judgement is what keeps my forecast from always chasing the actuals. But the real question is, when does this new normal stop being normal?

#5.  Holiday Factors Became Unrecognizable

As the pandemic grew, businesses shut down, people stayed home, and we all learned what “shelter-in-place” meant. For some of the population the days and the weeks started running together in a way where every day felt the same as the day before, and they found a lot of extra time on their hands. (If you have resorted to experimenting with sourdough starters and home brews, then you know who you are.)

But for the rest of us, every day feels like a Monday during a full moon. If you have to run forecasts or generate schedules or manage a real time desk for a group that is tied in any way to essential services, or in a center where they’ve started limiting resources, then you know what I mean. When I was building my Labor Day forecast this year, I almost ignored last year entirely because holidays don’t look the same anymore. Instead, I took my cues from what I saw on more recent holidays like Memorial Day and Independence Day.

It’s not just holidays that have turned upside down. It’s also day-of-week factors and time-of-day arrival patterns. These new shifting patterns made us more aggressive with our forecasting approach. For example,

  • We’re forecasting more frequently, with less turnaround time and closer to the schedule dates, and that’s not really the way I like to do things. I prefer giving the agents as much advance notice as possible to get used to the schedule adjustments we’re throwing on them. I used to be an agent myself, so I know what that was like.
  • We’re using a more severe damping factor when we’re smoothing raw data in order to correct for the instability we see in time-of-day arrival patterns. This makes me nervous because the deeper we have to cut in to that, the more we start hiding with averages and the further it takes us from the actual history.
  • We’re leaning more heavily on real-time seasonality and weighted averages instead of circannual growth rates, which is great for short-term forecasts, but are not reliable ways to forecast long-term.

#6.  Our New At-Home Workforce Gave Us a New Shrinkage Category:  Slow Internets

This was another common theme I heard in other sessions, so I can tell we’re all feeling it!

Sometimes it takes longer to connect thru VPN at home than it did when we were sitting in the office.

Sometimes the VPN connection is lost and we have to sign back in and start over.

Or sometimes, someone in the house is restreaming The Mandalorian for the third time while somebody else is playing Nintendo, and everyone’s on the same network the employee needs for their weekly tactical meeting.

Competing for resources like this could create a bottleneck for internet speed.

During the conference I also heard about some other scary new shrinkage categories, like making time for desk hygiene, thermometer check-ins, or HVAC quality; things we’ve never had to worry about before.

We got a chance to share some best practices, too. One of our virtual networking tools was the Social Lounge where I saw the following helpful post during the session, Where Do Your Goals Come From?

Kevin Mallow:  (audio quality) Masks while actively taking customer calls

Not sure if this has come up in any sessions and if I missed it. But have any companies that have returned to having agents in office experienced better call quality with one style of mask vs another (ex. surgical style vs fabric etc)?

Thank you for asking in the session, Vicki. The feedback received for those that couldn’t distance far enough to not use masks: Face shields created very poor quality. Ventilator style created a muffled sound. Cloth or paper (surgical style) created the least negative impact to audio quality.

#7.  We Turned Off Chat

Resources became limited and it forced a lot of companies into making some hard choices. I watched one of our call centers start layoffs. Some of my friends who work for WFM Software Vendors had to go on unpaid leave and some had to find new jobs. Internally, the pressure on resources made us turn off chat.

As a customer myself, I was disappointed when chat started disappearing from companies I use, because that’s my #1 favorite way to contact everyone. Communication is not my super-hero power, and I like chat because it gives me an opportunity to carefully think about what I want to say before I just blurt it out and at the same time it produces a paper trail of the conversation.

As a Forecaster, that meant volume needed to be reallocated to other channels, like phones. But when we did that we also lost the extra efficiency we were getting from our chat agents who could handle more than one contact at a time. So this wasn’t exactly a 1-to-1 trade off.

As a scheduler, it meant the skills-based assignment changed and the positions needed to be reshuffled a little bit to accommodate that. While we’re on the subject of schedules, I’ve been happy to see that over the last six months, schedule adherence is either as good as better than it’s ever been, and that’s across multiple industries. There have definitely been exceptions, with a few people taking advantage of the situation, but for the most part, people are showing up, they’re on time, and they’re doing what’s needed,

Which goes to show you, sometimes a crisis brings out the best in people.

Tiffany LaReau is a Certified Workforce Manager with Human Numbers and a Charter Member of SWPP.  She can be reached at 770-609-6565, or Tiffany@HumanNumbers.com

Seven Ways The Pandemic Affected My WFM Role

By Tiffany LaReau, Human Numbers

2020 has been an unbelievable year. We’ve had a worldwide pandemic, a huge cultural movement, universal economic collapse, home-schooling, and a shortage on toilet paper – not necessarily in that order!

Our new shelter-in-place lifestyle meant the end of social gatherings, including my favorite annual event, the SWPP Conference. But then Vicki Herrell figured out a way to turn the whole thing virtual, which lasted the entire month of August. We had software demos, tons of prizes, WFM Jeopardy games, even live musical performances at Happy Hour, and over 60 sessions. Since each session was recorded, I was able to attend 100% of them, something that was always impossible to do at the in-person conference.

The other benefit of a virtual conference is there are no projectors so we were free from the restriction of always having to use a PowerPoint deck and a 24-point font size. This meant I could dig down as far as I wanted to go into the weeds of an Excel file, and that’s my playground, so my silver lining was that I was able to show what was happening and share why it mattered using real-life examples.

#1. Abandonment Rates Fell

What changed here is the dynamic between the customer’s patience level and how long they were willing to hold. It’s not because we started answering calls faster. In fact, we saw volumes go up for call centers who were delivering essential services like banks and utilities and their answer time got worse, as expected. But the abandonment rate got better, which we did not expect.

I don’t know why this happened. Maybe when we were stuck at home all the time we had more time to wait, or maybe we became desensitized to hearing that greeting of “Due to unexpectedly high volume, wait times may be longer.” When the rate at which customers abandon change, it changes the forecast, the repeat caller rate, and the carryover volumes, which all impact the total presented volume.

At the end of the day, my forecast accuracy is measured against all of the presented volumes, so having a method to calculate carryover volume and extra repeat callers that only exist as a symptom of understaffing gives me control over the portion of my forecast that is true signal, representing demand that I want to pass along to my schedulers, vs. the portion that is excess noise that will later need to be normalized and cleaned away.

#2. Everyone Stopped Taking Vacation & PTO

There was nowhere to go, everything was closed. This makes me very worried about what that means for the rest of the year. I know how much time still needs to be given in order to honor all of the earned vacation hours because I track that each week in my long-term WFM Staffing Model. So I also know that if everyone ends up taking all of that time at once, crammed into the last final months of the year, service levels become hopeless.

Some proactive teams have already started coming up with temporary solutions, like rolling over unused hours into next year, and if the virus is gone by then, great, I can easily build that plan. But I don’t know what next month is going to look like, much less next year.

One of my favorite sessions was The Missing Link Between Finance & WFM which I revisited again later in the month thanks to the virtual recordings. In that session, Michael Duffy told us he was once asked to forecast when Covid was going to end. We’re all wondering the same thing!

#3. Handle Times Became Longer

Longer handle times were a recurring theme throughout the conference.  We saw an SWPP Survey from earlier in the year that showed 27% also had increased handle times simply because people were sent home to work.

One of my favorite sessions was Leave the Toxicity Behind:  Overcoming Negativity in the Contact Center by Dave Hoekstra, WFM Evangelist. During this session, Connie Pletcher-Perez asked, “How do you handle choosing which agents work at home vs. who stays in the office?”

Dave answered that there needs to be a methodical way to determine that. Some people love it and adapt very easily while others hate it. The problem is, some agents actually view working at home as a punishment, not a positive. It’s important to understand how each agent personally feels about that. There are a lot of factors we must know before making that decision:

  • How good is their work environment at home?
  • How good is their equipment and tech?
  • Do they have a private space that’s relatively quiet?

Then, what happens when the office reopens?  Some people love working from home, but others hate it, and will have missed talking to people and want to come back to an office. They need the support of actual people around them and working from home doesn’t necessarily suit them. That’s something that may even show up as longer handle times!

Andressa Marlan taught us about Video Chat being the newest channel in a contact center for the 20’s. This is driven even harder with Covid-19, especially now as customers start using video chat in their personal lives. How does that channel change the shape of future forecasts and schedules, if at all?

Andressa had already seen that in action, as video chats were recorded for quality and she reports that so far it is showing very similar behaviors as phone. The big thing that changes is the agent needs to look into camera and make eye contact.  Video chat also brings the benefit of non-verbal communication. There may be longer handle times because a face-to-face interaction is more conversational with a greater chance for small talk.

#4. Forecasts Devolved into More Art and Less Science

We’ve seen brand new seasonality and that’s required a lot of forecasting on the fly. It’s also required a very disciplined cleaning approach to the raw data so that it doesn’t bleed over into my future forecasting patterns. This thing has affected my annual growth rates, my circannual growth rates, my year-to-date growth rates, and everything else it’s touched. And it’s been like this for six straight months, with each month bringing its own new version of crazy to the forecasting party.

That means more manual forecasting, with multiple layers and at multiple stages. I can instantly adjust my choice of forecasting methodology whenever I want, because I generate my forecast in excel and then import it into WFM software, so I’m not limited by anything except my own imagination, and that good judgement is what keeps my forecast from always chasing the actuals. But the real question is, when does this new normal stop being normal?

#5.  Holiday Factors Became Unrecognizable

As the pandemic grew, businesses shut down, people stayed home, and we all learned what “shelter-in-place” meant. For some of the population the days and the weeks started running together in a way where every day felt the same as the day before, and they found a lot of extra time on their hands. (If you have resorted to experimenting with sourdough starters and home brews, then you know who you are.)

But for the rest of us, every day feels like a Monday during a full moon. If you have to run forecasts or generate schedules or manage a real time desk for a group that is tied in any way to essential services, or in a center where they’ve started limiting resources, then you know what I mean. When I was building my Labor Day forecast this year, I almost ignored last year entirely because holidays don’t look the same anymore. Instead, I took my cues from what I saw on more recent holidays like Memorial Day and Independence Day.

It’s not just holidays that have turned upside down. It’s also day-of-week factors and time-of-day arrival patterns. These new shifting patterns made us more aggressive with our forecasting approach. For example,

  • We’re forecasting more frequently, with less turnaround time and closer to the schedule dates, and that’s not really the way I like to do things. I prefer giving the agents as much advance notice as possible to get used to the schedule adjustments we’re throwing on them. I used to be an agent myself, so I know what that was like.
  • We’re using a more severe damping factor when we’re smoothing raw data in order to correct for the instability we see in time-of-day arrival patterns. This makes me nervous because the deeper we have to cut in to that, the more we start hiding with averages and the further it takes us from the actual history.
  • We’re leaning more heavily on real-time seasonality and weighted averages instead of circannual growth rates, which is great for short-term forecasts, but are not reliable ways to forecast long-term.

#6.  Our New At-Home Workforce Gave Us a New Shrinkage Category:  Slow Internets

This was another common theme I heard in other sessions, so I can tell we’re all feeling it!

Sometimes it takes longer to connect thru VPN at home than it did when we were sitting in the office.

Sometimes the VPN connection is lost and we have to sign back in and start over.

Or sometimes, someone in the house is restreaming The Mandalorian for the third time while somebody else is playing Nintendo, and everyone’s on the same network the employee needs for their weekly tactical meeting.

Competing for resources like this could create a bottleneck for internet speed.

During the conference I also heard about some other scary new shrinkage categories, like making time for desk hygiene, thermometer check-ins, or HVAC quality; things we’ve never had to worry about before.

We got a chance to share some best practices, too. One of our virtual networking tools was the Social Lounge where I saw the following helpful post during the session, Where Do Your Goals Come From?

Kevin Mallow:  (audio quality) Masks while actively taking customer calls

Not sure if this has come up in any sessions and if I missed it. But have any companies that have returned to having agents in office experienced better call quality with one style of mask vs another (ex. surgical style vs fabric etc)?

Thank you for asking in the session, Vicki. The feedback received for those that couldn’t distance far enough to not use masks: Face shields created very poor quality. Ventilator style created a muffled sound. Cloth or paper (surgical style) created the least negative impact to audio quality.

#7.  We Turned Off Chat

Resources became limited and it forced a lot of companies into making some hard choices. I watched one of our call centers start layoffs. Some of my friends who work for WFM Software Vendors had to go on unpaid leave and some had to find new jobs. Internally, the pressure on resources made us turn off chat.

As a customer myself, I was disappointed when chat started disappearing from companies I use, because that’s my #1 favorite way to contact everyone. Communication is not my super-hero power, and I like chat because it gives me an opportunity to carefully think about what I want to say before I just blurt it out and at the same time it produces a paper trail of the conversation.

As a Forecaster, that meant volume needed to be reallocated to other channels, like phones. But when we did that we also lost the extra efficiency we were getting from our chat agents who could handle more than one contact at a time. So this wasn’t exactly a 1-to-1 trade off.

As a scheduler, it meant the skills-based assignment changed and the positions needed to be reshuffled a little bit to accommodate that. While we’re on the subject of schedules, I’ve been happy to see that over the last six months, schedule adherence is either as good as better than it’s ever been, and that’s across multiple industries. There have definitely been exceptions, with a few people taking advantage of the situation, but for the most part, people are showing up, they’re on time, and they’re doing what’s needed,

Which goes to show you, sometimes a crisis brings out the best in people.

Tiffany LaReau is a Certified Workforce Manager with Human Numbers and a Charter Member of SWPP.  She can be reached at 770-609-6565, or Tiffany@HumanNumbers.com