Problem Solved: The IISE Podcast

Welcome to Problem Solved.

October is National Ergonomics

Month, and today we're looking at

how technology

is changing

the way we understand

the human side of work.

Tools like motion

capture, computer vision

and artificial intelligence

can now help ergonomics

identify and quantify risks

in ways

that weren't possible

or practical not very long ago.

My guest today is Kristianne Egbert,

senior corporate economist

at Briotix Health

and a certified professional ergonomist.

Kristianne has spent 25 years

working in ergonomics across

a variety of industries with expertise

in risk assessment,

program management

and design consultation,

and the use of technology

to improve workplace performance.

Kristianne, welcome to Problem Solved.

Thanks for having me.

It's so good to have you here.

You and I first met

at the Applied Ergonomics

Conference 2026,

and it was really nice

to talk to you then.

I was wondering

if you would kind of start

the conversation by

telling the story that you told me

at Applied Ergonomics

about how you sort of developed

your interest in engineering

and how you kind of got into the field.

Yeah, sure.

I'd be happy to.

And I feel like it's,

quilt work of my

childhood, realistically.

So, growing up, I'm one of four girls.

I'm the youngest of four girls.

And and everybody always says, oh,

you're poor dad four girls.

My dad raised us to be strong,

independent women.

And thinkers more than anything.

And he's a he was a retired NASA engineer

that 42 years working at the,

Cleveland NASA Lewis Research Center.

It was called back then.

And again,

just kind of

taught us to figure things out.

If something's broken,

let's work together

and figure out how to fix it.

And, part of what we did

growing up for fun

was to take canoe trips.

And as our family was,

you know, getting bigger and bigger.

And my sisters

and I would go along a couple of us

anyway, and my cousins and my uncle

and my dad

was having a hard time figuring out

how do we bring enough canoes.

And maybe as those girls probably started

packing more and more things.

He needed more space.

I'm I'm not sure,

but it was to the point

that he, you know, he had a pickup truck

and he had a thing on top of it

so he could carry a canoe

and have a little kayak

that he had built himself,

that he put in the back.

And we, we were kind of out of space.

And he's like,

I've got to figure out what to

what to do.

So that we can we can keep doing this.

And as we were kind of thinking about it,

I was like,

wouldn't it be cool

if it could just be made a bigger one?

And it just went right on

top of this medium sized one that we had.

And again, ever the engineer,

he kind of let it stew

and simmer for a while.

He's like, you know,

I think we could probably do that.

We could make the cross pieces

that come out.

We could just assemble it

when we get to the river and have,

you know,

little butterfly

nuts on the end

and put the cross pieces in so that it

it can stay supported.

And lo

and behold, that man built that canoe.

Pretty sure it is still in operation

today.

So, it little ideas like that, actually,

the next iteration

that came after it,

because again, we needed more

canoes was a break in half one.

And so then we built

he built the break in half

one that again was held together

the exact same way.

Then he built an extension

piece for the middle of that one

to kind of create a middle seat.

The ultimately, I think

growing up,

just my ability

to kind of think outside the box.

And I went to school

to become a pharmacist, actually,

and I met

organic chemistry and I was like,

no, this is not what I should be doing.

My dad always said,

you'd make a great engineer,

you'd make a great engineer.

And you know, when you're a teenage girl,

you don't listen to your dad.

No, no, I don't want to do that.

And then I kind of started

thinking about it like,

maybe this is for me.

And one of my advisors at Ohio State

said,

talk to me about industrial engineering

and then talk to me about human factors.

And I was like that.

That's what I that's what I want to do.

Well, that's what

I've built a career out of.

So it's it's been great.

I love that that's amazing.

I think that a lot of people

can identify with that feeling of like,

you know,

you kind of have a knack for something

when you're little

and being able to follow

that through into an adulthood

and making a career out of it,

I think that's awesome.

Yeah. Yes.

And again,

I always say like, I'm I don't know,

I don't know that

everybody loves what they do.

And I'm not going to say that

every day is always a great day.

But ultimately I love what I do

and I get to come up

with creative solutions for things

and think outside the box.

And I appreciate that.

So yeah, that sounds perfect.

Yeah.

Well,

I'd love to go ahead and dive

into our main conversation.

Maybe we could start by talking about,

motion capture.

Okay.

And what that is,

maybe you can just kind of walk me

through it,

walk our listeners through it.

What it does,

what it measures, how it measures it,

what data does it collect, all of that.

Can you just talk about that

for a minute? Yeah, sure.

So motion capture can really be

any number of things.

Right now,

I think when people think about

motion capture,

they're really specifically

thinking about video capture.

But realistically, motion

capture happens

with wearable sensors as well. Right?

I have a smartwatch on and it's

capturing my steps every single day,

and it's capturing my heart rate

and all of these other things. Right.

So it's it's

using the motion to capture information

that it's collecting about me.

So wearable sensors,

you know, we'll say

five years ago were probably the big talk

when it came to motion capture of,

oh, I've got a sensor here

and here and here, and it's

going to measure my joint angles

and it can do this, that

and the other thing, right.

It can collect all sorts

of different information.

So technically

that could be considered

motion capture device, if you will.

I think that's kind of fallen

in a different direction.

And ultimately it's costly equipment.

And then having to

to deal with all of the data

that that brings in.

Ultimately now when you hear

motion capture,

typically what people are talking about

is video capture.

And that is taking something

like my phone and collecting a video

and uploading it into a system

that can then process it.

So video

capture is a form of motion

capture to me.

And again,

a wearable sensor is a form

of motion capture.

But I think typically we're,

we're

talking more about motion

capture or video capture. Okay,

And so

as this has developed over the years

and as it's developing now,

I think that

AI is playing a bigger role in this.

Is that happening?

And can you talk about that. Yeah.

Because ultimately,

you know,

my camera is capturing motion,

but it's not doing anything with it.

Right?

Where AI comes in is

what is it doing with that motion

that it's capturing.

And so it's utilizing,

AI to be able to recognize, oh,

that's an elbow, that's a shoulder

that's it's picking up,

joints on our body or points of interest

on our body

to be able to compare it

with something else.

So my shoulder compared to my torso,

it's going to help me

pick up my shoulder flexion.

Right?

Or, knowing what my neutral position is

when I'm bending forward

to be able

to pick up for back flexion or twisting.

So that is where the AI comes in.

And the machine

learning of kind of teaching it to say,

okay, these are the data points

that I'm looking at.

And here's what you're comparing it to

so that it can

then provide me with joint angles.

And it's great because it can make things

so much faster rather than, you know,

two years ago.

I’ll say,

full disclosure,

two years ago,

when I was doing risk assessments,

I would sit at my computer

and I would have a video up

and I would freeze it.

And because I'm an engineer,

I would take out my protractor.

My,

AT and PT counterparts

would probably pull out their goniometer

And okay,

that's probably about the worst case.

Let's measure the joint angle. Right.

That's yeah, that's how we had to do it.

Or we're looking for risk thresholds.

Okay. That's less than 20 degrees okay.

That's definitely between 30 and 60.

And maybe I don't need an exact joint

angle in there,

but I would

I would still have to make

those decisions on my own

and really kind of pick up

and count on my own,

you know, measure on my own what that

what those risk thresholds are

and then count the frequencies

of how often does

that occur in this minute.

And so that might be looking at the

the timer on the video

that's in front of me to say,

okay, a minute has passed and I counted,

six instances of that. Right.

I'm counting

that. Now with the computer vision

that's out there.

It's capturing that for me

and spitting it out in seconds.

What does that do for you

as the ergonomist who's

performing the risk assessment

and all that?

I mean, I'm sure it's helpful,

but I mean, it's

it's got to be some drawbacks as well.

Or. Well, sure. There there are. Yeah.

I think people ask all the time, like,

are you worried about AI taking over

your job?

I'm like, not yet. Anyway.

What it allows me to do.

So first of all, it's not perfect, right?

I think the analogy that we often hear

is kind of pilot and copilot. Right.

But I kind of

still need to be in the

in the driver's seat.

I like to think of it as like an e-bike.

We rented e-bikes last week,

and I'm like,

I still have to pedal this thing, right?

Like, it's

not just it's not a moped,

it's not driving itself.

I still have to pedal,

but it's making it a lot easier

for me to pedal.

I like that analogy

simply because I'm still

actually having to do the work.

So there's a couple of things

that happen.

I can upload that into my system,

and it will crank that data out for me.

Sometimes I'll look at it

and be like, what? Why?

Why are the legs high risk here?

He's walking

like, that's not a risk factor in.

And of itself, right.

And different things can happen.

And it's not always right.

I think it's consistently getting better,

but it's not always right.

So I have to go in and check it. Right?

I still have to be in the control

seat to say,

yeah, that didn't happen or no,

that's what we call a step

that's not actually,

you know, knee flexion

or something like that.

So you, you still have to have eyes on it

and you still have to know

and understand what you're looking at.

Right.

There is an example that you gave where,

I think it was ChatGPT

that was used in

like a packaging

scenario, and that did not go well.

I can't remember all the details.

But I know no, I know,

I'll tell you that story.

I like that one.

And again, it's a

it's a great example, right?

We all have our AI stories.

I told one yesterday on our webinar

about nearly poisoning my dog.

Because because I gave her toric.

Because it was supposed

to be an anti-inflammatory.

I didn't know

I supposed to titrate her up.

I didn't know to ask

if I needed to titrate her up. Right.

Yeah.

Yeah, this this is a similar story

in that,

this is

somebody was like, oh,

hey, there's this this risk

that's been identified.

Somebody was taking a very heavy part

and sliding it

from the floor onto a pallet.

And they kind of were shuffling it up.

They're kind of pivoting up

and sliding it on,

and they were like,

oh, yeah, okay, that that looks bad.

Let's just drop this video into ChatGPT

and see what it comes up with.

And, you know, with some prompting.

And they ended up putting together

this gorgeous looking report

and it talked all about the

ergonomic risk factors

and the risk factors that it identified.

And then it went so far as to apply

an ergonomic assessment tool.

So it decided to apply the NIOSH

lifting equation,

which anybody that practices

ergonomics knows

that the NIOSH lifting equation

is meant for a lift.

As the name implies,

there's very specific parameters

for which the NIOSH can be used.

So it has to be a two handed

lift has to be a single person lift.

There can't be any leverage involved,

which in this case

there was leverage involved. Right.

Because they were kind of tipping it,

lifting it up on one side,

tipping it onto the pallet,

sort of sliding it into place.

It was a heavy part,

I don't know, 150 pounds,

not something somebody would be lifting.

Right. Not from a deadlift type of thing.

So AI put together this wonderful

looking report

and it said they said oh,

that the NIOSH lifting index is ten.

Basically anything over

one is indicating risk.

So now we're saying this is ten times

heavier than what

somebody should be lifting.

And they were like, oh this is terrible.

We've got to fix this.

And I'm like, okay.

It wasn't a super safe task,

but it wasn't ten times, you know what?

What should be happening

because it wasn't being lifted

and that wasn't the right tool

to be used.

So ultimately, to an untrained eye, you

you wouldn't know that

that report was just fake, right?

It was not

it was not using the right assessment

tool.

Similarly,

I am not an animal nutritionist

and therefore I didn't know

that Tiny shouldn't have,

a large dose of turmeric

on her first go round.

So if you're not an expert in something,

you're going to read it.

You're like,

oh yeah, oh, okay, I can get behind that.

And really,

even if you apply logic like well okay.

Yeah, that that seems right.

So it's a little bit

more than just kind of reading something

through to make sure

something makes sense.

It's it's

really having some expertise around it

so that you know

that what it's giving you is correct.

So what does it mean,

Like if companies are listening right now

and they're just thinking, oh, well,

we can use AI as a replacement

for like a real ergonomics.

I mean, that's

that's a big warning right there.

What are what are your thoughts on that.

Yeah. Again.

Think of it as the e-bike.

Right.

You can I honestly,

a lot of organizations

don't even have an economist on staff.

Right.

Typically it falls to their health

and safety professionals.

In the office, oftentimes

it falls with HR,

it, it,

it sits with a lot of different

people is kind of,

other duties as described a type of line

item sometimes maybe it is

even a line item.

But let's say in the example

of a safety professional, okay, this is

this is their area

because it is about keeping people safe,

but they're also making sure

that lives aren't being lost

and the appendages are being cut off.

And,

they're not being exposed

to hazardous chemicals

and that sort of thing.

So sometimes real safety

kind of takes over and ergonomics

kind of gets sidelined.

This gives them the ability to do

what they should be doing with maybe

the time that they actually

have to be able to put it into it,

because it streamlines the process.

It can help extend their their reach

a little bit

because they can say,

hey, I'm

going to have my floor supervisors

collect the videos,

drop them into Ergo Plus.

They can even put in the information

because it's easier to use. Sorry.

Ergo plus is our platform

into whatever ergo

platform you're using, right?

They can drop it in

and then I, as the expert,

can go in and say, okay,

and if something doesn't look right,

no, that's not the right force here.

Okay.

Here's the tools that we want to apply

to this to be able to truly

make sure and again kind of

pointed in the right direction

so that we know

we're getting valid results.

Yeah.

We did recently, we did a podcast

and we talked a lot

about the Frank and Lillian Gilbreth

and how they like

one of the very

first things that they did was they,

attached lights to finger tips

and then they took photos.

And so that was like

one of the very first examples

of motion capture.

But they even did it like on,

in like for clerical work.

So they like, they were trying to reduce,

the motion of the person and like it

just even for clerical work.

And I just thought that was interesting

how that was like the first example.

And now it's come so far.

Right? Oh, yeah.

Definitely.

I mean, it just

I think about ergonomics when,

you know, I'll say

ten years ago

I was kind of working part time

consulting on my own for a while.

Ten years ago

when I started with Briotix,

I was like,

I can't believe we're still doing this

the same way that we did this

at the start of my career. Right.

I have a PDF of REBA,

and you kind of

look at the pictures and you're like,

how old is this assessment tool?

And we're

still using these kind of old tools

as our way to, to understand risk.

And the fact that we're using pencil

and paper, I literally was like,

there's got to be a better way.

And realistically there were,

but there may be not, accessible

for everybody. Right?

Or.

Yeah, sure,

we can use these wearable sensors,

but then somebody has to know

how to use them,

and we have to be able

to process that data.

And somebody has to want you

to stick these sensors to them.

And it's it's a lot of extra work.

And so now to kind of be able

to come up with something like this

that makes that

achievable and these, these ergonomics

program platforms,

they're not overly expensive.

They're right.

It's not something that's out of reach

for most organizations.

It it just makes things so much easier.

And realistically

they're used in the office environment.

Now to

I know we're working on one

that you can upload your video,

and it instantly provides

an assessment report.

What makes that a heck of a lot easier?

Right.

And again,

something that's achievable for people.

So yeah.

Well,

as much as you've seen

things change over the last few years

and now we're like looking ahead,

what do you think

like an ergonomic

assessment might look like in another

five years or in another ten years?

Honestly I think

I am expecting improved assessment tools.

Like I said,

I alluded to the REBA before.

It's one that everybody knows

and the REBA is

technically the way

that it was validated.

Is that the moment and time tool.

So right now

when I'm lifting this box

in this position, at this freeze frame,

this is what the risk is,

and I can put in some of the,

repetition data to,

to help with that scoring.

But it is for that one posture.

It's not looking at all

the different postures. Right.

A lot of organizations

have then

come up with their own tools that are,

the kind of look at the entire job task.

Briotix has one,

Again, many different

organizations have them,

and that's important because

we really kind of need to see overall

what's happening and understand the risk

for all of our different body parts.

What I think

is likely going to happen is that

these tools will grow,

and we're going to have

maybe some new ones.

And there's a lot,

a lot of newer ones

already for the hands and wrists

that I think a lot of research

has been done on

for the hands and wrists.

And I'm expecting or maybe I'm

maybe I'm wishfully thinking or hoping,

which isn't a great strategy.

But, hoping that

the our full task

and whole body assessment

tools will will grow because of this.

And already with the

with the video capture,

most of these programs

they actually will run a REBA.

But they're many of them are running it

across the entire job task.

They're not using it as a moment

in time tool.

It's probably okay to do that. Right.

And maybe not how the tool was validated.

Maybe somebody

is working on that validation.

That would be cool.

But I think that's,

I think that's going to change.

And ultimately,

because of the very nature

of machine learning,

I think it's going to keep getting better

and better.

I know

another thing that we're working on,

and it's super cool

for me to see happen, is we started out

with like Solutions archive,

and it was a database for us. Right.

I started with,

okay, here's a bunch of things

that I know

are helpful

tools that people should know about.

Yeah.

And

we then built it into Ergo

Plus so that now our clients

have access to a solutions archive.

And I called it our Problem

Solutions portal is what I called it.

And so it would say work is too heavy.

Work is too low. Work is too high. Right.

So then let's talk about platforms

to raise people up or lift assists off

work is too heavy carrying.

Let's look at cards

right so that you could kind of

you didn't have to know

what the solution was.

But if you knew what the problem was then

that'll help get you there.

So that was just

kind of built in of like,

hey, here's some ideas.

But now we're able to use

AI to say, oh, here's what the risk is.

I see them bending.

The work must be too low.

Here's some solutions

and it'll throw ideas out

as kind of a brainstorm mechanism.

And I love that because a lot of times

people are like, okay,

you know, real analytic people.

Okay, great. I can assess all day long.

I don't know how to fix this.

And that helps take some of that away.

And I think that's

I think that's really cool to do.

And then within organizations,

within their own solutions

to say, oh,

this solve this problem

over at this other location,

kind of from an enterprise

standpoint, solution sharing is so hard

across organizations to say,

oh, what are they doing

on the West Coast?

Where they have that same job?

Nobody's talking, or

nobody thinks their ideas

are that great,

that they're worth sharing,

I think is honestly what it is.

A lot of times

I think it's going to help with that

a lot, too.

I was going to ask, do you

is there something that you wish

organizations understood more about,

like the people doing the work

or when they're designing the jobs

or the processes or the workspace?

And maybe that's one

thing like,

do you wish that they would

communicate better or what do you think?

What's something that you wish

organizations understood better?

I think understanding

when to get an ergo team involved

is important, right?

I often times, well,

one of my clients needs ergo sign off.

Well, they don't have an ergonomist.

And so oftentimes

that comes my way like oh hey, we've

got this new equipment coming in.

We forgot to get our ergo sign off.

Can you look through this

and make sure it's okay?

Okay.

Well, you've already designed

this piece of equipment.

So like, what am I supposed to do

if it's not okay, right. How?

I can't sign off on that.

Ultimately,

I kind of have to pivot and say,

okay, well,

looks like the load height,

let's say

a packaging machine or something.

The load height for the boxes.

Not sure why it's up at 48in,

but that's going to create a load height

that's above shoulders for most people.

And you're going to want to make sure

that the product

is brought in

at a slightly higher height,

and that your operator's

standing on a platform

so that they are not

having to reach up that high. Right.

So I'm kind of having

to come in on the backside to say, okay,

from a retrofit, realistically,

even though it's not installed yet,

to say,

here's what you want to consider

on the install of this equipment.

So, I mean, it's better to do that

than to wait until it's installed

and then have somebody

come to you saying,

oh, my shoulders hurt.

And how come this equipment is new?

Or you said this was automated

and I wasn't going to have

to do anything cool,

but I still have to load

the boxes in there way too high, right?

So it's still being proactive to a

certain degree, but

ideally we would get in

there a little earlier.

And so when clients come to us

and really do involve

us from a design standpoint,

like even better.

And so then we can look

at a blueprint and go, oh yeah, I know,

why is that load height so high?

Is there any way we can lower it down?

Oh, I don't know.

We'll talk to the vendor about that.

Oh yeah, sure we can do that.

And we're going to move this here.

You know, simple things

like push buttons and displays

and that sort of thing.

Like,

sometimes I think

people design it for themselves

or just, oh, here's where it fits

or they don't put any thought into it

at all of like, oh yeah, this

this makes sense.

Or here's where it's always been.

So that that

pieces is one that I think I wish,

at least from a, the design engineer

standpoint, that I wish people knew.

Yeah, that makes sense.

One other thing I was thinking about

when we were talking back

when we were talking about

AI and like, how

AI can produce

something that looks really,

really official,

but it might all just be gibberish.

And so you need an expert there.

Right? Yeah.

I was just thinking that, one

other thing

that you and I talked

about last at the last,

applied ergo conference

was implementation of soft skills

to implement,

you know, to implement these plans

and, like,

you know, that's

another thing

that AI can't give you is,

is these soft skills

can you take a take a minute

and talk about that.

Yeah.

I mean AI is actually pretty darn

good with some soft skills.

They're very nice sometimes.

Yeah.

You know,

I, I joke that

I like to use it as a tone checker.

Can you.

That's to me,

can you take the attitude

out of this email?

Because I'm actually angry

and I probably shouldn't

come off that way.

That’s a great point actually. Yeah, yeah.

So it it is it can help us start really

difficult conversations

and say, okay, I, you know, I,

I need to talk about this

sensitive subject with so-and-so

helped me

come up with a way to to discuss it.

What happens if they say this? Right.

So I can actually really help us all

with our soft skills?

But that actual implementation,

it still is going to come down

to the words

that are coming out of your mouth.

It's going to come down

to your body language.

It's going to come down

to how you've involved

people in the process. Right.

I was talking with a client this morning,

and we were talking about,

the the job task just required kneeling.

There was really no way around it.

And she said, yeah,

we've tried knee pads before,

but they didn't like them.

Okay.

Did you try different types?

And she's like,

I think we just ordered some.

Okay.

People want input into

how their job tasks are changing. Right.

So you should involve them in that.

Like, hey,

what do you guys think about these?

Or I'm going to order

a couple different pairs

and see what you guys like.

And it's probably not,

not only not a one size fits all,

but maybe not a one style fits all, right.

Maybe somebody with bigger

legs likes this kind,

and somebody with smaller

legs likes this kind.

It's going to be different

with each person.

And so it's always

kind of that collaboration

and that involvement that I think is,

is really important

in getting solutions implemented.

And not just

anybody can get them implemented,

but it's getting them accepted

so that they're used in

the are actually reducing the risk that

that is

what our goal was to do to begin with.

So that actually just made me

think of another good point too,

with the video capture,

one of the really cool things again.

So you're trying to talk to a,

frontline employee about

ergonomic risk, right?

It can get kind of technical pretty fast.

My favorite thing

about the motion capture,

the video capture,

I should say,

is that I can process a video

real quickly and show them. Right.

We've all seen them at the conferences

and whatever of, like, oh,

here's this red, yellow,

green overlay or a skeleton overlay

that shows you what the risks are.

I don't have to explain it in big,

fancy words that maybe not

everybody understands,

but anybody can look at that and go, oh,

I see, I see, okay.

And it helps them understand

what the problem is

and helps them be part of the solution

once they better understand the problem.

So again, that's kind of part of the soft

skills of it, right?

Yeah.

That makes a lot of sense.

I want to move on to like

getting some of your professional advice

for listeners.

But before we do, is there anything else

that you wanted to touch on

before we move on

from like

motion capture

and AI in that conversation?

I don't think so. Okay.

Well, then

for those for those who are listening,

who are,

you know, interested in

in a career in ergonomics,

what is your advice to them?

What should they be studying?

What should they be doing?

Yeah.

So it's funny, I have three college age

children and my youngest just

went away to school,

and she's kind of figuring out

where she wants to go

and what she wants to do. She, she used AI

Had a whole conversation

with ChatGPT

about what she wants to be

when she grows up.

And, her dad and I are both engineers.

And so she was like, well, I

want to be an engineer.

But then she kind of was,

was questioning, why?

Why do I want to do that?

And she finished this prompt

and she said, well,

it said either in ergonomist

or an occupational therapist.

I'm like, really?

That's what I came up with.

I'm going to blame Covid

and all of the webinars that she heard me

sit through

when she was sitting across from me

crying, doing her homework.

But she

she knows that

I get to help people all day long. Right?

My degree is in human

factors engineering.

That's kind of a niche market, right?

With that,

I could have gone into

occupational ergonomics,

which obviously here I sit,

or I could have gone

into kind of usability

and human computer interaction,

that sort of thing.

Okay.

That that's a very specific field.

I am super lucky

that I get to use that career

that I actually picked.

So for somebody very young starting out,

I don't know if you have those as your,

as your listeners, I say I

so I told my daughter Riley,

let's go with occupational therapy

because I have an OT on my team.

And guess what?

She's an ergonomics project manager.

So you can definitely do ergonomics

with occupational therapy.

They're actually not that different

because you get to come up

with creative solutions on how to help

somebody do what they need to do

with their life or their job, whatever.

So for for me, giving her that guidance,

if she wanted to go

that direction,

you can do ergonomics

with that, with that degree.

But you also kind of

have some broader things to

to work with as well.

For somebody

that's already kind of in their career,

they're done with school.

They're not looking at going back.

I think what you have to think about

is that there's a difference between

a certificate of

completion, kind

of a private business certificate.

I took a class and I passed this class,

and now I know about ergonomics. Right.

There's certificates

and then there's accredited

board certification.

Those are going to be

two different things.

So if you're like ergonomics

is part of my job description.

I don't really know much about it.

You may not need to go

and get, board certification,

but you want to pick up

some of those certificates,

some of that training,

so that you know and understand

what ergonomics is.

And you can kind of take different levels

and learn,

learn more and more about those.

Then if you really are,

you know, as a corporate ergonomics,

I obviously should have some sort

of accredited board certification.

So for me that was was CPE.

So it's knowing it's kind of figuring out

what is that career path,

what do I want to do for me

to be able to have a CPE?

Oh, kind of gives me legs

that I can go in and work

for different organizations, right,

as an ergonomist, but for most people,

I think the certificates

get you somewhere,

you know, again, kind of giving you

those skills.

Is it office ergonomics, is it

industrial?

Is it,

kind of organizational ergonomics,

that sort of thing. So okay.

Well that's great advice.

Who's the

what's the name of the dog

that was barking?

That was Tiny.

The one that I nearly poisoned.

The other day.

Oh, somebody had

the audacity to drive by.

So she had to give herself that alert.

Yep. Had to let them know.

Well, that's great.

Well,

for everybody listening, happy ergonomics

month of October.

And, Kristianne,

thank you so much for being here.

I really enjoyed,

talking about this with you.

And I learned quite a lot. Awesome.

Thanks for having me.

All right. Thanks. You're welcome. Bye.