In this episode, Monika and Scott challenge one of the biggest misconceptions in safety performance: that green dashboards mean everything is working.
Scott shares real-world stories from his career leading global safety programs, including how easy it is for organizations to hit their metrics without actually reducing risk. Together, they unpack the difference between vanity metrics and meaningful indicators, why over-celebrating lagging indicators can backfire, and how strong safety cultures use data to drive real behavior change, not just reporting.
They also explore what mature safety data actually looks like, how leadership accountability shapes outcomes, and how modern technology is helping organizations surface risks faster, engage frontline workers, and make smarter decisions.
If you’ve ever questioned whether your metrics are telling the full story, this conversation offers a candid look at what it really takes to build a proactive, data-driven safety culture.
Imagine opening a safety dashboard and seeing a sea of green. Fewer incidences, lower recordables, metrics turning in
the right direction. And on paper, this signals progress. But what if the quietest indicators, the near misses,
the small operational paper cuts, the signals that slowly disappear from reporting are actually pointing to a
deeper risk accumulating beneath the surface. Today, we’re going to be stepping into that uncomfortable space
between what gets measured and what’s truly happening on the front line. Because sometimes the absence of
incidences doesn’t always reflect safer conditions. Sometimes it simply means that the narrative being told is
incomplete. Welcome back to the Safety Brief, the
podcast where we unpack the conversations shaping the future of safety, risk, and operational performance. In today’s episode, paper
cuts or fatalities, we’re going to be diving into four key themes. the tension between leading and lagging indicators,
the overlooked predictive values of near misses, the risk behind perfectly green dashboards and vanity metrics, and the
overflowing disconnect between ESG expectations and frontline reality. Together, these conversations are
pointing toward a bigger question. What does it actually mean for safety data?
And how does that actually look? And why does transparency, context, and trust ultimately matter more than perfection?
So jumping into leading and lagging indicators, Scott, I know you probably have a lot of personal experience.
You’ve spoken about leading and lagging indicators at so many conferences. So I guess we can start off with why do you
think from your perspective these metrics still dominate leadership conversations even though they don’t
really fill the tell story? Wow. I was just thinking of your
introduction and first Monica, welcome to the new year, right? It’s a
really great time to to do this type of of podcast and I I always uh benefit
from a tremendous amount of of uh research and you never give me that time. So, it’s probably just good to
hearers speak based on his or her past experience and I certainly think this is
an excellent subject. So when I think about, you know, why organizations kind of look around safety and and measure
lagging indicators, I I think really and very honestly that lagging indicators uh
dominate because they’re very easy to measure, right? And they’re very easy to
explain to a set of of executives. And I I think you know throughout my career,
if I go back in my career 36 years ago, uh executives, plant managers,
operations leaders, they really never cared about what we would call leading indicators today. They only cared about
lagging indicators because it was very easy for them to understand those
measures because that’s how they had been leading. And it’s very easy to trickle those up to a senior executive
that reports it to their senior executive. So they just provide I think what we think is a sense of control
right. So during board meetings you know during auditing right being able to compare yourself to uh to maybe a sister
organization or maybe even uh within the industry vertical that you’re working in. Being able to compare that
information that is fairly simple to uh to get is why we kind of pin our hopes
there. I think the risk is that we want to measure failure frequency instead of
operational health. And I think that’s the big problem. Safety performance really should be evaluated by how risk
is is managed before incidents are are even occurring. And I’ll give you an
example of that very early in my career. And when I was in manufacturing,
we went nearly a year without recordable injury. and we were celebrating that
milestone. I had the plant manager asking me what we could give away. Uh we we just spent a lot of money celebrating
the fact that we worked uh almost this 12 months without a recordable injury.
At the same time, I was noticing, you know, some things happening behind the scenes. Housekeeping audits, they were
declining. Uh my machine guarding uh issues were increasing. uh supervisor
was spending less time on on the manufacturing floor. So the injury rate on one hand, it looked great, but I also
noticed that my exposure was rising. And then of course what always happens when
we take our our our eye off the ball. You know, I had a hand injury that reset
the the recordable count totally, right? But these warning signs were were really
visible for months. just no one would listen to me talk about it. So when I
think about lagging indicators, you know, while we do them, it really cause organizations have normalized that that
is the way that you judge success. Um, so, so yeah, when when I think about
this topic and and I would also say, Monica, that I’ve never been fearful of blended metrics and and I I challenge,
you know, my peers, my my colleagues that are safety practitioners, you know,
they want to go one path or they want to remain in in in another. And my push
back on them always is is that why aren’t you blending, you know, leading indicators along with your lagging
indicators? because if you do your leading work quite well, you should have a natural u u e ev evidence of what your
your lagging indicators provide, right? So I think they both go hand in hand. I agree. Actually, one step back for a
sec for the folks who are listening who are not up to speed with all this EHS terminology, can you explain the
difference between leading and lagging indicators? Yeah, lagging indicators are are things
that happen after the fact, right? So, so you’ve had a what we call a
recordable injury or or even, you know, some other type of loss. You’ve passed this threshold, right, where it’s
entered into this definition of how we define loss. So, if I was in safety, right, somebody is is injured, maybe
they’ve laced their hand, uh that’s crossed a threshold where I’ve lost something. Uh for many practitioner,
that’s a recordable injury or some type of medical response type of event. Uh, but that could be, you know, different
things. If I was in process control and and I experienced down time on on a
piece of of of equipment, well, that would pass a threshold, right? So, that would become quote a lagging indicator.
When I think about leading indicators, it’s all of the that programming that supports what you want to prevent, you
know? So, things like attending training would be a leading indicator. So participation in an observations program
would be a leading indicator. So many times we’re trying to to really judge the level of participation within the uh
within the work system to judge if it’s leading or lagging. Right. Okay. I mean I often hear people
say that our numbers are down so we must be saver. But I guess that doesn’t always feel and paint the full the full
picture. Am I correct? Well and I I think that’s correct. Right. And I I would even back up on my
response is that you know I I feel that you know what I told you is the definitive right definition of of both
of these. It waivers depending on on what organization you’re talking talking with because I I’ve noticed some of my
colleagues that claim to be using this as a leading indicator that I would define as a lagging indicator. However,
I don’t have all of that story behind that. I don’t know how they’re actually measuring some of that that information.
So you will find this perplexity of understanding defining what what leading and lagging is but it all goes back to
the organizations that are using those metrics and how they’re how they’re being used. So, uh, you know, I have
friends that have probably 20 leading, uh, metrics and I have some that have
just a few, right? So, it just depends on where that organization is, how they judge, you know, their program and what
are the things they’re actually trying to benefit from their programming. Well, that’s true. I mean, in the spirit
of tracking and trying to paint the full picture, I think near misses is actually
another valuable data point, but it’s also overlooked. So I mean in your experience are organizations actually
using nearmas reporting as an early system or is it still kind of treated like that admin afterthought?
Yeah. Yeah. Yeah. Uh man this has been a discussion again for the the entire duration of of my career. Uh I I would
say probably near miss reporting is used more now than ever. However, I think
some of the the resident problems that that we’ve always had are are still there, right? So, so near miss reporting
uh what I really, you know, I even redefined this is that I called this concern reporting when I was leading my
organizations because near miss uh how do you define that is that I almost lost
my finger. So, that’s my near miss or it’s a scratch that that didn’t need medical attention but it could have is
that a near miss? So, I even changed the definition for leading my programs to
concern reporting. Uh, but any way you define this is that near miss reporting
or concern reporting, it only works when workers trust the response that they’re
going to get. And and I’ll I’ll tell you what I’ve noticed is that, you know, some of the clients that we even have in
Intellects, when they invite me to look at their system, when they invite me to consult them, I I go over to their
corrective action process, which which really houses a lot of what their near
miss reporting is, and I’ll see, you know, a thousand, I’ll see 1500, I’ll see 2,000 different near misses that
have been put into the system, and then they they just stay there they linger and when I asked that question I said
well why aren’t you removing these why aren’t you fixing these issues the response is is really the same is that
well we don’t have time or that’s expense right so there’s there’s a myriad of uh of of reasons some of them
good uh of why we didn’t do those things right so near misreporting when we ask
and many times as a frontline employee when we ask them to report it only works
works if they get a response from that report. So, they want things fixed. They want them removed from the system. And
if we’re not going to remove them, they owe they’re owed a a conversation of why they didn’t. And and that is really why
I I converted my thoughts into saying, “Well, just tell me what you’re concerned about.” And that really eased
the tension across my entire organization because they didn’t have to define what a near miss was, but they
could easily define things that they were concerned about, right? And then if I didn’t agree with them or my teams
didn’t agree with them, we could go have that conversation, right? So when we started seeing these things, one, it
opened up our our eyes to things that we didn’t consider as professionals. So those closest to the work could actually
tell us information that we didn’t know. many of them that were better right at identifying the risk that they were that
they were assuming so we could fix those things and we got you know very aggressive in doing that but even things
that we didn’t right the conversation was magical because we could share risk
understanding we could teach them basic skills right and we could respond much much differently so the first thing is
is is that absolutely near misses or concerns are early warning signals when
we think about how to prevent things from happening, but it’s only as good as
the response of the management team uh at at making sure that those those responses are effective in eliminating
and sustainably uh removing that that issue from from the work process. I
think that that when I think about near miss reporting, if it’s purely near miss reporting, serious incidents, they often
have a lot of these these visible precursors, right, in early reports. And that’s really where near near miss
reporting comes in, you know, as a very effective tool is that we can start looking at all of these near miss type
of reports and looking for trends or looking for segments of of patterns that
would indicate that we’re going to have a future problem, right, with this particular issue. And and I often, you
know, kind of think about this. I I had at one of my facilities operators had been, you know, reporting several near
misses around fork trucks and a pedestrian intersection. So, you know, I I led the paper business for quite a
long time and fork trucks and pedestrians, right? And keeping them separated was a very difficult very
difficult task. So, the the reports were being logged, but we were treating them individually, you know, so we would look
at this particular event and say, “We’ve got that problem. let’s put a barrier up and they would go on to do other work.
Months later, uh a serious incident, you know, occurred in that same area, right?
It was the same area, but the circumstances was just a little bit different. So, we reviewed the data, the
pattern was obvious. We were seeing these same type of uh of what I would say immediate causes and even some root
causes. You know, traffic flow was different, the line of sight change, the production pressure was all of them.
there were all these contributing factors. So that data was in there, you know, but we didn’t treat it as a near
miss or as a signal. So, so that’s really what opened my eyes and I I think
Monica, it’s one of the reasons that I joined intellects is that all of us have things like near miss reporting with all
of these bits of data, right? Thousands and thousands of entry points and we don’t even see right predictable
patterns in the information or the data that we see every single day. So we tend to think think of things individually
when we could be thinking of them right accumulatively. And so that’s one of the
things I I really like about working at Intellects is that we can take that data, we can massage, right? We can
marinate on that data and we can give you right what that answer is or what that prediction shows or what that
pattern may help you understand differently, right? So I think that learning right speed matters a lot more
than just report volume, you know? So I I think that that is one of the clues that that I would leave our audience
with is that learning, right? Learning what’s happening in the work process means more than just driving up this
count of near misses. And I I would also say this, Monica, is that, you know, this is going to be my podcast before
it’s over because I keep thinking things, right, to say is that there’s probably not a safety practitioner
that is that is listening that has at some time in their career been pressured to drive up near misreporting. Right?
It’s a very common, right, initiative for organizations to do. John, you’re required to put in two near misses a
month or, you know, Sally, you’re required to to fix one thing, you know, this this quarter, right? All of that
stuff is noise. And then many times you find employees just putting things in there so you’ll go away, right? So you
wind up with a lot of data that doesn’t mean anything, right? So there’s a a delicate balance of what you need,
right? And then the motivation to to drive the behavior that you’re looking for in the organizations that you lead.
Absolutely. I think when we talk about incident reporting and prevention at intellects, a lot of the feedback, and
you’ve touched on it, is that teams want more reporting and they’ll do what they have to do to get it, but they don’t
always know what to do once the volume starts coming in. And I think you did cover that perfectly. Um, so another
topic that I hear frequently is that there’s this idea of green dashboards. And for those listening who are not
familiar with what green dashboards are, it’s just an EHS term used to describe when things are going well. So there’s
no incidents, uh, we’re in the green for budget, whatever it may be. Um, but going back
to the point, everything looks perfect at a glance when you have a green dashboard. But how
do leaders tell the difference between meaningful performance and these vanity metrics? Like for example,
yeah, Steve can climb a ladder and he falls off. He didn’t die, so it’s fine. But he
severely injured himself. I mean, are there certain indicators that tend to look good but don’t actually drive safer
behaviors? What have you been? Well, of course. Yeah. I I you know, you you can think about this participation
metrics, right? Really tell this story and and I would say, you know, your your question is is quite an accurate
depiction of what we like to see, right? Especially senior leaders, what they want to see on a dashboard is that, oh,
I love I love my my dashboard green, right? Because really it it means that I
I don’t have to focus on anything. Uh but what it tells me is that probably my indicators are not challenging enough,
right? If we’re meeting everything, you know, so I always like green, right?
But I learn more from yellow and red. That’s what what uh what what means the most to me is that where do I see these
fractures within the safety process, right? Am I being too easy? But going back to your your original question
about vanity metrics, they are usually participation type of metrics. that
become active in your tracking programs. Right? So, for example, I’ll kind of
give you, you know, an example of this is that, you know, training is is one of
those leading metrics that I think probably every safety professional uses if if they do, you know, attach a
leading metric. But participation and actively learning, right, are two
totally different things. is that if I were to ask an employee to come to a uh
a knowledge sharing session on lockout tagout, they can check the box that they are there, but they could also leave
right without knowing what I was trying to teach them, right? Am I doing skill development? Am I testing them? Am I
developing quizzes to make sure that they know what to do when they leave, you know, that that room? So a vanity
metric would be oh I have this many people that attended this training session. Now what in the back of my mind
you know what I’m asking or telling myself oh I hope they learn what I was actually trying to do in that session.
So to a uh on on a dashboard I’m green right in my office I might be yellow or
red right? So green dashboards they really do had a lot of weak parts of
your system. So you really have to know what metrics you’re actively tracking
that make a difference. So for me, you know, an employee going to training,
right, I would, you know, change that metric to say this many employees or this rate, right, of test scores came
from that activity, right? So I can test, I can make sure that was meaningful. So meaningful, I think,
indicators connect to exposure reduction. If I was teaching things like energy isolation training for example, I
should see that I should see the behavior changed on the floor and I write quite a lot is that and I I was I
was thinking about some of this especially around training is that what makes right training successful? Well,
you should be able to see the behavior change on the manufacturing floor or on the construction site. There should be
some change in what you were were doing, right? What you were relaying. I I also
remember, you know, reviewing a dashboard one time where observation numbers were very very high across every
site that I had. They were very very high. And I looked at that and I said, “Oh, wow. What strong engagement.” When
I look closer, right? Most of the observations that I were seeing were
very low risk, right? And they were completed very quickly to meet these quotas that we had put in front of
everyone. So very few resulted in what I called effective you know corrective
actions. Uh so we achieved the metric right but the risk was not being reduced at all. So they had just picked what I
say cherrypicked things that uh that they could report on. So vanity metrics
I think they’re the ones that we decide that we can meet easily right and we can
make a dashboard show up. uh if you go back you know to how we look at lean manufacturing practices and Kaizen all
those kind of things right uh that that we care about and leaning process forward many of those did come from
Toyota right when we kind of look at them and there was a uh um an idea that
you should never look at a dashboard and see all green right and that really tells you that you’ve not been
challenging enough to the system and your your results are almost predictable if if you didn’t do that.
So, I’ve always tended to to lean there is that if I see all green across a dashboard, I’m going to think to myself
is that the metrics that I’m pursuing were easy to pursue and easy to have
success for. That may work for me, but it’s not taking uh risk away from my
safety work system, right? And I guess someone on your side of the business knows that green or too
green is not good. Someone like me on like say the marketing side or the admin side may look at this and say, “Wow,
this is perfect. Like we’re doing great. I have no complaints.” So for somebody in my shoes, what kind of questions
should they maybe ask um when things are feeling a little too positive?
Yeah. I I would say the number one thing is if you were to look at a dashboard, right, one, I I don’t think it’s just
you, right? I think it’s more than you. I I always try to pull two or three people together from different
perspectives. But but let’s think about this. If a safety metric, you know, what
safety metric is the organization celebrating that worries you, right? So
if if you’re somebody that’s in marketing, you see a green dashboard, you see all this green across, you know,
the the top line, it it should beg the question is what are they celebrating?
And as you look at that metric, what worries you about that celebration, right? So I I was telling you that u you
know just a few moments ago is that we’ve celebrated as organizations for
things that you know kind of rested in the back of my mind and it worried me.
For example, right the cost of of uh of incidents. you know, the cost of an
incident is, you know, getting your your your total incident rate down from this number to this number the next year. And
if you put enough pressure on the organization, you can absolutely make that that metric, you know, please the
senior leadership team because you’ll force reporting right under the water level, right? So people won’t report,
right? they’re they’re fearful of doing that and and you start messing around with, you know, psychological safety
where people don’t feel right open enough to share honestly with what
happens, right? And and we do that a lot with metrics. We we’ll set out this number and and we’ll set out this
target. We’ll we’ll make sure that everybody has communicated what that target is in the organization and then
we’ll measure right throughout the year, throughout the, you know, the month to make sure we’re meeting that target. And
we put much pressure. Reporting goes goes well basically
unreported, right? That they they fear missing an artificial target that may
not even be achievable under normal circumstances. So I I would say that I would say somebody, you know, that that
sees green across a dashboard, they should just ask questions. Is that is there something about that that really
worries you? Does that metric right encompass all of the the information or
the data that it needs to encompass and then how do you validate right engagement quality behind all of those
things that you’re seeing on that dashboard which are many times right participation metrics right how are you
validating that information is that a check at the door is that somebody with a checklist that said that so I I I
would say this it’s those questions right how do you validate that information right what are you
celebrating that worries you about that green, you know, dial. And then what are the things that you were not allowed to
measure, you know, that you think are important? Because the other side of this is that unless you’re in in my
business, right, where you’re looking at data in quite encompassing amounts of of information, you know, as you go up the
uh the organizational chain, you’re only allowed to have so certain numbers of
metrics, right? So as you look at that dashboard, is is it big enough? Is it global enough? Does it cover everything
that you need to measure to say that you’re going to be successful? So there’s a lot of that kind of stuff that
that you would want to know. And you don’t have to be a practitioner to even want to know that information, right? Is
that you know what are you celebrating that still worries you, right? How do you validate that that’s real, right?
And then are you covering all the metrics that you believe is going to give you the best success?
No, I think you raised a valid point about how it almost kind of feels like safety has moved beyond operations and
it’s more into reputation and it ties back to that point about pressure on the organization to present a certain
narrative. So, it got me thinking, how do you or what do you recommend for
companies to kind of balance that transparency with the pressure to show that we’re doing better year-over-year
but without actually putting real risk with uh keeping it all green? Yeah, I I get this question quite often,
especially from younger practitioners, right, that are are being uh maybe coached to do things a certain way. I
think as practitioners, we always have to be very adaptive. We always have to be flexible, but there should be that
stopping point where your ethics, right, and what you know about leading safety and health or environmental program
where where there’s a stop, right? And and I think it’s it’s that fine line between all of those things is that I
I’ve seen practitioners defend points right to to the to actually you know
where it it becomes right from from a senior leadership team and and you know
I look at that and I I counsel them as saying there was plenty of flexibility in how you were leading that discussion
on the the uh the answer that you actually wanted versus what you would accept. So there’s there’s plenty of
that that that goes around. But there also has to be this line of where you
will not cross, right? So if you absolutely know that we need to measure
something, right? We need to measure it, right? And and that’s all based on, you know, everything from compliance, right,
to how capable you need the workforce to be to what the behaviors that you’re trying to drive in that organization.
And then finally, how accountable you want manage management to be in making
sure that you can deliver right success as as was outlined in in your your
agreements, right, to to do your job. So there’s all these stopping points, but I I think for us as as practitioners,
there are ethics, compliance, those kind of things ring ring true of saying we will stop here and we have to have, you
know, that piece of information to go forward. No, I love that. Um, so I guess more
just to conclude everything, I love that the main message here is that consistency, it honestly matters way
more than just having that green dashboard and the perfect numbers. Um, but if incidents alone isn’t the goal,
do you have an example of what good safety data actually looks like in a more mature organization?
Yeah, I I think three things, right? One I’ve already mentioned is is mature safety data. It shows participation,
right? It shows how we’ve learned. It shows how we are controlling effectiveness, right? So those are three
things. It it it shows that behavior is changing. Right? And then finally, it
shows that my management team is being accountable for the things that I care about. Right? So, so when I think about
the data that I want, when I think about, you know, I’m controlling incidents, right? And and that’s my
objective. I don’t think that that’s true. I think when I think about it in the lens of what does the safety process
look like, not just incidents, what’s the safety process look like? There’s a lot of things that that identify that. I
I’ve always used the same four things to drive my safety process. It’s how
compliant we were and now we call those table stakes, right? We everybody has to be compliant. uh the next level of of
implementation for me is how capable my workforce is and am I giving them the
capacity to give their knowledge away. Right? So if I could do that that that
requires me to do things differently but it requires the workforce to mature in a
different way. And then if I can get people to give themselves away right then I can attach another element called
behavior right and behavior means is what do I want to see in the workforce? How do I want them to act? Right? What
what are the words that I want them to say when they’re they’re faced with a decision that compromises safety? Right?
So that’s another indicator uh of of safety maturity, not certainly not all of it. And then finally I uh that the
fourth element which really became one of the harder ones for me is working with senior leaders, right? Is can I
hold this group of senior leaders accountable for the things that for the things that I think are important in
making sure everyone goes home, you know, safe at the end of of their shift. So to me that’s what you know a mature
safety culture looks like and now I can can backward or reverse engineer this
and say well what are some of those measures right that really show that right so I can certainly do several
things right mature safety data shows participation right it shows learning it
shows control it shows a leadership team that’s doing safety walks right weekly or they’re out on the floor every single
day so there’s a myriad of of data of of data points that you can measure, but I
think you really have to understand what your management system is, what these system elements are that you care about.
I I shared four of mine and then building out a metric that measures
that, right? And then trust uh I think it shows up, right? So when I look at
all of this and think about your question, a mature safety data, it really shows that trust is showing up
because the work is happening quite consistently, right? If you’re going to measure me on behavior, right, then how
how is that graph going? Is plateauing okay for a while? Do I have fits and starts? Right? And that may be okay,
right? But what it really shows and it kind of goes all the way back to green dashboards is that strong cultures,
right, surface problems very quickly, right? So, so measuring that, right,
means that I’m going to measure a lot of things, right? and I’m going to be looking at at reflections or trends,
right, or patterns in my information to understand it as quick as I as I possibly can. Now, I I think about that,
right? And in one of my organizations, we were tracking uh very quickly, you know, hazards and and getting things
done and and they were being reported. I’d turn them around in a week. At first, all of this data uncomfortable
because the more we did, the more data we consumed, right? So employees were seeing that we were doing things so they
would give us more right and then you know it became uncomfortable because the reg the the resolution times they became
longer right so so on one hand man I’m glad these people are really reporting
things right but once they learned that I would fix the things that they reported they reported more right so
over time you know teams began competing right uh they were going after these
these hazards faster they were verifying these controls. So what I did, right, because I just couldn’t assume them all,
I started asking them. I said, can you can you get the can you help me get those things done,
right? So one success led led to an uncomfortable period led to success.
Right? So I was able to extend my safety process purely through metrics. Now I I
would say this because we both work for a technology company. Now working with EHS technology, I can see the same
patterns, but I don’t have this uncomfortable period anymore. Right now I can can focus on I can focus on
corrective action closure. I can focus on frontline reporting consistency and I
can get all that information very very quickly. And it’s one of the reasons I joined Intellects is because I had data
line everywhere, you know, and I literally had business analysts, right, as parts of my team to understand all of
these things that I just described, but I was very late in the decisions that I needed to make. And and so today, as I
kind of think about all these things that we’ve talked about, right? You can construct dashboards that reflect really
what you’re you’re wanting to do, you can put together leading and lagging metrics based on all of these
applications, right, that that you may purchase and start to use, right? So there’s a lot of things that really
helps you uh today that was not even existent, right, readily 10 years ago.
So you can do a lot of things that you’ve always wanted to do and now technology has allowed you to do them in
a very efficient way and safety performance right benefits from that.
No, I agree. Um I think the two main themes that I’m I’m hearing and you can correct me if I’m wrong. I’m speaking
more from the admin side of the business is one you need to be able to track that
data and obviously technology helps with that. But I think the main other theme
is that you need to have somebody actually responsible for that data and
putting that data into practice. So if you had to pick one, which one would you say would be more beneficial? Having
that top down leadership actually take it seriously and do something about it or having that data in the first place?
Oh my goodness, that that’s a loaded question. I I want them both. I I would tell you this and and I get really
excited when I think about mobile technology, right? We we basically have put the safety management system or the
EHS and quality management system on a mobile platform, right? So, we’ve literally put that in the hands of the
person that is willing to use it, right? And to me, the closer that I can get to
the front line and ask them to participate and partner with me through a data exchange is as far as a reach
that I really want to make today, right? So I I think about it much differently
than I did in in in further back in my career, right? Where I tried to get to
the main floor, where I tried to get to the front line, where I had paper systems and ask people to contribute to
it, right? there was a lot of of barriers to to success you know when I
was doing that. So technology for me it’s getting as much data as I can so I
can start right using technology to do those things like noticing trends or or
um you know start accumulating that that um that that data much differently that
for me right as a practitioner now to answer your other question right me
having that information allows me to produce metrics that matter the most to
a senior you know leadership team I I’m okay right with them wanting to understand lagging indicators but what I
want to do is introduce leading indicators in such a way that they value right so that’s what I want to do as a
practitioner I would also say this is that I don’t have to be exactly right in what we’re talking about today I think
professionals are all on a different journey right so they know when to pull some of these things right into their
their programs and when not right so I think the most important thing that they can do today is to start understanding
where they are in their safety journey and then what that next step is. It may
be backing up and saying we’re going to really do do well with one metric and then just assume that we’re going to add
an additional metric to that as time goes on. So all of us that are are different journey I led you know in in
industry verticals that may be different than some of our our listeners are are listening to and some of them may be
more advanced than I am right so but I I would say that using data very very effectively it may be different for me I
want to go very deep in my organization right I even think senior leaders want to to understand that information they
just want it maybe in a more concise fashion I I honestly can’t think of a way better
way to wrap up that episode. I mean, we explored how safety performance is often interpreted. Um, we talked about the
dominance of lagging indicators, the missed signals. Um, and if there’s one takeaway, it’s this, that meaningful
safety performance isn’t about presenting those flawless numbers. It’s about creating visibility into the risks
that exist before they become out outcomes. Um, and thank you, Scott, for
helping unpack a lot of this and sharing your insights. Um, if this conversation
challenged the way that you think about safety data, make sure that you’re following the safety brief for more
discussions. Um, and remember, progress doesn’t come from perfect reporting. It comes from building cultures grounded in
transparency, learning, and trust. We will see you guys next time.
Thank you.