October 15, 2024 • 7 mins
The source is an excerpt from a book on project management. It focuses on the role of generative AI in enhancing stakeholder engagement, especially using ChatGPT. The podcast emphasizes how AI can identify stakeholders, analyze their interests and needs, and tailor communication strategies accordingly. Additionally, the source explores the ethical considerations of using AI for stakeholder engagement, including data privacy, bias, transparency, and accountability. The podcast then offers a guide on how to enable and utilize ChatGPT's Advanced Data Analysis tool, which allows users to analyze data and create visual representations, such as bar graphs and pie charts, for more effective stakeholder communication.
James Henderson is the founder of Misa.solutions, a veteran-owned company bringing the Socratic Method into modern education through AI-powered tutoring. With a passion for helping K–12 students, homeschoolers, and educators move beyond memorization, he focuses on building curiosity, wisdom, and critical thinking for the next generation of learners.
James Henderson is the founder of Misa.solutions, a veteran-owned company bringing the Socratic Method into modern education through AI-powered tutoring. With a passion for helping K–12 students, homeschoolers, and educators move beyond memorization, he focuses on building curiosity, wisdom, and critical thinking for the next generation of learners.
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Hey everyone, and welcome back today. We're doing a deep
dive into becoming a stakeholder whisperer.
Speaker 2 (00:05):
Stakeholder whisperer, you got it.
Speaker 1 (00:08):
We're talking about how AI can help us navigate the
often tricky world of projects stakeholders.
Speaker 2 (00:14):
Sounds intriguing, I'm all yours.
Speaker 1 (00:17):
We found a fascinating book that really digs into this,
and they actually use real world examples from a company
called l mL Home Improvement.
Speaker 2 (00:26):
LML Home Improvement.
Speaker 1 (00:28):
Yeah. So they kick off with this story about Louise
the owner and he thinks he's got all his stakeholder
bases covered.
Speaker 2 (00:34):
Right, the usual suspects, architects, contractors, that sort of thing, exactly.
Speaker 1 (00:39):
But here's where it gets interesting. Louise decides to run
his plan by chat GPT.
Speaker 2 (00:44):
Okay, I see where this is going and.
Speaker 1 (00:45):
Chat GPT's like, hold on a second, you're missing some
key players here.
Speaker 2 (00:48):
Oh boy.
Speaker 1 (00:49):
It points out three stakeholder groups. Louise totally overlooked the
neighboring community, real estate agents, and get this, insurance companies.
Speaker 2 (00:57):
It's amazing how often those groups slip through the crowd.
Speaker 1 (01:00):
Right, and they can make or break your projects. So
how does AI even know who we're missing.
Speaker 2 (01:04):
Well, think of it this way. AI tools have access
to tons of data from past projects. It's like they've
seen it all.
Speaker 1 (01:11):
So they're like the seasoned veterans of stakeholder management.
Speaker 2 (01:14):
Exactly. They can analyze patterns, connect the dots, and say, hey,
remember that time a similar project went sideways because they
forgot about the zoning committee. Yeah, you might want to
loop them in this time.
Speaker 1 (01:25):
It's like AI has this sixth sense for this stuff.
But it's not just about identifying those hidden stakeholders, is it.
We also need to understand what makes them tick.
Speaker 2 (01:35):
You're absolutely right identifying them as just the first step.
Speaker 1 (01:38):
So then what what's the real magic here?
Speaker 2 (01:40):
It's about using AI to understand their motivations, their concerns,
even their communication styles.
Speaker 1 (01:47):
Okay, so how does AI get that deep. It's not
like we can plug our stakeholders into a scanner or.
Speaker 2 (01:52):
Something, well, not quite, but we can give AI the
information it needs. Emails, meeting notes, presentations, all that juicy
communication data.
Speaker 1 (02:00):
And AI can make sense of all that.
Speaker 2 (02:02):
Exactly. It goes beyond just keywords. It can actually decode
communication patterns and figure out what's truly important to each stakeholder.
Speaker 1 (02:09):
So instead of sending these generic updates, imagine being able
to tailor your communication to each stakeholder's specific needs and concerns.
Speaker 2 (02:17):
Exactly. That's next level stakeholder management. No more drowning in
irrelevant emails or sitting through unproductive meetings.
Speaker 1 (02:25):
Okay, so let's get specific here. How does this actually
play out in the real world.
Speaker 2 (02:29):
Remember Louise from LML Home Improvement.
Speaker 1 (02:32):
Oh yeah, the chat Gypt convert.
Speaker 2 (02:34):
Let's say he's sending out updates on his project. AI
can help him craft targeted messages instead of just blasting
everyone with the same info.
Speaker 1 (02:42):
So he's not just hitting reply all anymore.
Speaker 2 (02:44):
Exactly. AI can figure out who prefers a visually engaging report.
Speaker 1 (02:48):
Because who doesn't love a good.
Speaker 2 (02:51):
Charter graph, right, But at the same time, he can
keep the community in the loop with you know, short
and friendly messages about the construction.
Speaker 1 (02:58):
Scheduling, noise levels, that kind of thing.
Speaker 2 (03:00):
Exactly. It's all about delivering the right info to the
right people in a way that actually makes sense to them.
Speaker 1 (03:05):
It's like AI is acting as a communication translator, making
sure everyone's speaking the same language. Metaphorically. Of course, I like.
Speaker 2 (03:12):
That, and it goes beyond just tailoring the message. AI
can also help us nail the timing and frequency of communication.
Speaker 1 (03:19):
Oh tell me more about that. I feel like I'm
always either bombarded with updates I don't need or left
in the dark on crucial decisions.
Speaker 2 (03:28):
You and everyone else. It's a constant struggle in project management.
Speaker 1 (03:31):
So how does AI help imagine?
Speaker 2 (03:33):
If it could analyze past responses and say, Okay, this
stakeholder prefers weekly updates, but this one only wants to
hear about major milestones.
Speaker 1 (03:42):
So instead of overwhelming everyone, we're giving them just what
they need when they need it precisely.
Speaker 2 (03:47):
This way, we keep stakeholders informed and engaged without burying
them in an avalanche of updates.
Speaker 1 (03:52):
That sounds amazing, But wait, there's more, isn't there. AI
can also help us analyze sentiment, right like, anticipate potential
issues before they even become I'm.
Speaker 2 (04:00):
A thing, you're reading my mind?
Speaker 1 (04:01):
Okay, hold up? Anticipate problems That sounds almost too good
to be true.
Speaker 2 (04:05):
Well, remember how we talked about AI analyzing all that
communication data Shifts in tone increases a negative feedback. AI
can pick up on those subtle cues that might signal
a brewing issue.
Speaker 1 (04:16):
So it's like an early warning system for your project.
Speaker 2 (04:19):
Exactly, it's like having a crystal ball that helps you
navigate around those stakeholder potholes.
Speaker 1 (04:24):
So we're not just talking about AI helping us communicate
more effectively. We're talking about it actually preventing problems before
they blow up.
Speaker 2 (04:32):
That's the power of AI anticipate problems.
Speaker 1 (04:35):
That sounds almost too good to be true.
Speaker 2 (04:37):
Well, it's all about the data, right, AIS analyzing those
communication patterns we talked about, Like, let's say there's a
sudden shift in tone from a stakeholder, or maybe an
uptick and negative feedback, So.
Speaker 1 (04:48):
It's not just about what they're saying, it's how they're
saying it.
Speaker 2 (04:50):
Exactly. AI can pick up on those subtle cues that
might signal uh oh, there's trouble brewing here.
Speaker 1 (04:57):
So it's like what an early warning system for your prom.
Speaker 2 (05:00):
Precisely, it's like having that crystal ball helping you navigate
around those stakeholder potholes before you even hit them.
Speaker 1 (05:06):
So we're not just talking about AI helping us communicate better.
We're talking about it actually preventing problems before they blow up.
Speaker 2 (05:13):
Now you're getting it. That's the power of AI in
stakeholder management.
Speaker 1 (05:17):
Okay, So to wrap things up, it sounds like AI
has the potential to totally revolutionize how we handle stakeholders,
be more efficient, more effective, maybe even sleep a little
better at night.
Speaker 2 (05:28):
Absolutely, And I think that's what's so exciting about all
of this, right, It's not just about automating tasks. It's
about using AI to actually enhance our own abilities.
Speaker 1 (05:36):
Build those stronger relationships with their stakeholders exactly.
Speaker 2 (05:39):
And that's what it's all about in the end, isn't it.
Speaker 1 (05:41):
It really is. And on that note, we'll leave you
uponder this. If AI can become this good at understanding
and managing stakeholder relationships, what does that mean for the
future of actual humanity connection in the workplace.
Speaker 2 (05:57):
It's a brave new world out there, it really is.
Speaker 1 (05:59):
It's a question we're thinking about. Is we all explore
the incredible potential of AI? Thanks for joining us for
this deep dive anticipate problems. It sounds almost too good
to be true. How is that even possible?
Speaker 2 (06:11):
Well, remember how we were talking about AI analyzing all
that communication data. Like, let's say there's a sudden shift
in tone from a stakeholder or maybe an uptick and
negative feedback. AI can pick up on those subtle cues
that might signal up, oh, there's trouble brewing here.
Speaker 1 (06:26):
So it's not just what they're saying, it's how they're
saying it exactly.
Speaker 2 (06:30):
AI can pick up on those subtle cues that might
signal uh, oh there's trouble brewing here.
Speaker 1 (06:35):
So it's like what an early warning system for your project?
Speaker 2 (06:38):
Precisely, it's like having that crystal ball helping you navigate
around those stakeholder potholes before you even hit them.
Speaker 1 (06:45):
So we're not just talking about AI helping us communicate better.
We're talking about actually preventing problems before they blow up.
Speaker 2 (06:51):
Now you're getting it. That's the power of AI and
stakeholder management.
Speaker 1 (06:55):
Okay, So to wrap things up, it sounds like AI
has the potential to completely revolutionize how we handle stakeholders,
be more efficient, more effective, maybe even sleep a little
better at night.
Speaker 2 (07:07):
Absolutely, and I think that's what's so exciting about all
of this, right, It's not just about automating tasks. It's
about using AI to actually enhance our own abilities, build
those stronger relationships with our stakeholders exactly.
Speaker 1 (07:20):
And that's what it's all about in the end. Isn't
it to build those stronger relationships with our stakeholders.
Speaker 2 (07:25):
It really is.
Speaker 1 (07:26):
And on that note, we'll leave you to ponder this.
If AI can become this good at understanding and managing
stakeholder relationships, what does that mean for the future of
actual human connection in the workplace. It's a brave new
world out there, it really is. It's a question worth
thinking about as we all explore the incredible potential of AI.
Thanks for joining us for this steep dive
Hey everyone, and welcome back today. We're doing a deep
dive into becoming a stakeholder whisperer.
Speaker 2 (00:05):
Stakeholder whisperer, you got it.
Speaker 1 (00:08):
We're talking about how AI can help us navigate the
often tricky world of projects stakeholders.
Speaker 2 (00:14):
Sounds intriguing, I'm all yours.
Speaker 1 (00:17):
We found a fascinating book that really digs into this,
and they actually use real world examples from a company
called l mL Home Improvement.
Speaker 2 (00:26):
LML Home Improvement.
Speaker 1 (00:28):
Yeah. So they kick off with this story about Louise
the owner and he thinks he's got all his stakeholder
bases covered.
Speaker 2 (00:34):
Right, the usual suspects, architects, contractors, that sort of thing, exactly.
Speaker 1 (00:39):
But here's where it gets interesting. Louise decides to run
his plan by chat GPT.
Speaker 2 (00:44):
Okay, I see where this is going and.
Speaker 1 (00:45):
Chat GPT's like, hold on a second, you're missing some
key players here.
Speaker 2 (00:48):
Oh boy.
Speaker 1 (00:49):
It points out three stakeholder groups. Louise totally overlooked the
neighboring community, real estate agents, and get this, insurance companies.
Speaker 2 (00:57):
It's amazing how often those groups slip through the crowd.
Speaker 1 (01:00):
Right, and they can make or break your projects. So
how does AI even know who we're missing.
Speaker 2 (01:04):
Well, think of it this way. AI tools have access
to tons of data from past projects. It's like they've
seen it all.
Speaker 1 (01:11):
So they're like the seasoned veterans of stakeholder management.
Speaker 2 (01:14):
Exactly. They can analyze patterns, connect the dots, and say, hey,
remember that time a similar project went sideways because they
forgot about the zoning committee. Yeah, you might want to
loop them in this time.
Speaker 1 (01:25):
It's like AI has this sixth sense for this stuff.
But it's not just about identifying those hidden stakeholders, is it.
We also need to understand what makes them tick.
Speaker 2 (01:35):
You're absolutely right identifying them as just the first step.
Speaker 1 (01:38):
So then what what's the real magic here?
Speaker 2 (01:40):
It's about using AI to understand their motivations, their concerns,
even their communication styles.
Speaker 1 (01:47):
Okay, so how does AI get that deep. It's not
like we can plug our stakeholders into a scanner or.
Speaker 2 (01:52):
Something, well, not quite, but we can give AI the
information it needs. Emails, meeting notes, presentations, all that juicy
communication data.
Speaker 1 (02:00):
And AI can make sense of all that.
Speaker 2 (02:02):
Exactly. It goes beyond just keywords. It can actually decode
communication patterns and figure out what's truly important to each stakeholder.
Speaker 1 (02:09):
So instead of sending these generic updates, imagine being able
to tailor your communication to each stakeholder's specific needs and concerns.
Speaker 2 (02:17):
Exactly. That's next level stakeholder management. No more drowning in
irrelevant emails or sitting through unproductive meetings.
Speaker 1 (02:25):
Okay, so let's get specific here. How does this actually
play out in the real world.
Speaker 2 (02:29):
Remember Louise from LML Home Improvement.
Speaker 1 (02:32):
Oh yeah, the chat Gypt convert.
Speaker 2 (02:34):
Let's say he's sending out updates on his project. AI
can help him craft targeted messages instead of just blasting
everyone with the same info.
Speaker 1 (02:42):
So he's not just hitting reply all anymore.
Speaker 2 (02:44):
Exactly. AI can figure out who prefers a visually engaging report.
Speaker 1 (02:48):
Because who doesn't love a good.
Speaker 2 (02:51):
Charter graph, right, But at the same time, he can
keep the community in the loop with you know, short
and friendly messages about the construction.
Speaker 1 (02:58):
Scheduling, noise levels, that kind of thing.
Speaker 2 (03:00):
Exactly. It's all about delivering the right info to the
right people in a way that actually makes sense to them.
Speaker 1 (03:05):
It's like AI is acting as a communication translator, making
sure everyone's speaking the same language. Metaphorically. Of course, I like.
Speaker 2 (03:12):
That, and it goes beyond just tailoring the message. AI
can also help us nail the timing and frequency of communication.
Speaker 1 (03:19):
Oh tell me more about that. I feel like I'm
always either bombarded with updates I don't need or left
in the dark on crucial decisions.
Speaker 2 (03:28):
You and everyone else. It's a constant struggle in project management.
Speaker 1 (03:31):
So how does AI help imagine?
Speaker 2 (03:33):
If it could analyze past responses and say, Okay, this
stakeholder prefers weekly updates, but this one only wants to
hear about major milestones.
Speaker 1 (03:42):
So instead of overwhelming everyone, we're giving them just what
they need when they need it precisely.
Speaker 2 (03:47):
This way, we keep stakeholders informed and engaged without burying
them in an avalanche of updates.
Speaker 1 (03:52):
That sounds amazing, But wait, there's more, isn't there. AI
can also help us analyze sentiment, right like, anticipate potential
issues before they even become I'm.
Speaker 2 (04:00):
A thing, you're reading my mind?
Speaker 1 (04:01):
Okay, hold up? Anticipate problems That sounds almost too good
to be true.
Speaker 2 (04:05):
Well, remember how we talked about AI analyzing all that
communication data Shifts in tone increases a negative feedback. AI
can pick up on those subtle cues that might signal
a brewing issue.
Speaker 1 (04:16):
So it's like an early warning system for your project.
Speaker 2 (04:19):
Exactly, it's like having a crystal ball that helps you
navigate around those stakeholder potholes.
Speaker 1 (04:24):
So we're not just talking about AI helping us communicate
more effectively. We're talking about it actually preventing problems before
they blow up.
Speaker 2 (04:32):
That's the power of AI anticipate problems.
Speaker 1 (04:35):
That sounds almost too good to be true.
Speaker 2 (04:37):
Well, it's all about the data, right, AIS analyzing those
communication patterns we talked about, Like, let's say there's a
sudden shift in tone from a stakeholder, or maybe an
uptick and negative feedback, So.
Speaker 1 (04:48):
It's not just about what they're saying, it's how they're
saying it.
Speaker 2 (04:50):
Exactly. AI can pick up on those subtle cues that
might signal uh oh, there's trouble brewing here.
Speaker 1 (04:57):
So it's like what an early warning system for your prom.
Speaker 2 (05:00):
Precisely, it's like having that crystal ball helping you navigate
around those stakeholder potholes before you even hit them.
Speaker 1 (05:06):
So we're not just talking about AI helping us communicate better.
We're talking about it actually preventing problems before they blow up.
Speaker 2 (05:13):
Now you're getting it. That's the power of AI in
stakeholder management.
Speaker 1 (05:17):
Okay, So to wrap things up, it sounds like AI
has the potential to totally revolutionize how we handle stakeholders,
be more efficient, more effective, maybe even sleep a little
better at night.
Speaker 2 (05:28):
Absolutely, And I think that's what's so exciting about all
of this, right, It's not just about automating tasks. It's
about using AI to actually enhance our own abilities.
Speaker 1 (05:36):
Build those stronger relationships with their stakeholders exactly.
Speaker 2 (05:39):
And that's what it's all about in the end, isn't it.
Speaker 1 (05:41):
It really is. And on that note, we'll leave you
uponder this. If AI can become this good at understanding
and managing stakeholder relationships, what does that mean for the
future of actual humanity connection in the workplace.
Speaker 2 (05:57):
It's a brave new world out there, it really is.
Speaker 1 (05:59):
It's a question we're thinking about. Is we all explore
the incredible potential of AI? Thanks for joining us for
this deep dive anticipate problems. It sounds almost too good
to be true. How is that even possible?
Speaker 2 (06:11):
Well, remember how we were talking about AI analyzing all
that communication data. Like, let's say there's a sudden shift
in tone from a stakeholder or maybe an uptick and
negative feedback. AI can pick up on those subtle cues
that might signal up, oh, there's trouble brewing here.
Speaker 1 (06:26):
So it's not just what they're saying, it's how they're
saying it exactly.
Speaker 2 (06:30):
AI can pick up on those subtle cues that might
signal uh, oh there's trouble brewing here.
Speaker 1 (06:35):
So it's like what an early warning system for your project?
Speaker 2 (06:38):
Precisely, it's like having that crystal ball helping you navigate
around those stakeholder potholes before you even hit them.
Speaker 1 (06:45):
So we're not just talking about AI helping us communicate better.
We're talking about actually preventing problems before they blow up.
Speaker 2 (06:51):
Now you're getting it. That's the power of AI and
stakeholder management.
Speaker 1 (06:55):
Okay, So to wrap things up, it sounds like AI
has the potential to completely revolutionize how we handle stakeholders,
be more efficient, more effective, maybe even sleep a little
better at night.
Speaker 2 (07:07):
Absolutely, and I think that's what's so exciting about all
of this, right, It's not just about automating tasks. It's
about using AI to actually enhance our own abilities, build
those stronger relationships with our stakeholders exactly.
Speaker 1 (07:20):
And that's what it's all about in the end. Isn't
it to build those stronger relationships with our stakeholders.
Speaker 2 (07:25):
It really is.
Speaker 1 (07:26):
And on that note, we'll leave you to ponder this.
If AI can become this good at understanding and managing
stakeholder relationships, what does that mean for the future of
actual human connection in the workplace. It's a brave new
world out there, it really is. It's a question worth
thinking about as we all explore the incredible potential of AI.
Thanks for joining us for this steep dive
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