Capacity and Capability management and its trade-offs according to PMI
Summary
TLDRThis episode discusses capacity and capability management, emphasizing the balance between resource availability and expertise. It outlines four key elements of capacity management: planning, demand management, optimization, and reporting. The script highlights the importance of assessing resource capabilities, aligning demand with capacity, prioritizing projects, and using analytics for decision-making. It also addresses the trade-off between capacity and capability, suggesting methods like resource leveling, capability assessments, and demand forecasting to optimize both for better organizational outcomes.
Takeaways
- 📊 Capacity management involves four key elements: capacity planning, demand management, demand optimization, and reporting & analytics.
- 📅 Capacity planning is about forecasting and assessing resource availability (staff, equipment, budget) compared to upcoming workload.
- 🔍 Demand management focuses on tracking current and upcoming projects, understanding when and what resources will be needed.
- ⚖️ Demand optimization is about prioritizing projects to match resource constraints, ensuring high-priority tasks are completed first.
- 📈 Reporting and analytics provide real-time insights into capacity and demand, helping organizations make data-driven decisions and avoid bottlenecks.
- 🛠 Capability management starts with assessing existing skills and ensuring they align with project needs, filling gaps through training or hiring.
- 🎓 Upskilling is a key method for building new capabilities, keeping employees engaged and preparing for future project demands.
- 📊 Regular portfolio reviews, supported by data and reporting, help organizations track progress in both capacity and capability management.
- ⚙️ Balancing capacity and capability is a constant trade-off, where organizations must decide between investing in skill-building or maintaining immediate capacity.
- 🔮 Demand forecasting helps organizations proactively prepare for future needs, smoothing the balance between current workload and long-term growth.
Q & A
What are the four key elements of capacity management mentioned in the script?
-The four key elements of capacity management are capacity planning, demand management, demand optimization, and reporting and analytics.
How does capacity planning help organizations manage their resources?
-Capacity planning helps organizations assess how much work they can handle by forecasting resource availability, including staff, equipment, and budget, and comparing it to the workload. This ensures that the right number of people with the right skills are available when needed.
What role does demand management play in capacity management?
-Demand management is about understanding the demand for resources. It involves tracking current and upcoming projects and their resource requirements, ensuring that the organization doesn't overcommit and can align demand with capacity.
What is the main difference between demand management and demand optimization?
-Demand management focuses on understanding what resources are needed and when, while demand optimization involves prioritizing and adjusting demand to meet it within capacity constraints, ensuring that the most important projects receive attention first.
How do reporting and analytics support capacity management?
-Reporting and analytics provide real-time insights into capacity and demand, helping leadership make informed decisions about resource allocation, bottlenecks, and adjustments to plans based on data analysis.
What is the first step in capability management, according to the script?
-The first step in capability management is conducting a capability assessment, where organizations evaluate their current skills and compare them to the needs of upcoming projects.
How can organizations address capability gaps once they identify them?
-Organizations can address capability gaps by upskilling their existing staff through training or hiring new talent with the specific expertise needed for projects.
Why is it important to sustain existing capabilities, and how can organizations do this?
-Sustaining existing capabilities is important because skills can degrade over time if not regularly used. Organizations can offer continuous learning opportunities, such as training workshops or internal mentoring, to keep their teams sharp and competitive.
What is the trade-off between capacity and capability management?
-The trade-off between capacity and capability management occurs when organizations need to balance having enough resources to handle workloads (capacity) with ensuring that those resources have the right skills to perform effectively (capability). Improving capability, such as through training, often reduces capacity in the short term.
How can organizations manage the trade-off between capacity and capability when prioritizing projects?
-Organizations can use prioritization methods like scoring models and strategic alignment to focus on projects that align with their current capability and delay those that require skills they don't yet have. This allows them to balance immediate demands with long-term capability building.
Outlines
🔍 Understanding Capacity Management and Its Key Elements
This paragraph introduces capacity management, focusing on four key elements: capacity planning, demand management, demand optimization, and reporting/analytics. It explains that capacity planning is about forecasting available resources like staff, equipment, and budget to handle upcoming workloads. The example of a tech company managing product launches highlights how proper capacity planning helps prevent resource shortages. Demand management then focuses on aligning resource availability with project needs, emphasizing the importance of continuous monitoring to avoid overcommitting to projects.
📊 Demand Management and Resource Optimization in Action
This section dives deeper into demand management, explaining how it tracks current and future project requirements to allocate resources efficiently. It uses the example of a healthcare organization to illustrate how poor demand management can overwhelm IT teams, leading to project delays. Demand optimization is introduced as a means of prioritizing projects, ensuring that critical tasks are addressed within existing capacity constraints. For instance, a retail company might prioritize an e-commerce platform over logistics improvements if it aligns better with short-term strategic goals.
🧩 Importance of Reporting and Analytics in Capacity Management
This paragraph emphasizes the role of reporting and analytics in providing leadership with real-time insights into resource utilization and workload distribution. By reviewing data, organizations can avoid overworking key staff and better distribute tasks. The example of a construction company using analytics to prevent manager burnout illustrates the benefits of regular data analysis. PMI recommends using historical data to refine future capacity planning, learning from past mistakes such as resource underestimation or project misalignment.
📚 Capability Management: Assessing and Building Skills
This section shifts focus to capability management, which involves assessing the current skills within a team and addressing gaps. It provides an example of a construction company shifting to green building practices, highlighting the need to train or hire specialists to meet new project demands. The text stresses the importance of both upskilling existing staff and hiring externally to address gaps. The long-term success of projects is tied to the ability to align skills with strategic needs.
🚀 Sustaining Capabilities and Continuous Learning
In this paragraph, the focus is on maintaining existing skills while building new ones. Continuous learning is critical to keeping teams competitive and adapting to industry changes. PMI recommends regular training and knowledge-sharing opportunities to prevent skill deterioration. The example of a tech company hosting coding challenges to keep engineers sharp underscores the need for sustaining expertise while simultaneously developing new capabilities.
📈 Reporting and Analytics in Capability Management
This paragraph explains how organizations should use data to track the effectiveness of their capability-building efforts. By monitoring metrics like training completion rates and project success after skill development, companies can ensure that their investments are paying off. The example of a retail company training staff on new e-commerce software highlights how tracking KPIs such as error reduction and efficiency gains can validate the success of training initiatives.
🔄 The Balancing Act: Capacity vs. Capability
This section explores the trade-off between capacity and capability management, explaining how organizations must balance having enough resources to handle workloads while also ensuring they have the right expertise. The text illustrates how focusing solely on capacity (i.e., having enough people) without addressing capability (i.e., the right skills) can lead to inefficiencies. The example of a software company needing specialized skills for a new project demonstrates how capability gaps can hinder progress, even when enough resources are available.
⚖️ Optimizing Capacity and Capability: A Strategic Approach
This paragraph elaborates on how organizations can manage the trade-off between capacity and capability by conducting capability assessments and using prioritization methods. The text explains that resource leveling spreads the workload but doesn't address skill gaps, which can lead to inefficiencies. PMI suggests prioritizing projects based on available skills, with the example of a financial services firm addressing a cybersecurity gap through hiring or training, even if it temporarily reduces capacity.
🔍 Project Prioritization and Trade-offs in Portfolio Management
This section discusses the complexity of balancing both capacity and capability issues in project prioritization. PMI recommends methods such as scoring models to ensure that organizations focus on projects that align with current skills, delaying those that require new expertise. The example of a manufacturing company prioritizing operational efficiency over AI projects emphasizes how this strategic approach can optimize both capacity and capability in the long term.
📅 Demand Forecasting: Managing the Capacity-Capability Trade-off
The final paragraph addresses the importance of demand forecasting in managing capacity and capability. By anticipating future project needs and required skills, organizations can start building capability ahead of time to avoid last-minute trade-offs. The example of a healthcare organization deciding between outsourcing technical work or training internal staff shows the strategic decision-making process involved in balancing short-term capacity with long-term capability goals.
Mindmap
Keywords
💡Capacity Management
💡Capacity Planning
💡Demand Management
💡Demand Optimization
💡Reporting and Analytics
💡Capability Management
💡Upskilling
💡Resource Leveling
💡Capability Assessment
💡Project Prioritization
Highlights
Capacity management involves balancing workload and resources.
Capacity planning is about forecasting resource availability against upcoming workload.
Demand management tracks current and upcoming projects' resource requirements.
Demand optimization prioritizes projects to meet capacity constraints.
Reporting and analytics provide insights into resource utilization and project performance.
Capacity planning ensures the right number of skilled people are available for projects.
Healthcare organizations can use demand management to avoid overwhelming IT teams.
Demand optimization helps prioritize projects based on strategic goals.
Reporting and analytics help identify potential bottlenecks and adjust plans accordingly.
Capability management starts with assessing existing skills against project needs.
Building new capabilities may involve upskilling or hiring new talent.
Sustaining existing capabilities is crucial to maintaining competitiveness.
Capability management is about having the right skills to deliver strategic goals.
Balancing capacity and capability involves a constant tradeoff between quantity and quality.
Resource leveling can help spread workload evenly but must consider skill sets.
Investing in capability may temporarily reduce capacity.
PMI suggests using prioritization methods to decide which projects to focus on.
Demand forecasting can help prepare teams in advance for upcoming project needs.
The tradeoff between capacity and capability management requires strategic decision-making.
Transcripts
[Music]
in this episode I will be talking
about capacity and capability management
and the trade-off we see between them in
an organization at the heart of capacity
management are four key elements
capacity planning demand management
demand optimization and Reporting and
analytics let's dive into each of these
and look at how they work together to
help organizations make better decisions
when managing their
portfolios first up is capacity planning
this is where organizations assess how
much work they can handle based on their
available resources it's essentially
about
forecasting you look at your current and
future resource
availability whether that's staff
equipment budget and compare it to the
workload that's uh that's coming down
the pipeline it's like running a
restaurant and making sure you have
enough chefs and ingredients to meet the
reservations for the night in project
management terms this means ensuring you
have the right number of people with the
right skills available when your
projects need
them take a tech company as an example
they might have several product launches
planned throughout the year and each one
requires input from their software
Engineers through capacity planning
they'll map out the expected workload
for each engineer and identify when they
might face a shortage if they find that
their resources will be stretched too
thin they can take action early either
by hiring more staff adjusting timelines
or even delaying some projects to avoid
bottlenecks now demand management comes
into play when we talk about understand
in the demand for your resources it's
not just about what resources you have
it's about knowing what's going to be
needed and when this involves keeping
track of current and upcoming projects
as well as their specific resource
requirements if you don't have a clear
view of the demand for your resources
you might find yourself constantly
reacting to shortages with teams
scrambling to cover all the work
PMI recommends that organizations focus
on aligning Demand with
capacity this requires continuous
monitoring to avoid overc committing to
projects and ensuring your portfolio
remains
sustainable let's consider a healthc
Care Organization rolling out a new
patient management system demand
management here involves tracking when
and how many it Specialists will be
needed to implement different parts of
the
system without clear demand management
they could end up with too many tasks
scheduled at the same time overwhelming
their it team and delaying the
project by understanding demand they can
stagger tasks and allocate resources
more effectively ensuring smoother
project
execution the next piece of the puzzle
is demand
optimization while demand management is
about understanding what's needed demand
optimization is about prioritizing and
adjusting that demand so you can meet it
within the constraints of Your Capacity
it's it's about making sure you're
you're you're focusing on the most
important projects first and balancing
resource use across your
portfolio sometimes this means saying no
to certain projects or delaying them in
in favor of higher priority initiatives
optimization is all about making the
best possible possible use of your
available resources for example a retail
company might have multiple initiatives
from launching a new e-commerce platform
to improving their Logistics if both
projects need the same it team demand
optimization would involve prioritizing
the project that aligns most closely
with the company's immediate strategic
goals in this case the e-commerce
platform might take precedence if it's
expected to drive more Revenue in the
short term the logistics project could
be pushed to a later date when more
capacity is available this ensures that
the most critical work gets done without
overloading the
team lastly we have reporting and
analytics which ties everything together
reporting is essential because it gives
leadership realtime insight into
capacity and demand across the portfolio
by regularly analyzing data on resource
utilization project performance and
workload distribution organizations can
make informed decisions about when to
shift resources where potential
bottlenecks might arise and how to
adjust their
plans imagine a construction company
that's juggling several projects at
once through reporting and analytics
they might discover that their best
project managers are con consistently
overworked leading to
delays by reviewing the data they can
reassign some of the less critical
projects to other managers and free up
the key personnel to focus on on high
impact
tasks without these insights the company
might just keep pushing forward unaware
that they're driving their their top
talent toward burnout PMI encourages
regular portfolio reviews supported by
these reports by analyzing historical
data organizations can learn from past
mistakes maybe they underestimated the
resources needed for a previous project
or or misjudged the demand during a busy
season with accurate reporting they can
refine their capacity planning and
demand management going forward to sum
it up capacity management is about far
more than just counting heads or or
keeping an eye on the budget it's a
continuous Balancing Act between the
work that needs to be done and the
resources available to do it through
careful capacity planning organizations
can foresee and mitigate resource
shortages demand management helps track
what's needed when while demand
optimization ensures that the right
projects get the attention they deserve
and finally reporting and analytics help
make sense of all this data ensuring
that decisions are backed by realtime
insights and long-term analysis so where
do you start with capability management
well the first step is capability
assessment this is where you take a look
at your existing skills and see how they
align with the needs of your
portfolio PMI suggests regularly
assessing your team skills and comparing
them to the demands of of upom of
upcoming
projects for example if you're about to
launch a new Aid driven product do you
have enough people skilled in AI
Technologies are they proficient in the
specific tools and programming languages
required without this assessment you
could end up with projects that stall
because you don't have the right
expertise a good example might be a
construction company that wants to Pivot
into Green Building practice
practices they assess their current team
and realize that while they have plenty
of experience in traditional
construction they lack the skills needed
to incorporate sustainable
Technologies by doing this capability
assessment early they can plan ahead
either by training their existing staff
or bringing in external Consultants to
fill the Gap this helps prevent delays
and ensures that the project has the
right people working on it from the
start now after assessing your current
capabilities there will often be gaps
this is where the next step comes in
building new
capabilities it's one thing to recognize
where you're lacking but the real
challenge is how to address
it PMI suggests a couple of different
methods here and in one way is through
upskilling investing in training your
existing team to build the new new
skills you
need let's say that same Construction
Company decides to upskill its its
current staff in
sustainable uh construction
practices they might send their
Architects and Engineers to courses on
Green Design energy efficient building
materials and renewable energy
systems this investment pays off because
you're not only filling capability gaps
but also helping your team grow which
keeps them engaged and
motivated another method is to hire
externally sometimes the skills Gap is
too large to be filled by upskilling
your current team in a reasonable time
frame in that case you may need to bring
in new Talent with the specific
expertise you're
missing for example a healthc care
company transitioning to a new patient
data system might find that none of
their current IT staff have experience
with the required software they could
hire a specialist or consultant to lead
the project ensuring the right skills
are on hand from day one but capability
management isn't just about filling gaps
it's also about sustaining your existing
capabilities it's easy to get caught up
in developing new skills and forget that
maintaining the skills you already have
is equally important teams can lose
proficiency over time if they aren't
continually using or refreshing their
skills PMI encourages organizations to
set up continuous learning opportunities
this could be through regular training
workshops or even internal knowledge
sharing where employees with specialized
skills Mentor others for example a tech
company that regularly uses a specific
coding language might offer refresher
courses or host coding challenges to
keep their Engineers
sharp sustaining existing capabilities
is about ensuring that your team stays
competitive and doesn't fall behind as
industry standards
evolve finally reporting and analytics
are critical to capability management
how do you know if your capability
building efforts are paying off how do
you track whether your team's skills are
improving or or if there are still gaps
that need
addressing PMI recommends organizations
use data and reporting to monitor the
effectiveness of their capability
strategies you can track metrics like
training completion rates employee
performance improvements after training
or the success rates of projects that
required new skills these insights help
you see if your capability building
Investments are actually leading to
better project
outcomes for instance let's say a retail
company implements new e-commerce
software and invests in training their
staff to use it by tracking key
performance indicators kpis like the
time it takes for employees to become
proficient the number of Errors reduced
posttraining and overall system
efficiency they can see if the training
has truly paid off off if the results
aren't as expected they might adjust
their training approach or even revisit
their hiring strategies to bring in more
qualified talent in addition regular
portfolio reviews help organizations
keep a pulse on their
capabilities these reviews give
leadership the chance to reassess
whether the skills they've built are
still aligned with their strategic goals
the market can change quickly and
sometimes the capability I ities that
were critical a year ago might no longer
be relevant by staying on top of these
reviews companies can adjust their
capability building strategies to ensure
they remain competitive and adaptable to
Industry
changes so let's pull it all
together capability management according
to PMI is about more than just having
enough people it's about having the
right people with the right skills to
deliver on your strategic
goals it starts with assessing what
skills you currently have then building
new capabilities to fill any
gaps alongside that you need to sustain
your existing capabilities to keep your
team
sharp and all of this needs to be
supported by data analytics and regular
reviews to ensure your strategy is
working and remains aligned with your
portfolio's needs now when we talk about
capacity and capability it's easy to
think of them as separate
issues capacity is about how much work
you can handle at any given time how
many resources people and hours you can
dedicate to
projects capability on the other hand is
about the quality of work do you have
the right skills and expertise to
actually deliver on those projects but
here's the catch managing both at the
same time
creates an optimization
challenge organizations often find
themselves trying to balance having
enough resources while also having the
right expertise in place it's rarely an
either or situation it's a constant
tradeoff between quantity and
quality let's break this down imagine an
organization that has a huge project
pipeline but is stretched thin on
resources
they might have enough people in their
team so capacity isn't the issue but the
real problem is that those people might
not have the necessary skills to tackle
some of the specialized projects that
are coming down the
pipeline this creates a situation where
you're constantly trying to optimize
between getting more people on board or
focusing on upskilling the people you
already have PMI theories address this
through balancing resource capacity with
capability
enhancement take resource leveling as an
example PMI suggests that resource
leveling helps spread the workload more
evenly across your team to avoid burnout
but if you focus only on leveling the
workload just managing capacity without
addressing whether your team actually
has the right skills you run into the
problem of of people being busy but not
necessarily
productive in this case while you've
optimized for capacity you've
compromised on
capability so what's the
solution PMI recommends organizations do
capability assessments to evaluate
whether the right people with the right
skills are assigned to the right
tasks for instance in a software
development company you might have
enough Engineers to take on several new
projects but if none of them specialize
in the emerging technology you need for
a key initiative you have a capability
Gap you might choose to invest in
training those Engineers to build that
skill set but in doing so you
temporarily reduce
capacity because those individuals will
need to step away from active projects
to train this leads us to the tradeoff
when you invest in capability like
training or hiring specialized Talent
you temporarily reduce
capacity the time or resources you spend
building capability takes away from the
immediate availability to work on
projects for example a financial
services firm might realize it lacks
cyber security expertise to manage a new
Regulatory Compliance project so they
either hire outside Consultants or train
internal teams both options affect
capacity either by using resources to
hire or by pulling employees out of
current projects for
training this trade-off between
short-term capacity and long-term
capability is a constant Balancing Act
in portfolio management now this
optimization problem gets even more
complex when you add in Project
prioritization let's say your
organization has both capacity and
capability issues at the same time you
don't have enough people to cover all
your projects and you also don't have
the right skills in place for some of
the more critical
tasks how do you decide where to focus
your
efforts PMI suggests using
prioritization methods like scoring
models and strategic alignment to decide
which projects get the green light you
could prioritize projects that align
most closely with your current
capability and delay those that require
skills your team doesn't have yet for
instance a Manufacturing Company might
have a backlog of projects but after a
portfolio review they prioritize
projects focused on operational
efficiency because their current team
has the expertise for that they delay
more complex
projects requiring AI
integration until they can train staff
or hire the right Talent
so what does this look like in practice
let's say a healthc Care Organization is
balancing its digital transformation
initiatives with day-to-day operational
demands they need to implement new
electronic health record systems but
also maintain Patient Care Quality they
don't have enough it professionals to
handle both and at the same time the IT
team they do have isn't trained in the
the new system being rolled out here the
organization has to make a decision do
they Outsource the technical work and
keep their capacity up but sacrifice
internal capability building or do they
take the time to train their it team
reducing capacity in the short term but
investing in long-term
capability pmis theories on portfolio
management would recommend doing a cost
benefit analysis to assess the the
tradeoffs looking at both immediate
needs and long-term strategic goals if
the digital transformation is key to
Future growth investing in training
might be the better long-term move even
if it means slowing down in the short
term another key method PMI suggests for
managing this balance is demand
forecasting by looking at upcoming
project needs and the capability is
required you can better prepare your
teams in advance if you know that in 6
months you'll be launching a project
that requires new skills you can start
building that capability now so by the
time the project kicks off you've
already managed the Gap without
sacrificing current
capacity this proactive approach can
help reduce the pressure of the tradeoff
smoothing the process of balancing
immediate workload with long-term
growth the bottom line is the trade
trade off between capacity and
capability management isn't something
you can completely avoid it's an
inherent challenge in managing a
portfolio but the key is to recognize it
and actively manage it rather than being
reactive by using pmis methods like
resource leveling capability assessments
prioritization and demand forecasting
you can make more informed decisions
about how to balance the two sometimes
you'll need to sacrifice capacity in the
short term to build long-term
capability other times you'll have to
push forward with limited skills and
rely on external support to keep
capacity high it's all about making
those decisions
strategically so you're always aligning
your resources and skills with your
organizations's goals
[Music]
Ver Más Videos Relacionados
Capacity Management (No Background Music)
Introduction to Aggregate Planning (Meaning, Concept, Objectives, Steps, Benefits, Inputs & Outputs)
CAPACITY MANAGEMENT PT 3 of 3 | COPING WITH DEMAND FLUCTUATIONS (STRATEGIES) | SITORA INOYATOVA
What is Operations Management? | Rowtons Training by Laurence Gartside
Why should I monitor Kubernetes during Performance testing #kubernetes #performanceengineering
M3 L5 Enhancing Performance and Ensuring Quality
5.0 / 5 (0 votes)