
Capacity as both the biggest cost line and the source of everything you can deliver
Employee types, segmentation, and what full-time equivalent actually means
Gap analysis for finding the mismatch between need and availability
Reading the external market rather than assuming it
Turnover and retirement analysis
Career transition analysis
Extrapolation, interpolation, Delphi and nominal group methods
Gathering requirements, and the team competency matrix
Designing a position rather than inheriting it
Job analysis
Analysing actual workload, which is where most estimates fall apart
Segmenting and calculating the value of each segment
Combining functions and eliminating duplication
Process automation and business process optimisation
Internal part-time, project work and matrix structures
Outsourcing, remote work and relocation, and what each really saves
Implementing a performance management system
Managing competencies against the plan
Using learning to raise output rather than to fill a budget line
The 7B model
Cost-benefit analysis on capacity decisions
Employer brand and the value proposition
Engagement, and effective total rewards
Why operations becomes a role once a company passes fifty people
How it differs from project management and from the chief operating role
The key areas of responsibility
Typical mistakes and false expectations about the role
What a process is and what it is not
End-to-end thinking and value for the business
Mapping the key processes
Where formalisation is needed and where it becomes bureaucracy
Why metrics do not work in most companies
Input, output and outcome indicators
Leading and lagging metrics
Metric owners, dashboards, and avoiding analytics for its own sake
Where a company loses time, money and focus
Bottlenecks and system constraints
Queues, idle time and context switching
Quick wins, standardisation, and when automation is genuinely needed
Why teams fail to connect with each other
Cross-functional processes and the friction between them
Operational meetings and status updates
Weekly, monthly and quarterly rhythms that stay useful
Why order keeps breaking down
Operations during growth and scaling
Managing change through processes
Resistance and inertia, and when to stabilise instead of rebuild
The tools an operations function actually needs
Process and workflow systems
Metrics, dashboards and data sources
When a spreadsheet beats a corporate system, and the typical automation mistakes
Who comes into this work and from where
Operations as a strategic role rather than an administrative one
Demonstrating value to the business, and the return on it
The career track, and a personal roadmap
The 4S model, and how analysis answers a properly framed question
Which data is genuinely useful and which is collected out of habit
Selling the value of analytics to leadership
How analysis changes a decision rather than describing one
Segmenting on basic characteristics
Visualising the segments
Analysing inside a segment rather than across the whole
Grouping segments, and finding what the average was hiding
What lifetime value means and how it is calculated
Calculating return on investment for a workforce
Finding the segments that generate the most value
Making capacity decisions on that number
Visualising a journey map
Collecting the data behind it
Using surveys to manage each stage
Which questionnaire belongs where
Reading a funnel properly
What can be measured at each stage
Analysing performance rather than volume
Which conclusions the metrics actually support
ABC analysis
Building the model
Assessing performance with it
Assessing engagement alongside it
The typical mistakes in turnover analysis
Measuring turnover and retention correctly
Measuring loyalty and intent to stay
Why attrition is a capacity problem before it is a people problem
Designing a survey that produces analysable data
Key driver analysis, and selecting the drivers that matter
Visual assessment before calculation
Finding and calculating correlations
The first steps into regression
Multiple regression in a spreadsheet
Interpreting the result rather than quoting it
R-squared, standard error and analysis of variance
Building a forecast and applying a trend line
Trend analysis
Designing an experiment and forming a control group
Creating the sample, and analysing what comes back
The role of budgeting in an operating business
What can actually be budgeted here
The optimisation options available
How to link the budget to the business rather than to last year
What comes first, the budget or the strategy
Gathering the information, and which figures to analyse
Where market benchmarks come from
Whether a budget is fit for purpose, and calculating the return on it
The key metrics behind this cost line
The budget items inside it
Budgeting for brand activity around it
Not overspending, and managing the budget flexibly
This course contains the use of artificial intelligence.
Capacity is not how many people you have. It is how much work they can absorb without quality dropping, and almost nobody measures the distance between those two numbers.
Why "we need more people" rarely gets approved
Because it arrives as a feeling. The team is visibly overloaded, everyone agrees, and then finance asks how much work is actually arriving, how long each type takes, and what the current utilisation is — and there is no answer. So nothing happens, the team stays overloaded, and six months later someone leaves and the capacity problem becomes a hiring problem at a worse moment. I have made that request and been unable to answer the second question.
What this course actually covers
Five blocks. First, the arithmetic: employee types and full-time equivalents, demand forecasting from extrapolation through to Delphi, job design and workload norming, and the gap analysis between what you need and what you have. Second, the operating layer, which is where capacity is genuinely lost — bottlenecks, queues, idle time, context switching, unsynchronised teams and meetings that became a ritual. Third, measurement: segmentation, lifetime value, funnels, correlation, multiple regression and forecasting, so an impression becomes a number. Fourth, the money: linking a budget to strategy, calculating return, and budgeting payroll, hiring, learning and automation. Fifth, individual capacity — prioritisation, delegation, time blocking, and finding where the hours actually went.
A note on the material
Twenty-two of the thirty-six lessons use workforce planning and workforce budgeting as their material. That is the core of the subject rather than a substitute for it: in any organisation built on knowledge work, capacity is people and payroll is the largest line in the budget. The apparatus is general — gap analysis, the theory of constraints, regression, forecasting and return calculations do not care what you are planning.
Who is teaching this
I am Mike Pritula. I built the people system at Preply as it became a unicorn, planning capacity through a period of very fast growth, and I have worked at Wargaming, iDeals and Alfa-Bank. More than 1.6 million students have enrolled in my courses across 185 countries, and over 150,000 specialists have gone through my programmes. I hold PHRi and SHRM-CP certifications and represent HRCI in more than ten countries.
What is included
Lifetime access to all 36 lessons
Active instructor support in the Q&A section
A Udemy Certificate of Completion
Working material: full-time equivalent calculations, demand forecasting methods, gap analysis, the constraint and waste checklist, regression and forecasting, the budget structure and return calculation
Practical work on your own numbers rather than on a case study
Where to start
Take one week and record how many pieces of work arrived, how many were finished, and how long each type took. That single table answers the question finance asks, and most teams have never built it. Enrol now and start today.