
Why long-range forecasts about work keep missing
Three classes of signal: durable shift, cyclical swing, hype
The primary sources worth reading yourself rather than in summary
The filter rule: a trend enters the plan only with an owner, a metric and a first step
The difference between automation, an assistant and an agent that plans
Breaking a role into tasks by frequency, complexity and cost of error
Where automation pays back quickly
Where it must not be allowed, and what happens when targets are not changed
How much of the core skill set is expected to change, and how fast
Building a skills library without buying a platform
Gap analysis: from a skills map to a plan with a budget
Internal mobility as the answer to scarcity, and where it breaks
What changed in the priorities of the youngest workers
Technology as a given rather than a threat
Why templates and one-size-fits-all stopped working
Two-way mentoring, and where multi-generational conflict is real
Why a single engagement index stopped telling you anything
Value exchange instead of a benefits package
Where a pay rise does not solve a retention problem
Framing the conversation in turnover, productivity and replacement cost
What is wrong with the classic model: handoffs, duplication, slow decisions
Why organisations assemble hybrids instead of adopting one model
The blended workforce, and processes never designed for it
Building the roadmap across three horizons, one owner and one metric each
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 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
Understanding why people actually leave
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
Headcount as both the biggest cost line and the source of capacity
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
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
What critical thinking is, and what it is not
How it differs from logical and creative thinking
Its role once you have several plausible futures on paper
Objectivity, rationality and reasoning from evidence
Deduction, induction and abduction
What separates a strong argument from a weak one
Building a scenario that survives a board challenge
Recognising errors in reasoning, including your own
What cognitive biases are
Confirmation bias, anchoring and framing
Why forecasts so often confirm what was already believed
Practical techniques for reducing the effect
Separating fact from opinion
Verifying accuracy
Primary against secondary sources
Fact-checking as a planning skill
OODA, Cynefin and cost-benefit
Using analysis and argument to choose
Managing risk and uncertainty explicitly
Cases from business and from ordinary life
Applying it inside a business
Using it in negotiation and communication
Its connection to creativity and innovation
Building your own development plan for it
This course contains the use of artificial intelligence.
You cannot predict next year. You can be ready for four versions of it. Those are different skills, and only one of them is taught.
Why one plan is not a plan
Most annual planning produces a single future with numbers attached to it. Everyone knows it will not happen exactly, nobody builds an alternative, and when the year turns out differently the response is improvisation dressed up as agility. The uncomfortable part is that the alternatives were usually visible in advance. Somebody had the data, somebody had noticed the signal, and there was no method for turning either into a version of the plan. I have run that annual cycle and called the improvisation afterwards a strategy.
What this course actually covers
Six blocks, following the steps of building scenarios. First, reading signals: telling a durable shift from a cyclical swing and from hype, and the filter that decides whether something enters a plan at all. Second, the quantitative base — ten lessons of analytics through segmentation, correlation, multiple regression, trend lines, forecasting and experiments with a control group. Third, modelling capacity under different futures: demand forecasting, gap analysis, norming, optimisation and the arithmetic of what each option really saves. Fourth, judging your own reasoning — the biases that write a scenario before you look at any data, and decision models for genuinely unclear situations. Fifth, the scenario nobody plans for and everybody eventually meets: operating with the budget gone, including hiring, hard choices, communication and a contingency plan. Sixth, converting all of it into a strategic plan with owners, metrics and dates.
A note on the material
Twenty-eight of the forty lessons use workforce data and workforce scenarios. That is deliberate rather than incidental. Headcount is the largest cost line in most organisations and the slowest one to change, which makes it the sharpest thing to model scenarios against. The methods do not depend on it: regression, experiment design, gap analysis and the decision models behave identically whatever the rows contain.
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 when the plan changed every quarter, 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 40 lessons
Active instructor support in the Q&A section
A Udemy Certificate of Completion
Working material: the trend filter, regression and experiment design, gap analysis, capacity models, OODA and Cynefin, the contingency plan, the two-day session agenda
Practical work on your own data rather than on a case study
Where to start
Take this year's plan and write down the single assumption that, if wrong, breaks the most of it. Then ask what you would do if it were wrong. That question is the whole discipline in one line. Enrol now and start today.