
In this lecture you build the four moments of your own planning year, see which one gets skipped and why scenarios die there.
This course is built from six disciplines: trends and signals, people analytics, capacity planning, critical thinking, crisis operations and strategic planning.
The map of the course with a dictionary for reading lectures from other fields as scenario work
Three questions to ask after every lecture
A short self-diagnostic that shows which sections to watch first
Download the Scenario Watch Calendar and fill in one line after each lecture.
Tools in this lecture
Files to download (1)
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
Tools in this lecture
Files to download (1)
Ready to use on the slides (2)
Services and apps shown in this lecture (1)
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
Tools in this lecture
Files to download (2)
Models and methods explained (1)
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
Tools in this lecture
Ready to use on the slides (7)
Models and methods explained (1)
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
Tools in this lecture
Files to download (1)
Ready to use on the slides (5)
Models and methods explained (4)
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
Tools in this lecture
Ready to use on the slides (6)
Services and apps shown in this lecture (1)
Models and methods explained (2)
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
Tools in this lecture
Ready to use on the slides (4)
Services and apps shown in this lecture (27)
Models and methods explained (2)
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
Tools in this lecture
Ready to use on the slides (4)
Models and methods explained (6)
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
Tools in this lecture
Ready to use on the slides (1)
Models and methods explained (5)
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
Tools in this lecture
Ready to use on the slides (5)
Visualising a journey map
Collecting the data behind it
Using surveys to manage each stage
Which questionnaire belongs where
Tools in this lecture
Ready to use on the slides (12)
Reading a funnel properly
What can be measured at each stage
Analysing performance rather than volume
Which conclusions the metrics actually support
Tools in this lecture
Ready to use on the slides (21)
Models and methods explained (2)
ABC analysis
Building the model
Assessing performance with it
Assessing engagement alongside it
Tools in this lecture
Ready to use on the slides (3)
Services and apps shown in this lecture (2)
Models and methods explained (1)
The typical mistakes in turnover analysis
Measuring turnover and retention correctly
Measuring loyalty and intent to stay
Understanding why people actually leave
Tools in this lecture
Ready to use on the slides (9)
Models and methods explained (5)
Designing a survey that produces analysable data
Key driver analysis, and selecting the drivers that matter
Visual assessment before calculation
Finding and calculating correlations
Tools in this lecture
Ready to use on the slides (11)
Services and apps shown in this lecture (2)
Models and methods explained (2)
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
Tools in this lecture
Files to download (1)
Ready to use on the slides (3)
Services and apps shown in this lecture (1)
Models and methods explained (1)
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
Tools in this lecture
Ready to use on the slides (3)
Services and apps shown in this lecture (3)
Models and methods explained (4)
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
Tools in this lecture
Ready to use on the slides (2)
Models and methods explained (1)
Turnover and retirement analysis
Career transition analysis
Extrapolation, interpolation, Delphi and nominal group methods
Gathering requirements, and the team competency matrix
Tools in this lecture
Ready to use on the slides (8)
Models and methods explained (9)
Designing a position rather than inheriting it
Job analysis
Analysing actual workload
Segmenting and calculating the value of each segment
Tools in this lecture
Ready to use on the slides (5)
Models and methods explained (3)
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
Tools in this lecture
Ready to use on the slides (7)
Services and apps shown in this lecture (7)
Models and methods explained (8)
Implementing a performance management system
Managing competencies against the plan
Using learning to raise output rather than to fill a budget line
Tools in this lecture
Ready to use on the slides (9)
Models and methods explained (6)
The 7B model
Cost-benefit analysis on capacity decisions
Employer brand and the value proposition
Engagement, and effective total rewards
Tools in this lecture
Ready to use on the slides (16)
Models and methods explained (2)
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
Tools in this lecture
Ready to use on the slides (3)
Models and methods explained (2)
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
Tools in this lecture
Ready to use on the slides (2)
Models and methods explained (5)
What cognitive biases are
Confirmation bias, anchoring and framing
Why forecasts so often confirm what was already believed
Practical techniques for reducing the effect
Tools in this lecture
Ready to use on the slides (2)
Models and methods explained (3)
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 usually taught. Here are 391 tools for the second: 242 ready-to-use question lists, templates, procedures, checklists and formulas, 102 models and methods, 41 services shown on screen and 6 working files.
Open a lecture, take the template, and build your first scenario on your own data.
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 that way, but there is no version for what happens instead. When the market shifts, the plan is defended for months and then rewritten in a hurry, and the decisions that would have been easy in January become expensive in June.
What changes after this course
You read signals and separate a shift from noise. You forecast from your own data, model capacity under several futures and see the gaps early. You know which biases shape the scenario, how to decide when the situation is unclear, and what the contingency plan says if the budget disappears. And you turn the scenarios into a plan people execute.
What is inside: 391 tools, counted lecture by lecture
You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name.
Where the tools are
Reading signals (2 sections, 66 tools). Shift, cycle or noise, generations, engagement and the operating model.
Data and forecasting (4 sections, 105 tools). The quantitative base, journey and funnel analytics, attrition, surveys, regression and experiments.
Modelling futures (2 sections, 83 tools). Capacity under different futures, optimisation and the full cycle.
Deciding under uncertainty (2 sections, 45 tools). Judging the scenario you built, evidence and decisions when the situation is unclear.
The hard scenario (2 sections, 69 tools). The scenario everyone must be ready for, hard choices, communication and contingency.
From scenario to plan (2 sections, 54 tools). Turning scenarios into a plan, running the session and executing.
Who is teaching
I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe. I am also a founder and lead the strategy of my own academy.
When I joined Marcom in 2008, the crisis was at its peak: clients stopped paying, the hryvnia fell by half against the dollar, and there was no money for bonuses or even salaries. My employee survey showed that people wanted to know what was happening, so the CEO stood in front of everyone and said in a few simple phrases how bad things were. At Wargaming, when leaders worried about resignations, I showed that attrition had grown from 10% to 12% to 15% and that at this pace it would reach 30-35% within five years. A forecast, not a report, is what made people act.
How to use the course
Start with the signal and data sections, then build one scenario set and its contingency plan for your own organisation. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.
What is included
Where to start
Write down the one assumption your current plan depends on most, then open the first section and test whether it is a shift, a cycle or noise. Enrol now and start your first lesson today.