
In this lecture you build the Decision Data Map, sort four data requests around one real decision into its four squares, and get the move each square asks for, including what to do when the number you need will not arrive in time.
This course is built from six disciplines: business and finance, product management, revenue operations, indicator design, the Google case and strategic planning.
The map of the course
A dictionary for reading lectures from other fields as strategy work
A short self-diagnostic that shows which sections to watch first
Download the Decision Data Map and fill in one line after each lecture.
Environmental analysis, and STEEPLE in place of PESTEL
SWOT and environmental scanning
Types of organisational structure, and how one is chosen
Stakeholders, the E-V-R model, and the theories behind the vocabulary
Economic systems and market structures
Competitive strategies, and Porter's five forces
The Boston matrix
The labour market, and workforce planning as a constraint on strategy
The instruments of economic policy
Inflation and interest rates, and why they change your discount assumptions
What central banks do
The types of company and what changes between them
Legal systems and business regulation
Labour legislation
International financial institutions and trade
Globalisation, and multinational structures
Population growth and composition
The social trends that reach a business
Inequality
Which of these belong in a strategic assumption
How technology develops and what it does to strategy
Knowledge management
Ethics, values and social responsibility
Risk management as a standing agenda item
Strategy models and strategic analysis
Making strategic choices and implementing them
Change management and strategic leadership
How a function connects to measured business performance
The three main financial statements
The five terms you need to follow a leadership conversation
Applying finance to your own area
Justifying an initiative in the language decisions are made in
How the role evolved into an executive one
How it differs from technology, marketing and general management
Acting as the voice of the customer inside the company
Balancing business, users and technology when the three disagree
Product vision and mission
Finding product-market fit, and sustaining it as the market moves
Setting strategic priorities and product goals
Linking product strategy to business goals rather than beside them
The product life cycle
The BCG and McKinsey matrices, and the other approaches
Deciding to invest, maintain or retire
Balancing core products, adjacent bets and genuine innovation
Methods for researching a market and a genuine customer need
Jobs to Be Done and design thinking
Customer journey mapping
Validating a hypothesis before building anything
The roles: managers, designers, analysts, researchers
Structuring a product organisation and aligning it with goals
Agile and Lean as an operating model rather than a ritual
Building a culture where experiments are allowed to fail
The North Star metric and the supporting set beneath it
The AARRR framework
The analytics tooling in common use
What being data-driven about a product actually requires
Monetisation models: freemium, subscription, transactional, licensing
Growth loops and product-led growth
Unit economics, and the lifetime value to acquisition cost relationship
Where financial accountability sits for a product owner
What happens to a product as the company scales
Supporting expansion into new markets
Managing technology and market risk
Building security and compliance into the process
The product owner as a driver of digital transformation
AI, platform business models and what follows
Partner ecosystems and open innovation
Where the role sits within company leadership
What this function is and why a business needs it
How it differs from sales, marketing and service operations
Owning the end-to-end revenue funnel
The typical pains of a company without it, and the model by company size
The revenue funnel against the sales funnel
The stages from lead through to retention
Where revenue most often leaks
Stage criteria, and the service level agreements between functions
The North Star metric at company level
Marketing, sales and service metrics reconciled into one set
Acquisition cost, lifetime value, payback, churn and expansion
Connecting team metrics to the profit and loss, and which metrics to delete
The customer system as a single source of truth
The structure it needs to support analysis
Fields, statuses and data-entry rules
Revenue dashboards for executives, and avoiding analytics for its own sake
Which revenue processes to standardise first
Automating across marketing, sales and service
Where AI genuinely strengthens the system
Forecasting and lead quality, and the automation mistakes that break a funnel
Where to start the rollout
A 90-day launch plan
Selling it to founders and the chief executive
Quick wins against systemic change, and how effectiveness is judged
The four types of performance indicator, and why the distinction matters
The characteristics of a metric that works
How indicators connect to strategy
The 10-80-10 rule, and knowing your critical success factors
Cases from companies that did this properly
The four stages of building the system
Running a two-day workshop on success factors
Impact mapping to find the factors with the most leverage
The three laws of productivity
The emotional factors that decide whether people accept a metric
Preparing the short version and the full proposal
The eight steps of the promotion process
This course contains the use of artificial intelligence.
A strategy becomes checkable at the moment it can be calculated. Until then it is a set of intentions with a budget attached, and everyone in the room can agree with it while meaning different things.
Where strategy stops being arguable
Someone says the company should move upmarket. Everyone nods. Nobody asks what that does to acquisition cost, what the payback period becomes, which products in the portfolio it starves, or at what point the funnel stops converting. Those questions are not hostile — they are the only way to tell a strategy from a preference. I have sat in rooms where the loudest argument won because nobody present could do the arithmetic quickly enough to challenge it.
What this course actually covers
Six blocks, each giving a strategy a different numerical footing. First, the context you measure inside: market structure, Porter's five forces, the Boston matrix, economic instruments, regulation, risk, and the three financial statements. Second, the product: reading a portfolio, deciding what to invest in or retire, the North Star metric and the supporting set, monetisation models and unit economics with the lifetime value to acquisition cost relationship. Third, revenue as a system — the funnel from lead to money, where it leaks, service agreements between functions, and connecting team metrics to the profit and loss. Fourth, designing the measures themselves: critical success factors, deriving indicators from them, displaying them properly, and the six myths that break most measurement systems. Fifth, eight lessons on a company that built its decisions on data and published the method rather than only the conclusions. Sixth, converting all of it into a strategic plan with owners, metrics and dates.
A note on two of the blocks
Sixteen of the forty-five lessons carry a people-side accent: the finance block closes with justifying a function's initiatives, and the Google block is about decisions concerning people. That case is here precisely because it is one of the few times a company published its methodology rather than its conclusions. The apparatus throughout — STEEPLE, five forces, the Boston matrix, the three statements, unit economics — does not change by department.
Who is teaching this
I am Mike. I built the people system at Preply as it became a unicorn, 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 45 lessons
Active instructor support in the Q&A section
A Udemy Certificate of Completion
Working material: five forces, the Boston matrix, the three statements, the North Star and AARRR sets, unit economics, the revenue funnel, impact mapping, the 10-80-10 rule, the two-day session agenda
Real cases from Google and others
Where to start
Take the biggest strategic claim your company made this year and write down the single number that would prove it wrong. If you cannot name one, the claim is not yet a strategy. Enrol now and start today.