
The lecture starts with real work: you take one product or service you sell and run nine checks on the model behind it, the checks that show whether the model still adds up.
This course is built from five disciplines: product leadership, financial modelling, structured problem solving, process optimisation and game mechanics.
The map of the course
A simple dictionary for reading lectures from other fields as business model design
Three questions to ask after every lecture
A short self-diagnostic that shows which sections to watch first
Download the Model Expiry Check and fill in one line after each lecture.
How the role evolved from product manager to executive
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
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 real customer need
Jobs to Be Done and Design Thinking
Customer journey mapping
Tools for validating a hypothesis before building anything
The roles around a product: managers, designers, analysts, researchers
Structuring a product organisation, and aligning it with OKR
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
AARRR and the pirate metrics
Product analytics tooling: Mixpanel, Amplitude, GA4
What data-driven product management actually requires
Monetisation models: freemium, subscription, transactional, licensing
Growth loops and product-led growth
Unit economics, and the LTV to CAC relationship
Where financial accountability sits for a product leader
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 product process
The product leader as a driver of digital transformation
Innovation: AI, platform business models and what follows
Partner ecosystems and open innovation
Where the role is heading within company leadership
What it means for a business to be run on efficiency
Optimising the operating model
Which financial metrics actually measure it
Turning a strategy into a clear set of financial goals
Creating the foundation the business scales on
Understanding which resources the goals actually require
How modelling changes at each stage of growth
What suits a start-up and what breaks at scale
Recognising which stage your business is genuinely in
Embedding mission and vision into planned financial indicators
Why the two are usually written by different people and never reconciled
Remembering the people behind any efficiency metric
Building process chains that reflect how work actually flows
Identifying the inefficient areas
Why every business has black holes, and how to locate yours
Why setting a goal is not enough on its own
Getting people to believe the target is reachable
Energising them to actually deliver against it
Why the smallest task still needs a line back to the mission
How that link breaks when strategy becomes tactics
Keeping the pyramid intact as the organisation grows
What a budget is for, which is not spending the money
Building plans that support management decisions
Keeping the process simple enough that people use it
Metrics across the four dimensions of the business
How indicators kill motivation when designed carelessly
How to avoid destroying a working business with its own metrics
The Lean methodology in outline
Applying it to financial processes rather than to production
Where the waste actually sits in a finance function
Why a solid financial model makes scaling straightforward
Avoiding a process rebuild at every growth spurt
What has to exist before you scale rather than during
The next stage after efficiency
The future of financial modelling
What needs thinking about now rather than later
What a troubleshooter is and how the role differs from crisis management
Problem versus trouble, and when this method is the right response
The four steps: localise, find the cause, propose, implement
Balancing speed with systems thinking, and the error of treating symptoms
Moving from symptoms to substance with the 5W1H template
SCQA for packaging a problem into a clear request
Logic trees and MECE so nothing is missed
Cause and goal trees, and checking what is genuinely in scope
Five Whys as the simplest root extractor
The Ishikawa diagram and its categories of cause
Confirming a cause is real rather than a tidy story
Hypotheses versus facts, and the danger of stopping too early
The eighty-twenty rule applied to finding the vital few factors
The Pareto chart: seeing where most of the damage sits
Process mapping and bottlenecks through Theory of Constraints
Check sheets, data stratification, and prioritising by impact against cost
Brainstorming done properly, with its rules and its anti-rules
SCAMPER and Six Thinking Hats for getting past the obvious
Mind mapping for fast idea branching
The barriers to creativity, and screening ideas quickly against criteria
The Ideal Final Result and the search for hidden resources
Formulating and resolving contradictions without compromising
Altshuller's forty principles with business examples
Simplified ARIZ, and when TRIZ beats brainstorming and when it does not
This course contains the use of artificial intelligence.
Business models are not usually replaced because someone had a better idea. They are replaced because the old one stopped adding up, and everyone spent two years optimising it before admitting that.
The hard part is not designing a new model. It is recognising that the current one has expired.
Why companies optimise past the point of usefulness
Growth slows, so the response is more effort at the same levers: more marketing spend, more sales activity, more features. The metrics improve marginally and the underlying economics do not move, because the constraint is structural rather than operational.
Meanwhile nobody has decomposed the model into its parts — who the customer is, what they are actually hiring the product to do, how money is made, what a unit costs and returns — so there is no way to identify which part is broken. And the processes underneath were built for the model the company has already outgrown.
Product, economics and the model underneath
Forty-five lessons. Nine on product strategy: the role, finding and sustaining product-market fit, portfolio decisions with life-cycle logic, Jobs to Be Done and journey mapping for understanding what customers actually hire you for, product organisation design, North Star and AARRR metrics, monetisation models with unit economics, scaling and risk, and platform and ecosystem models.
Then twelve on the financial model underneath: what an efficiency-driven business is, how models evolve from start-up to corporation, translating intent into financial targets, finding process inefficiency, goal-setting people believe, the strategy pyramid, budgeting that supports decisions, indicators across four dimensions, Lean Six Sigma, scaling, and what follows efficiency.
Solving the problem and rebuilding the machinery
Then ten on structured problem solving, because redesigning a model is exactly the kind of problem with no available answer: framing with 5W1H, SCQA and MECE trees, root cause analysis, Pareto and Theory of Constraints, SCAMPER and Six Thinking Hats, TRIZ with the Ideal Final Result for contradictions that appear unresolvable, group facilitation, and the standard frameworks.
Then eight on process optimisation, because a new model meets the old process before it meets the market: waste, standardisation, maturity, five types of process map, improvement frameworks, architecture, and the full toolset from 5S and 8D through SIPOC, DRIVE and ICOR.
And six on gamification — the practical answer to getting people to participate in a change voluntarily, across attraction, onboarding, recognition, culture and learning, including options requiring no platform and no budget.
Who is teaching this
Mike, the number one HR instructor on Udemy. More than 1.6 million course enrolments, over 150,000 professionals trained, PHRi and SHRM-CP certified, HRCI representative in more than 10 countries. I built the people function of the unicorn Preply and worked at Wargaming, Alfa-Bank and iDeals — companies at very different stages, which is where the sense of when a model has expired comes from.
What is included
Lifetime access to all course materials
Active instructor support in the Q&A section
Udemy Certificate of Completion
Practical assignments and real business cases
A section with additional courses, tools and resources
Start with the unit
Take one unit of what you sell and write what it costs to acquire, deliver and support, and what it returns over its life. If those numbers are unavailable or contested, that is the first finding, and it explains why the strategy conversations keep going in circles. Enrol now and start the first lesson today.