This course contains the use of artificial intelligence.

A strategy becomes checkable 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. Here are 445 tools to calculate it: 280 ready-to-use templates, procedures, checklists, matrices and AI prompts, 146 models and methods, 7 services shown on screen and 12 working files.

Open a lecture, take the workbook, test one strategic claim this week.

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 it starves, or where the funnel stops converting. Those questions are not hostile. They are the only way to tell a strategy from a preference.

What changes after this course

Every strategic claim comes with the number that would prove it wrong. The product portfolio is managed with metrics. Revenue is seen as one funnel from lead to money. Indicators are derived from critical success factors, not copied from a list. And the strategy becomes a plan with owners, metrics and dates.

A note on two blocks

Several lessons carry a people-side accent: the finance block ends with justifying a function's initiatives, and one block studies a company that built its decisions about people on data and published the method rather than only the conclusions. The tools throughout, from five forces to unit economics, do not change by department.

What is inside: 445 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.

• 57 downloadable resources: the lecture presentations plus 12 working files, from the Decision data map to the RevOps 90-day implementation workbook
• 280 ready-to-use tools inside the presentations:
• 66 templates and sample documents: product strategy one-pager, North Star metric selector, experiment canvas, balanced scorecard
• 61 step-by-step procedures and workflows: strategic option evaluation, experiment-driven strategy development, critical success factor metric mapping, KPI implementation
• 51 checklists: strategy stress test, experiment validity, actionable metrics audit, KPI quality
• 37 scorecards, rubrics and matrices: SWOT analysis, risk probability-impact matrix, BCG matrix, LTV/CAC ratio
• 34 question lists and scripts: financial health review, customer interview script, metric discovery, key strategic questions
• 16 formulas and metric sets: financial health metrics, product portfolio metrics, North Star input metrics, RevOps KPI formulas and benchmarks
• 13 ready AI prompts: revenue funnel audit, SaaS unit economics, leading and lagging metrics, RevOps business case
• 2 other working tools: PMF diagnostic sheet, goal achievement competency rubric
• 146 models and methods explained with examples: Porter generic strategies, VRIN framework, gap analysis, cohort analysis
• 7 services shown on screen: Microsoft Power BI, Tableau, OKR in Jira, PeopleForce, 15Five, ChatGPT and Google Sheets

Where the tools are

• Start here (1 tool). The Decision data map: sort the data that would change your decision.
• The context (3 sections, 65 tools). The organisation and its environment, competition, regulation, technology, strategy and the financial statements.
• The product (3 sections, 125 tools). Product strategy, portfolio, customer research, the product team, metrics, monetisation and scaling.
• Revenue as a system (2 sections, 97 tools). The revenue funnel, unit economics, the system of record, automation and rollout.
• Designing the measures (3 sections, 64 tools). KPIs, critical success factors, deriving and displaying indicators, implementation and myths.
• A company that published its method (3 sections, 71 tools). Decisions on data, goals, development, culture, innovation and analytics.
• The plan (2 sections, 54 tools). Strategic planning, session preparation, gap analysis, the two-day offsite and execution.

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.

Year after year I planned headcount for shareholders, and every year the question was why the number of people kept growing. Arguments about strategy did not settle it; one calculation did. We showed revenue per employee over time, and the discussion moved to facts. At Preply, after an audit, I broke the HR function into about seventeen processes, marked the status of each, and deliberately limited myself to five priorities for the year.

How to use the course

Start with the first lecture and its decision data map. Then go through the blocks in order, or open the one where your strategy is least calculable. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.

What is included

• 47 lectures across 17 sections, 25 hours
• 57 downloadable resources: lecture presentations and 12 working files
• 445 tools across the lessons, including 7 services shown on screen
• Lifetime access to all materials
• Active instructor support in the Q&A section
• A Udemy Certificate of Completion

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 your first lesson today.