This course contains the use of artificial intelligence.

584 tools for product management in one course: 17 downloadable tool files, 371 ready-to-use templates, procedures, checklists, AI prompts and formulas, 184 models and methods, and 12 services and apps shown on screen.

Open a lecture, take the tool, use it on your own product.

Why good products fail

A team builds a feature for three months, and users ignore it. The roadmap is a list of requests from whoever asked loudest. Nobody can say which number the product is supposed to move. The usual cause is the same: the team went straight to building and skipped the part where you find out what the customer needs and whether it will pay back.

What changes after this course

You know the customer's task before you design the solution. You have one metric the product is judged by and the numbers that feed it. You write requirements a developer can build from and a tester can check. You see the bias in your own product decisions. You plan delivery with a scope, a schedule and risks. And you take the product to market with a position, a channel plan and a budget.

What is inside: 584 tools, counted file by file

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.

• 17 downloadable tool files: a product numbers sheet, a PRD template, an elicitation tracker, a stakeholder register, an interview script, two requirements traceability matrices, a user stories and acceptance criteria template, a process analysis, a process improvement proposal, a change impact analysis, a scope change log and KPI dashboards
• 371 ready-to-use tools inside the presentations:
• 118 templates and sample documents: product strategy one-pager, North Star metric selector, customer journey map, experiment canvas
• 61 step-by-step procedures and workflows: product-market fit discovery, experiment-driven strategy development, product investment decision tree, market research process
• 54 checklists: product-market fit signals, strategy stress test, customer research, product metrics system
• 44 question lists and scripts: customer interview script, behavioral segmentation, cross-product review, prelaunch risk review
• 43 scorecards, rubrics and matrices: impact-effort matrix, competitive positioning map, BCG matrix, value verification matrix
• 26 ready AI prompts: business problem statement generation, requirements prioritization, user story generation, acceptance criteria generation
• 21 formulas and metric sets: product portfolio metrics, North Star input metrics, AARRR funnel metrics, engagement and retention metrics
• 4 other working tools: PMF diagnostic sheet, MoSCoW prioritization, Cynefin framework
• 184 models and methods explained with examples: Working Backwards, Jobs to Be Done, Double Diamond, cohort analysis
• 12 services and apps shown on screen: Figma, Notion, Airtable, Confluence, Lucidchart, Microsoft Project and others

Where the tools are

• Product core (6 sections, 127 tools). Role and strategy, product-market fit, portfolio and life cycle, customer discovery, team and experimentation, metrics, monetisation and scaling.
• Voice of the customer (3 sections, 79 tools). Service audit and strategy, customer team, automation, experience metrics, difficult customers.
• Requirements and processes (2 sections, 116 tools). Elicitation, user stories, process modelling, systems thinking, managing change. 16 of the 17 tool files are here.
• Product decisions (2 sections, 45 tools). Logic, biases, evidence, decision models.
• Execution (3 sections, 97 tools). Business case, stakeholders, scope, schedule, budget, risk, delivery and closing.
• Go-to-market (2 sections, 152 tools). Audit, competitive analysis, strategy, budget, brand, digital funnel, team, AI in marketing.

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.

I watched product decisions from inside two product companies. Preply started as an online marketplace of language schools. The product was good, but the price of a lesson was small and people went to the schools directly, so it did not pay back. The team made a pivot to tutors, and that is what took off. At Wargaming an experienced product team once planned an update, the news leaked to the forums, and players organized a boycott until the release was stopped. We had felt that we knew everything. After that the team started with discovery and definition instead of jumping straight to development.

How to use the course

Start with the Start Here lecture and its numbers sheet, then the six product sections in order. Use the rest by task: requirements, decisions, delivery or launch. Section and lecture titles show how many tools are inside, and each lecture description lists them by name.

What is included

• 49 lectures across 19 sections, 27 hours
• 65 downloadable resources: 17 tool files and the lecture presentations
• 584 tools across the lessons, ready to copy into your own work
• Lifetime access to all materials
• Active instructor support in the Q&A section
• A Udemy Certificate of Completion

Where to start

Open the Start Here lecture, download the product numbers sheet and fill in the numbers you already know about your product. The empty cells show what to find out first. Enrol now and start your first lesson today.