The complete Product Management curriculum.
Prepare candidates with hands-on learning through real projects, case studies and simulations.
8 live hours a week
8 live hours a week across 3 sessions — plus self-paced videos, articles, case-study deep-dives, the scenario simulations lab and coach feedback.
8 weeks live class + 4 weeks self-paced.
Two months of live training with a certified instructor build the foundation; self-paced weeks turn it into a portfolio through case studies and simulations.
Introduction to Product Management
- What product management is — product vs service vs platform
- The PM role, responsibilities and interfaces (engineering, design, marketing, ops, sales, legal)
- Product Owner vs Product Manager vs Scrum Master
- The product lifecycle: discovery, development, growth, maturity, decline
- Debunking common Product Manager myths; a day in the life of a PM
You’ll leave with a clear picture of who a product manager is, what the day-to-day looks like, and how a PM sits between the business, engineering and design. We separate the PM role from the Product Owner and Scrum Master, walk the full product lifecycle, and bust the myths that trip up newcomers.
Slack — how a failed game (Glitch) pivoted into a category-defining workplace product, and how the PM role spanned discovery, positioning and cross-team coordination.
You’re the first-ever PM on a team that has shipped features with no clear owner. In week one, engineering and marketing each ask you to “own” conflicting priorities. How do you establish your role and your first decision?
🎯 Outcome: This module gets you started — beginner or seasoned PM, you’ll leave with a clear understanding of the role and how to think like one.
✨ Hands-on assignment: Map your own transferable PM skills and create a short improvement strategy for a product you use daily.
Product Core Concepts, Lifecycle & Agile
- Digital products vs physical products
- The product management lifecycle and the product development lifecycle
- Overview of Agile methodologies and the Agile Manifesto
- Scrum, Kanban and SAFe — when to use each
- How PMs operate inside Agile ways of working
You’ll understand what makes a product, how products move from discovery to growth to decline, and the Agile frameworks PMs work within day to day. We cover the difference between the management and development lifecycles, then compare Scrum, Kanban and SAFe so you know which fits which context.
Netflix — reading the product lifecycle to move from DVD-by-mail to streaming, deliberately cannibalising a healthy business before the market forced it.
Your product is in the maturity stage with flat growth. Leadership wants more features; the data hints the market is saturating. What lifecycle move do you recommend, and how do you frame it?
🎯 Outcome: You’ll be able to place any product on its lifecycle and speak Agile confidently with an engineering team.
✨ Hands-on assignment: Map a product you use through its lifecycle stage and recommend its next strategic move.
Discovery: User & Market Research
- Product thinking, product sense and product discovery
- User research types and methods; understanding customers
- Market research: segmentation, targeting, positioning
- Market sizing — TAM / SAM / SOM
- Frameworks: PESTLE, SWOT and competitive analysis
You’ll run the discovery work that de-risks what you build: qualitative interviews and surveys to understand customers, market research to size the opportunity, and competitive analysis to find your edge. We practise TAM/SAM/SOM sizing and the PESTLE/SWOT frameworks employers expect.
Superhuman — using the “how would you feel if you could no longer use this?” survey to measure and engineer product–market fit.
Your CEO is sure users want a dashboard. Three interviews suggest they actually want proactive alerts. How do you validate the real need before anyone builds a dashboard?
🎯 Outcome: You’ll be able to tell a real user problem from an assumed one and size the opportunity before a line of code is written.
✨ Hands-on assignment: Interview three people about a product frustration, write up the underlying job-to-be-done, and add a one-page market & competitor snapshot.
User-Centered Design, Frameworks & the BRD
- Problem definition and opportunity framing
- Personas, empathy maps, journey maps
- Design Thinking, Double Diamond, Lean UX; JTBD, 5 Whys & Fishbone
- User story mapping and customer journey mapping
- Writing the Business Requirements Document (BRD)
You’ll frame problems and generate validated solutions using the frameworks PMs rely on — Design Thinking, Double Diamond, Jobs-To-Be-Done, 5 Whys — then capture it all in a Business Requirements Document. We map user journeys to pinpoint exactly where the experience breaks down.
Airbnb — redesigning the booking flow after mapping exactly where trust broke down in the guest journey.
Onboarding completion is stuck at 40%. Your journey map shows three drop-off points. Which do you tackle first, and how do you capture the decision in a BRD?
🎯 Outcome: You’ll be able to map a user journey, pinpoint where it breaks, and capture the need in a clear BRD.
✨ Hands-on assignment: Draft a journey map for a real app’s onboarding flow, flag the drop-off points, and turn it into a one-page BRD.
Strategy, Vision, Roadmapping & Prioritisation
- Company vision & mission; product vision & strategy
- Goals, KPIs and OKRs
- Building product roadmaps (product, release, feature)
- Prioritisation: RICE, ICE, MoSCoW, Kano, Value vs Effort
- Success metrics and the North Star metric
You’ll turn vision into a prioritised, defensible roadmap. We connect company and product strategy to OKRs, then practise the prioritisation frameworks (RICE, ICE, MoSCoW, Kano, Value vs Effort) that decide what gets built — and how to defend those calls to sceptical stakeholders.
Amazon — “working backwards” from a press release and FAQ to decide what earns a place on the roadmap.
Sales wants a custom feature for one large deal that isn’t on the roadmap. Using RICE, how do you score it — and how do you tell Sales either way?
🎯 Outcome: You’ll be able to build and defend a prioritised roadmap and choose the metric that proves it’s working.
✨ Hands-on assignment: Score and rank a mock backlog of eight features, justify your top three in writing, and define a North Star metric.
Product Analytics & Pricing
- Product analytics and data-driven decision making
- Key metrics: NPS, DAU/MAU, churn, AARRR
- Event tracking, funnels, segmentation, cohort analysis
- A/B and multivariate testing; data-driven storytelling
- Pricing & revenue models, monetisation and packaging
You’ll instrument products, design experiments and turn data into decisions — funnels, cohorts, A/B tests and the metrics that matter (NPS, DAU/MAU, churn, AARRR). Then you’ll price and package the product with the right revenue model, including a live subscription-pricing scenario lab.
Slack — fair-billing and per-active-user pricing that tied revenue to the value customers actually received.
Engagement is up 20% but retention is flat. Design the funnel and cohort analysis you’d run to find the real story before reporting to leadership.
🎯 Outcome: You’ll be able to design an experiment that produces a real, defensible answer and choose a pricing model that fits the market.
✨ Hands-on assignment: Design a full experiment (hypothesis, metric, sample size, decision rule) and a subscription pricing model for a new market (Scenario Lab).
PRD/FRD, Design & Product Execution
- PRD & FRD: features → specs, user stories, acceptance criteria
- Wireframing, prototyping and the MVP; working with designers
- Agile execution: epics, stories, definition of done
- Sprints, PI planning and release management
- Stakeholder management and cross-functional leadership
You’ll translate requirements into a PRD/FRD, wireframes and an MVP, then drive delivery through sprints to a release. We cover writing crisp user stories and acceptance criteria, running the Scrum cycle, and leading stakeholders and cross-functional teams without formal authority.
Figma — turning multiplayer editing from a hard technical bet into a crisp PRD and a phased, low-risk delivery.
Two days before go-live, QA finds a critical edge-case bug. Do you slip the date, cut scope, or ship behind a flag? Make the call and justify it.
🎯 Outcome: You’ll be able to turn requirements into wireframes and drive a sprint from backlog to release.
✨ Hands-on assignment: Write a PRD with acceptance criteria for one feature and produce a low-fidelity wireframe of it.
Technical, AI/ML, Growth & Career Readiness
- Technical for PMs: architecture, APIs, SQL, Git, cloud
- AI/ML for PMs: LLMs, the AI product lifecycle, responsible AI
- Product-Led Growth and Go-to-Market (GTM)
- Acquisition, activation & retention (AARRR, habit-forming products)
- CV, LinkedIn, portfolio and interview preparation
You’ll gain the technical fluency to converse with engineers (architecture, APIs, SQL, Git, cloud), learn to ship AI/ML features responsibly, and build a product-led growth and go-to-market engine. We finish with career readiness — portfolio, CV, LinkedIn and PM interview prep — so you can go to market as a hireable PM.
Duolingo — a growth model built on streaks, notifications and the AARRR funnel that turned language learning into a daily habit.
The CEO wants “AI” added to impress the board, but your research doesn’t support it. How do you convert the hunch into a cheap, decisive test?
🎯 Outcome: You’ll be able to converse with engineers, ship AI and growth features, and present yourself as a job-ready PM.
✨ Hands-on assignment: Produce a Go-to-Market one-pager and a polished PM portfolio case study built from your program work.
Case Studies & Scenario Simulations Lab
- 10 real-shaped business case studies
- 10 high-stakes scenario simulations with alternate paths
- Feedback from coaches on your decisions
Apply everything from the live weeks to realistic case studies and the scenario simulations lab — the same situations you’ll face on the job — and get coach feedback that sharpens your judgement.
Product Portfolio, Scale & Lifecycle Management
- Managing multiple products & product lines
- Scaling products, infrastructure and architecture
- Internationalisation / localisation
- Lifecycle decisions: maturity, extension, sunsetting
- Financial planning and P&L for product lines
Go beyond a single feature to managing a portfolio at scale — dependencies, modularity, localisation, compliance, and lifecycle decisions from extension to sunsetting, with P&L thinking for product lines.
Ethics, Emerging Trends & Career Development
- Ethical product design: privacy, bias, accessibility, sustainability
- Regulatory & legal: IP, compliance, GDPR
- Emerging trends: AI/ML, IoT, edge, AR/VR, blockchain
- Leadership, influencing without authority, storytelling
- Career paths: PM vs TPM, Product Owner vs Product Lead
Build the judgement and professional edge that separate senior PMs — ethical and responsible product design, the regulatory landscape, emerging technology trends, and the leadership and communication skills that get you promoted.
Capstone, exams & certificate
Capstone Project · after 8 weeks
At the end of your 8 weeks of live training (Career Builder), present a team capstone to a panel — the proof that ties your learning together.
Work Experience Showcase Day · after 16 weeks
On Career Launch, after 8 further weeks of real work experience (16 weeks total), present your work at a Showcase Day to mentors and hiring partners.
Phase Exams
Exams at the end of each month, finishing with scenario objective exams at the end of the program.
Program Certificate
Earn your UstackSchool Product Management certificate on completion.
đź“– Post-program reading pack
- Decision-making under uncertainty; trade-off analysis; dealing with ambiguity
- Non-functional requirements (performance, reliability, security, maintainability)
- Technical debt: its cost and management strategy
- Accessibility and inclusive design
- Localisation / international market considerations
- Legal, regulatory and IP issues (privacy, data protection)
- Sustainability, environmental & social impact
- Industry / domain knowledge and ecosystem effects
- Ethics in AI/ML (bias, fairness, transparency)
- Soft skills: conflict resolution, negotiation, stakeholder management, influencing without authority
- Leadership & mentoring; culture & team building