IT Product Management

Intro in product management: responsibilities, trends, research, stages of building a product → Teamwork: interaction with stakeholders, development team, other departments → Structure, roles and areas of responsibility in the team → Techniques for planning and managing teams

Product development life cycle → Product discovery: how to research your product/users/understand where to "dig" → Models and tools for analyzing the market using real examples → Market trends, key trends → Formulas and tools for calculating financial indicators → Unit-economics: where a business earns and where it loses → Forecasting product development based on data

Figma for products and how to talk to designers → We create prototypes → Development and how to put TK to the development team → How to form hypotheses → Hypothesis validation or how to save on development, without doing too much in product development → Interpretation of results → Search for product growth points → Analysis of weaknesses → Preliminary assessment of the introduction of features before and after the release → Model Kano

Product metrics and what kind of pokemon "Analytics" → Business model of the product: how to choose it correctly → Tools and services for collecting data, analysis, reports → Conclusions after analysis and their interpretation into real tasks for the team → What is the difference between business analytics and product → A/B tests and statistical analysis → Preparation/conducting/analysis of A/B tests

Marketing and virality: how the product interacts with marketers, how to create products, which people recommend each other Specifics of work in B2B and internal B2B products How to make games/casino/dating Models of product monetization and their advantages How to choose the right model What methods of monetization work better/worse in different countries/markets/segments of users How to evaluate the effectiveness of monetization at each stage of product development

Retention rate or retention rate → Cases from life - how to increase adoption/retention → Proxy metrics → Audience segmentation

We do the right resume → Meeting with the "dragon" → We pass mock-interviews with product managers who hire in real life → Case protection