Магистратура
2024/2025
Научно-исследовательский семинар "Продуктовый подход в аналитике данных"
Статус:
Курс обязательный (Магистр по наукам о данных)
Когда читается:
1-й курс, 2-4 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Бекларян Армен Левонович
Язык:
английский
Course Syllabus
Abstract
The course offers students an in-depth study of the methods and tools required to develop analytical products focused on business needs. Students will learn to apply a product approach to data analysis, including hypothesis formulation, prototyping and solution testing. The workshop includes practical assignments and case-studies to develop skills to work in interdisciplinary teams and make informed decisions based on data.
Learning Objectives
- Understand the fundamentals of product thinking in data analysis
- Design data products that meet user needs and provide exceptional user experiences.
- Align technical projects with business objectives to maximize impact.
- Manage the end-to-end lifecycle of data products, from ideation to deployment and iteration.
- Address ethical issues related to data privacy, bias, and responsible use
Expected Learning Outcomes
- Understand the role and responsibilities of a product manager in the IT industry.
- Describe the key stages of the IT product lifecycle.
- Differentiate between product management and project management.
- Explain the importance of data-driven decision-making in product management
- Apply SWOT analysis to identify strengths, weaknesses, opportunities, and threats of a product.
- Conduct PESTEL analysis to evaluate external environmental factors affecting the product.
- Utilize Porter's Five Forces model to assess industry competition and attractiveness.
- Develop a Business Model Canvas for an IT product, outlining key components such as value propositions, customer segments, and revenue streams.
- Conduct user research using qualitative and quantitative methods (e.g., interviews, surveys,observations)
- Create user personas based on research data
- Map customer journeys to identify user needs and pain points.
- Apply design thinking principles to ideate and prototype product solutions
- Develop low-fidelity and high-fidelity prototypes
- Conduct usability testing and gather user feedback.
- Understand the principles and values of Agile development.
- Implement the Scrum framework, including defining roles, artifacts, and ceremonies.
- Create and manage a product backlog with user stories and acceptance criteria.
- Prioritize product features using techniques such as MoSCoW or the Kano Model.
- Utilize Kanban boards to visualize workflow and manage work in progress (WIP)
- Conduct sprint planning, daily stand-ups, sprint reviews, and retrospectives.
- Define key performance indicators (KPIs) and metrics relevant to IT products.
- Set up and configure analytics tools (e.g., Google Analytics, Mixpanel) to track user behavior.
- Interpret data to identify trends and inform product decisions
- Design and conduct A/B tests to compare product variations.
- Analyze experimental results for statistical significance
- Create data dashboards to monitor product performance over time.
- Develop a Go-to-Market strategy, including positioning, messaging, and marketing tactics.
- Plan and execute product launch activities
- Identify and leverage appropriate marketing channels (e.g., social media, content marketing,SEO)
- Apply growth hacking techniques to drive user acquisition and engagement.
- Plan for scalability, including infrastructure and operational considerations
- Monitor post-launch performance and make adjustments as needed.
- Manage products through different lifecycle stages (introduction, growth, maturity, decline).
- Identify strategies for extending product life or planning for end-of-life
- Understand and apply data privacy laws and regulations (e.g., GDPR, CCPA).
- Recognize ethical considerations in product development, including bias in AI, user data protection, and responsible design.
- Develop guidelines for ethical decision-making in product management.
- Integrate machine learning and artificial intelligence capabilities into products.
- Design scalable and reliable IT product architectures (e.g., microservices, cloud-based solutions).
- Develop and utilize APIs for product integration and extensibility.
- Evaluate emerging technologies (e.g., blockchain, IoT, AR/VR) for potential application in product innovation.
- Plan technical roadmaps to incorporate new technologies.
- Grasp the role of product thinking in data projects and distinguish between project and product mindsets.
- Conduct user research, develop user personas, and map user journeys.
- Apply design thinking principles to create prototypes and iteratively improve them based on user feedback.
- Align data projects with key business metrics and communicate technical insights effectively to stakeholders.
- Implement agile methodologies (Scrum and Kanban) in data product development.
- Integrate machine learning models into data products and design scalable data pipelines.
- Develop go-to-market strategies and manage the product lifecycle effectively
- Address ethical and compliance considerations in data product development, including data privacy and mitigating bias.
Course Contents
- Foundations of Product. Management in IT
- Strategic Analysis and Product Planning
- User-Centric Approach and Product Design
- Agile Methodologies and Development Management
- Data and Analytics in Product Management
- Product Launch and Growth Strategies
- Product Lifecycle Management and Ethical Aspects
- Technical Integration and Innovations in IT Products
Interim Assessment
- 2024/2025 2nd module0.6 * Assignments + 0.4 * Final Project
- 2024/2025 4th module0.3 * Rating of 2 modules + 0.3 * Assignments + 0.4 * Final project
Bibliography
Recommended Core Bibliography
- Cagan, Marty. Inspired: How to Create Tech Products Customers Love. –Wiley, 2018. – ЭБС Books 24x7.
Recommended Additional Bibliography
- 9781491953570 - Gothelf, Jeff; Seiden, Josh - Lean UX : Designing Great Products with Agile Teams - 2016 - O'Reilly Media - http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1352023 - nlebk - 1352023