Digital Product Operations and Process Management

Once a digital product strategy is defined and a solution has been developed, success depends on how effectively the product is managed, developed, and scaled. This microdegree focuses on building structured product operations, processes, and data-driven management practices.

The programme covers product lifecycle management, roadmap development, agile ways of working, and the use of data in decision-making. Across three courses, participants learn how to align strategy, development, and day-to-day management into one coherent and effective system.

The success of a digital product does not depend solely on a strong idea or design, but on the ability to make consistent, informed decisions—what to build, what to improve, and what to stop. The microdegree focuses on creating a management approach that supports both product development and business goals.

Special emphasis is placed on data-driven decision-making and operational transparency—how to make product development measurable, manageable, and aligned with organisational objectives.

Digital Product Management Operations, Agile Delivery Tools and Frameworks – 32 contact hours, 132 hours of independent study – 6 ECTS

Why is this important?
Ensures that product development is structured, prioritised, and aligned with business goals.

What will you learn?
Covers the stages of the digital product lifecycle, principles of product operations management, and the application of agile ways of working (e.g. Scrum, Kanban), including backlog management and prioritisation.

Analytics and Data-Driven Decision Making – 16 contact hours, 88 hours of independent study – 4 ECTS

Why is this important?
Enables informed decision-making in product development and continuous improvement.

What will you learn?
Data Tracking and AI-Powered Analytics: Students learn to set up data streams for digital products and utilize AI tools to analyze and interpret large datasets efficiently.
Deep Analysis of User Feedback: Participants practice methods for using AI to automatically categorize qualitative user feedback and extract valuable insights for the development cycle.
Metrics and Predictive Leadership: The course covers setting strategic metrics—such as OKRs, KPIs, and North Star metrics—to drive data-backed leadership decisions in dynamic environments.
Data-Driven Validation: Students test hypotheses and evaluate development sprints based on real-time data to ensure optimal resource allocation and measurable business impact.

Capstone III: Digital Product Operations Project from Strategy to Release Delivery

– 24 contact hours, 106 hours of independent study – 5 ECTS

Why is this important?
Integrates strategy, development, and management into a practical and applicable solution.

What will you learn?
Participants complete a digital product management project, including developing a strategy-based roadmap and aligning it with key metrics and data-informed decision-making approaches.

Entry requirements:

• Bachelor’s degree or equivalent qualification.
• At least 3 years of work experience in business or entrepreneurship
• EU/EEA/Swiss citizenship or a valid temporary residence permit allowing study in Estonia.
• English at B2 level
• Completed online consultation with EBS before January 10, 2027

Upon successful completion of the microdegree, the learner

• knows the different stages of the digital product lifecycle and can justify the resource needs and business decisions related to the digital product lifecycle;
• prepares a roadmap based on the digital product strategy that meets the company's goals;
• understands the principles of agile development methodologies, can choose suitable ones and apply them if necessary;
• regularly monitors data related to the digital product, analyzes user feedback to improve the product and makes management decisions based on them.

To complete the microdegree, learners must successfully pass all courses included in the programme. Courses assessed with a grade must be passed with at least grade E (51–60%).

Assessment is course-based and aligned with the learning outcomes. Depending on the course, assessment may be either graded or based on a pass/fail system.

Assessment focuses on the practical application of digital product management concepts, including product planning, use of data in decision-making, and application of agile ways of working. Methods may include practical assignments, tests, and course-specific tasks.

The courses takes place at EBS’s modern campus in Tallinn, A. Lauteri 3. Students have access to ergonomic classrooms, the EBS library, and the cloud-based Canvas learning platform. The study process is supported by online tools such as Canvas and MS Teams. Free Wi-Fi is available throughout the building.