Diploma in UX Instrumentation and Product Metrics
Sobre nuestro Diploma in UX Instrumentation and Product Metrics
The Diploma in UX Instrumentation and Product Metrics delves into the application of quantitative and qualitative methods for measuring and analyzing user experience (UX) and the performance of digital products. It explores the implementation of web analytics tools, A/B testing, and surveys for data-driven decision-making, optimizing usability, accessibility, and conversion. It focuses on data interpretation to understand user behavior and improve product design and development. The program teaches how to create key performance indicator (KPI) dashboards, track conversion funnels, and use user testing to evaluate the impact of product changes. This course aims to develop skills in UX research, data analysis, and communicating insights, preparing participants for roles such as UX analysts, product managers, and data-driven design specialists, increasing their value in the digital industry. Target keywords (natural in the text): user experience, product metrics, web analytics, A/B testing, usability, conversion, UX research, data analysis, KPIs, product management, data-driven design.
Diploma in UX Instrumentation and Product Metrics
- Modalidad: Online
- Duración: 8 meses
- Horas: 900 H
- Idioma: ES / EN
- Créditos: 60 ECTS
- Fecha de matrÃcula: 30-04-2026
- Fecha de inicio: 10-06-2026
- Plazas disponibles: 3
1.750 $
Competencias y resultados
Qué aprenderás
1. Expert UX Domain: Product Instrumentation and Measurement for Success [The following appears to be unrelated and possibly machine-translated gibberish: "]
- Delve deeper into user research and the definition of their needs, pain points, and motivations.
- Master qualitative and quantitative research techniques to obtain valuable information.
- Build a solid UX foundation, including user flow design, prototyping, and usability testing.
- Learn to analyze digital product data and draw meaningful conclusions.
- Use measurement and analysis tools to evaluate product performance.
- Identify data-driven opportunities for improvement and optimization.
- Implement strategies to improve user satisfaction and retention.
- Learn to define key metrics for product success.
- Interpret data and translate it into informed design decisions.
- Optimize product performance based on the collected data.
2. Deciphering Digital Success: UX, Instrumentation, and Product Metrics [The following appears to be unrelated and possibly machine-translated gibberish:] ...
2. Deciphering Digital Success: UX, Product Instrumentation, and Metrics
- Master the fundamentals of User Experience (UX): understand user research, information architecture, interaction design, and usability evaluation.
- Learn to apply user-centered design principles to create intuitive and engaging interfaces, optimizing conversion and customer satisfaction.
- Delve into Product Instrumentation: select and configure tracking tools (such as Google Analytics, Mixpanel, etc.) to collect relevant data.
- Implement qualitative and quantitative data analysis methods to identify user behavior patterns and opportunities for improvement.
- Interpret key product metrics (such as conversion rate, retention, churn, etc.) to evaluate the performance of product features and strategies.
- Use data to make informed decisions and prioritize
- Design and execute A/B and multivariate tests to validate hypotheses and continuously improve the product.
- Understand and apply agile frameworks (such as Scrum or Kanban) for efficient product development management.
- Learn to effectively communicate findings and recommendations to multidisciplinary teams, including designers, developers, and stakeholders.
- Develop strategic thinking skills to align the product with business objectives and market needs.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. UX Strategies and Product Metrics: A Journey Towards Excellence
4. UX Strategies and Product Metrics: A Journey Towards Excellence
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Understand the fundamentals of user experience (UX) and its impact on product success.
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Identify and analyze different types of users and their needs.
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Learn to use UX research tools such as surveys, interviews, and usability testing.
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Develop skills in interaction design (IxD) and user interface (UI) design.
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Create low- and high-fidelity prototypes to test and validate ideas.
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Apply user-centered design principles to improve usability and customer satisfaction.
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Establish relevant key performance indicators (KPIs) and product metrics.
Use data analytics tools to measure and evaluate product performance.
Interpret data and extract insights to make evidence-based decisions.
Optimize product design and functionality based on data and user feedback.
Implement growth hacking strategies to increase user acquisition, activation, and retention.
Collaborate effectively with multidisciplinary teams, including designers, developers, and stakeholders.
Learn to iterate on the product, conduct A/B testing, and continuously optimize the user experience.
Understand the product lifecycle and the different stages of development.
Analyze case studies of successful and failed products to identify patterns and lessons learned.
5. Mastering UX: Tools and Metrics for Profitable Products [The following appears to be unrelated and possibly machine-translated gibberish: "]"
Here is the requested content:
5. Mastering UX: Instrumentation and Metrics for Profitable Products
- Identify and apply key User Experience (UX) principles in the design of digital products.
- Evaluate the usability of interfaces through testing and data analysis.
- Use metrics analysis tools (Google Analytics, etc.) to measure product performance.
- Interpret user behavior data (clicks, time spent on site, conversion rates) to identify opportunities for improvement.
- Implement user research methodologies (interviews, surveys, A/B testing) to validate ideas and optimize design.
- Design and prototype intuitive and engaging interfaces, focused on user needs.
- Apply interaction design techniques to improve the user experience.
- Create reports and data-driven presentations to communicate results and recommendations.
Integrate UX into the agile product development process.
Use UX to increase product profitability and success.
6. The Art of UX: Product Instrumentation and Metrics for User-Centered Design [The following appears to be unrelated and possibly machine-translated:] ...
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
Para quien va dirigido nuestro:
Diploma in UX Instrumentation and Product Metrics
- Professionals with experience in the design, development, and evaluation of User Experience (UX) in digital products.
- Data analysts and digital marketing professionals interested in measuring and optimizing user interaction with products.
- Product Managers and Product Owners looking to improve decision-making based on UX data and metrics.
- UX/UI designers who want to delve deeper into data analysis and evaluating the effectiveness of their designs.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Introduction to User Experience (UX) and its Importance
1.2 Key UX Principles: User-Centered Design
1.3 Introduction to Product Instrumentation: What is it and why is it crucial?
1.4 Essential Product Metrics: Key KPIs
1.5 The Product Lifecycle and its Relationship to UX
1.6 User Research: Fundamental Methods and Techniques
1.7 Competitive Analysis: Identifying Opportunities
1.8 Tools and Platforms for UX and Product Analysis
1.9 The Role of UX in Product Strategy
1.10 Case Study: Examples of Success and Failure in UX
1.5 The Product Lifecycle and its Relationship to UX
1.6 User Research: Fundamental Methods and Techniques
1.7 Competitive Analysis: Identifying Opportunities
1.8 Tools and Platforms for UX and Product Analysis
1.9 The Role of UX in Product Strategy
1.10 Case Study: Examples of Success and Failure in UX
2.2 Introduction to UX: Fundamentals and Principles
2.2 User Research: Methods and Techniques
2.3 Interaction Design: Flows and Prototypes
2.4 Information Architecture: Structure and Navigation
2.5 UX Implementation: Tools and Platforms
2.6 Defining Product Metrics: Key KPIs
2.7 Data Analysis: Interpretation and Visualization
2.8 Usability Testing: Methodology and Evaluation
2.9 Iteration and Continuous Improvement: The UX Design Process
2.20 Case Study: Applying UX and Metrics
2.3
3.3 Fundamental Principles of UX: User-Centered Design
3.2 Key Product Metrics: Definition and Selection
3.3 UX Instrumentation: Tools and Techniques
3.4 UX Data Analysis: Interpretation and Conclusions
3.5 Designing Optimized Experiences: Iteration and Testing
3.6 Data-Driven Growth: Strategies and Tactics
3.7 Retention and Loyalty: Indicators and Methods
3.8 Competitive Analysis and Benchmarking
3.9 UX for Decision-Making: Prioritization and Planning
3.30 UX Success Stories: Examples and Lessons Learned
4.4 User-Centered UX Design: Fundamentals and Key Principles
4.2 UX Research: Methods and Techniques for Understanding the User
4.3 Designing Information Architecture and User Flows
4.4 Prototyping and Usability Testing: Iteration and Validation
4.5 Introduction to Instrumentation: Tools and Platforms
4.6 Defining Relevant Product KPIs and Metrics
4.7 UX Data Analysis: Interpretation and Visualization
4.8 Data-Driven UX Optimization: Strategies and Tactics
4.9 A/B Testing and Experimentation: Continuous Improvement
4.40 UX Ethics and Privacy: Design Considerations
5.5 UX Fundamentals: Key Principles and Their Impact on Profitability
5.5 Product Instrumentation: Selecting Crucial Metrics
5.3 UX Data Analysis: Identifying Improvement Opportunities
5.4 User-Centered Design: Optimizing the Experience for Conversion
5.5 ​​A/B Testing and Experimentation: Maximizing Return on Investment
5.6 Conversion Rate Optimization (CRO): Strategies and Tactics
5.7 UX and Customer Retention: Building Lasting Relationships
5.8 Continuous Monitoring: Data-Driven Iteration and Analysis
5.9 Success Metrics: Key KPIs for Profitable Products
5.50 Case Study: Practical Application of UX for Profitability
6.6 UX Fundamentals: Key Principles and User-Centered Design Philosophy
6.2 UX Research: Methods and Tools for Understanding Your Users
6.3 Interaction Design: Creating Effective Flows and Wireframes
6.4 Visual Design: Interface Elements and Brand Design
6.5 UX Instrumentation: Selecting and Implementing Analysis Tools
6.6 Product Metrics: Key KPIs for Successful UX Design
6.7 Data Analysis: Interpretation and Visualization for Decision Making
6.8 User Testing: Methodologies and Usability Evaluation
6.9 Iteration and Continuous Improvement: Feedback and Optimization Cycles
6.60 Case Studies: Analyzing Successful Products and Their UX Metrics
6.7
7.7 Defining UX and its impact on product profitability
7.2 Designing UX instrumentation: Tools and strategies
7.3 Key metrics for profitable products: Essential KPIs
7.4 Analyzing UX data: Identifying opportunities for improvement
7.7 Optimizing the user experience to increase conversions
7.6 Personalization strategies based on UX data
7.7 Implementing A/B testing for continuous optimization
7.8 The role of user research in profitability
7.9 Product iteration and adaptation based on UX metrics
7.70 Case studies: Profitable products driven by UX
7.8
8.8 Introduction to UX: Fundamentals and Key Principles
8.8 UX Research: Methods and Tools for User Discovery
8.3 UX Design: Creating Wireframes, Prototypes, and User Flows
8.4 Product Instrumentation: Defining KPIs and Success Metrics
8.5 UX Data Analysis: Interpreting Metrics and Generating Insights
8.6 User Testing: Methodologies and Tools for Validation
8.7 Iteration and Optimization: Applying Learnings and Continuous Improvement
8.8 UX Tools: Selecting and Effectively Using Platforms and Software
8.8 Case Studies: Analyzing Successful and Unsuccessful Experiences
8.80 Growth Strategies: UX and its Impact on ROI
8.9
9.9 Introduction to UX Instrumentation
9.9 What are UX Metrics?
9.3 Importance of UX Instrumentation
9.4 Objectives of Data Collection
9.5 Tools and Platforms for Instrumentation
9.9 The UX Design and Data Process
9.9 Qualitative Data Collection Methods
9.3 Quantitative Data Collection Methods
9.4 Data Analysis: Tools and Techniques
9.5 Reporting and Presenting Findings
3.9 Key KPIs for UX Product Growth
3.9 Acquisition, Activation, Retention, Revenue, and Referral (AARRR) Metrics
3.3 UX for Conversion Rate Optimization (CRO)
3.4 Impact of UX on User Retention
3.5 Growth Strategies Based on UX Metrics
4.9 Defining Business and UX Objectives
4.9 Designing UX Experiments (A/B Testing, Multivariate)
4.3 User Segmentation for Data Analysis
4.4 Prioritizing Data-Driven Improvements
4.5 Continuous Iteration and Optimization
5.9 UX and Profitability: The Direct Connection
5.9 Profitability Metrics: ROI, CAC, LTV
5.3 UX for Cost Reduction
5.4 UX and Increased Revenue
5.5 Business Models and UX
6.9 User-Centered Design and Metrics
6.9 User Research: Methods and Techniques
6.3 Empathy Maps and UX
6.4 Usability Testing: Types and Design
6.5 Designing Intuitive and Efficient Interfaces
7.9 Data-Driven Decision Making in UX
7.9 Data Analysis for Feature Prioritization
7.3 Product Decisions and Metrics
7.4 The Role of Metrics in Communication with Stakeholders
7.5 Competitive Analysis and UX
8.9 Key Indicators for Sustainable Success
8.9 Customer Journey Analysis
8.3 UX for Customer Loyalty
8.4 Long-Term Value (LTV) Assessment
8.5 Continuous Improvement Strategies
9.9 Implementation of Instrumentation: Planning
9.9 Selection of Instrumentation Tools
9.3 Implementation of Instrumentation on Different Platforms
9.4 Integration of UX Data
9.5 Optimization of UX Instrumentation and Metrics
1. Introduction to UX Instrumentation and Product Metrics: Fundamentals and Project Scope
2. Defining Objectives and Key Performance Indicators (KPIs) for the Project: Alignment with the Business Strategy
3. User Research and Context Analysis: Identifying Needs and Challenges
4. Data-Driven UX Design: Prototyping, Testing, and Iteration
5. Implementing Instrumentation: Tools and Methods for Data Collection
6. Data Analysis and Insight Generation: Interpreting Results and Trends
7. Data-Driven Decision Making: Prioritizing Improvements and Optimization
8. Presenting Results and Communicating: Project Impact and Next Steps
9. Continuous Iteration and Improvement: Strategies for Sustainable Success
10. Integrating UX Data into the Product Strategy: Scalability and Growth
10.
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Proyectos tipo capstones
Admisiones, tasas y becas
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
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