and evaluation models for better development of data in qualitative assessments and how to integrate with quantitative data sets for customer and product discovery.
and simulation models that leverage both small and big data techniques to develop scenarios for product and program planning.
for evaluating user experience, customer experiences, marketing channel selection, and team operational health and analytics.
Module 1: User Data
Goals, KPIs and metrics, product management metrics, and improving the product.
Module 2: Qualitative Data
Comment surveys, customer feedback, interviews, and forensics.
Module 3: Quantitative Data
Developing a product hypothesis and user personas, demographics, behaviors, online reviews, and Net Promoter Scores (NPS).
Module 4: Sampling and Surveys
User research, asking questions, and statistics of surveys.
Module 5: Experiments and Hypothesis Testing
Lean analytics cycle, Bayes Factors, A/B testing, multifactor testing, classical significance tests and effect size, linear models and regression, and logistic regression.
Module 6: Product Data
Types of product data, user flows, meta data, bounce rates, abandonment and adoption rates, and innovation accounting.
Module 7: Market Research
Competitor analysis, brand positioning analysis, consumer insights, and User segmentation.
Module 8: Document Engineering
Information and systems analysis, business process analysis, business informatics, and database theory and management.
Module 9: Team and Operational Analytics
Flow metrics, team happiness, team velocity, burndown, cycle time, ROI, defect rates, resource capacity utilization, and queuing theory.
Module 10: Big Data Analytics
Machine learning, natural language processing, nearest neighbor analysis, and proforecasting.
Gregory B. Baecher
Center for Risk and Reliability
Civil and Environmental Engineering
University of Maryland
Gregory B. Baecher is Glenn L Martin Institute Professor of Engineering at the University of Maryland. He holds a BSCE from UC Berkeley and a PhD in civil engineering from MIT. He is the author of four books on risk, safety, and the protection of civil infrastructure, and 200+ technical publications. He is recipient of the USACE Commander's Award for Public Service, the Panamanian National Award for Science and Technology Innovation, and is a member of the US National Academy of Engineering. Dr. Baecher consults to government and industry on project risk management related to civil infrastructure.
Term I
Becoming a Product Manager
Term II
Customer and Product Discovery
Term III
Product Delivery
Term IV
Gaining Traction & Influence
Term V
Managing Products at Scale
