Data-driven Decision Making for Product Managers

2 Weeks


Cohort-based Course

Acquire data literacy, an essential skill for modern product managers.

Course overview

Acquire and Apply Data Literacy in Product Management

In this highly interactive course, you will learn to read and analyze data to make data-informed product decisions with every iteration.

Who is this course for


Aspiring Product Managers

You want to move into product management and need to understand core concepts related to data.


New Product Managers

You are new to product management and seek to learn to analyze and leverage data.


Experienced Product Managers

You are working in PM and need to make and communicate data-driven decisions to executives and engineers.

Key outcomes

Understand Core Concepts Related To Data

Gain the knowledge, skills, and tools to acquire and apply data literacy in product management.

Learn To Analyze and Leverage Data

Discover effective ways to read, interpret, work with, analyze and communicate with data.

Make Data-Driven Decisions

Make data-informed product decisions with every iteration.

Communicate Data-Driven Decisions

Demonstrate to Executive Management and Engineering the value of data in product management.

Generate a

price related aggregate of information and conditions that the customer is presented with

Meet your instructor

Gabriel Steinhardt

Gabriel Steinhardt

Founder, Author, Public Speaker. Developer of the Blackblot Product Manager's Toolkit® (PMTK) Methodology

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Course syllabus



  • Data Ages
  • Agile and Data
  • Data Literacy


Not in This Course

  • Data Science Roles
  • Adjacent Domains


Data Science

  • Big Data
  • Data Mining
  • Data Science


Data-driven Decision Making

  • Quantitative Data
  • Qualitative Data
  • Data Analysis Types
  • Data-driven Decision Making (DDDM)


Purely Data-driven

  • Purely Data-driven
  • Data-driven Ethics
  • Data Reliance


Data-driven vs. Intuition-driven

  • Intuition-driven Decision Making
  • Data-driven vs. Intuition-driven


Privacy and Legal

  • Privacy Concerns
  • Privacy Business
  • Antitrust and Regulators
  • Law and Order


Data – Information – Knowledge

  • Elements of DDDM
  • ▫️ Data
  • ▫️ Information
  • Knowledge
  • Decisions


Fundamental Statistics

  • Fundamental Statistics
  • Correlation/Causation
  • Linear Regression


Looking for Patterns

  • Patternicity and Apophenia
  • False-positive Error
  • False-negative Error


DDDM Process

  • DDDM Process
  •    ▫ Query Formulation
  •    ▫ Crafting Questions
  • Metrics Selection
  • ▫ Adoption Metrics
  • ▫ Engagement Metrics
  • ▫ North Star Metric
  • ▫ AARRR Framework
  • ▫ Metadata
  • Online Tracking
  •  ▫ Data Inventory
  •  ▫ Data Collection
  •  ▫ Data Preparation
  •  ▫ Data Analysis
  • PM and Data Analysts
  •  ▫ Data Visualization Software
  • Data Dashboards


Master Exercise

  • Master Exercise
  • Analytics Software Demo


Data-driven Culture

  • Quantification
  • Simplification
  • Specialization



  • Key Lessons
  • DDDM Recap

Course schedule

4-6 hours per week
  • Monday/Tuesday/Thursday

    8:00am - 10:00am Eastern Standard Time

    • Three weeks, 2-3 sessions per week, each session is 2 hours.
    • Five sessions with a total of 10 hours over two weeks.
    • Attendance is required.
  • Office Hours

    • The instructor will host office hours outside of the lessons throughout the course to provide additional time to answer student questions.
    • Attendance is voluntary.

Included in the course (free of charge!)

Included in the course (free of charge!)

Blackblot Product Management Professional™ (BPMP) certification

Frequently Asked Questions

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