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  • New - Experimentation + Testing - Experimentation + Testing

$39.94 $1,997.00 -98%
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A deep dive into creating and executing a strategic experimentation system for breakthrough ideas.


    Reforge: Go beyond A/B testing to build an experimentation system that produces wins, not random data points. Drawing on the methods used to grow companies like Slack, Instacart, SurveyMonkey, MongoDB, and more, this program focuses on building a strategic system of experimentation. You will learn how to identify strategic opportunities, create step-function ideas, and test them with high velocity and precision.

    The Growth Series distills hard-earned insights, frameworks, and systems from tech’s top leaders and delivers decades of career experience in just 6 weeks. From acquisition and retention to user psychology and habit formation, this program draws on real examples from category-defining companies to teach you how to solve difficult growth problems and drive results for your company.

    Meet the Program Creator

    Elena Verna: Growth Advisor, Interim Growth Exec; Advisor at Amplitude, Veed, Clockwise, Similarweb

    Course Breakdown:

    Who is this for?

    Product managers, marketers, designers, engineers, data analysts, and other growth team members who want to build high-velocity experimentation systems

    Course Goal

    Create a strategic experimentation system for breakthrough ideas and run high-quality experiments

    Topics Covered

    Experimentation Strategy

    Great experimentation starts with identifying a strategic opportunity. You will define and scope an opportunity by piecing together user insights, data insights, and business insights.

    Solution Ideation

    Once we have a strategic opportunity, we need to generate ideas targeted at that opportunity. You will learn the spectrum of solution ideation from optimizations to innovations and then evaluate and prioritize the ideas.

    The Science of Testing and Preparing Tests 

    Experimentation is based on a foundation of statistics. You will learn the applicable statistics you need to know to scope, prioritize, and analyze tests properly for both a/b and Bayesian tests. You will then learn how to create a test by crafting a hypothesis, simplifying build complexity, assigning users, and deploying a simultaneous vs sequential test.

    Analyzing Test Results 

    Good tests are nothing without proper analysis. You will learn how to monitor test data, methods to call a test, analyze the test outcome, and then build a plan to iterate on wins and losses.

    Acting on Test Results and Productizing Wins 

    Acting on results is an art form that requires collaboration. Learn to use test outcomes to inform iterations, measure value, and document initiatives in a way that will drive confidence and buy-in from stakeholders.

    Managing an Experimentation System

    Learn how to build a program from the ground up including measuring an experimentation system, setting goals, creating experimentation roadmaps, measuring individual performance, developing experimentation tools, and evangelizing the program.

    What you get:

    • 01. Introduction
    • 02. Feature Opportunity Validation
    • 03. Feature Design
    • 04. Feature Development
    • 05. Feature Launch & Iteration
    • 06. BONUS PM Carcer Progression
    • 07. BONUS Feature Prioritization
    • 08. Templates

    You can get all the courses here

    Sales Page: - Product Management Foundations Course Content

    Product Details


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