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    Product Management: A Concise Guide To Product Analytics

    Posted By: ELK1nG
    Product Management: A Concise Guide To Product Analytics

    Product Management: A Concise Guide To Product Analytics
    Published 10/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 443.15 MB | Duration: 1h 53m

    Learn how to turn product data into actionable insights.

    What you'll learn
    Find your product's key value moment & guide users to it
    Identify what data is relevant to your product
    Discover what levers can be controlled and should be measured
    Uncover insights using behavioral cohorts
    Find good A/B test candidates & build an A/B test plan
    Define active & power users for your product
    Measure and influence user retention & growth
    Requirements
    A basic knowledge of traditional web analytics
    Access to Google Docs
    Description
    Welcome to Product Management: A Concise Guide to Product Analytics.Do you want to unlock your full potential as a product manager and drive impact for the metrics that matter most for your product?Don’t get lost in the data. Get focused on what matters.I created this course and packed it with practical, real-world experiences that I’ve gained working with Product Management teams around the world. All theory is paired with practical exercises we’ll complete together in your workbook.What you’ll get from this course.1. I’ll show you how to focus on the metrics that matter so you can find and guide users to your product’s Key Value Moments.2. You’ll gain an in-depth understanding of key product performance metrics such as active usage, power/core/casual use, retention & growth.3. We’ll then look at customer segmentation approaches that are truly actionable and examine how to perform behavioral cohorting.4. And then we’ll explore how to define ideal use for your product and use this insight to identify and nurture your power users.5. In the final section, we’ll do a deep dive into A/B testing, examine ways to uncover good A/B test candidates, and then create an A/B test plan together.What you won’t get from this courseThe course is not a how-to guide for learning specific analytical tools such as Google Analytics or Mixpanel. There are many resources that teach that. Rather, it focuses on analytical frameworks and approaches that are tool-agnostic.Why learn Modern Product Management?The demand for the “data-savvy” Product Manager is growing rapidly. In fact, LinkedIn ranks "Product Manager" as one of the most promising jobs, with 29% year-over-year growth. More and more companies are finally figuring out how important this discipline and this role are to their success.But Product Management practices are also widely misunderstood, with most product initiatives failing to launch. And of those that do launch, only a fraction delivers value to the intended customers.In a field where so many teams follow counter-productive practices, copying others won't work.Don't Imitate. Understand.This course will teach you the underlying values and principles of product analytics. And the practical portion will showcase how successful teams build products using approaches that minimize risk and maximize customer delight.If you're a Product Manager looking to level up your product analytics skills or are trying to transition into a new career, this course will help prepare you for success.And if you work in a related role (Business Analyst, Project Manager, Developer, etc), you’re also in the right place.What if I have questions? I offer full support, answering any questions you have 7 days a week (whereas many instructors answer just once per week, or not at all). This means you’ll never find yourself stuck on one lesson for days. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks. So Let’s Do This! Enroll now and sharpen your product analytical skills.See you on the inside!

    Overview

    Section 1: Introduction

    Lecture 1 Welcome & Course Overview

    Lecture 2 What Is Product Analytics?

    Lecture 3 Get Your Course Workbook

    Lecture 4 Adjusting course speed

    Lecture 5 Exercise #1: Pick Your Product

    Lecture 6 Join the Community

    Lecture 7 Product Analytics Building Blocks

    Section 2: What Should I Build?

    Lecture 8 Section introduction

    Lecture 9 How Does Your Product Deliver Value?

    Lecture 10 What Is A Value Moment?

    Lecture 11 Exercise #2: Lets Try To Find Value Moments

    Lecture 12 Good Value Moments

    Lecture 13 Exercise #3: Four Value Moment Questions

    Lecture 14 Finding Your Products Value Moment - Part 2

    Lecture 15 Guiding Users To Their Value Moment

    Lecture 16 Exercise #4: Finding & Removing Friction

    Section 3: How Is It Performing?

    Lecture 17 Section Introduction

    Lecture 18 Defining "Active" Usage

    Lecture 19 Exercise #5: Lets Define "Active" For Our Product

    Lecture 20 What Is Your "Ideal" Product Usage?

    Lecture 21 Calculating Your Ideal Product Usage

    Lecture 22 Where Are Your Users Dropping Off?

    Lecture 23 Measuring Drop Off

    Lecture 24 Why you should measure retention

    Lecture 25 How should you measure growth?

    Section 4: Who Should I Build For?

    Lecture 26 Section Introduction

    Lecture 27 Approaches to Segmentation

    Lecture 28 Exercise #6: Lets Define Our Behavioral Cohorts

    Lecture 29 Analyzing Behavioral Cohorts

    Lecture 30 Exercise #7: Lets Analyze Our Behavioral Cohort

    Lecture 31 Who Are Your Power Users

    Lecture 32 Exercise #8: What Does Your Power User Curve Look Like?

    Lecture 33 Data Informed Personas

    Section 5: How Should I Build It?

    Lecture 34 Section introduction

    Lecture 35 Why Data Is The New UX

    Lecture 36 Data Driven vs Data Informed Design

    Lecture 37 Guidelines For Effective Testing

    Lecture 38 Finding Good AB Test Candidates

    Lecture 39 Exercise #9: Create An AB Test Plan

    Lecture 40 Bonus Lecture

    Product Managers looking to level up their data analysis skills,Entrepreneurs and small business owners,Business Analysts,Product Marketing Managers,Data Analysts,Engineers and Developers,Operations Managers,Designers