Zero to One System for Product People

2 Weeks

Cohort-based Course

Harness the power of discipline and learn a systematic approach to developing successful new products with Big Tech's proven toolkit.

Zero to One System for Product People

2 Weeks

Cohort-based Course

Harness the power of discipline and learn a systematic approach to developing successful new products with Big Tech's proven toolkit.

Hosted by

Ingrid Flores

Product Coach with 20+ years experience, Ex-Meta, Ex-Airbnb, Ex-LinkedIn.

Ingrid Flores

Product Coach with 20+ years experience, Ex-Meta, Ex-Airbnb, Ex-LinkedIn.

Course overview

Develop new products with increased clarity and lower risk

Course overview

According to Harvard Business School, 95% of new products fail. After a decade in Big Tech, I learned how to increase the success chances of new products with a single principle: Discipline. In this course, you’ll learn the tools that I used to launch more than two dozen products. These tools, when used with discipline, can help you systematically increase clarity, reduce risk and increase your product’s chances to succeed.

Content will cover:

-Product development approach and how it gets adjusted for early stage products;

-Detailed toolkit for each development phase;

-Deep dive on each phase to explore how the tools fit together;

-Best practices to apply each tool;

-Practical exercises and/or case studies;

-Guidelines to use the entire toolkit as a system;

-AI implications for each tool and for the system.

What you’ll get:

-Hands-on experience using a disciplined approach for new product development;

-A detailed toolkit with how-to guides;

-Case studies and examples of how the tools have been used in Big Tech;

-Practical exercises to sharpen your skills;

-Best practices on how to use the toolkit as a system;

Who is this course for

Product Managers who have not yet worked on early stage products

Designers, Engineers, Technical Product Managers or Data Scientists who want to play a more strategic role in their teams

First time founders who want to learn Big Tech Product practices

Product Managers who have not yet worked on early stage products

Designers, Engineers, Technical Product Managers or Data Scientists who want to play a more strategic role in their teams

First time founders who want to learn Big Tech Product practices

What you’ll get out of this course

Understand how early stage product development works

You'll learn specific steps to take and tools to use when you're beginning to build a new product. We'll deep dive on each development phase with case studies from Meta and Airbnb.

Ability to navigate early stage product development with confidence

You'll develop the skills to zoom in for details, zoom out for perspective and the ability to know when to use which so you can move forward. We'll practice with real examples in my career of when things worked and didn't work.

Ability to increase clarity for your team and stakeholders

You'll learn how to clearly articulate the rationale for your product and decision making frameworks to help you align everyone. We'll go through examples of how I used the information to align my teams.

Develop a disciplined product development mindset in your team

You'll learn inclusive techniques and tools to keep your team focused on what matters. I'll share with you the best practices I learned and used to create a sense of ownership in my teams.

Ability to reduce risk of over investing in poor ideas

You'll learn how to evaluate, prioritize ideas and what to do when it isn't clear. I'll walk you through costly mistakes made at the companies I worked for and how they could have been avoided.

Understand the role of AI in the process

Although this is a rapidly changing space, there are already implications of AI in product development, both in terms of the tools you can use for the process and in the development of the product itself. We'll cover aspects of both.

This course includes

Interactive live sessions

Lifetime access to course materials

23 in-depth lessons

Direct access to instructor

4 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

Feb 14—Feb 18

01 Foundations

7 items • Free preview

02 User Context

7 items • Free preview

Week 2

Feb 19—Feb 24

03 Exploring potential solutions

5 items • Free preview

04 Building

4 items • Free preview

Bonus

Fundamental concepts in Product Management

1 item

Introduction to Artificial Intelligence Concepts

1 item

Case Study: Data for Good at Meta

1 item

Tool guides

1 item

Meet your instructor

Ingrid Flores

I’m Ingrid Flores, am a Product Coach and I love to help product people reach their potential.

Prior to becoming a coach, I worked at Meta, LinkedIn and Airbnb.

I started my career as a management consultant where I learned to develop successful business strategies and to optimize operations in diverse industries. These experiences helped me eventually join LinkedIn and later Facebook.

At Facebook, I led the Connectivity Strategy team for several years, where I advised multiple product teams with early stage products. In this role, I also helped product leadership evaluate and increase chances of success for the products Facebook was developing to connect the next billion people. After all was said and done, we managed to connect over half a billion people through these efforts.

After advising Airbnb’s C-level team and product leadership in company wide strategic issues, I returned to Meta to lead Data for Good.

As Product Lead at Meta for several years, I led the development of over two dozen new data products (both B2B and B2C) and a platform using the methods I teach in this course.

Data for Good products were used by a global network of nonprofits and have helped ~ a quarter billion people worldwide so far. In addition, several of the Data for Good products won scientific awards and were recognized by the UN as gold standard in privacy preserving humanitarian data.

This last year, I’ve been enhancing my AI knowledge at MIT and improving my skills as a coach so I can help product people thrive in the coming development wave.

Why I made this course

According to Harvard Business School, each year, about 30,000 new products are launched and 95% of them fail. AI tools are democratizing product development, so soon the number will be orders of magnitude larger than 30,0000 new products per year. This means a lot more products will fail, which means crushed dreams and hopes of a lot more people. But it doesn’t have to be this way!

There is certainly no way or system to guarantee a product will succeed, but there are well tested tools that are taught and used in companies that have had enough resources to launch many products and learn what helps increase the odds. My hope is that this course will help people like you without needing to spend years in Big Tech to learn this.

Be the first to know about upcoming cohorts