Course: Experiment Cookbook
Buy now
Learn more
1. Introduction
Delayed 0 days
Introduction
About this Course
What you'll learn
How to get the most out of your course
Your Logbook
Checklist - Before you start
2. Why Experiments?
Delayed 0 days
The Innovator's Trap
Exercise: Find Pivots
The Innovation Journey
Front Load your Risk
Avoiding the Innovator's Trap
Exercise: Wiring Problems
Reading List
3. Lean Innovation
Delayed 0 days
What is Lean Innovation?
How do you learn? The Build-Measure-Learn Loop
Learn by validating your assumptions
Experiments: Structured Validation
The Ingredients of an Experiment
Experiments and Build Measure Learn
Reading List
4. Selecting Experiments
Types of Experiments
Choose the Right Experiment
A4_Cookbook_Cheatsheet.pdf
5. Designing Experiments
Delayed 0 days
Designing Experiments
Qualitative vs Quantitative
Risky Assumptions
Exercise: Riskiest Assumption
Your Hypothesis
Specific, testable action
Positive Results
Prediction
Test subjects
How many test subjects do you need?
Putting the hypothesis together
Your Method
Your Logbook
Exercise: Reverse-Engineer an Experiment
Exercise: Design an Experiment
Reading List
6. Preparing Experiments
Delayed 0 days
Preparing Experiments
The Experiment Team
Finding Test Subjects
What does my Experiment Cost?
Fine tune your protocol and materials
Do a Dry-Run
7. Running Experiments
Delayed 0 days
Running Experiments
Recording Results
What to record?
How to record
8. Interpreting Experiment Results
Delayed 0 days
Interpreting Experiments
Clean your data!
Interpreting Qualitative Data
Interpreting Quantitative Data
Making Decisions
Pivot or Persevere
Closing the Loop: Running Multiple Experiments
9. Experiments for Idea Validation
Delayed 0 days
Idea Validation
Preparing for your experiment
Designing Experiments for Idea Validation
Interpreting Idea Validation Experiments
Observing and Asking Questions
Exercise: Good and Bad Questions
Recipe 1: Friends & Family
Recipe 2: 'Exit Polls'
Recipe 3: Map the Problem
Recipe 4: Online Research
Recipe 5: Fake Button (Smoke Test)
10. Experiments for Problem-Solution Fit
Delayed 0 days
What is Problem Solution Fit?
Working towards Problem Solution Fit
Riskiest Assumptions for Problem-Solution Fit
(Paper) Prototyping
How sophisticated should your prototype be?
Fake it before you make it
Recipe 6: Does it Resonate
Recipe 7: Upvote
Recipe 8: Test the Competition
Recipe 9: Customer Journey
Recipe 10: Wizard of Oz
Recipe 11: Advertisement
Recipe 12: Landing Page
11. Experiments for Product Market Fit
Delayed 0 days
What is Product Market Fit?
How do you know you have achieved Product Market Fit?
AARRR! Pirate Metrics!
Steps toward Product Market Fit
MVP
Recipe 13: Waiting List
Recipe 14: Pre-selling
Recipe 15: Crowdfunding
Recipe 16: Popup Store
Recipe 17: Concierge model
Recipe 18: Free drives Paid
Recipe 19: Viral Effect
Recipe 20: Network Effect
Recipe 21: Retention
Recipe 22: Pricing
Recipe 23: Raise the Price
Recipe 24: Beta / Soft Launch
Recipe 25: MVP Test
12. Tools
Tool: Riskiest Assumption Canvas
Tool: The Experiment Canvas
Tool: Experiment Outcome Canvas
Tool: Pirate Metrics Canvas
A4 Riskiest Assumption Canvas.pdf
A1 Riskiest Assumption Canvas.pdf
A4 Experiment Canvas.pdf
A1 Experiment Canvas.pdf
A4 Experiment Outcome Canvas.pdf
A1 Pirate Metrics Canvas.pdf
A4 Pirate Metrics Canvas.pdf
100 Interview Questions
Products
Course
Section
5. Designing Experiments
5. Designing Experiments
Course: Experiment Cookbook
Buy now
Learn more
This section is
delayed by 0 days.
1. Introduction
Introduction
About this Course
What you'll learn
How to get the most out of your course
Your Logbook
Checklist - Before you start
This section is
delayed by 0 days.
2. Why Experiments?
The Innovator's Trap
Exercise: Find Pivots
The Innovation Journey
Front Load your Risk
Avoiding the Innovator's Trap
Exercise: Wiring Problems
Reading List
This section is
delayed by 0 days.
3. Lean Innovation
What is Lean Innovation?
How do you learn? The Build-Measure-Learn Loop
Learn by validating your assumptions
Experiments: Structured Validation
The Ingredients of an Experiment
Experiments and Build Measure Learn
Reading List
4. Selecting Experiments
Types of Experiments
Choose the Right Experiment
A4_Cookbook_Cheatsheet.pdf
This section is
delayed by 0 days.
5. Designing Experiments
Designing Experiments
Qualitative vs Quantitative
Risky Assumptions
Exercise: Riskiest Assumption
Your Hypothesis
Specific, testable action
Positive Results
Prediction
Test subjects
How many test subjects do you need?
Putting the hypothesis together
Your Method
Your Logbook
Exercise: Reverse-Engineer an Experiment
Exercise: Design an Experiment
Reading List
This section is
delayed by 0 days.
6. Preparing Experiments
Preparing Experiments
The Experiment Team
Finding Test Subjects
What does my Experiment Cost?
Fine tune your protocol and materials
Do a Dry-Run
This section is
delayed by 0 days.
7. Running Experiments
Running Experiments
Recording Results
What to record?
How to record
This section is
delayed by 0 days.
8. Interpreting Experiment Results
Interpreting Experiments
Clean your data!
Interpreting Qualitative Data
Interpreting Quantitative Data
Making Decisions
Pivot or Persevere
Closing the Loop: Running Multiple Experiments
This section is
delayed by 0 days.
9. Experiments for Idea Validation
Idea Validation
Preparing for your experiment
Designing Experiments for Idea Validation
Interpreting Idea Validation Experiments
Observing and Asking Questions
Exercise: Good and Bad Questions
Recipe 1: Friends & Family
Recipe 2: 'Exit Polls'
Recipe 3: Map the Problem
Recipe 4: Online Research
Recipe 5: Fake Button (Smoke Test)
This section is
delayed by 0 days.
10. Experiments for Problem-Solution Fit
What is Problem Solution Fit?
Working towards Problem Solution Fit
Riskiest Assumptions for Problem-Solution Fit
(Paper) Prototyping
How sophisticated should your prototype be?
Fake it before you make it
Recipe 6: Does it Resonate
Recipe 7: Upvote
Recipe 8: Test the Competition
Recipe 9: Customer Journey
Recipe 10: Wizard of Oz
Recipe 11: Advertisement
Recipe 12: Landing Page
This section is
delayed by 0 days.
11. Experiments for Product Market Fit
What is Product Market Fit?
How do you know you have achieved Product Market Fit?
AARRR! Pirate Metrics!
Steps toward Product Market Fit
MVP
Recipe 13: Waiting List
Recipe 14: Pre-selling
Recipe 15: Crowdfunding
Recipe 16: Popup Store
Recipe 17: Concierge model
Recipe 18: Free drives Paid
Recipe 19: Viral Effect
Recipe 20: Network Effect
Recipe 21: Retention
Recipe 22: Pricing
Recipe 23: Raise the Price
Recipe 24: Beta / Soft Launch
Recipe 25: MVP Test
12. Tools
Tool: Riskiest Assumption Canvas
Tool: The Experiment Canvas
Tool: Experiment Outcome Canvas
Tool: Pirate Metrics Canvas
A4 Riskiest Assumption Canvas.pdf
A1 Riskiest Assumption Canvas.pdf
A4 Experiment Canvas.pdf
A1 Experiment Canvas.pdf
A4 Experiment Outcome Canvas.pdf
A1 Pirate Metrics Canvas.pdf
A4 Pirate Metrics Canvas.pdf
100 Interview Questions
Â
16 Lessons
Designing Experiments
Qualitative vs Quantitative
Risky Assumptions
Exercise: Riskiest Assumption
Your Hypothesis
Specific, testable action
Positive Results
Prediction
Test subjects
How many test subjects do you need?
Putting the hypothesis together
Your Method
Your Logbook
Exercise: Reverse-Engineer an Experiment
Exercise: Design an Experiment
Reading List