Tactical Customer Interviewing for New Product/Brand Success

Tactical Customer Interviewing for New Product/Brand Success

Section 1 - Introduction

Lecture 1: Who I am
04:21
Lecture 2: Course Overview
03:30
Section 2 - Startup Traps

Lecture 3: Can vs Should Trap
01:48
Lecture 4: Build Trap
02:07
Lecture 5: Everybody Trap
03:43
Lecture 6: Being Human Trap
04:25
Section 3 - Building a Business not a Startup

Lecture 7: Be The Maserati
01:36
Lecture 8: Defense vs Offense
04:30
Lecture 9: Lean Startup Defined
02:56
Lecture 10: Number One Priority
05:18
Section 4 - Stages of Customer Validation

Lecture 11: Four Stages Overview
01:22
Lecture 12: Problem/Market Fit
03:33
Lecture 13: Solution/Market Fit
03:58
Lecture 14: Concierge case study
05:19
Lecture 15: Product/Market Fit
02:27
Lecture 16: Now You're a Business
02:22
Section 5 - Data vs Vision

Lecture 17: Henry Ford was right
00:48
Lecture 18: The Sweet Spot
01:09
Lecture 19: Christopher Columbus Story
01:06
Lecture 20: Swiffer & Uber Case Studies
02:00
Section 6 - Exercise 1: Customer Persona

Lecture 21: What makes up a customer
07:19
Lecture 22: Businesses with multiple customer segments
02:36
Lecture 23: Exercise
05:41
Section 7 - Exercise 2: Customer Journey Mapping

Lecture 24: Exercise
04:06
Section 8 - Exercise 3: Identifying Assumptions & Creating Learning Objectives

Lecture 25: Functional & Emotional Assumptions Exercise
09:02
Section 9 - What Makes Interview Questions Great

Lecture 26: Most important things to keep in mind
05:23
Lecture 27: Question Analysis & Breakdown Exercise
08:00
Section 10 - Exercise 4: Question Creation

Lecture 28: Exercise
01:07
Section 11 - Best Method for Running Effective Interviews

Lecture 29: First Minute
02:44
Lecture 30: Other things to be aware of
04:03
Section 12 - Best Tools for Collecting & Analyzing Data

Lecture 31: Tools
03:45
Section 13 - Finding Interviewees

Lecture 32: Where do they stay?
02:58
Lecture 33: Online/Offline
00:55
Lecture 34: How do you find anyone’s email address
02:22
Lecture 35: How do you frame the ask
02:49
Lecture 36: Starting a conversation offline
02:07
Lecture 37: When is enough interviews & statistical significance
03:59
Section 14 - Once You’ve Done the Interviews AND BEYOND

Lecture 38: Using the data to inform decisions & more
04:20