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WSP 120 — Five Steps to Build a Most Lovable Product

Quarter: Spring
Day(s): Saturday and Sunday
Course Format: On-campus
Duration: 2 days
Date(s): Apr 27—Apr 28
Time: 9:00 am—4:00 pm
Drop Deadline: Apr 20
Unit: 1
Tuition: $550
Instructor(s): Jin Zhang
Limit: 30
Status: Registration opens Feb 25, 8:30 am (PT)
Spring
On-campus
Saturday and Sunday
9:00 am—4:00 pm
Date(s)
Apr 27—Apr 28
2 days
Drop By
Apr 20
1 Unit
Fees
$550
Instructor(s):
Jin Zhang
Limit
30
Registration opens Feb 25, 8:30 am (PT)
Product managers all know about MVP (minimum viable product). While MVP has helped companies focus on validating the riskiest assumptions, this approach has notable downsides, the most significant one being that “alpha” or “beta” versions of products often don’t engage users, or create enough “love” to help the product grow. A much better alternative is to aim for the MLP (most lovable product). What makes a product lovable and immediately irresistible? It must solve a customer’s problem and it must be designed with the user’s experience and goals in mind. Users should be able to easily connect with the product, want the product to succeed, and provide actionable feedback to improve the overall effectiveness of the product. This workshop will provide a five-step framework for developing the most lovable product, and help students figure out where to concentrate when preparing to launch a new product. In this two-day workshop we will focus on key areas such as problem statements, user definition, and iterative approaches. The workshop will include interactive classroom discussions, hands-on activities, and guest speakers with real-world maker experience.

While this course has no prerequisites, some product management experience will be strongly beneficial. A desire to seek innovation in product-building is essential.

Jin Zhang, Director of Product Management, Enterprise Workload and Hybrid Computing, Amazon

Jin Zhang has extensive product management experience with both startups and enterprises. She leads the product team for enterprise workload and hybrid computing at Amazon Web Services. Prior to Amazon, she was a founder of CA Technologies’s analytics accelerator, led engineering at Apigee, and managed a global team as an engineering executive for IBM. She is a frequent contributor to CIOReview magazine. Zhang received an MBA from Iowa State and also teaches at Menlo College.

Textbooks for this course:

There are no required textbooks; however, some fee-based online readings may be assigned.
DOWNLOAD THE PRELIMINARY SYLLABUS » (subject to change)