Data-Driven Business: Experiment, Prototype & Improve

سرفصل های دوره

Master Data-Driven Decisions: Experimentation, Prototyping, MVPs & Performance Analysis

1 - Welcome to the course

1 - Welcome Course Overview

2 - Course Introduction and Datadriven mindset

2 - Chapter Overview

3 - The Importance of DataDriven Decision Making

4 - The Cost of Changing a Product

5 - Observation vs Experiment

6 - Experiment vs Prototype vs MVP

3 - Experimentation and Hypothesis Testing

7 - Chapter Overview

8 - Generating Ideas

9 - My Additional Techniques for Generating Ideas

10 - Evaluating and Selecting Ideas

11 - My Additional Thoughts on Selecting Ideas

12 - Decompose Simplify and Refine

13 - Establish Your Metrics

14 - Developing Testable Hypotheses

15 - Introduction to AB Testing

16 - AB Testing Requires Domain Knowledge

17 - Analyzing Experimental Results and AB Test Outcomes

4 - Fundamentals of DataDriven Prototyping

18 - Chapter Overview

19 - Low and HighFidelity Prototypes.html

20 - How can I fail as quickly as possible

21 - Prototyping is not just for UX.html

22 - Prototyping Techniques

23 - Data Collection Methods for Prototyping

24 - I love the yellow walkman

5 - Minimum Viable Product MVP

25 - Chapter Overview

26 - The Concept of MVP

27 - From Experiments and Prototypes to MVPs

28 - Value Proposition and Product Assumptions.html

29 - Usability Tests and Exhaust Data

30 - Iterate Iterate Iterate

31 - MVPs are Not Just For Startups.html

32 - Know When to Quit Polishing.html

6 - Integrating Lessons Learned

33 - Chapter Overview

34 - The Experiment Is The Product

35 - The Experiment Card

36 - Embrace Negative Outcomes

37 - Embrace the Culture of Experimentation and Continuous Improvement.html

38 - Lets Summarize and Recap

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تولید کننده: Udemy