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Leveraging Data in Iterative Product Design
Anne Rynearson,
JJ Miclat,
and
Vaishali Agarwal
Anne Rynearson,
JJ Miclat,
and
Vaishali Agarwal
Master qualitative data analysis and refine your product design skills with our online data collection training and iterative learning course. Get started today
Prerequisite details
Read more
Master qualitative data analysis and refine your product design skills with our online data collection training and iterative learning course. Get started today
Prerequisite details
Read more
Master qualitative data analysis and refine your product design skills with our online data collection training and iterative learning course. Get started today
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Basic descriptive statistics
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/abfa4r/leveraging
What's inside
Syllabus
In this lesson, you will be given an overview of the course.
In this lesson, you will learn how to choose and measure KPIs for different business models.
Read more
Syllabus
In this lesson, you will be given an overview of the course.
In this lesson, you will learn how to choose and measure KPIs for different business models.
Read more
In this lesson, you will learn how to create user conversion funnels and apply it to product management.
In this lesson, you will learn how to generate user segments and apply user segment analysis.
In this lesson, you will learn the benefits and drawbacks of quantitative and qualitative data and how to integrate data into the iterative design lifecycle.
In this lesson, you will learn the A/B test, multivariate test, how to evaluate the test and respond to the test results.
In this project, you will analyze the data from a previously run multivariate experiment to determine what is the next best step for Flyber.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches data collection and iterative learning, which are skills for product designers
Examines quantitative and qualitative data, which is highly relevant to product management
Taught by Anne Rynearson, JJ Miclat, and Vaishali Agarwal, who are recognized for their work in product design
Develops skills for creating user conversion funnels, a core skill for product management
Develops skills for generating user segments, a core skill for product management
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Activities
Coming soon
We're preparing activities for
Leveraging Data in Iterative Product Design.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Leveraging Data in Iterative Product Design will develop knowledge and skills
that may be useful to these careers:
Product Manager
Product Manager
A Product Manager is responsible for the development and execution of a product roadmap. They work with engineers, designers, and marketers to bring a product to market and ensure that it meets the needs of customers. The course on **Leveraging Data in Iterative Product Design** can help Product Managers develop the skills they need to collect and analyze data, make informed decisions, and iterate on their products to improve performance. The course covers topics such as qualitative data analysis, user conversion funnels, user segmentation, and A/B testing, which are all essential skills for Product Managers who want to succeed in their roles.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They work with large datasets to identify trends, patterns, and insights that can help businesses make better decisions. The course on **Leveraging Data in Iterative Product Design** can help Data Scientists develop the skills they need to collect, clean, and analyze data, and communicate their findings to stakeholders. The course covers topics such as descriptive statistics, data visualization, and qualitative and quantitative data analysis, which are all essential skills for Data Scientists who want to succeed in their roles.
User Experience Researcher
User Experience Researcher
A User Experience Researcher (UX Researcher) studies how users interact with products. They use qualitative and quantitative research methods to understand user needs and preferences, and then use this information to design products that are easy to use and enjoyable.
Marketing Analyst
Marketing Analyst
A Marketing Analyst uses data to track and measure the effectiveness of marketing campaigns. They work with marketers to develop and implement marketing strategies, and then use data to evaluate the results of those campaigns.
Product Designer
Product Designer
A Product Designer is responsible for the design of a product. They work with engineers and marketers to create products that are both functional and visually appealing.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with users to understand their needs, and then use their technical skills to create software that meets those needs.
Business Analyst
Business Analyst
A Business Analyst uses data to identify and solve business problems. They work with stakeholders to understand their needs, and then use their analytical skills to develop solutions that meet those needs.
Data Analyst
Data Analyst
A Data Analyst uses data to identify trends, patterns, and insights. They work with stakeholders to understand their needs, and then use their analytical skills to develop solutions that meet those needs.
Market Researcher
Market Researcher
A Market Researcher uses data to understand the needs of customers. They work with marketers to develop and implement marketing strategies, and then use data to evaluate the results of those campaigns.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses data to improve the efficiency and effectiveness of operations. They work with stakeholders to understand their needs, and then use their analytical skills to develop solutions that meet those needs.
Financial Analyst
Financial Analyst
A Financial Analyst uses data to analyze financial performance. They work with stakeholders to understand their needs, and then use their analytical skills to develop solutions that meet those needs.
Risk Analyst
Risk Analyst
A Risk Analyst uses data to identify and mitigate risks. They work with stakeholders to understand their needs, and then use their analytical skills to develop solutions that meet those needs.
Statistician
Statistician
A Statistician uses data to draw conclusions about populations. They work with stakeholders to understand their needs, and then use their statistical skills to develop solutions that meet those needs.
Actuary
Actuary
An Actuary uses data to assess risk. They work with insurance companies and other financial institutions to develop and implement risk management strategies.
Epidemiologist
Epidemiologist
An Epidemiologist uses data to investigate the causes of disease. They work with public health officials to develop and implement strategies to prevent and control disease.
For more career information including salaries, visit:
OpenCourser.com/course/abfa4r/leveraging
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Leveraging Data in Iterative Product Design.
Provides a comprehensive guide to conducting user research and design for small teams or individuals. It covers various methods for gathering and analyzing user data, as well as techniques for creating user-centered designs.
Save
Introduces the Lean UX approach, which emphasizes iterative design and continuous improvement. It shows how to use Lean principles to optimize the user experience design process, resulting in better products and reduced development time.
Save
Introduces the user story mapping technique, a collaborative approach to defining and prioritizing user requirements. It provides a step-by-step guide on how to create user story maps and use them to align stakeholders and improve product development.
Save
Introduces the Objectives and Key Results (OKRs) framework, a goal-setting and tracking system used at Google. It provides practical guidance on how to set effective OKRs, track progress, and use them to drive organizational performance.
Explores the concept of disruptive innovation and how it can lead to the downfall of established companies. It provides insights into the challenges and opportunities of bringing new products to market and how to avoid the innovator's dilemma.
Provides a comprehensive overview of human-centered design principles and how they can be applied to the design of everyday objects. It covers topics such as usability, affordance, and emotional design.
Introduces the Lean Startup methodology, an iterative approach to product development. It provides practical advice on how to test and validate business ideas quickly and cheaply, and how to build successful products that meet customer needs.
Discusses the importance of analytics in modern business and provides a framework for using data to drive competitive advantage. It covers topics such as data collection, analysis, and visualization, and how to use analytics to inform decision-making.
Save
Explores the field of predictive analytics and how it can be used to make accurate predictions about future events. It covers various predictive modeling techniques and how to apply them to real-world problems.
Provides a gentle introduction to data science and machine learning for business professionals. It covers topics such as data wrangling, feature engineering, and model evaluation, and how to apply data science techniques to solve business problems.
Save
Explores the two systems of thinking: System 1, which is fast, intuitive, and emotional, and System 2, which is slow, deliberate, and logical. It provides insights into how these systems work and how they can be used to make better decisions.
Save
Examines the science of habits and how they can be formed, broken, or changed. It provides practical advice on how to use habits to improve productivity, achieve goals, and live a healthier life.
Explores the ethical considerations of artificial intelligence and machine learning. It discusses topics such as fairness, bias, and accountability, and how to develop AI systems that are fair, ethical, and beneficial to society.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/abfa4r/leveraging
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Effort
4 weeks
Level
Intermediate
Via
Udacity
Instructors
Anne Rynearson
JJ Miclat
Vaishali Agarwal
Language
English
Good to know
Teaches data collection and iterative learning, which are skills for product designers
Examines quantitative and qualitative data, which is highly relevant to product management
Taught by Anne Rynearson, JJ Miclat, and Vaishali Agarwal, who are recognized for their work in product design
Develops skills for creating user conversion funnels, a core skill for product management
Develops skills for generating user segments, a core skill for product management
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