Data synthesis in User research

Learn how to analyse, synthesise and make sense of raw data from UX research, and provide actionable insights
What you'll learn
Differentiate between observations, findings and insights
Apply affinity mapping as a tool for clustering, and identifying patterns of similar behaviors and mental models
Articulate what is data synthesis and the role it plays in UX Research
Capture user stories from raw notes derived from UX research
Synthesize quantitative and qualitative data
Integrate different frameworks and tools like storyboard and customer journeys for sense-making of user stories
Derive actionable insights aligned to the research goals
Use online and offline tools and techniques to synthesize research data
Requirements
A Graduate in any stream
Skilled in written and spoken English
Willing to take the leap into the exciting world of Design Thinking and UX research
Needs to be aware of design think process and user research methods
Description
Even though empathy and user centricity has been the crux of Design Thinking and UX Design, the need for user research or UX research has often been debated upon for a variety of reasons, like lack of time or just wanting to push through an ‘idea’ quickly.

And let us say, we do decide to conduct UX research before product/ service development. How do we ensure the effectiveness of such activity? How do we know if it will yield the best results and actionable insights?
Some pointers to think about-
Have we spoken to the right set of users?
Are all information and data relevant to the research goals?
How do we make sense of a large pool of raw data from the interviews?
What insights are useful and relevant to the stakeholders

About course:
In today's data-driven world, synthesizing data from diverse sources has become an essential skill for data analysts, researchers, and decision-makers. This online course on Data Synthesis aims to provide learners with an understanding of the importance of data synthesis and the techniques, best practices, and tools used in the process.

Students will learn the best practices and thumb rules in conducting data synthesis, to help derive effective actionable insights. Students will be able to understand and apply different methods and frameworks to help curate clear insights with appropriate validations and evidence to support the findings.
By the end of the course, students will have a clear understanding of the need and importance of data synthesis, best practices used in the process. They will be equipped with the skills to conduct rigorous and comprehensive data synthesis, making them valuable assets in the data-driven world.


Who this course is for:
Students looking to start career in UX Research
Working professionals looking for upskilling
Working professionals looking to shift domains

More Info