RB UX Skillshop - It's a wrap! {more info}
We sincerely thank you for taking the time to attend our Skillshop, no matter where in the world you joined us from. We hope you found the sessions enriching and informative.
Here are a few important reminders:
The event recording will be available on the Research Bookmark platform next week.
If you attended the 2-day Skillshop, you will receive your certificate before the end of the month. Make sure you have an RB account to access it.
Save the date for May 11th! We will be hosting an Ask Me Anything (AMA) session featuring renowned industry and academic experts who will discuss the far-reaching implications of user experience as a career. Whether you're considering a move to UX or want to stay updated on emerging trends, this is an event you won't want to miss. Mark your calendars and join us for an engaging and informative session.
📝For those who missed today's session, here are some key takeaways:
It's best to work collaboratively with your team when conducting thematic analysis. This helps to minimize confusion and ensures consistency in the coding process. To achieve this, it's crucial to have open discussions about the tags and their meanings with the team. By doing so, you can ensure that everyone is using the same tags and coding process, which can significantly enhance the accuracy and reliability of your analysis.
Don't stop at deriving insights from the data. It's important to use those insights to make actionable recommendations that can create real-world impact. Try exploring various strategies such as data visualization or clustering to extract insights effectively. These insights can then guide the creation of recommendations that deliver meaningful results.
Consider using a hybrid deductive and inductive tag creation approach when conducting thematic analysis. This involves creating a list of predetermined codes or themes while also remaining open to the emergence of new codes or themes during analysis. By utilizing this approach, you can ensure that your analysis is both comprehensive and flexible, allowing for a more thorough understanding of your data.
We hope you enjoyed the Skillshop as much as we did, and we're here to answer any questions you may have. Please feel free to reach out to us at [email protected].
All the best,
The RB Team