**As of March 10, this workshop is sold out. You can join the waiting list by filling out this form.**
1 day virtual workshop
March 30, 2023, 8:00 am-4:00 pm PT
UX researchers often rely on a common toolkit of qualitative research methods, such as interviews and usability testing. But more complex research problems require us to employ quantitative approaches side-by-side with our qualitative tools, combining them in powerful new ways that can be immensely impactful.
UX researchers who are new to quantitative research methods often find themselves at a disadvantage in the face of ever more complex research challenges. In this workshop, we will cover common quantitative approaches to UX research for qual-minded research professionals who want to uplevel their quantitative skills.
Target Audience
The workshop will cater to audiences who come to their UX research practice with qualitative and mixed-methods backgrounds. You’ll leave with confidence in your ability to work with quantitative research approaches, and you’ll develop greater skills at analyzing quantitative data as well as interpreting and presenting the results.
Pre-requisites
Workshop attendees should have a minimum of 2 years experience working as a professional researcher (e.g., UX researcher or market researcher), and use qualitative methods such as interviews, usability tests, focus groups, and contextual inquiries.
Takeaways
- A set of communication tools to intelligently tell a “qual-quant is better together” story so your stakeholders will feel confident in your advice and in their decisions.
- A basic introduction to data science, data analytics, and quant UX so that you can collaborate more successfully with your quant peers.
- Techniques and tools for comparing designs quantitatively.
Agenda
8:00-8:30 Section 1: Introduction
- Introduce background on quant and qual thinking.
- Connecting science, stories and data.
- Ice-breaker and meet everyone.
- Discussion: reflect on your approach.
8:30-10:00 Section 2: When qual is not enough
- Lecture topic: Scoping and planning projects with requests from quant minded folks.
- Activity: Practice research design and framing with request examples.
- Lecture topic: Best practices for reporting on quant data.
- Activity: Review and fix problematic report examples.
10:00-10:15 Break
10:15-12:00 Section 3: Ways of working with your quant partners in data science, analytics, market research, etc
- Lecture topic: How qualitative helps Quant
- Activity: Identify areas and people to collaborate with in your work.
- Lecture topic: Better together – data triangulation and generalization
- Activity: Have bridging conversations with quant disciplines.
12:00-1:00 Lunch break
1:00-3:15 Section 4: Fun with quant data
- Lecture topic: A/B testing lite
- Activity: analyzing data in Python and discussion in large scale application
- Lecture topic: What is an Opportunity Score, when to use it, and how to calculate it.
- Activity: calculate an opportunity score using data in Python
3:15-3:30 Break
3:30-4:00 Section 5: Wrap up
- Quick review of key themes.
- Resources share out.
- Q&A
