Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
Summary
You've probably heard the old adage "correlation does not imply causation" but at some point we've got to say that drinking boiling hot tea and burning our tongues are more than just "strongly correlated". Enter Causal Inference, a collection of techniques for reasoning about the relationship between effects that can be measured and causes that can be identified. It helps us bridge between what we hear when we talk directly to users and what we observe about their behavior at scale and over time. This talk will introduce some of the key techniques in causal inference and how they can be used by UX Researchers and Designers to understand potential users, current users, and the products we might build.
Key Insights
-
•
Causal inference bridges qualitative reasoning about context with quantitative analysis of data.
-
•
Directed acyclic graphs help visualize causal pathways and common pitfalls like confounders and colliders.
-
•
Randomized controlled experiments require random assignment, blinding, and pre-specified hypotheses to measure causal effects reliably.
-
•
Average treatment effect summarizes impact on an entire population, whereas intent-to-treat reveals experiment adherence issues.
-
•
Quasi-experimental methods like regression discontinuity and difference-in-differences allow causal inference when randomization is not possible.
-
•
Matching is an art, relying on context-aware ranges rather than exact numeric equivalence to equate comparison groups.
-
•
Synthetic control methods build counterfactual scenarios when no good control group exists.
-
•
Understanding and designing for interpretability strengthens collaboration between designers and analytics or marketing teams.
-
•
Qualitative research poses valuable questions; quantitative causal inference sharpens and tests these questions.
-
•
Behavioral causes revealed by causal inference may differ from user self-reported reasons, offering deeper insights.
Notable Quotes
"Correlation doesn’t imply causation, but sometimes two things happening together do imply a causal mechanism."
"Qualitative reasoning about causal mechanisms usually comes from lived experience, either the researcher or participants."
"Designers have a hard time interpreting econometrics-driven quantitative research without bridging approaches."
"Random assignment to treatment or control is essential—if it’s not random, it’s not a true experiment."
"If you cannot remove a treatment, it may not be a true cause."
"Matching is very much an art, not a science; there are no hard and fast rules for what counts as a good match."
"Difference-in-differences lets you study treatment effects in groups that start in very different places by looking at trends."
"Synthetic controls create counterfactuals using historical data when no suitable control group exists."
"Qualitative research really poses questions; quantitative methods let you investigate those questions rigorously."
"You don’t want to overdesign just to make something more data interpretable because that can lead you down a dark path."
Or choose a question:
More Videos
"The trick is the conversation – bringing finance, sales, and product people together to make your assumptions more believable."
Giff ConstableFinancial fluency for product leaders: AMA with Giff Constable
April 11, 2024
"Users frequently felt overwhelmed and misunderstood; this was a significant barrier to a positive shopping experience."
Kritika YadavOptimizing AI Conversations: A Case Study on Personalized Shopping Assistance Frameworks
June 10, 2025
"Without safety, human beings literally can’t think."
Alla WeinbergHow to Build and Scale Team Safety
January 8, 2024
"Designing for privacy is like designing for accessibility — you should aim beyond mere compliance to user-centered solutions."
Harry Brignull Mark Leiser Robert StribleyBeyond Clicks and Tricks: Why deceptive design has grown into a regulatory faultline
January 16, 2026
"Too often quality is the last priority and the first thing to go when teams are pressured to ship faster."
Kit UngerTheme 2: Introduction
June 10, 2021
"When you change people’s workflows, you are literally changing power dynamics."
Sofia QuinteroBeyond Tools: The Messy Business of Implementing Research Repositories
March 10, 2022
"Proactive transparency about UX work draws attention and eventually makes people come to you proactively."
Jeff GothelfThe Intersection of Lean and Design
January 10, 2019
"Our aspirations and anxieties are our users and messages, our passions and pet peeves."
Kit Unger Lada GorlenkoTheme 3 Intro
June 10, 2022
"We think with things; our brain is part of us but we extend our cognition into our environments and tools."
Jorge ArangoThe Best of Both Worlds: How to Integrate Paper and Digital Notes (1st of 3 seminars)
April 5, 2024
