Interpret a statistically significant lift of 2% from an experiment
Last updated: July 17, 2025
Quick Overview
An experiment shows conflicting results. What conclusions can you draw? What are the caveats?
Adobe
July 17, 202527
6
686 solved
An experiment shows conflicting results. What conclusions can you draw? What are the caveats?
Adobe asks this during the Onsite to assess your experimentation skills. They want to see how you define success metrics, design controlled experiments, and interpret results with appropriate statistical rigor.
What the Interviewer Expects
- Define clear success metrics aligned with business goals
- Propose a basic experimental design with control and treatment groups
- Interpret results correctly and draw reasonable conclusions
- Identify obvious confounding variables
Key Topics to Cover
How to Approach This
- Define success metrics carefully. A good metric is measurable, actionable, and aligned with business goals.
- Run experiments long enough to account for novelty effects and weekly seasonality.
- Use funnel analysis to identify where users drop off for maximum optimization impact.
- Segment results by key dimensions (platform, country, user cohort) to catch hidden patterns.
- Consider network effects and interference between treatment and control groups.
Possible Follow-up Questions
- How would you handle seasonality in your experiment?
- What if the experiment shows a positive short-term effect but you suspect a negative long-term impact?
- What would you do if a stakeholder wants to end the experiment early because initial results look good?
- What if you discover a bug in the logging during the experiment?
Sharpen Your Skills on Codemia
Practice similar problems with our interactive workspace, get AI feedback, and track your progress.
Browse Analytics QuestionsSample Answer
Problem Setup
The analytical question at hand is to interpret a statistically significant lift of 2% from an A/B test conducted by Adobe. To assess this lift, we need to define our success metrics aligned with Adob...
Methodology
To analyze the 2% lift, we will use a two-sample proportion test to determine if the difference in conversion rates between the control group (C) and treatment group (T) is statistically significant. ...
Submit Your Answer
