Interpret a statistically significant lift of 2% from an experiment
Last updated: March 8, 2026
Quick Overview
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Salesforce
March 8, 202632
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4,458 solved
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
This analytics question from Salesforce's Take-home Project tests your ability to think critically about data. The interviewer expects you to consider confounding variables, selection bias, and the difference between correlation and causation.
What the Interviewer Expects
- Design a rigorous experiment with proper randomization and sample size calculation
- Define primary and guardrail metrics with clear rationale
- Address novelty effects, network effects, and interference
- Segment results appropriately and identify heterogeneous treatment effects
- Propose follow-up analyses when results are ambiguous
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
- What if you discover a bug in the logging during the experiment?
- What would you do if a stakeholder wants to end the experiment early because initial results look good?
- How would you handle seasonality in your experiment?
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Browse Analytics QuestionsSample Answer
Problem Setup
The analytical question at hand is: Does the observed 3% lift in performance from the experiment indicate a meaningful improvement in our metrics? To evaluate this, we need to consider the p-value of ...
Methodology
Given the p-value of 0.08, we should apply a Bayesian approach in conjunction with the frequentist results to interpret this lift. This involves calculating the posterior probability of the lift being...
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