##### Scenario Lyft notices its driver WOW (satisfaction) score has dropped 10% quarter-over-quarter. ##### Question How would you investigate the causes behind the driver WOW score drop? What data would you pull, which segments would you examine, and what hypotheses would you test? Propose an experiment or product change to improve the WOW metric and explain how you would measure success. ##### Hints Think metric definitions, funnel breakdowns, cohort analysis, A/B test design, and measurable KPIs.

This question evaluates a Data Scientist's skills in metric validation, causal diagnosis, segmentation analysis, and experiment design within the Analytics & Experimentation domain, focused on driver satisfaction metrics.

How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

What difficulty level is this interview question?

This is a medium difficulty Analytics & Experimentation question, commonly asked during Onsite rounds at Lyft.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Lyft during technical interviews.

Investigate Causes of Driver WOW Score Drop

Investigating a 10% QoQ Drop in Driver WOW (Satisfaction)

Context

Assume WOW is a standardized driver satisfaction metric collected via in-app surveys (e.g., 0–10 or 1–5 Likert), aggregated weekly and reported quarterly. The latest quarter shows a 10% relative decrease in the mean WOW score. Your task is to diagnose causes and propose a data-driven fix.

Tasks

Clarify the metric and verify the drop (definitions, weighting, response rates, significance, seasonality).
Identify what data to pull and how to break down the driver journey/funnel.
Specify segments to examine and hypotheses to test.
Propose an experiment or product change to improve WOW and define success metrics and guardrails.

Investigating a 10% QoQ Drop in Driver WOW (Satisfaction)

Context

Tasks

Clarify the metric and verify the drop (definitions, weighting, response rates, significance, seasonality).
Identify what data to pull and how to break down the driver journey/funnel.
Specify segments to examine and hypotheses to test.
Propose an experiment or product change to improve WOW and define success metrics and guardrails.

Investigate Causes of Driver WOW Score Drop

Quick Overview

Investigating a 10% QoQ Drop in Driver WOW (Satisfaction)

Context

Tasks

Solution

Submit Your Answer

Investigate Causes of Driver WOW Score Drop

Quick Overview

Investigating a 10% QoQ Drop in Driver WOW (Satisfaction)

Context

Tasks

Solution

Submit Your Answer