Introduction
The decline in Gett's VIP taxi service rating from 4.8 to 4.2 stars over the past quarter is a significant issue that requires immediate attention. This drop could indicate underlying problems affecting user satisfaction and potentially impact the service's reputation and market position. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal variations could explain temporary rating fluctuations. Expected answer: No significant seasonal changes observed. Impact on approach: If confirmed, we'd focus more on internal factors.
Why it matters: Changes in service offerings often impact user satisfaction. Expected answer: A slight price increase was implemented. Impact on approach: We'd need to analyze the price elasticity of demand and user perception.
Why it matters: This could indicate whether the issue affects all users equally or a specific segment. Expected answer: An increase in 3-star ratings and decrease in 5-star ratings. Impact on approach: We'd focus on understanding why previously satisfied users are now less enthusiastic.
Why it matters: Technical problems can directly impact user experience and ratings. Expected answer: A new app version was released at the start of the quarter. Impact on approach: We'd prioritize investigating potential bugs or UX issues in the new version.
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