Introduction
The sudden 30% decrease in Kurly's Beauty+ subscription sign-ups since the latest app update is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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: Establishes a clear timeline for the issue. Expected answer: The update was released on [date] and the decrease was noticed within [timeframe]. Impact on approach: Helps narrow down potential causes related to the update.
Why it matters: Identifies if the issue is widespread or specific to certain user groups. Expected answer: The decrease is [uniform/varies] across user segments, with [specific group] being most affected. Impact on approach: Guides the focus of our investigation and potential solutions.
Why it matters: Pinpoints where in the user journey the problem is occurring. Expected answer: We've seen a [increase/decrease/no change] in users starting the process, with the main drop occurring at [specific step]. Impact on approach: Helps focus the analysis on specific parts of the user journey.
Why it matters: Rules out or confirms technical problems as a contributing factor. Expected answer: We've [seen/not seen] an increase in [specific technical issues] since the update. Impact on approach: Determines whether to prioritize technical investigations or focus on other areas.
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