Introduction
The sudden 15% decrease in Shutterfly's holiday card orders compared to the same period last year 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 Shutterfly's business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and next steps.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact user behavior and order completion rates. Expected answer: Yes, we updated the card customization tool two months ago. Impact on approach: If confirmed, I'd focus on analyzing the new tool's usability and performance.
Why it matters: Ensures we're comparing apples to apples and not facing a data anomaly. Expected answer: No changes to our tracking or definitions. Impact on approach: If there were changes, I'd need to recalibrate our analysis based on the new metrics.
Why it matters: Changes in marketing could directly impact order volume. Expected answer: Marketing spend and strategy are similar to last year. Impact on approach: If different, I'd investigate the effectiveness of new marketing approaches.
Why it matters: Helps identify if the issue is more pronounced in specific user segments. Expected answer: The decrease is more significant among new customers. Impact on approach: I'd focus on analyzing the new customer experience and onboarding process.
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