Introduction
Aritzia's 30% decrease in Babaton blazer orders through their mobile app over the past quarter is a significant issue that requires 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 the context, then ruling out external factors before diving deep into the product ecosystem, user journey, and potential internal causes. We'll generate 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: Seasonal fluctuations could explain the decrease and impact our solution approach. Expected answer: Yes, it's been compared and the decrease is still significant. Impact on approach: If seasonal, we'd focus on year-over-year trends; if not, we'd investigate recent changes.
Why it matters: Different segments may have different reasons for the decrease, affecting our targeted solutions. Expected answer: The decrease is more significant among younger users. Impact on approach: We'd focus on understanding and addressing the needs of younger users if this is the case.
Why it matters: Recent changes could directly impact user behavior and orders. Expected answer: There was a minor app update and no changes to the product line. Impact on approach: We'd investigate the app update's impact if confirmed, or look deeper into other factors if not.
Why it matters: Changes in marketing could affect visibility and user acquisition, impacting orders. Expected answer: Marketing spend has remained consistent, but there's been a shift towards influencer marketing. Impact on approach: We'd analyze the effectiveness of the new marketing strategy if confirmed.
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