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Product Management Root Cause Analysis Question: Investigating sudden e-commerce average order value decline in cannabis industry
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Nextsprints

Updated Jan 22, 2025

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Why has dutchie's e-commerce platform seen a sudden 20% decline in average order value across multiple states this week?

Data Analysis Problem-Solving Strategic Thinking Cannabis E-commerce SaaS
E-Commerce Data Analysis Root Cause Analysis User Behavior Cannabis Industry

Introduction

The sudden 20% decline in average order value (AOV) across multiple states for dutchie's e-commerce platform this week 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 business.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. This framework ensures a comprehensive examination of all potential factors contributing to the AOV decline.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Given the multi-state impact, I'm wondering about regulatory changes. Have there been any recent changes in cannabis regulations across affected states?

Why it matters: Regulatory shifts could directly impact purchasing behavior. Expected answer: No significant regulatory changes reported. Impact on approach: If confirmed, we'll focus more on internal factors and user behavior.

  • Considering the sudden nature of the decline, I'm curious about technical issues. Have we observed any unusual patterns in site performance or checkout processes?

Why it matters: Technical glitches could be preventing higher-value transactions. Expected answer: No major technical issues reported, but worth investigating further. Impact on approach: If technical issues are present, we'll prioritize immediate fixes.

  • Looking at user segments, I'm wondering about changes in customer mix. Has there been a shift in the proportion of medical vs. recreational users?

Why it matters: Different user types may have distinct purchasing patterns. Expected answer: No significant changes in user segment proportions. Impact on approach: If confirmed, we'll explore other factors affecting purchasing behavior.

  • Thinking about product offerings, have there been any recent changes to the product catalog or pricing structure?

Why it matters: Changes in available products or pricing could directly impact AOV. Expected answer: Some minor updates to product offerings, but no major overhauls. Impact on approach: We'll investigate how these changes might have affected purchasing decisions.

  • Considering external factors, has there been any notable competitor activity or marketing campaigns in the affected states?

Why it matters: Competitive pressures could be influencing customer behavior. Expected answer: Some increased competitor activity, but nothing out of the ordinary. Impact on approach: We'll factor in competitive landscape when analyzing user behavior.

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