Introduction
To enhance ShopBack's price comparison tool for more efficient deal-finding across multiple e-commerce platforms, we need to analyze user behavior, identify pain points, and develop innovative solutions. I'll approach this by examining user segments, analyzing the current user journey, generating solutions, and proposing metrics to measure success.
Step 1
Clarifying Questions
Why it matters: This helps us understand if users are fully utilizing the comparison feature or if there's untapped potential. Expected answer: Users typically compare 2-3 platforms. Impact on approach: If low, we'd focus on encouraging broader comparison. If high, we'd prioritize speed and efficiency.
Why it matters: Real-time data is crucial for accurate comparisons and user trust. Expected answer: Data is updated hourly for major platforms, daily for others. Impact on approach: If not real-time, we'd prioritize improving data freshness and accuracy.
Why it matters: This influences the design of the comparison interface and the user flow. Expected answer: 60% from product searches, 40% from retailer pages. Impact on approach: We'd tailor the comparison experience based on the dominant entry point.
Why it matters: This integration could be a key differentiator and value driver for users. Expected answer: Basic integration exists, but there's room for improvement. Impact on approach: We'd look to create a more unified experience between price comparison and cashback features.
Now that we've gathered some crucial information, let's take a minute to organize our thoughts before moving on to user segmentation.
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