Introduction
For Loblaw Digital's PC Optimum app, we're facing a critical trade-off between adding new features or improving existing functionality. This decision will significantly impact user engagement, retention, and ultimately, the app's contribution to Loblaw's digital ecosystem. I'll analyze this trade-off by examining the current product landscape, identifying key metrics, designing experiments, and providing a data-driven recommendation.
I'd like to outline my approach to ensure we're aligned on the key areas I'll be covering in my analysis.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps prioritize between new features or existing functionality improvements Expected answer: Moderate churn rate, declining engagement Impact on approach: Would lean towards improving existing core features first
Why it matters: Aligns product strategy with business objectives Expected answer: Strong positive correlation between active app users and higher in-store spend Impact on approach: Would focus on features that drive both app engagement and store visits
Why it matters: Helps tailor features to high-value or underserved segments Expected answer: Higher adoption among millennials, lower engagement with older demographics Impact on approach: Might prioritize features appealing to underserved segments with high potential value
Why it matters: Influences the complexity and timeline of potential solutions Expected answer: Moderately modular, easier to optimize existing features Impact on approach: Might favor improving existing functionality in the short term
Why it matters: Determines the scope and timeline of potential solutions Expected answer: Limited resources, need to prioritize high-impact changes Impact on approach: Would focus on targeted improvements with the highest ROI
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