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Product Management Trade-Off Question: PC Optimum app feature prioritization decision tree with metrics and user segments
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Nextsprints

Updated Jan 22, 2025

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For Loblaw Digital's PC Optimum app, should we prioritize adding new features or improving existing functionality?

Product Trade-Off Medium Member-only
Product Strategy Data Analysis Experimentation Retail E-commerce Loyalty Programs
User Retention A/B Testing Product Prioritization Feature Trade-Offs Retail Apps

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.

Analysis Approach

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)

  • Based on recent market trends, I'm thinking user retention might be a challenge. Could you share any insights on our current churn rate and user engagement metrics?

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

  • Considering our revenue model, I assume the app plays a crucial role in driving in-store purchases. How does app usage correlate with in-store spending?

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

  • Looking at our user segments, I'm curious about the adoption rates across different demographics. Can you provide a breakdown of our user base and their respective engagement levels?

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

  • Regarding technical feasibility, I'm wondering about our current app architecture. How modular is it, and what's our capacity for integrating new features versus optimizing existing ones?

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

  • Considering resource allocation, what's our current team capacity and budget for this initiative?

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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