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Product Management Trade-off Question: Balancing restaurant selection and delivery speed for a food delivery app

Asked at Noon

15 mins

Should Noon prioritize expanding our restaurant selection or improving delivery speed?

Product Trade-Off Medium Member-only
Strategic Thinking Data Analysis Experiment Design Food Delivery E-commerce Logistics
User Experience Food Delivery Product Trade-Offs Growth Strategy

Introduction

The trade-off between expanding our restaurant selection and improving delivery speed is a critical decision for Noon's growth strategy. This scenario involves balancing user choice with operational efficiency, both of which are key drivers of customer satisfaction and retention. I'll analyze this trade-off by examining its impact on various stakeholders, evaluating key metrics, and proposing an experimental approach to inform our decision.

Analysis Approach

I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and constraints of this decision. Then, I'll walk you through my analysis framework, covering product understanding, hypothesis formation, metrics identification, experiment design, and ultimately, a recommendation with next steps.

Step 1

Clarifying Questions (3 minutes)

  • Context: I'm assuming Noon is a food delivery platform competing in a crowded market. Could you confirm if this is correct, and if there are any unique aspects of our positioning or target market?

Why it matters: Helps tailor the strategy to our specific market context Expected answer: Confirmation of business model and any distinguishing features Impact on approach: Would influence whether we prioritize breadth or depth of offerings

  • Business Context: Based on our current growth stage, I'm thinking revenue growth might be our primary focus. How does this trade-off align with our key business objectives for the next 12-18 months?

Why it matters: Ensures alignment with overarching business strategy Expected answer: Prioritization of growth metrics (e.g., user acquisition, order volume) Impact on approach: Would guide whether we focus on expanding market share or improving unit economics

  • User Impact: I'm considering the potential impact on different user segments. Can you share any insights on which aspect - restaurant variety or delivery speed - our users value more based on recent feedback or churn analysis?

Why it matters: Helps prioritize features based on user preferences Expected answer: Data on user satisfaction drivers and retention factors Impact on approach: Would influence which option we test first or allocate more resources to

  • Technical Feasibility: Regarding delivery speed improvements, I'm curious about our current technical capabilities. What are the main bottlenecks in our delivery process, and how much room for improvement do we have without significant infrastructure changes?

Why it matters: Determines the feasibility and potential impact of speed improvements Expected answer: Overview of current delivery system and potential optimization areas Impact on approach: Would affect the scope and timeline of delivery speed initiatives

  • Resource Allocation: Considering both options require investment, I'm wondering about our current resource constraints. What's our capacity for taking on new restaurant onboarding or delivery optimization projects in the next quarter?

Why it matters: Ensures proposed solutions are realistic given current resources Expected answer: Overview of available team capacity and budget Impact on approach: Would influence the scale and timeline of proposed experiments

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