For MoEngage's push notification service, should we optimize for higher delivery rates or focus on reducing user annoyance and potential app uninstalls?

Introduction

The trade-off we're examining today is whether MoEngage's push notification service should prioritize higher delivery rates or focus on reducing user annoyance and potential app uninstalls. This scenario touches on the delicate balance between maximizing reach and preserving user experience in mobile engagement strategies.

I'll approach this analysis by first asking clarifying questions, then identifying the trade-off type, understanding the product, formulating a hypothesis, defining key metrics, designing an experiment, planning data analysis, creating a decision framework, and finally providing a recommendation with next steps.

Step 1

Clarifying Questions (3 minutes)

• Based on the current market landscape, I'm thinking push notifications are a critical engagement tool. Could you share how push notifications fit into MoEngage's overall product strategy?

Why it matters: Helps understand the strategic importance of this feature Expected answer: Core feature driving user engagement and retention Impact on approach: Would influence the weight given to delivery rates vs. user experience

• Considering user behavior trends, I'm assuming we have data on notification engagement rates. Can you provide insights on current open rates and how they vary across user segments?

Why it matters: Establishes a baseline for measuring impact Expected answer: Varied engagement rates across segments, with some showing fatigue Impact on approach: Would help tailor the solution to different user groups

• From a technical standpoint, I'm thinking about the current delivery infrastructure. What's our current delivery success rate, and what are the main technical challenges affecting it?

Why it matters: Identifies technical constraints and opportunities Expected answer: 80-90% success rate, challenges with different device types and network conditions Impact on approach: Would inform the feasibility of improving delivery rates

• Looking at our resources, I'm curious about our team's capacity. How many engineers and data scientists can we dedicate to this project?

Why it matters: Determines the scope of potential solutions Expected answer: Small dedicated team available Impact on approach: Would influence the complexity of experiments and implementations we can consider

• Considering market dynamics, I'm wondering about the urgency of this decision. Is there a specific timeline or event driving this trade-off analysis?

Why it matters: Helps prioritize this project against other initiatives Expected answer: Upcoming feature release or competitor moves creating urgency Impact on approach: Would affect the depth of analysis and speed of implementation