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Product Management Root Cause Analysis Question: Investigating sudden drop in mobile offer redemptions for loyalty app
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the sudden 30% decrease in redemption rates for Punchh's mobile offers feature over the last two weeks?

Data Analysis Problem Solving Product Strategy Restaurant Technology Retail Customer Loyalty
Data Analysis Customer Retention Root Cause Analysis Mobile Apps Loyalty Programs

Introduction

The sudden 30% decrease in redemption rates for Punchh's mobile offers feature over the last two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product strategy.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product ecosystem. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a comprehensive plan to validate our findings and implement solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might have been a recent app update. Has there been any significant changes to the mobile app in the last month?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was an update two weeks ago. Impact on approach: If confirmed, we'd focus on changes in that update.

  • Given the specific 30% drop, I'm wondering about our measurement accuracy. Has there been any change in how we track or calculate redemption rates?

Why it matters: Ensures we're addressing a real issue, not a measurement error. Expected answer: No changes in measurement. Impact on approach: If there were changes, we'd need to audit our analytics first.

  • Considering user segments, I'm curious if this decrease is uniform across all user groups. Are we seeing this 30% drop consistently across different user segments or locations?

Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: The decrease varies across segments. Impact on approach: If varied, we'd focus on the most affected segments first.

  • Thinking about external factors, have there been any significant changes in our competitors' offerings or marketing strategies in the past month?

Why it matters: External market changes could influence our users' behavior. Expected answer: No major competitor changes noted. Impact on approach: If there were changes, we'd need to consider market positioning.

  • Considering the feature itself, has there been any change in the types or values of offers we're providing through the mobile offers feature?

Why it matters: Changes in offer quality could directly impact redemption rates. Expected answer: Offer types and values have remained consistent. Impact on approach: If changed, we'd need to analyze offer attractiveness.

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