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Company focus

Optus
Product Improvement Medium Member-only

How can Optus enhance its My Optus app to provide more personalized recommendations for data usage optimization?

Prepared by NextSprints

15 mins
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Product Strategy User Segmentation Data Analysis Telecommunications Mobile Apps Data Services User Experience Product Improvement Personalization Data Analytics Telecom
Product Management Improvement Question: Enhancing Optus app for personalized data usage recommendations

Introduction

To enhance the My Optus app's personalized recommendations for data usage optimization, we need to deeply understand our users' behaviors, pain points, and the app's current capabilities. I'll approach this challenge by analyzing user segments, identifying key pain points, generating innovative solutions, and proposing a strategic implementation plan.

Step 1

Clarifying Questions

  • Looking at the product context, I'm thinking about the app's current personalization capabilities. Could you share what level of personalization the My Optus app currently offers for data usage optimization?

Why it matters: Determines our starting point and areas for improvement Expected answer: Basic usage alerts and general tips Impact on approach: Would focus on advanced AI-driven personalization if basic features are already in place

  • Considering user behavior, I'm curious about the typical interaction frequency with the app. How often do users currently engage with the My Optus app, and what are the primary use cases?

Why it matters: Helps identify opportunities for increasing engagement and value delivery Expected answer: Monthly usage checks and bill payments Impact on approach: Would prioritize features that encourage more frequent, proactive engagement

  • Thinking about Optus's position in the market, how does the current app's personalization compare to key competitors? Are there any specific areas where we're lagging or leading?

Why it matters: Identifies competitive advantages and areas for differentiation Expected answer: Lagging in predictive analytics but strong in user interface Impact on approach: Would focus on leveraging AI and machine learning to enhance predictive capabilities

  • Considering company alignment, what are the key business objectives driving this initiative? Are we primarily focused on reducing customer churn, increasing ARPU, or something else?

Why it matters: Ensures our solution aligns with broader company goals Expected answer: Reducing churn and increasing customer satisfaction Impact on approach: Would prioritize features that enhance customer loyalty and perceived value

Tip

At this point, I'd like to take a 1-minute break to organize my thoughts before diving into the next step.

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Updated Jan 22, 2025