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Company focus

Toss
Product Improvement Medium Member-only

How might Toss improve its budgeting tools within the app to help users better manage their finances?

Prepared by NextSprints

15 mins
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Feature Prioritization User Segmentation Data Analysis Fintech Personal Finance Mobile Banking User Experience Product Improvement Fintech App Development Financial Management
Product Management Improvement Question: Enhancing Toss app budgeting features for better personal finance management

Introduction

To improve Toss's budgeting tools within the app and help users better manage their finances, we need to take a comprehensive approach that considers user needs, market trends, and technological capabilities. I'll outline a strategic plan to enhance the budgeting features, focusing on user-centric solutions that drive engagement and financial well-being.

Step 1

Clarifying Questions (5 mins)

  • Looking at Toss's position in the fintech market, I'm curious about our current user base and their primary financial goals. Could you share some insights into the demographics and key use cases of our most engaged users?

Why it matters: This helps us tailor our budgeting tools to meet specific user needs. Expected answer: Primarily millennials and Gen Z, focused on daily expense tracking and savings goals. Impact on approach: Would prioritize features like visual spending breakdowns and savings challenges.

  • Considering the competitive landscape, I'm wondering about our unique value proposition in budgeting. How do our current budgeting tools compare to those of our main competitors, and what gaps have we identified?

Why it matters: Identifies areas for differentiation and improvement. Expected answer: Strong in basic expense tracking, but lacking in predictive analytics and personalized insights. Impact on approach: Would focus on integrating AI for personalized financial advice and forecasting.

  • Given the rapid evolution of fintech, I'm interested in understanding our data capabilities. What level of financial data aggregation and analysis can we currently perform, and are there any regulatory constraints we need to consider?

Why it matters: Determines the scope of advanced features we can implement. Expected answer: Comprehensive data aggregation across accounts, with strict privacy regulations. Impact on approach: Would explore machine learning models for insights while ensuring data protection.

  • Thinking about user engagement, I'm curious about the current adoption rate of our budgeting tools. What percentage of our active users regularly engage with the budgeting features, and what patterns have we observed in their usage?

Why it matters: Helps identify barriers to adoption and areas for improvement. Expected answer: 40% adoption rate, with higher engagement among users who connect multiple accounts. Impact on approach: Would focus on onboarding improvements and cross-feature integration to boost adoption.

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Updated Mar 29, 2025