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Product Management Root Cause Analysis Question: Investigating Currencycloud API usage decline among fintech clients
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Nextsprints

Updated Jan 22, 2025

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How can we explain the declining usage of Currencycloud's API integration tools among fintech clients since the latest software update?

Data Analysis Problem Solving Technical Understanding Fintech SaaS Financial Services
Product Analytics User Retention Fintech Root Cause Analysis API Integration

Introduction

The declining usage of Currencycloud's API integration tools among fintech clients since the latest software update is a critical issue that requires 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 and client relationships.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only resolves the current situation but also strengthens our product offering and client satisfaction in the long run.

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 the update might have introduced unexpected changes. Could you provide more details about the nature of the latest software update?

Why it matters: Understanding the update's scope helps pinpoint potential technical issues. Expected answer: Information about new features, changes to existing functionality, or backend improvements. Impact on approach: Guides focus on specific areas of the API that might be causing problems.

  • I'm curious about the scale of the decline. Can you share any specific metrics on the usage drop, such as percentage decrease or affected API endpoints?

Why it matters: Quantifying the issue helps prioritize our response and resource allocation. Expected answer: Specific percentages or numbers showing the decline across different API functions. Impact on approach: Allows for targeted investigation of the most affected areas.

  • Considering user segments, have you noticed if the decline is uniform across all client types or more pronounced in specific segments?

Why it matters: Identifies whether the issue is global or specific to certain user groups. Expected answer: Breakdown of usage decline by client size, industry, or integration complexity. Impact on approach: Helps tailor solutions to most affected segments and identify potential commonalities.

  • Regarding the timeline, how soon after the update did you start noticing the decline in usage?

Why it matters: Establishes a clear cause-effect relationship between the update and usage decline. Expected answer: Specific timeframe, e.g., immediately, within a week, or over a longer period. Impact on approach: Influences the urgency of our response and helps narrow down potential causes.

  • I'm wondering about any changes in error rates or performance metrics. Have you observed any significant shifts in these areas since the update?

Why it matters: Technical issues often manifest in increased errors or decreased performance before affecting usage. Expected answer: Data on error rates, response times, or other relevant performance indicators. Impact on approach: Guides the technical investigation and potential quick fixes.

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