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Company focus

Prove

How can we explain the declining adoption rate of Prove's Trust Score among financial institutions in the past 6 months?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Financial Services Identity Verification Fraud Prevention Root Cause Analysis FinTech Financial Services Product Adoption Trust Scores
Product Management Root Cause Analysis Question: Investigating declining adoption of financial identity verification tool

Introduction

The declining adoption rate of Prove's Trust Score among financial institutions over the past 6 months 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 strategy.

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 addresses the immediate concern but also strengthens our product's position in the market.

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 be a seasonal component. Has this decline been consistent across all months, or are there fluctuations?

Why it matters: Seasonal patterns could indicate external factors rather than product issues. Expected answer: Consistent decline across all months. Impact on approach: If seasonal, we'd focus on market trends; if consistent, we'd look more at product or competitive factors.

  • Considering user segments, I'm curious about adoption rates across different types of financial institutions. Are we seeing uniform decline across all segments, or is it more pronounced in certain areas?

Why it matters: Segment-specific issues might require targeted solutions. Expected answer: Decline is more significant in smaller institutions. Impact on approach: Segment-specific decline would lead us to investigate unique needs or challenges of those segments.

  • Thinking about recent changes, have there been any significant updates to the Trust Score algorithm or pricing model in the last 6-8 months?

Why it matters: Internal changes could directly impact adoption rates. Expected answer: Minor algorithm update 7 months ago. Impact on approach: Recent changes would shift focus to impact assessment and potential rollback strategies.

  • Regarding competitive landscape, have any major competitors launched new products or features in this space recently?

Why it matters: Competitive pressure could explain adoption decline. Expected answer: One competitor launched a similar product 4 months ago. Impact on approach: Strong competitive moves would necessitate a deeper market analysis and differentiation strategy.

  • Considering data integrity, has there been any change in how we measure or define "adoption" in the past year?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes to adoption definition or measurement. Impact on approach: If definition changed, we'd need to recalibrate our analysis based on consistent metrics.

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NextSprints

Updated Mar 29, 2025