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CASE STUDY

Fintech Startup Doubles Conversion Rate with Data-Driven Feature Prioritization

The Challenge

A fintech startup was struggling to prioritize features in their product roadmap. Engineering was building features that didn't move the needle on key metrics like user activation and conversion. The product team lacked visibility into which features actually drove business outcomes.

Our Approach

We built a product analytics and prioritization system that tracks feature usage, correlates features to business metrics, and provides data-driven recommendations for roadmap planning. We implemented A/B testing frameworks and established clear success criteria for each feature launch.

Conducted comprehensive product analytics audit to identify current feature usage and impact

Built product analytics system that tracks feature usage, user behavior, and business metrics

Established feature-to-metric correlation framework that identifies high-impact features

Implemented A/B testing infrastructure to validate feature impact before full rollout

Created data-driven prioritization framework that weighs features based on metric impact

Developed feature launch process with clear success criteria and metric tracking

Established regular product review meetings to analyze feature performance and adjust roadmap

Key Features

Product analytics and feature usage tracking

Feature-to-metric correlation analysis

A/B testing infrastructure and framework

Data-driven feature prioritization system

Feature launch success criteria and tracking

Product performance dashboards and reporting

Impact & Results

Doubled conversion rate from 15% to 30% by prioritizing high-impact features

Reduced feature development waste by 50% through data-driven prioritization

Improved user activation by 40% by focusing on features that drive engagement

Enabled faster product iteration with clear metrics and success criteria

Increased feature adoption rates by 60% through better feature-market fit

Improved product team decision-making with data-driven insights and recommendations

Technologies & Capabilities

Product AnalyticsFeature PrioritizationA/B TestingUser Behavior TrackingMetrics FrameworkData VisualizationProduct Intelligence

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