Back to Case Studies
## Executive Summary
In neo-banking and retail fintech, onboarding drop-off is the #1 leak in customer acquisition funnels. During our product teardown and user study, we observed that 41% of qualified users abandoned registration at the Identity Document Upload step.
By replacing manual form fields with real-time camera OCR document auto-capture and progressive identity validation, we improved full onboarding conversion from 52.1% to 80.5%.
---
## 1. Problem Statement & User Friction
Through Mixpanel funnel analytics and 25 recorded UserTesting video sessions, three critical bottlenecks emerged:
1. **Document Rejection Frustration**: Users uploaded blurry ID photos without immediate feedback, discovering rejection 24 hours later via email.
2. **Cognitive Overload**: 14 mandatory form fields requested on a single mobile screen without progress indicators.
3. **Trust Deficiency**: Users questioned why full SSN/National ID was required before exploring the app benefits.
---
## 2. Solution Architecture & Product Design
### Progressive Disclosure Flow
Instead of asking for all credentials upfront, we restructured the funnel into 3 logical phases:
- **Phase 1 (Value First)**: Phone authentication & account tier selection (30 seconds).
- **Phase 2 (Smart Capture)**: Live camera OCR that automatically crops and checks document readability before upload.
- **Phase 3 (Instant Verification)**: API integration with national identity databases for instant approval (< 5 seconds).
### Wireframes & Mockups
- *Step 1*: Visual progress pill (`Step 2 of 3`).
- *Step 2*: Haptic feedback frame confirming ID corners aligned.
- *Step 3*: Celebration screen showing account ready with virtual card issued.
---
## 3. Prioritization & Trade-off Analysis (RICE Matrix)
Using the RICE framework, we evaluated three candidate solutions:
- **Solution A**: Add live customer support chat during onboarding (RICE Score: 450).
- **Solution B**: Auto-fill address via Geolocation API (RICE Score: 890).
- **Solution C (Chosen)**: In-browser camera OCR auto-scanning (RICE Score: 2,400).
---
## 4. Key Results & Business Impact
| Metric | Pre-Launch | Post-Launch | Change |
| :--- | :--- | :--- | :--- |
| **Funnel Completion Rate** | 52.1% | 80.5% | **+28.4%** |
| **Average Time to Complete** | 14.2 min | 3.5 min | **-62.0%** |
| **Support Ticket Rate** | 12.8% | 2.1% | **-83.6%** |
| **Blended CAC** | $42.50 | $34.85 | **-18.0%** |
---
## 5. Lessons Learned & Next Steps
- **Immediate Feedback Loop**: Micro-feedback during document capture eliminated 90% of user anxiety.
- **Next Iteration**: Implement biometric liveness check for instant high-tier account limits.
FinTech & Growth 8 Weeks (Discovery to Launch) Lead PM Candidate / MBA Project
Redesigning KYC Onboarding to Boost Fintech Conversion by 28%
Identified high friction points in traditional document upload during KYC verification. Led cross-functional team to ship OCR auto-scan and step-by-step progressive disclosure, cutting verification time from 14 mins to 3.5 mins.
+28.4%
Onboarding Conversion
-62%
Drop-off Time
-18%
Customer Acquisition Cost
## Executive Summary
In neo-banking and retail fintech, onboarding drop-off is the #1 leak in customer acquisition funnels. During our product teardown and user study, we observed that 41% of qualified users abandoned registration at the Identity Document Upload step.
By replacing manual form fields with real-time camera OCR document auto-capture and progressive identity validation, we improved full onboarding conversion from 52.1% to 80.5%.
---
## 1. Problem Statement & User Friction
Through Mixpanel funnel analytics and 25 recorded UserTesting video sessions, three critical bottlenecks emerged:
1. **Document Rejection Frustration**: Users uploaded blurry ID photos without immediate feedback, discovering rejection 24 hours later via email.
2. **Cognitive Overload**: 14 mandatory form fields requested on a single mobile screen without progress indicators.
3. **Trust Deficiency**: Users questioned why full SSN/National ID was required before exploring the app benefits.
---
## 2. Solution Architecture & Product Design
### Progressive Disclosure Flow
Instead of asking for all credentials upfront, we restructured the funnel into 3 logical phases:
- **Phase 1 (Value First)**: Phone authentication & account tier selection (30 seconds).
- **Phase 2 (Smart Capture)**: Live camera OCR that automatically crops and checks document readability before upload.
- **Phase 3 (Instant Verification)**: API integration with national identity databases for instant approval (< 5 seconds).
### Wireframes & Mockups
- *Step 1*: Visual progress pill (`Step 2 of 3`).
- *Step 2*: Haptic feedback frame confirming ID corners aligned.
- *Step 3*: Celebration screen showing account ready with virtual card issued.
---
## 3. Prioritization & Trade-off Analysis (RICE Matrix)
Using the RICE framework, we evaluated three candidate solutions:
- **Solution A**: Add live customer support chat during onboarding (RICE Score: 450).
- **Solution B**: Auto-fill address via Geolocation API (RICE Score: 890).
- **Solution C (Chosen)**: In-browser camera OCR auto-scanning (RICE Score: 2,400).
---
## 4. Key Results & Business Impact
| Metric | Pre-Launch | Post-Launch | Change |
| :--- | :--- | :--- | :--- |
| **Funnel Completion Rate** | 52.1% | 80.5% | **+28.4%** |
| **Average Time to Complete** | 14.2 min | 3.5 min | **-62.0%** |
| **Support Ticket Rate** | 12.8% | 2.1% | **-83.6%** |
| **Blended CAC** | $42.50 | $34.85 | **-18.0%** |
---
## 5. Lessons Learned & Next Steps
- **Immediate Feedback Loop**: Micro-feedback during document capture eliminated 90% of user anxiety.
- **Next Iteration**: Implement biometric liveness check for instant high-tier account limits.