top of page

Case Study

Reducing Onboarding Drop-offs During Document Upload / Verification.

Role:

Product | UI/UX Designer


Skills:

UX/UI design, research analysis, prototyping, and iterative design.

​

 

1 |  Overview

​

Problem:

Users drop off during the document upload/verification step. For applicants this is a high friction point during onboarding process/flow and was leading to dropping out.

​

Possible causes:

  • Unawareness of required documents.

  • Using incorrect documents.

  • Generating wrong format or low-quality document images.

​

Goal:

To redesign the document verification process to reduce drop-offs, improving clarity and usability, and enhance the overall user experience.

 

​

 

 

2 |  Research Phase

​

 

User Research:

Conducted interviews and usability tests with users who had attempted document verification.


Key insights / pain points:

  • Users were unclear about which documents were acceptable before starting the process.

  • Instructions on document format were unclear (e.g., PDF, image).

  • Some users lacked the required documents and didn’t know how to proceed.

  • Missteps led to frustration and drop-offs (e.g., uploading an incorrect document or low-quality documents).

  • The app provided no clear guidance on resolving errors.

​​

​

Competitive Analysis:

Reviewed similar document verification flows in apps like ID.me, Dropbox Sign, Stripe and PayPal.

 

Identified effective practices:

  • Previewing acceptable documents.

  • Pre-upload checklists.

  • Real-time feedback on document quality.

  • User-friendly fallback options.

​​

 

​

3 |  Problem Statement

​

 

Primary Problem:

Users drop off because they don’t know which documents are required or upload the wrong documents.


Design Goal:

Simplify the document verification process by providing clear, upfront guidance, so they can seamlessly complete document verification without confusion or frustration.

​

  ​

4 |  User Personas

​

 

Persona 1: Sarah, The Planner

  • Tech-savvy user who expects clear and fast instructions.

  • Pain Point: Wants to prepare documents but doesn’t know what’s needed in advance.

  • Goal: Complete the process without surprises.


Persona 2: John, The On-the-Go User

  • Non-tech-savvy user who needs step-by-step guidance and reassurance.

  • Pain Point: Uploads blurry or incorrect documents in a hurry.

  • Goal: Receive immediate feedback to fix issues without abandoning the application.

​

 

5 |  User Journey Mapping

 

 

Current Flow Pain Points:
Step 1: Users reach the verification step without knowing what’s required.
Step 2: They upload an incorrect or low-quality document.
Step 3: Error messages lack clarity, leading to frustration and drop-offs.

Proposed Flow Enhancements (Brainstorming Solutions):
Step 1: Introduce a pre-verification checklist to inform users of acceptable documents. Include visual examples of acceptable documents (e.g., driver's license, passport).
Step 2: Add real-time feedback for incorrect uploads (e.g., “This document is blurry”).
Step 3: Offer actionable error messages and alternative steps for users without the required document (e.g., Defer verification or use another form of ID).

​

    

    .  

  

6 |  Ideation Phase

​

 

Key Features:

  • Document Preparation Screen:

  • A checklist detailing required documents with visual examples.

  • An FAQ section for common questions (e.g., “What if I don’t have a driver’s license?”).

 

Guided Upload Interface:

  • Step-by-step instructions for taking or uploading a document (e.g., “Take a photo of your government-issued ID”).

  • Tool-tips for correct framing, focus, and lighting.

 

Real-Time Feedback:

  • Instant feedback for common issues like blurriness or incorrect documents.

  • Error messages with actionable advice (e.g., “This image is too dark. Please retake it in good lighting.”).

​

Fallback Options:

  • Allow users to save progress and return later.

  • Offer alternative verification methods (e.g., a video call with support).

​

​

7 |  Design Phase

​

 

Wireframes:

  • Low-fidelity sketches to define key screens:

Step 1: A pre-verification screen with a checklist and visuals of acceptable documents.

Step 2: A simplified upload interface with clear instructions (e.g., “Take a photo of your government-issued ID”).

Step 3: Real-time feedback messages (e.g., “The image is too blurry—please retake it”).


High-Fidelity Mockups / Prototyping:

  • Created polished designs in Figma with a focus on usability and accessibility.


Accessibility Considerations:

  • Ensured text and visual elements met WCAG 2.1 standards.

  • Used large, tappable buttons for easy navigation  

​

​ 

8 |  Testing and Iteration

​

 

Usability Testing:

  • Key findings after conducting the prototype test with 10 users.

​

Before Upload: 90% of users found the checklist helpful and felt prepared.

“The checklist made it easy to prepare documents beforehand.”

 

During Upload: Users appreciated the real-time feedback feature.

“I liked the immediate feedback on my photo—it saved time.”

 

Post Upload: 80% completed the process without errors or frustration.


Iterations:

  • Simplified error messages for better clarity.

  • Added a progress bar to reduce anxiety about remaining steps.

  • Enhanced visual examples to include edge cases (e.g., expired IDs).

​

​

9 |  Outcomes and Impact

​

​

Metrics:

  • Drop-off Rate: Reduced from 40% to 15%.

  • Error Rate: Decreased by 30% due to real-time feedback.

  • 75% of users completed verification on the first attempt (up from 50%).

  • Error-related support tickets decreased by 30%.

  • User Satisfaction: Improved based on post-implementation surveys.


Qualitative Feedback:

“I loved the checklist; it made me feel confident I had the right document.”
“The feedback made the process feel smoother and less frustrating.”
“I felt much more confident knowing what was needed before starting.”

​

 

 

10 |  Learning and Next Steps

​

​

Key Takeaways:

  • Providing upfront guidance and visual examples significantly improved user understanding.

  • Providing upfront clarity reduces user anxiety.

  • Real-time feedback fosters user confidence and prevents errors.


Next Steps:

  • Monitor long-term engagement metrics.

  • Explore AI-powered document recognition for faster feedback.

  • Consider adding a chatbot for real-time assistance.

  • Roll out similar improvements for other app flows.

 

 

11 |  Conclusion

​

​

By addressing user pain points with clear instructions, user-friendly document verification process, visual aids, real-time feedback, the redesigned document verification flow significantly reduced drop-offs and improved overall satisfaction.

 

This case study highlights the importance of understanding user needs and iterating for clarity and usability.

​

** 2024

​

© 2024 by Liparisi. All rights reserved.

bottom of page