Introduction
Our team partnered with a leading financial institution to design a seamless DIY loan application journey, enabling customers to independently complete the process while addressing their functional and emotional needs. The objective was to enhance customer autonomy while maintaining usability and trust.
We conducted a comparative analysis of three distinct loan application models:
- DIY (Self-Service): A fully digital, self-guided process.
- Assisted (Hybrid): Support agent intervention when needed.
- Manual (Traditional): In-person, paper-based applications.
This analysis helped us identify opportunities to streamline the user experience, reduce friction, and improve conversion rates, positioning the institution as a leader in digital lending.
Project Duration
- 4 Months - Design & Development
- 1 Month - Bot Design
Role
- Product Design
- Interaction Design
- User Research
- Usability Testing
Design Tools
- Figma
- Balsamiq
- Pen & Paper
Deliverables
- Initial Mockups
- High-Fidelity Wireframes
- User Journey Mapping
- Persona Chart
This case study is part of our broader exploration of AI-driven solutions in the financial sector, detailed in the Chatbot UX Case Study.
Define
Crafting the Problem Statement
Traditional loan applications are often cumbersome, requiring extensive paperwork, multiple touchpoints, and long wait times. Customers frequently experience confusion due to complex requirements, lack of transparency, and dependency on support agents.
To address these challenges, we introduced a DIY loan application journey that empowers users while balancing autonomy, guidance, and trust.
Loan Journey Comparison
Manual Journey
A traditional, face-to-face process where loan officers guide users. While it builds trust, it's often time-consuming and inconvenient, leading to long wait times and lack of control.
Assisted Journey
A hybrid model where users receive agent support when needed. It offers reassurance but introduces delays and occasional loss of control.
DIY Journey
A fully self-service model where users complete applications independently. This approach maximizes efficiency and control, minimizing wait times and external dependency.
Loan Process Steps
- Authentication: Verifying the user's identity through secure methods.
- Eligibility Criteria: Ensuring the user meets the requirements for the loan.
- Documentation: Collecting required documents such as proof of income and identity.
- Application Form: Completing the loan application form with personal and financial information.
- Loan Disbursement: Once approved, the loan amount is disbursed to the user’s account.
Empathize
Understanding the User’s World
To empathize with our users and tailor the design to their needs, we created two key personas: the Customer and the Bank Manager. Each persona represents a distinct user group with unique goals, challenges, and pain points.
Creation of Personas
Persona 1: Priya, the Loan Applicant
Based on our research, including interviews, surveys, and usability tests, we developed a user persona for Priya, a 32-year-old professional from Bengaluru. Priya is tech-savvy and prefers managing her tasks online, especially when balancing work and family. She aims to complete her loan application smoothly and stay updated on its progress. Priya’s pain points include unclear application status, uncertainty about document submission, and excessive follow-ups. This persona helped us design an experience that prioritizes efficiency, clear communication, and a smooth, hassle-free process for loan applicants.
Persona 2: Amit, the Bank Manager
Our research also led to the creation of Amit’s persona, a 43-year-old senior bank manager from Mumbai with over 15 years of experience. Amit oversees loan approvals and manages customer communication. His motivations include streamlining customer interactions and reducing repetitive tasks. Amit's challenges include juggling multiple systems and tabs, which leads to inefficiency. He values tools that enhance collaboration and speed up approvals. By understanding Amit’s frustrations and goals, we could ensure that our design would improve his workflow, communication, and overall efficiency in managing loan requests and customer interactions.
Ideate
Information Architecture & Flow Design
Based on insights from user research, we developed an intuitive flow for the DIY journey. The key was to simplify complex forms and provide contextual assistance without overwhelming the user.
- Step-by-Step Process: A clear, linear process with progress indicators to reduce anxiety.
- Dynamic Forms: Forms adapted to the user’s selections, minimizing cognitive load and making the experience feel more tailored.
- Interactive Help: Embedded tooltips and microcopy to explain terms and guide users through complex sections.
Prototype
Visualizing the Concept in Figma
We focused on a minimalist UI to avoid cognitive overload. Key elements included:
- Visual Cues: Clear call-to-action buttons and color-coding to distinguish between sections.
- Responsive Design: Optimized for both desktop and mobile devices, ensuring a seamless experience across platforms.
- Error Prevention: Inline validation to prevent users from submitting incomplete or incorrect information.
Emotional Support Elements
To address the emotional concerns identified in research, we integrated features that offered reassurance and guidance:
- Confidence Building: Positive reinforcement messages at each step (e.g., "You're doing great!") to reduce anxiety.
- Chatbot Integration: A chatbot available throughout the journey for immediate support, offering personalized guidance and answering questions in real-time.
- Help Center: Links to FAQs and video tutorials for users who preferred self-service over live chat.
Challenges & Solutions
Challenge 1: Managing User Anxiety
Solution: Tooltips and contextual help were added, ensuring users always felt supported without needing to leave the DIY journey. Users could easily switch to live assistance if they felt lost.
Challenge 2: Balancing Automation with Human Support
Solution: A hybrid model was implemented, where users could choose to interact with a chatbot or agent when needed, ensuring they never felt stranded. Emotional touchpoints guided users in their decision-making process.
Results & Impact
The launch of the DIY loan journey resulted in:
- Increased Conversion Rates: A significant increase in loan applications through the DIY platform, with a noticeable decrease in abandonment rates compared to the Assisted and Manual models.
- Higher User Satisfaction: Post-launch surveys showed a 25% improvement in user satisfaction, with many users expressing appreciation for the ability to control their loan application process.
- Emotional Engagement: Emotional journey mapping showed that users felt more empowered and less anxious with the new DIY process compared to traditional methods.
Conclusion
The DIY loan journey successfully addressed the needs of users who preferred autonomy while providing reassurance and emotional support when needed. The hybrid approach, with a chatbot option, significantly enhanced the experience by allowing users to switch between self-service and support based on their comfort level.
This case study is a precursor to the can be found here: Chatbot UX Case Study, where we explore how AI-driven solutions further enhanced customer interactions within the financial services domain, leading to even more personalized and efficient user journeys.