Empowering users in their Home Loan journey

As a smaller player competing against the big four, Bendigo Bank sought to enhance their home loan services by improving user engagement on their home loan landing page. Their data showed an average of 6k monthly visitors, with the page struggling with a 35% bounce rate. Quantitative data revealed a higher enquiry rate among users who interacted with the repayment calculator compared to those who did not. We hypothesised that guiding users to understand their borrowing position through the calculator would increase their confidence and lead to more enquiries. As part of our ongoing experimentation program with Bendigo Bank, we were tasked with exploring and implementing strategies to boost customer engagement.

Role

UX/UI Designer, CRO & Experimentation

Role

UX/UI Designer, CRO & Experimentation

Role

UX/UI Designer, CRO & Experimentation

Industry

Consumer Finance

Industry

Consumer Finance

Industry

Consumer Finance

Deliverables

2 concept variations for mobile and desktop screens

Deliverables

2 concept variations for mobile and desktop screens

Deliverables

2 concept variations for mobile and desktop screens

Duration

2 months

Duration

2 months

Duration

2 months

Illustration of family standing in front of house with sold sign
Illustration of family standing in front of house with sold sign
Illustration of family standing in front of house with sold sign

The Approach

To thoroughly understand the problem, we began by creating personas of potential customers, identifying one key persona: "The Researcher." This user is actively researching the cost of a home loans and is keen to understand what their repayments might look like. Their primary concerns is knowing their potential monthly repayments and ensuring they could afford them. Their mission was to gain a clear understanding of these repayments to ensure they could service the loan. We recognised cognitive biases such as 'Framing' and the 'Ben Franklin Effect' would influence their decision-making process.





Our method centred around prominently featuring the repayment calculator as a hero element. The process was designed to be intuitive, prompting users to enter the amount they need to borrow and supporting them with copy that emphasises urgency and provides clear information. This approach was informed by our understanding that users on the home loan page were not being adequately encouraged to understand their borrowing position.





Our aim was to guided users to understand their current position using the repayment calculator, so that more users would begin the enquiry process because they would have a better understanding of their position, which in turn would give them the confidence to proceed.

The Approach

To thoroughly understand the problem, we began by creating personas of potential customers, identifying one key persona: "The Researcher." This user is actively researching the cost of a home loans and is keen to understand what their repayments might look like. Their primary concerns is knowing their potential monthly repayments and ensuring they could afford them. Their mission was to gain a clear understanding of these repayments to ensure they could service the loan. We recognised cognitive biases such as 'Framing' and the 'Ben Franklin Effect' would influence their decision-making process.





Our method centred around prominently featuring the repayment calculator as a hero element. The process was designed to be intuitive, prompting users to enter the amount they need to borrow and supporting them with copy that emphasises urgency and provides clear information. This approach was informed by our understanding that users on the home loan page were not being adequately encouraged to understand their borrowing position.





Our aim was to guided users to understand their current position using the repayment calculator, so that more users would begin the enquiry process because they would have a better understanding of their position, which in turn would give them the confidence to proceed.

Desktop and mobile screens of old home loan page
Desktop and mobile screens of old home loan page
Desktop and mobile screens of old home loan page
Snap shot of a persona for the researcher
Snap shot of a persona for the researcher
Snap shot of a persona for the researcher

+71%

Mobile interaction

+71%

Mobile interaction

+71%

Mobile interaction

+58%

Desktop interaction

+58%

Desktop interaction

+58%

Desktop interaction

+16%

Inquires submitted

+16%

Inquires submitted

+16%

Inquires submitted

Test and Learn

To kick off the design phase, we developed three distinct concepts and presented them to stakeholders to gather their feedback. Based on this input we run an A/B test, comparing Variation 2 with the current state. Once the designs were built, we conducted the test and monitored it closely until we achieved stat sig. The data revealed overwhelming success: the variation resulted in a 58% increase in desktop users and a 71% increase in mobile users visiting the repayment calculator page. Additionally, there was a 16% bump in submitted inquiries.





We observed a significant increase in users visiting the repayment calculator page, indicating its relevance for new users. The visibility of the repayment calculator was greatly enhanced. While engagement from returning users also increased, but to a lesser extent.

Collection of mobile screens with different concepts of the home loan screen
Collection of mobile screens with different concepts of the home loan screen
Collection of mobile screens with different concepts of the home loan screen
A collection of error states for variation 2 on mobile screens
A collection of error states for variation 2 on mobile screens
A collection of error states for variation 2 on mobile screens
Desktop screens from variation 2
Desktop screens from variation 2
Desktop screens from variation 2

This case study demonstrates the critical importance of understanding user needs and behaviours. We learned that the repayment calculator is highly relevant to Bendigo Bank's users, with over a third of visitors reaching the calculator page. The content was particularly valuable to users in their research phase. The increased volume of users engaging with the calculator empowered them to contact Bendigo Bank more frequently than the control version. Highlighting the value of iterative design and testing in micro environments to create meaningful impactful for users and business.

This case study demonstrates the critical importance of understanding user needs and behaviours. We learned that the repayment calculator is highly relevant to Bendigo Bank's users, with over a third of visitors reaching the calculator page. The content was particularly valuable to users in their research phase. The increased volume of users engaging with the calculator empowered them to contact Bendigo Bank more frequently than the control version. Highlighting the value of iterative design and testing in micro environments to create meaningful impactful for users and business.

Mobile and desktop screens of the new home loan page
Mobile and desktop screens of the new home loan page
Mobile and desktop screens of the new home loan page

Copyright © 2025 by Phong Do

Copyright © 2025 by Phong Do

Copyright © 2025 by Phong Do