Project Overview

Ria is a money transfer app, that allows users to transfer funds internationally. The goal was to improve the error resolution to reduce customer drop-off rate within the payments funnel. Achieved an 80% reduction in customer drop-off by leveraging product metrics and qualitative research methods.

Industry project

Data-driven design

UX design

Project details

Organization : Ria Money Transfer | Euronet

Role: I was the sole product designer working cross functionally with the product owner, product analyst and engineers.

Timeline: 2 Weeks, shipped October 2023

‍Tools: Figma, Figjam, Amplitude and Logrocket.

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Problem overview

Through analysis of the user drop-off in the money transfer journey, we found that:

Users struggle to understand errors related to money transfer limits.

Users would create multiple transactions for sending higher amounts.

Users don’t know how to increase their transfer limit to send higher amounts.

Roadmap to data informed design process

Leveraged insights from analytics during research and design phase to drive design decisions.

Analyze

Analyze product metrics to identify potential problem areas.

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Understand

Leveraging observations of live user sessions and user interviews.

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Align

Scoping and alignment with stakeholders on project goals.

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Design

Design a solution that helps users resolve errors easily to reduce drop-off.

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1.Analyze product metrics

Analyzing the transaction creation funnel I observed a huge drop-off after users had confirmed the quote but before the transaction was created.

Analysed user drop-off at various stages in the money transfer funnel using Amplitude.

This graph represents the user drop-off at various stages in the money transfer funnel.

Next step was understanding if the drop-off was at the customer end or an issue within the app.

Analyzing the payments funnel

Digging deeper into the product metrics of active users to pin-point the data points where the users dropped off.

Customer drop-off in the payments funnel

‍📉 Observation
A 32.7% drop-off between the stages of creating a transaction and it being processed within the app.

💡 Hypothesis
Indicating that the issue was within the app as users were happy with the transfer rates and wanted to commit to the transaction but failed after confirming to proceed.

2. Understand

Understanding the issue through the user

Leveraging observations of live user
sessions of customers using the app at the drop-off point.

Insights:
Since the users had no verification issue and the problem was with limits on transfer amount. Exploring three use cases that could cause this issue:

Payment or delivery method limits
Country based limits
Tier based limits on individual.

Tool used: LogRocket

Unearthing user pain points from in-depth interviews

Conducted interviews with 7 users facing transaction issues due to payment limits.

Key insights

The error message is vague and does not inform the user if the transfer limit is on the payment or delivery method.

The user does not know the various kinds of limits on transaction i.e payment & delivery method , country based and tier based limits.

User does not know they can change the payment or delivery method to send higher amount.

Highlighting this was clearly a usability issue combined with lack of information making the user frustrated and resulting in the drop-off.

Competitor analysis

Came across a diverse set of approaches that enabled users to update the payment or delivery method when facing issues in completing the transaction.

Remitly

What works for Remitly is clear messaging and easy error resolution, as users can increase their transaction limits, change the payment or delivery or send a lower amount.

Wise

What works for Wise: Good error prevention; based on the transfer amount, users can only select available payment or delivery methods.

3.Scoping and alignment

Collaborating with product and engineering folks analyzing the constraints and time-lines, we discovered:

Limit based on the payment and delivery method: Easy and faster to implement with maximum impact. Had existing information on the various limits and could use existing backend infrastructure to implement this.
Country-based limits: Gathering compliance information for all countries poses a significant time and effort challenge, alongside the need for substantial investment in technical infrastructure.

Working with the product team, we realized that the scope was large and had to be simplified. Based on maximum impact, we prioritized error resolution based on payment and delivery method limits .

4. Design

What would work: Do we only make the payment/delivery methods available depending on the transfer limits or allow the users to change the method that would allow them to send higher amounts?

Leveraged analytics to understand user preferences and identified primary trends that shape user behavior.

Findings about user preferences

Allow users to change the amount or the payment/delivery method as users had mixed preferences, some users prefer to stick to the same payment methods while others change frequently.

❎ Inconsistent for some payment methods

61% of users using “pay in person” as their payment method change their payment method.

✅ Consistent for user using bank transfers and debit cards

Only 5.87% users using debit cards and 11.6% of users using bank transfers changed their payment method.

Building on insights from user interviews, CTR reports, competitive research, and heuristic evaluation,
I established the following design goals.

Establishing design outcomes

#1 User control and freedom

By introducing two intuitive buttons, we empowered users to easily rectify limit issues by adjusting the transaction amount or changing the payment/delivery method.

#2 Clear messaging

Clear error messages were introduced to inform the user of where the limit is and guide users on how they can resolve the issue.

Components created

Created new modals and list items for the design system

Modals

Featuring concise error messages and intuitive buttons for effortless resolution of limit issues through adjustment of transaction amount or modification of payment/delivery method.

List and list items

Showing only the available option based on the amount entered which is good practice for error prevention.
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Aligning the final prototypes with design outcomes:

Clear and concise messaging ensures that users easily understand the issue.

Simple error resolution to make the app more user-friendly.

High fidelity prototypes

[data-wf-bgvideo-fallback-img] { display: none; } @media (prefers-reduced-motion: reduce) { [data-wf-bgvideo-fallback-img] { position: absolute; z-index: -100; display: inline-block; height: 100%; width: 100%; object-fit: cover; } }

Resolving payment method error

Clear error messages show maximum transfer limit for chosen payment method.
Resolve issues easily with buttons to adjust amount or change payment method.
Opting to change method reveals a list of available payment methods based on transaction amount, while selecting amount redirects to the calculator.

Resolving delivery method error

Simple error messages displaying the maximum transfer limit for the chosen delivery method.
Easy error resolution by adjusting the transaction amount or changing the delivery method.
Opting to change method reveals a list of available delivery methods based on transaction amount, while selecting amount redirects to the calculator.

Leveraging data informed design to reduce customer drop-off at ria

Project Overview

Ria is a money transfer app, that allows users to transfer funds internationally. The goal was to improve the error resolution to reduce customer drop-off rate within the payments funnel. Achieved an 80% reduction in customer drop-off by leveraging product metrics and qualitative research methods.

Project details

Organization : Ria Money Transfer | Euronet

Problem overview

Through analysis of the user drop-off in the money transfer journey, we found that:

Roadmap to data informed design process

Analyze

Understand

Align

Design

1.Analyze product metrics

Analyzing the transaction creation funnel I observed a huge drop-off after users had confirmed the quote but before the transaction was created.

Analysed user drop-off at various stages in the money transfer funnel using Amplitude.

This graph represents the user drop-off at various stages in the money transfer funnel.

Next step was understanding if the drop-off was at the customer end or an issue within the app.

Analyzing the payments funnel

Digging deeper into the product metrics of active users to pin-point the data points where the users dropped off.

Customer drop-off in the payments funnel

‍📉 ObservationA 32.7% drop-off between the stages of creating a transaction and it being processed within the app.

💡 HypothesisIndicating that the issue was within the app as users were happy with the transfer rates and wanted to commit to the transaction but failed after confirming to proceed.

2. Understand

Understanding the issue through the user

Leveraging observations of live usersessions of customers using the app at the drop-off point.

Unearthing user pain points from in-depth interviews

Key insights

Concept trade-off discussion with product and engineering folks

Step 1: We realized that the scope of this issue was large and had to be simplified.

Step 2: Analyze constraints and time-lines:

Final decision:To start with calculator-based limits as it was quicker to execute with limited engineering bandwidth and had maximum impact.

Competitor analysis

Came across a diverse set of approaches that enabled users to update the payment or delivery method when facing issues in completing the transaction.

Remitly

Wise

3.Scoping and alignment

Collaborating with product and engineering folks analyzing the constraints and time-lines, we discovered:

Working with the product team, we realized that the scope was large and had to be simplified. Based on maximum impact, we prioritized error resolution based on payment and delivery method limits .

4. Design

What would work: Do we only make the payment/delivery methods available depending on the transfer limits or allow the users to change the method that would allow them to send higher amounts?

Leveraged analytics to understand user preferences and identified primary trends that shape user behavior.

Findings about user preferences

Allow users to change the amount or the payment/delivery method as users had mixed preferences, some users prefer to stick to the same payment methods while others change frequently.

❎ Inconsistent for some payment methods

✅ Consistent for user using bank transfers and debit cards

Building on insights from user interviews, CTR reports, competitive research, and heuristic evaluation,I established the following design goals.

Establishing design outcomes

#1 User control and freedom

#2 Clear messaging

Components created

Created new modals and list items for the design system

Modals

List and list items

Aligning the final prototypes with design outcomes:

Clear and concise messaging ensures that users easily understand the issue.

Simple error resolution to make the app more user-friendly.

High fidelity prototypes

Resolving payment method error

Resolving delivery method error

IMPACT

Reduced customer drop-off by 80 % at the drop off point, through clear messaging and simple error resolution.

Increase in the number of transactions and the number of higher value transactions by active users.

Decreased number of calls to the customer service team.

Future goals

Work on the error resolution funnel for country and tier based limits. This is will require digging deeper into compliance requirements based on the senders and receiver's country as well as verification level.

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‍📉 Observation
A 32.7% drop-off between the stages of creating a transaction and it being processed within the app.

💡 Hypothesis
Indicating that the issue was within the app as users were happy with the transfer rates and wanted to commit to the transaction but failed after confirming to proceed.

Leveraging observations of live user
sessions of customers using the app at the drop-off point.

Final decision:
To start with calculator-based limits as it was quicker to execute with limited engineering bandwidth and had maximum impact.

Building on insights from user interviews, CTR reports, competitive research, and heuristic evaluation,
I established the following design goals.