SaaS / web app / fintech / FTUE

a-matcher

investment info aggregator

Client

IndicatorLab

Timeframe

July - Sep, 2022 (9 weeks)

Type

Web Application

Role

Product Designer

Tool

Miro / Figma / Illustrator

Project introduction

A-matcher is an AI-driven investment assistant tool that empowers retail investors to make decisions based on the projection model. As a UX designer on the team, I was brought on to iterate the platform that had initially been designed by the engineers. My mission was to optimize the platform's onboarding process and eliminate barriers to entry to ensure that new users could quickly become acquainted with the product.

My contribution

I worked with two other designers, a product manager, and two engineers on
•  User research & Design goal exploration
•  Onboarding experience redesign (wireframes, low-fi and high-fi)
•  Usability testings & internal design critique

Our redesigned product reduced the time to first value (the time user takes to the first "aha" moment) by 70%, making it easier and quicker for the user to get started with the product.

Solutions

• Convey value in the first place & intuitive onboarding
Offer users a concise and straightforward onboarding experience along with hands-on activities to convey the value and enhance learning
• Always-available help center
Make it convenient for users to access onboarding tutorials whenever they need them.

Problems

• 10% Monthly Active User (MAU) rate
The current product struggles with low learnability and a lack of perceived value, resulting in a low Monthly Active User (MAU) rate
• Tedious and neglectable onboarding experience
Users found the way of onboarding time-consuming and tedious, making it challenging to reach the 'aha' moment of understanding the product's benefits.

Context

What is A-Matcher?

"An AI-driven investment information aggregator that takes history as a mirror smartly for a better investment."

A-Matcher was born in 2021 when...
• The number of retail investors surged worldwide after the pandemic hit the world in early 2020.
• Now retail investors have became an increasing growing force in the market.
• Generation investors (investors got into trading in 2020) usher their golden era. 50% of them are millennials.
• Millennials have very different approaches to investment from their predecessors. And they are trust more on advisor+tech mode services.

Who is the target user?

Our product targets two distinct groups of users: analysts and retail investors. For the current iteration, we have decided to focus exclusively on retail investors who have the following characteristics:
• Possess financial literacy (entry-level and above.)
• Seeking investment assistance tools to aid them in making informed decisions.

Persona of A-Matcher

Connecting design to business

During the beta phase of A-Matcher, IndicatorLab identified a significant gap between user sign-ups and active users, with a low MAU rate of only 10%. Through user research, they discovered that many users bounced out at the first page and did not return. To address this issue, we made the strategic decision to focus on improving the onboarding experience. A smooth and intuitive onboarding process is critical for the success of the product, as it aligns with our company's goal of increasing the MAU rate and building sustainable relationships with users.

Research & Primary insights

Testing product with users

To better understand the problem, we then moved into a screening survey to find our target audience to participate in user interviews and testing. We got 83 responses and selected 6 of them that best fit the target users’ characteristics. We asked about their goals and expectations beforehand, then observed their behaviors, and recorded their thoughts and needs while they were interacting with the platform.It was obvious that there were many frictions that prevent users from understanding the value of the product and manipulating it quickly. 4 Primary pain points were discovered:

Current product: multiple frictions during the onboarding process

Mapping out user journey

With the synthesized insights, we quickly found patterns and narrated them holistically through user journey mapping. As a result, we were able to identify the moments we would intervene in the next phases and uncover opportunities accordingly.Our research found that one of the major friction points that frustrates users is that: users don't have any ways to learn the product when they begin using it.

How might we optimize the onboarding experience to enable users to get acquainted with the product quickly and easily?

Ideation

Brainstorming possible solutions

Sketches played a vital role in enabling us to explore potential solutions for the minimum viable product (MVP) at an early stage during the brainstorming process. Once we had a variety of ideas, we brought them to stakeholders to gather feedback from both technical and marketing perspectives. This feedback helped us to swiftly prioritize solutions, ensuring that the most feasible and effective options were selected for the MVP.

Storyboard

Narrating Henry’s Story with A-Matcher

To ensure design and development are heading in the same direction, we reorganized solutions and visualized them in Henry’s story. Let Henry (our persona) walk through his interaction with A-Matcher!

Design

Streamline the onboarding flow

We aimed to make the account creation process as effortless as possible, enabling users to achieve maximum efficiency without the need to repeatedly navigate between sign-up and sign-in pages. In addition, we incorporated a transitional welcome page, which not only helps to engage users but also orients them to the product in a non-intrusive manner. Going forward, this welcome page will also serve as a dashboard for existing users, providing a centralized location to access and manage their account information.

Furthermore, to direct different target users to tailored pages right from the beginning, we have refined our approach by providing two separate entrances, which minimize the risk of overwhelming or confusing our users with irrelevant information, and ensure that they can easily find the information that they are looking for.

Low fidelity wireflows

Design critique

In order to refine our design, we organized an internal critique session that involved engineers, product managers, and other designers. Following the feedback we received during this session, we were able to quickly conduct the first round of iteration, resulting in several significant improvements to our design:

1. Switching between different identities

What if the user initially enters our product as an investor, but may later transition to an analyst identity?
A toggle switch
is the improvement in response to the two entrances design. To remove users’ concerns and enable them to quickly switch between two different interfaces. This ensures that users can seamlessly transition between identities without experiencing any interruptions in their experience with our product.

Navigation bar - before (left) & after (right)

2. Paving the way for personalization

Based on our research, we discovered that users prefer to see content that aligns with their investment habits. In addition, our company aims to identify our users' needs and deliver content that is relevant and valuable to them. So in-between the sign-in and welcome page, we decided to add a preference collection section to paving the way for future personalization.

Added preference collection page

3. Leveraging Empty State to guide users

The previous welcome page was taken over by a lightbox popup, which was intrusive. In order to empower users, an empty state was added to help users glean product values and actively decide if they want to get educated at this moment.

Welcome page - before (left) and after (right)

4. Help Center - From a page to a side panel

Previously, the help center was an independent page. It is easy for users to lose contexts when they raise questions in one place and search for them in another. In the refined version, “side panel” pattern is more flexible and contextual.

Help center- before (left) and after (right)

Testing & Improvements

Having a refined version of the product, we continued applying the visual language and testing hi-fi prototypes with 6 users and it was encouraging to receive more positive feedback. Based on 3 focused pain points that we’ve got, we did the second round iteration.

1. "I feel confused about the meanings of terms."

Terms used on the product are professional, not universal.
There are some users who are unable to comprehend them due to their lack of knowledge.

Solution: Introduce terms as the first step of each tutorial section, presenting them with texts, illustrations, and examples.

Terms explanation as first step

2. "I don't remember where I came from"

The last version provided instructions with passive voice, which does not encourage actual use.
•  Users didn't realize the elements were clickable, they relied on the next button to move forward.

Solution: Adapt the tone of guides and have users engage in hands-on activities to enhance their memories.

Refined walk-through tour

3. “Hard for me to find what I need in the help center at a glance.”

•  The previous version adopted an expandable menu bar, which was less discoverable.
•  The previous version displayed information only as text, which was not visually straightforward.

Solution: Replace menu bar with visible pattern.

Refined help center

Recap

What am I got?

Collaboration is the key.
Except for brainstorming and critiquing with other designer, I also got opportunities to communicate my design decisions with engineers and product managers, they taught me how to view things from multiple perspectives. Collaborate with team members from different titles and different backgrounds enhanced my communication and tradeoffs abilities.

A great user experience is synonymous with a great first impression.
As the first phase of the user's interaction with the product, onboarding is crucial. In addition to educating users how to use the product, it's also about building up the brand and highlighting the key values of the product. Previously, I had thought onboarding was a general process, nothing special, but through this project, I found there are no one-size-fits-all solutions. Instead, we should always consider the best fit approach for the product.

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