Mentr

Mentr is an app that connects users to trusted experts around the world, around the clock.

Project Scope

End-to-end UX & UI Design Process

End-to-end UX & UI Design Process

My Role

UX/UI Designer

UX/UI Designer

Team

Solo

Solo

Tools

Figma, Google Meets, Google Forms, Optimal Workshop

Figma, Google Meets, Google Forms, Optimal Workshop

Project Scope

End-to-end UX & UI Design Process

My Role

UX/UI Designer

Team

Solo

Tools

Figma, Google Meets, Google Forms, Optimal Workshop

Hero image showing flat lay of iphones in a diagonal layout

Project Overview

As the main focus of my comprehensive UX Immersion bootcamp, Mentr is an app that aims to revolutionize learning by connecting users with experts across diverse fields, offering real-time insights and trusted advice.

Context

In our current digital age, information is always at our fingertips. However, discerning what's credible and what's not is a continuously evolving challenge for users amidst the ever-growing mountain of data and information.

Mentr logo

The Problem

Users need a way to get trusted answers to any question or problem, big or small, across a wide range of topics from credible sources, because they want quick, accurate, and evidence-based information.

The Problem

Users need a way to get trusted answers to any question or problem, big or small, across a wide range of topics from credible sources, because they want quick, accurate, and evidence-based information.

The Solution

We will know this to be true when users come to Mentr to seek out answers to questions across a variety of topics and consistently return to the app to seek advice about subjects beyond their scope of knowledge.

Understand & Define

Competitor Research

To better understand the problem space in which I would be working, and to identify opportunities as a new app within this space, I performed a competitive analysis for two competitors in the ask-an-expert market.

Conclusions:

Mentr can stand apart from market competition by offering the following:

  • Individualized 1-on-1 sessions, focusing on the potential to form ongoing mentor-mentee relationships.

  • A way to verify expertise.

  • A modernized and transparent platform/interface across devices.

  • Personalized features to enhance and expand engagement.

Competitor Research

To better understand the problem space in which I would be working, and to identify opportunities as a new app within this space, I performed a competitive analysis for two competitors in the ask-an-expert market.

Conclusions:

Mentr can stand apart from market competition by offering the following:

  • Individualized 1-on-1 sessions, focusing on the potential to form ongoing mentor-mentee relationships.

  • A way to verify expertise.

  • A modernized and transparent platform/interface across devices.

  • Personalized features to enhance and expand engagement.

SWOT analysis chart

User Research

After analyzing the competition, I focused on understanding my audience. I conducted surveys and interviews with potential users to create personas that would guide my design decisions.

Research Goals

1. Determine confidence
  • Determine how confident users are in finding trustworthy and credible information with the current tools available.

2. Define "expertise"
  • Understand how users define "expertise," and criteria needed to trust a source.

3. Understand context
  • Understand the context of use.

  • Determine the most useful vs. least useful features.

User Surveys

I built an online survey consisting of a mix of 11 open-ended and multiple choice questions. Through the 33 responses I received, I gained insight into the following about my users.

  • Target demographics

  • Previous experience with ask-an-expert type services

  • Factors contributing to perceived "expertise"

User Surveys

I built an online survey consisting of a mix of 11 open-ended and multiple choice questions. Through the 33 responses I received, I gained insight into the following about my users.

  • Target demographics

  • Previous experience with ask-an-expert type services

  • Factors contributing to perceived "expertise"

User Interviews

I then conducted more in-depth user interviews with 4 participants to gain additional insight into what I had learned from my survey.

Interviews consisted of 10 questions and spanned about 20-30 minutes each.

Results were aggregated, organized, and analyzed to make sense of the findings.

Infographic of 4 participants with basic info

Analyzing the Data

Through affinity mapping, I sorted through my data points, looking for common themes, pain points, and feelings from which I drew the following key insights:

1. Experience + Qualifications = Expertise
  • Verifying expertise is crucial to establishing credibility.


2. Too many options = Choice paralysis
  • Choice paralysis impedes decision-making. Effective filters can help to reduce cognitive load.


3. Reviews are valuable
  • Users value reviews & recommendations from other users to aid in decision-making.


4. Give opportunities to explore & discover
  • Users appreciate opportunities to learn about new topics and discover new interests through personalized content suggestions and discussion platforms

1. Experience + Qualifications = Expertise
  • Verifying expertise is crucial to establishing credibility.


2. Too many options = Choice paralysis
  • Choice paralysis impedes decision-making. Effective filters can help to reduce cognitive load.


3. Reviews are valuable
  • Users value reviews & recommendations from other users to aid in decision-making.


4. Give opportunities to explore & discover
  • Users appreciate opportunities to learn about new topics and discover new interests through personalized content suggestions and discussion platforms

Sticky notes with participant quotes

For a closer look at my affinity map, click here!

Empathizing with the User

User Persona

I used my research insights to help shape my user persona, Ella, who represents my target user's goals, needs, and behaviors.

Image of user persona with demographics, general info, goals, motivations, pain points, etc

Ideation

User Journey

Using what I knew about Ella's goals, pain points, and motivations, I created a user journey map to better visualize the process of how she would accomplish her goals using the Mentr app.

User journey map

User Flows

After mapping Ella's journey, I created user flows to visualize how she'd complete key tasks within the app. This helped me streamline each flow and remove unnecessary obstacles before moving into design.

2 user flow charts

Initial Sitemap & Card Sorting

Using my flows, I created a sitemap with 4 main categories.To validate this structure, I ran an open card sort with 6 participants who grouped 28 cards into categories that made sense to them.

First iteration of sitemap

Findings

The card sort revealed that participants created 37 categories total, with a median of 5 categories each:

  • 50% created 5 categories

  • 17% created 6 categories

  • 17% created 7 categories

  • 17% created 9 categories

This revealed to me that users expected at least 5 main categories, rather than the 4 I'd initially planned. I updated the sitemap to reflect this.

Click here to read about my card sort in more detail.

Revised Sitemap

In addition to increasing my categories from 4 to 5, the card sort also informed smaller revisions: renaming "Mentrs" to "Find a Mentr," expanding "My Favorites," and moving "Past Sessions" to the Calendar section.

Final iteration of sitemap

Wireframing & Prototyping

Low-Fidelity Wireframes

With the structure in place, I sketched low-fidelity wireframes to quickly explore ideas. I kept details minimal at this stage to focus on the big picture. Below are early sketches of the Dashboard, Find a Mentr page, and Calendar.

Low-fidelity wireframes of 3 screens

Mid-Fidelity Wireframes & Prototype

After selecting the strongest concepts, I translated the sketches into a mid-fidelity Figma prototype, focusing on 3 features: Favorites, Review a Mentr, and the Discussion Forum. Check out the gallery below!

Testing & Iterating

Usability Testing

With the initial clickable prototype ready, I began user testing with two goals:

  1. Assess how easily users navigate and understand Mentr's core functions

  2. Identify pain points and improvement opportunities

Testing Details

I conducted moderated remote sessions via Google Meets with 6 participants from Mentr's target audience. Each session included a brief introduction, usability test tasks, and a debrief, with recordings made with participant consent.

Findings: Issues & Solutions

Through affinity mapping and rainbow spreadsheet analysis, I identified necessary changes to information architecture and minor refinements to iconography and terminology. Below are the 2 highest-priority issues and solutions.

Image of key issue #1 and 3 corresponding screens
Image of key issue #2 and 2 corresponding screens

Check out the full design system below!

UI & Visual Design

With usability issues addressed, I moved to high-fidelity design. I ran preference tests to establish the visual direction and avoid potential redesigns down the line.

Preference Testing

I created 2 versions of the splash screen and onboarding sequence, then tested them with 15 participants each via UsabilityHub. Check out the results below!

2 versions of Mentr splash screen, with percentage of participants preferring each
2 versions of onboarding screens, with percentage of participants preferring each

Developing a Design Language System

With preference test results in hand, I had a solid foundation for designing the remaining high-fidelity screens. I developed a color palette based on emotional design principles, refined UI elements using established design system guidelines (like Material Design), and created a design language that evolved throughout the process.

Preview image of design system document
Check out the full design system below!

High-Fidelity Prototype & Collaboration

As my designs evolved, I sought feedback from other perspectives. I shared my work with 5 UX design students via Slack, exchanging critiques on each other's projects.

This peer review helped me spot issues I'd become blind to as the sole designer. It was also valuable practice in defending design decisions, learning when to implement feedback and when to stand by my choices based on project goals and user needs.

Below are key design decisions and the reasoning behind them.

Accepted Feedback & Revisions

Rejected Feedback & Rationale

Designing for Accessibility

My background as a speech pathologist taught me how crucial accessibility is for everyday products, both physical and digital. As I learned the Web Content Accessibility Guidelines (WCAG), I identified ways to improve Mentr's inclusivity. Below are preliminary accessibility improvements, with plans for deeper analysis and more comprehensive updates in future iterations.

High-Fidelity

Clickable Prototype

Click below to experience the full Mentr prototype for yourself in Figma

Future Directions

After a year of learning UX principles and applying them to Mentr, there's still more work ahead. As I continue growing as a designer, here are my next steps:

1. Design & Refine
  • Complete secondary screens and user flows

  • Expand accessibility features and higher-level functionality

  • Polish overall design

2. Test & Analyze
  • Conduct a second round of usability testing focused on UI, micro-interactions, and accessibility

  • Analyze and organize findings

3. Implement
  • Apply insights from testing

  • Integrate changes into the high-fidelity prototype

4. Expand
  • Create a companion app for mentors

Learnings & Reflections

Designing Mentr from the ground up has been invaluable to my growth as a UX designer. I've learned to balance user needs with innovative solutions, aesthetics with functionality, and above all, the importance of empathy in design. These skills will serve as a foundation as I continue developing my practice.

Thank you for reading my case study!

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