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SPURT EXPERT APP

From solving everyday problems to tackling life dreams - talk to an expert

Overview

Role

As a student of CareerFoundry, I performed project-based assignments including the Spurt Expert App.

 

The objective was to create an app that enabled anyone, anywhere to instantly chat with an expert in virtually any field.​

Product Designer

UX researcher, designer, and tester 

Jan - Apr 2022

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THE CHALLENGE

Using a competitive analysis in partnership with the double-diamond strategy I was able to understand the issues facing users, determine a problem statement and pinpoint potential solutions that are representative of the audience.

"Our expert app users need a way to [quickly connect with affordable, skill-specific individual experts] because [they wish to receive advice about a particular situation/problem in a safe and non-committal way ]."

​

We will know this to be true when we see [how often experts are successfully booked by users who have downloaded the app].

The best solution is to design to a sleek and simple app that is free to access. The app offers users a variety of well-categorized available experts that can provide specific advice to user questions via short video-sessions that the user can safely receive and pay for individually. The app must abide by project requirements including: ​​

Onboarding Screen​

Sign Up/Login Screen

Home Screen

Menu/Navigation

A way to browse experts

User/Payment Settings

Expert Categories

Individual Expert Profile

Payment Portal

Transaction History

System for becoming/acquiring experts, managing expert profile and receiving payments.

RESEARCH

METHODS

INTERVIEWS

The semi-structured user interview approach was helpful to me during the early stages of the project and allowed me to dig more deeply into users wants and needs. I could also gauge a sense of body language, attitude, and emotional responses.

​

SURVEYS

.I decided to create a short, straightforward survey to create a framework for potential user behavior prior to performing user interviews to help shape interview questions. I find surveys to be a fast, inexpensive, and flexible way of gathering a large amount of information around what users may actually do, and how they think or feel about a certain idea or action.

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SURVEY RESULTS

View my survey questions and results here.​

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Although less than 20 volunteers participated in the survey, I was able to construct more apt interview questions based off findings such as generally people tend to look online and search Google when they need information or advice, and that often they find what they're looking for but that it can be tedious or unreliable to search through results. I also gathered that people typically look for advice on a fairly regular basis for a variety of reasons, with all agreeing having expert advice at one point may have been helpful.

INTERVIEW RESULTS

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1

More clearly define the motivations and challenges facing users looking for advice in a wide variety of areas​

2

Define what users like/dislike about the resources they use to find advise

3

Better understand user opinions and behaviors towards paying for expert advise

4

Clarify paint-points and valuable features to users when looking for advise

  1. Users seem generally open to advice. 

  2. Quickness, ease of access and understanding are highly valued by users. 

  3. Concise, organized advice are preferred by users. 

  4. Users value credentials and expertise for certain advice and real, 'lived' experience for other advice. 

  5. Users are generally comfortable or prefer video chatting for certain advice.

6. Users finding advice online limiting sometimes. 

7. Users struggle with trust when looking for advice online. 

8. Users struggle to find quality, niche advice with ease. 

9. Users value both advice both as validation and when starting something new. 

10. Users are willing to pay for advice conditionally. 

PROCESS

INTERVIEW GOALS

  • More clearly define the motivations and challenges facing users looking for advice in a wide variety of areas

  • Define what users like/dislike about the resources they use to find advise

  • Better understand user opinions and behaviors towards paying for expert advise

  • Clarify paint-points and valuable features to users when looking for advise

SURVEY GOALS

  • Determine a baseline of demographics for potential users

  • Learn where and why users look for advise

  • Learn about what tools users utilize to look for and receive advice

  • Gauge initial interest in paying for expert advice

PERSONA CONSTRUCTION

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Frustrations: Not knowing where to find tailored advice for her situation, feeling overwhelmed by information, time-consuming task of finding qualified help.

Motivations: Growing her business, spending time with her boyfriend, and saving more money.

Margot

Age: 33

Job: Jewelry-Maker/Vendor

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Frustrations: Doesn't know where to start when looking for advice, doesn't know if her ideas will work and seeks validation.

Motivations: Having a beautiful place to care for and escape to, trying new activities, work-life balance.

Nora

Age: 54

Job: Part-time Nurse

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Frustrations: Not being able to find or spending too much time looking for specific resources, not being able to bounce ideas off someone in his field

Motivations: Improving learning experiences for students
Helping his soccer and tennis teams go to regionals
More free time to spend with family

Age: 28

Job: Teacher

Finn

USER FLOWS

NORA FLOW 1

User Goal: Get actionable landscaping ideas for her garden

​

Entry Point: Open App

 

Success Criteria: She knows the right plants for her yard and where/how to landscape them

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FINN FLOW 1

User Goal: Find a quality source of advice and resources for his specialty teaching needs

​

Entry Point: Open App

​

Success Criteria: Finn was able to get advice and resources that fit his students needs for the upcoming school year

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NORA FLOW 2

User Goal: Follow up with her Gardening expert about her progress and any other questions she might have


Entry Point: Open App


Success Criteria: She quickly and concisely follows up with her Gardening expert

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PROTOTYPE DEVELOPMENT

USER RESEARCH

LIMITED FEATURES

DESIGN FLOW

LOW FIDELITY INSIGHTS

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MID FIDELITY INSIGHTS

I cleaned up a lot of ambitious guess-work in my original low-fidelity feature designs. Here, I more clearly visualized actual interactions, and transitions associated with user-actions and how best to organize, display, and streamline those features in a straightforward interface.

USER TESTING

Session Details

  • Duration between 15-30 minutes

  • 3 sessions conducted in-person

  • 3 sessions conducted remotely via Zoom

  • Participants all tested the Spurt Mobile App prototype

6 Participants

  • Each signed a consent and release form

  • Each participant was asked to perform 6 tasks and asked a series of open-ended questions for each

ANALYSIS

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AFFINITY MAPPING

After performing user tests I created an affinity map to organize behaviors and attitudes exhibited, needs or goals, and any frustrations, errors they encountered. 

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Overall, users appeared excited about using/exploring the app but revealed a number of themes where errors and confusion occurred that helped drive actionable changes to improve the user experience.​ This includes changes such as prioritizing the schedule/credentials on the expert profile page. 

RAINBOW
SPREADSHEET

I utilized the Rainbow Spreadsheet method as a way to organize and measure user test results and better quantify how quickly tasks were accomplished, paired with qualitative user quotes and behaviors to create a synthesized approach to iterating and improving the design.

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View tester details, results, and metrics

A/B TESTING

Session Details

  • Duration 15-60 seconds

  • Unmoderated remote sessions 

  • Participants tested 2 versions of a single screen of the Spurt Mobile App prototype

​12 volunteers

  • The results provided insight into what users typically find to be clearer and easier to understand in order to complete tasks.

Screen-to-Screen Comparison

The Expert Profile page was tested with slight tweaks on the Expert Profile info tabs design.

 

The results provided insight into what users typically view as a cleaner visual design while still being able to get the information they're looking for with ease

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Version 1

Version 2

Version 1

24%

Version 1

76%

HI-FIDELITY
DEVELOPMENT

In my final iterations I altered the design and arrangement of a number of elements to be clearer and easier to identify or click. I also cleaned up the over all color schemes and contrast of elements to distinguish important features and prioritize what is most important to the user. I also fine-tuned interaction designs to perform cleaner transitions between actions and pages.

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FINALIZATION

Interaction
Design

Further Testing

Active
Prototype

Browse the active prototype to explore the features, interaction design, and overall user experience here.

Organization & Hand-Off

Part of this project was organizing project assets, creating design and pattern libraries in a way that makes hand-off to development teams seamless. 

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Browse these files here.

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TOOLS & METHODS

Design & Testing

Adobe XD

Figma

Balsalmiq

Zoom
 

Rapid prototyping

Affinity Mapping

Moderated User Testing

A/B Testing

Unmoderated Collaborative Review

Research

Zoom 

Google Sheets

Lucid Chart

Google Surveys

Optimal Workshop
 

Competitive Analysis

User Interviews

User Surveys

Card sorts

Users Personas, Journeys, & Flows

Write

aubreyammaloney@

gmail.com

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