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Glam Guide

A beauty companion app revolutionizing how users discover aesthetic
services and beauty consultants.

UX Research

User & Stakeholder Interviews, User
Research, Competitive Analysis

UX Design

Wireframes, Site Mapping, Design System,
Interaction Design, Usability Testing

Tools

Figma, Figjam, UserTesting.com

Duration

14 Weeks
UT Tower

35%

Improved Onboarding Process

40%

Increase in User Retention

90%

Increase in Time Spent on Website

Problem Statement

Five girls meet up. Different ages, different backgrounds. What do they talk about? Everything under the sun. But there’s one thing they all agree on: the sheer frustration of not having a one-stop shop for all their beauty needs. It’s the one area where recommendations are gold, reviews are gospel, and community support is everything. They dream of a place where they can see real journeys tackling those pesky beauty monsters.

How might we create a fun, reliable, and engaging end-to-end aesthetic treatment experience for beauty-conscious users?

Objective

After chatting with a few users, we realized that everyone loves personalized recommendations, especially when it comes to the nightmare of finding trustworthy beauty resources in a city as eclectic as Austin. So, we decided to let AI take center stage. Plus, we added a community-based feature to boost trust and reliability. Because, after all, nothing says "I got you" like a bunch of strangers validating your beauty choices!

Solution

The final product successfully combined the business and customer goals to give delightful features. Overall it was characterized by: 

  1. User finishes onboarding process

  1. User selects their beauty care services

  1. User schedules the appointment

  1. User provides feedback after the service

  1. User receives rewards for leaving reviews

Prototype- features

  1. Courier Services

    1. We use existing delivery options because they handle a large number of parcels going into urban areas.Various shipping companies send their trucks to Toyota microhubs for last-mile deliveries.Each truck is assigned parcels for specific neighborhoods.Trucks go to the microhub for which they have the most parcels.Priority is given based on the number of parcels. For example, if a truck has 10 parcels, 4 for microhub 1 and 6 for microhub 2, it will go to microhub 2 because it has more parcels.

  2. Toyota’s Micro Hubs

    1. Once the packages from the trucks reach their microhubs, they will be unloaded using an automated conveyor belt. The belt has barcode scanners to get delivery details and automatically segregate packages.Packages meant for other microhubs will be separated out. These packages will be sent to their correct microhubs using drones. If packages are too heavy, they will be transported by an electric van.Microhubs will also handle returns, which can be auctioned directly to customers.

  3. Delivery Vans

    1. The packages sorted in microhubs will be assigned to different electric van drivers automatically via our app.The drivers will then proceed with deliveries in a particular neighborhood covered by that microhub.Our app will fetch the list of deliveries assigned to the driver and calculate an optimized route, updating it in real-time based on different situations and driving patterns.These details will be visible to Toyota personnel via our connected app, where they can see detailed analytics on these deliveries.Based on the delivery analytics, Toyota can reconsider resource allocation. For example, if one neighborhood has few deliveries over a long time and another has a high volume, Toyota can decide to use drones or two-wheelers for the former and allocate more vans to the latter.

  4. App Demo

    Here’s the prototype for the Driver’s app and the Toyota Dashboard. Video.

Wanna know how!?

The ideation was based on extensive consumer and demographic research across European countries. Our research covered:

  1. Analyzing current delivery systems and popular parcel services.

  2. Conducting user interviews to grasp shopping habits and views on delivery.

  3. Investigating different electric vehicle options as substitutes.

  4. Using keywords to improve our understanding of the logistics system, helping our research.

Flowchart

Image.

App Design

Image.

Learning

  1. Incorporated design thinking principles to propose innovative solutions for the Toyota Logistic Design Competition, demonstrating the ability to think creatively and understand complex challenges like last-mile delivery logistics faster.

  2. Conducted research to gain insights into the specific challenges faced in European countries regarding last-mile delivery, informing the development of strategic and impactful design concepts.

  3. Utilized prototyping tools like Figma to create interactive prototypes, allowing for the visualization and validation of design concepts and facilitating feedback for iteration.

  4. Collaborated with team members to develop a comprehensive delivery system concept that integrates seamlessly with existing infrastructure, offering solutions to multiple potential difficulties that may arise in the last-mile delivery process.

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Designed w/ lots of patience by Manal Shah :)