End-to-end app

  • Role: UX/UI designer

  • Industry: skincare and beauty

  • Duration: 12 weeks

  • Tools: Figma, Miro, Illustrator and Photoshop

In recent years, skincare has evolved from a simple routine into a widely popular form of self-care, especially among younger audiences. Social media platforms like Instagram and TikTok are flooded with product reviews, tutorials, and ingredient deep-dives, sparking curiosity but also overwhelming many users.

Despite this boom, most people (especially beginners) struggle to build a consistent routine. The abundance of advice creates confusion, doubt, and wasted money on products that don’t work for them. A 2023 survey by Mintel revealed that over 70% of skincare users feel unsure about which products are right for their skin type.

01/ Main task & challenges

Problem statement

How might we use AI to create a skincare mobile-app that simplifies information, delivers personalized guidance, and helps users confidently build routines tailored to their needs?

Business goals

Increase product conversion and long-term engagement, build trust through a helpful, intuitive experience and gather user insights to improve recommendations.

The users

Skincare users seeking simple, personalized routines. They want clear guidance, trustworthy recommendations, and help understanding how to use products correctly.

The solution

An end-to-end mobile app powered by AI that scans the user’s face to analyze skin conditions, recommends personalized skincare routines, and adapts over time. Glow Guide simplifies product choices, offers guided support, and builds user confidence through tailored, data-driven recommendations based on real-time skin analysis.

Research process

To truly understand the skincare experience from a user’s perspective, I conducted qualitative research combining:

  • Competitor analysis

  • 5 in-depth user interviews, ranging from complete beginners to experienced skincare users

These interviews revealed several recurring themes and helped uncover pain points, motivations and habits that shape how people care for their skin.

01. Simplicity is key

Users are looking for a basic but effective daily routine, not a 10-step ritual.

02. Top concerns

Hydration, signs of aging, dark spots, and breakouts were common pain points from a skincare perspective

03. Credibility matters

Dermatologists and professionals are highly trusted. Social media not so much.

04. Guidance over complexity

Users feel overwhelmed by too much information and conflicting product recommendations. They crave personalized, expert-backed support in one clear, easy-to-use platform.

05. AI is welcome

Users showed enthusiasm for an AI-powered app that could suggest personalized routines, explain ingredients in simple terms and track progress over time

02. Smart Routine Builder

Based on the scan results, users receive a daily skincare routine with product recommendations that match their specific needs—no guesswork required.

04. Education Hub

A content-rich space offering dermatologist tips, articles, tutorials, and ingredient guides—designed to make skincare accessible, trustworthy, and easy to understand.

Core app features

To address the main challenges users face when navigating the world of skincare—information overload, product confusion, and lack of personalized advice—I focused on a set of core features designed to provide clarity, simplicity, and tailored support. Each one is built to help users feel confident, informed, and empowered in their skincare journey.

01. Face scan and quiz

Users complete a simple face scan and short skin quiz to generate a personalized routine tailored to their skin type, concerns, and goals.

03. Progress Dashboard

A visual dashboard helps users track changes in their skin over time and see how their routine is working, encouraging consistency and reflection.

02. NICE TO HAVE

  • User reviews: show reviews from real users filtered by skin type and concerns, helping to make informed decisions

  • Routine reminders: remind users to follow their daily skincare routine.

  • Seamless E-commerce integration: allow users to purchase recommended products directly from the app

  • Reapplication tracker: track product shelf life and remind users when to replace or reapply products

  • Ingredient compatibility checker: check product compatibility to prevent mixing ingredients that could irritate the skin

  • Multilingual support: support for multiple languages to cater to global users.

Feature set

01. MUST HAVES

  • AI-powered skin analysis: analyze the user's skin from a picture (selfie, video)

  • Log in / sign up

  • User profile: save and edit personal info, preferences, allergies, routine history, etc

  • Onboarding flow: skin type quiz or onboarding questions to personalize the experience

  • Custom routine builder: create personalized skincare routines based on the user's skin type and needs.

    Educational content and expert tips: provide accessible, easy-to-understand explanations from dermatologists and skincare professionalsE-commerce links or in-app purchase integration

  • Smart product suggestions: suggest personalized products based on the skin analysis and user preferences.

  • Progress tracking: track the user’s progress over time with photos or notes

User personas

I used affinity mapping to group user insights and uncover recurring themes. These patterns allowed me to define three primary user personas, each representing a key segment of the skincare audience:

Persona 1. Young and impulsive, she loves trying the latest skincare trends—especially if they’re aesthetically pleasing. While drawn to what's popular, she still wants simple, easy-to-follow routines.

Persona 2. Focused on results, he looks for effective, science-backed products. He prefers a straightforward routine and values function over branding or packaging.

Persona 3. A middle-aged user loyal to trusted brands. She’s cautious about trying new products and seeks clear, reliable guidance backed by experts.

Information architecture

Using the personas as anchors, I mapped the core user flows, focusing on solving real problems having in mind the key features

Design

With a clear vision of user needs and app flows, I stepped into the design phase.

01.

Hand-drawn sketches

Branding

02.

Low-fidelity wireframes

03.

Visual design & brand identity

04.

High-fidelity wireframes

05.

User testing and iteration

Once the layout was defined, I developed a brand identity that reflects the product’s mission: to offer clear, supportive, and trustworthy guidance, just like a reliable skincare routine. I built a modern and approachable visual system, choosing a pastel blue as the primary color to convey calmness, freshness, and confidence, values often associated with self-care and well-being.

For typography, I selected two complementary fonts: a bold and modern primary typeface to bring personality and strength to the brand, paired with a softer, highly legible secondary font to maintain a friendly and professional tone. The combination of soft colors, rounded UI elements, and contemporary typography creates a design that appeals to a younger audience without losing credibility, much like skincare products that are both trendy and trustworthy.

Usability testing & iteration

To evaluate the usability of the app, I conducted moderated testing sessions with five users. Each participant was guided through key tasks:

  1. Completing a facial scan and answering onboarding questions

  2. Browsing the suggested routine and adding it to their profile

  3. Browsing though the discover and resources section

Key findings & design improvements

Based on feedback, I made several key changes:

  • Improved navigation between screens for smoother flow

  • Added product tags like “vegan” or “for sensitive skin” to help users filter options more easily

  • Included more detailed explanations for each recommended product to help users understand why it fits their skin

  • Refined visual elements like toggles to improve clarity

The testing process confirmed that Glow Guide was intuitive, helpful, and engaging for users across experience levels. It also helped ensure the app aligned with user expectations and genuinely solved their pain points.

03/ Improved visual elements

Participants mentioned a lack of key details in mentor and group profiles.
I enriched these sections with schedules, ratings, specializations, and bios, giving users the context they need to choose confidently.

02/ Added tags for produtcts

01/ Included more information about products

Users found it difficult to enter their location each time they opened the app.

Set the current location as default allowed users to immediately see nearby groups and mentors, streamlining the experience.

Users had trouble visualizing where each group or mentor was located.
I introduced a map view, showing nearby options and enabling better decision-making based on location and availability.

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