Summary

Sevena is an app that aims to make personalized beauty inspiration and education more accessible β€” bridging the gap between static online content (like YouTube tutorials) and in-person classes.

Clients
GloryMakeup Inc.
Timeframe
2024 β€” Current
Role
Lead Product Designer
Contribution
Visual Design, User Experience, User Research

Providing customized, digital makeup experiences.

Introducing Sevena App

On Sevena, we share curated beauty content that is tailored to each user and let users try on virtual makeup looks. Users can explore their personal style and learn personalized makeup techniques from top makeup artists.

Target Audience

Beauty enthusiast
Beauty Enthusiasts

Want step-by-step guidance from professionals, tailored to their own style and features.

Makeup artist
Makeup Artists

Want a platform to share expertise, reach new clients, and earn additional income.

Sevena Makeup Box keeps track of the makeup products that users own and want. Makeup artists can examine each student's makeup box to personalize makeup lessons. Color Match helps users find products related to the colors they're interested in. Together, these two core features make styling easier and the discovery of beauty products funner.

Connecting with a Makeup Artist Live 1-1

We connect beauty enthusiasts with professional makeup artists through interactive, live tutorial calls. By focusing on real-time guidance, Sevena empowers users to learn techniques tailored to their personal style and unique facial features β€” skin type, skin tone, and lip shape.

Testing to understand our target audience.

About the test
7Participants

Passionate about beauty & styling

2User Groups

3 makeup artists
4 beauty enthusiasts

4Core Tasks

Based on the key features on Sevena

17Insights

Facilitated design improvements

Research Goals

Context

Before running the usability tests, I defined four research goals to guide what I needed to learn from both makeup artists and beauty enthusiasts. These goals shaped the tasks and questions used throughout testing, ensuring each testing session surfaced insights me and my team could act on.

Evaluate core task flows

Identify friction in the primary user journeys: adding products to Makeup Box, scanning colors, setting up a Facial Feature Profile, and connecting with a Sevena PRO.

Find language & discoverability gaps

Understand where copy and labels fall short of users' mental models β€” especially around novel concepts and feature naming.

Validate the personalization value proposition

Confirm whether makeup artists and students find facial feature data and makeup products owned genuinely useful in a live session.

Identify trust & retention drivers

Understand what would bring users back regularly, and what concerns might prevent initial adoption.

Thoughts of Makeup Artists

Pre-Test Insights

Makeup artists approached the online teaching experience through professional lenses. To them, understanding each client deeply and having the right information on hand before sessions begin help them deliver personalized, high-quality lessons.

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Crucial to understand client needs

Ask about skin routines, skin conditions, preferred colors and styles.

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Online teaching challenges

Teaching posture and hand-motion techniques remotely is very tricky β€” no in-person nuances or real-time physical guidance.

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Pre-session data is very helpful

Learning objectives, preferred session format, facial features, and makeup products owned.

β€œUnique facial feature information greatly helps makeup artists personalize lessons for their students.”

Makeup Artist Participant

Thoughts of Makeup Students

Pre-Test Insights

Makeup students approached the online learning experience with curiosity and a desire for guidance that felt personal to them. All of them thought that real-time feedback from makeup artists they looked up to was invaluable.

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How students learn makeup

Short videos on content-sharing platforms like Instagram, TikTok, YouTube β€” and friends.

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Personalization is highly valuable

Especially styling and color advice tailored to unique facial features and complexion.

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How trust in makeup artists is built

Good reputation & aesthetic match; credentials β€” years of experience, certifications, portfolio style.

β€œColor scanner is so innovative! It intrigues me.”

Makeup Student Participant

β€œBeing able to link visuals that you like to help makeup artists understand your tastes is a clear differentiator.”

Makeup Student Participant

What we changed, and why it mattered.

Test Insights

On Sevena, we share curated beauty content that is tailored to each user and let users try on virtual makeup looks. Users can explore their personal style and learn personalized makeup techniques from top makeup artists.

Making search more intuitive

Repositioning and restructuring the search filter helps users find the specific makeup categories they're interested in right away. Grouping products by the area of the face they're typically associated with helps users search more easily.

Before and after: accessible search filter
Before and after: filter categorization

Conveying our services clearly

Since transient toasts were universally missed, snackbars with confirmation buttons ensure users absorb key guidance. Rewording SevenaPRO to Live 1-1 clears up confusion.

Before and after: SevenaPRO to Live 1-1
Before and after: preparation reminders

Preparation reminders reduce friction

Many makeup students were uncertain how to position themselves for an online lesson. "Get Ready" screens mentally prepare students and improve session quality for both sides.

Visual mapping improves understanding

Facial features mapped onto users' faces helps makeup artists more rapidly digest their students' data.

Before and after: visual mapping of facial features

Opportunities raised by users

Potential features

Beyond the changes we shipped, testing surfaced a few recurring requests that point to where Sevena could go next. Each opportunity below reflects a specific need participants voiced, from building trust with new users to giving them more control over how they book and learn.

Free Introductory 15-Min Session

The biggest motivator to try Sevena's Live 1-1 β€” directly addressing the "too new to trust" concern and lowering the barrier to first-time adoption.

Advanced Session Booking

Two booking modes to serve both spontaneous and deliberate users.

  • Connect Now allows users to jump into live 1-1 sessions immediately
  • Book in Advance gives artists and students preparation time.

Learning Style Preference

Let students declare their preferred learning mode upfront so artists can tailor the session structure from the start.

  • Passive provides observational, guided demonstrations
  • Active provides hands-on, interactive, step-by-step practices

Showcasing the Sevena makeup experience

Live Demo

After months of hard work, my team and I excitedly launched the initial version of Sevena in December 2025. We showcased the app at the WTRP Award Event β€” where makeup artists applied beautiful makeup on Taiwan's #1 athletes, who had the opportunity to try out the app and shine on stage.

WTRP Award event
WTRP Award event
WTRP Award event
WTRP Award event
WTRP Award event
WTRP Award event
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