© 2025 RIWON KWON. All rights reserved.
© 2025 RIWON KWON. All rights reserved.
© 2025 RIWON KWON. All rights reserved.
Fitness Challenge Management for Trainers
An administrative platform bridges the gap between the body composition analyzer and the digital trainers' experience, making it simple to run fitness challenges and improve member health.

TEAM
2 UX Design Interns (Me!) 3 AI Engineer Interns 3 Engineers
TIMELINE
Nov 2023 - Jun 2024
PLATFORM
B2B SaaS Web
Fitness Challenge Management for Trainers
An administrative platform bridges the gap between the body composition analyzer and the digital trainers' experience, making it simple to run fitness challenges and improve member health.

TEAM
2 UX Design Interns (Me!) 3 AI Engineer Interns 3 Engineers
TIMELINE
Nov 2023 - Jun 2024
PLATFORM
B2B SaaS Web
Fitness Challenge Management for Trainers
An administrative platform bridges the gap between the body composition analyzer and the digital trainers' experience, making it simple to run fitness challenges and improve member health.

TEAM
2 UX Design Interns (Me!) 3 AI Engineer Interns 3 Engineers
TIMELINE
Nov 2023 - Jun 2024
PLATFORM
B2B SaaS Web
ROLES & CONTRIBUTION
UX Research: Field Observations, Contextual Inquiries, User Interviews, Usability Tests
UX/UI Design: Affinity Diagram, Task Flow, Persona, User Journey Map, Prototyping, QA
ROLES & CONTRIBUTION
UX Research: Field Observations, Contextual Inquiries, User Interviews, Usability Tests
UX/UI Design: Affinity Diagram, Task Flow, Persona, User Journey Map, Prototyping, QA
OVERVIEW
Trainers can efficiently manage fitness challenges using members’ health data automatically synced from body composition analyzers—removing the need for manual input.
[A] lignment: Designed a win-win strategy for @InBody and 30+ fitness centers by aligning trainers’ operational workflows and goals.
[C] ontext: Enabled automated training management and data analysis through seamless integration with body composition devices.
[T] angible: Validated system efficiency and trainer adoption through multiple iterative test rounds.
OVERVIEW
Trainers can efficiently manage fitness challenges using members’ health data automatically synced from body composition analyzers—removing the need for manual input.
[A] lignment: Designed a win-win strategy for @InBody and 30+ fitness centers by aligning trainers’ operational workflows and goals.
[C] ontext: Enabled automated training management and data analysis through seamless integration with body composition devices.
[T] angible: Validated system efficiency and trainer adoption through multiple iterative test rounds.
OVERVIEW
Trainers can efficiently manage fitness challenges using members’ health data automatically synced from body composition analyzers—removing the need for manual input.
[A] lignment: Designed a win-win strategy for @InBody and 30+ fitness centers by aligning trainers’ operational workflows and goals.
[C] ontext: Enabled automated training management and data analysis through seamless integration with body composition devices.
[T] angible: Validated system efficiency and trainer adoption through multiple iterative test rounds.
HEIGHLIGHT IMPACT
This project has expanded to launch after testing MVP version.
HEIGHLIGHT IMPACT
This project has expanded to launch after testing MVP version.
HEIGHLIGHT IMPACT
This project has expanded to launch after testing MVP version.
25%↑
Trainer Adoption
25%↑
Operational Efficiency
2 minutes ↓
Training Creation Process
BACKGROUND
Declining device utilization, anticipated drop in contract renewals
In the SoCal region, 30+ fitness centers adopted body composition analyzers to track members’ physical data and support personal training programs.
However, due to the inconvenience of use and low member engagement, many devices were left idle—raising concerns about a potential decline in renewal rates.
BACKGROUND
Declining device utilization, anticipated drop in contract renewals
In the SoCal region, 30+ fitness centers adopted body composition analyzers to track members’ physical data and support personal training programs.
However, due to the inconvenience of use and low member engagement, many devices were left idle—raising concerns about a potential decline in renewal rates.

No one was using the device..

No one was using the device..

No one was using the device..
Discovery and Research
Contextual Inquiry
Why people don't use the body composition device?
To solve the mystery of the underused device, our team spent three months observing peak hours(6pm-8pm) for 3moths at five SoCal gyms, speaking directly with staff and members.
Barrier to Entry: Low Brand Awareness and Data Illiteracy
The device was a stranger in the U.S.; unlike in Korea, it lacked brand recognition and failed to users a clear reason to engage with it.Unprocessed data created a poor user experience
For the few who tried it, the experience often ended in frustration. Instead of providing actionable insights, the device presented a sheet of raw, intimidating data that left users feeling confused and demotivated.
Discovery and Research
Contextual Inquiry
Why people don't use the body composition device?
To solve the mystery of the underused device, our team spent three months observing peak hours(6pm-8pm) for 3moths at five SoCal gyms, speaking directly with staff and members.
Barrier to Entry: Low Brand Awareness and Data Illiteracy
The device was a stranger in the U.S.; unlike in Korea, it lacked brand recognition and failed to users a clear reason to engage with it.Unprocessed data created a poor user experience
For the few who tried it, the experience often ended in frustration. Instead of providing actionable insights, the device presented a sheet of raw, intimidating data that left users feeling confused and demotivated.






User Interviews
What prevents trainers from using the device's health data?
We found that trainers weren't opposed to using the device; in fact, they sometimes utilized it for running "fitness challenge" The real problem was a critical workflow bottleneck.
However, the system forced trainers into a tedious cycle of manual work.
They had to transcribe members' result into separate sheets or notebooks, inflating their administrative workload by 30%.
“Recording each user’s progress in Excel or a notebook is too much work. There’s no real benefit that makes it worth the hassle.”
User Interviews
What prevents trainers from using the device's health data?
We found that trainers weren't opposed to using the device; in fact, they sometimes utilized it for running "fitness challenge" The real problem was a critical workflow bottleneck.
However, the system forced trainers into a tedious cycle of manual work.
They had to transcribe members' result into separate sheets or notebooks, inflating their administrative workload by 30%.
“Recording each user’s progress in Excel or a notebook is too much work. There’s no real benefit that makes it worth the hassle.”
Journey mapping
To look at how current fitness challenge with InBody device at the gyms
Journey mapping
To look at how current fitness challenge with InBody device at the gyms
Journey mapping
To look at how current fitness challenge with InBody device at the gyms
Register Participants
@Notes
Register Participants
@Notes
Register Participants
@Notes
Schedule Body Scans
@Internal Schedulers
Schedule Body Scans
@Internal Schedulers
Schedule Body Scans
@Internal Schedulers
Conduct Health Analysis
@Inbody Device
Conduct Health Analysis
@Inbody Device
Conduct Health Analysis
@Inbody Device
Log & Calculate Data
@Excel Sheet
Log & Calculate Data
@Excel Sheet
Log & Calculate Data
@Excel Sheet
Display Leaderboard
@Offline Poster
Display Leaderboard
@Offline Poster
Display Leaderboard
@Offline Poster
How might we integrate the body composition analysis into the trainer's natural workflow, making it feel like a benefit rather than a burden?
How might we integrate the body composition analysis into the trainer's natural workflow, making it feel like a benefit rather than a burden?
How might we integrate the body composition analysis into the trainer's natural workflow, making it feel like a benefit rather than a burden?
Ideation
Operational Automation — without manual recording
The initial concept was straightforward: automation.
We synced member data from the device, completely eliminating the manual, error-prone recording and goal tracking process.
But… There is the Adoption Hurdle: Overcoming User Inertia
Convenience alone is a weak motivator against deeply ingrained habits.
This insight sparked a crucial pivot in our thinking. The question evolved from "How can we make this easier?" to a more powerful one: "How can we make this more rewarding?"
How can we make this more rewarding?
The goal was to create an experience that was not just useful, but one that provided trainers with a tangible sense of professional achievement and progress, making them want to engage.
Design
Driving Engagement Through Gamification
To combat trainer inertia and boost adoption, I designed a dashboard visualizing trainer's direct impact on member success through a ranking system, creating a powerful feedback loop that fosters engagement and sustained use.

AI-Powered Challenge Creation
Partnering with the AI team, I designed an LLM-powered generator that recommends optimal challenge parameters (duration, metrics, frequency), eliminating the high-friction, error-prone manual setup.
This empowers trainers to launch structured and effective programs in seconds.
Beyond Administration: Strategic Program Dashboards
This dashboard transforms trainers from operators into strategists by visualizing key success drivers—like top formats and participation trends—in clear charts and rankings.
This empowers them to move beyond daily administration, giving them the data-backed insights needed to directly optimize programs and boost member engagement.

Enabling Proactive Coaching
The core of the trainer's view is a dashboard that visualizes each member's progress. It integrates historical health data with live challenge performance, creating an environment where trainers can immediately identify and respond to a member's needs.

Design
Driving Engagement Through Gamification
To combat trainer inertia and boost adoption, I designed a dashboard visualizing trainer's direct impact on member success through a ranking system, creating a powerful feedback loop that fosters engagement and sustained use.

AI-Powered Challenge Creation
Partnering with the AI team, I designed an LLM-powered generator that recommends optimal challenge parameters (duration, metrics, frequency), eliminating the high-friction, error-prone manual setup.
This empowers trainers to launch structured and effective programs in seconds.
Beyond Administration: Strategic Program Dashboards
This dashboard transforms trainers from operators into strategists by visualizing key success drivers—like top formats and participation trends—in clear charts and rankings.
This empowers them to move beyond daily administration, giving them the data-backed insights needed to directly optimize programs and boost member engagement.

Enabling Proactive Coaching
The core of the trainer's view is a dashboard that visualizes each member's progress. It integrates historical health data with live challenge performance, creating an environment where trainers can immediately identify and respond to a member's needs.

Lesson Learned
Balancing Freedom with Guidance
Initially, the LLM feature prioritized complete user autonomy, but this led to frequent errors and incomplete data as users struggled without a clear path. I learned that for a system to be truly usable, freedom must be balanced with thoughtful constraints.
Designing Beyond the 'One-Size-Fits-All' MVP
Our MVP dashboard was designed for a limited group of trainers, focusing only on core metrics we assumed were important, such as body composition change. Future iterations must empower users with more data options and the ability to configure their own personalized dashboards.
Lesson Learned
Balancing Freedom with Guidance
Initially, the LLM feature prioritized complete user autonomy, but this led to frequent errors and incomplete data as users struggled without a clear path. I learned that for a system to be truly usable, freedom must be balanced with thoughtful constraints.
Designing Beyond the 'One-Size-Fits-All' MVP
Our MVP dashboard was designed for a limited group of trainers, focusing only on core metrics we assumed were important, such as body composition change. Future iterations must empower users with more data options and the ability to configure their own personalized dashboards.

