myoact app
Product Design · HealthTech · Cross-platform Tablet App
UX strategy, research, wireframing, usability testing, UI, design system
Services
Client
myoact (Germany)
Timeline
Apr 2023 - Present
Design Team
Product Designer
About the client
Context
myoact is a pioneering company specializing in electromyography (EMG) technology. As highly sought-after partners in professional sports and rehabilitation, they bring expertise backed by over 50,000 successful measurements.
Project overview
myoact app uses EMG technology to detect which muscles are insufficiently activated and whether there are muscular imbalances or asymmetries. Data analysis, reporting, and the recommendation of corrective exercises are automated.
In less than 3 minutes, trainers/athletes receive a complete muscle analysis to support their diagnosis. Committed to delivering measurable results, myoact offers the most comprehensive electromyography solutions available.
Task
Improving onboarding and data Interpretation for myoact customers
My task was to enhance the myoact EMG product experience by streamlining the training process and simplifying data interpretation. The interface did not provide sufficient context about the meaning of EMG metrics, which led to misinterpretation of the results.
Challenge
Community-driven learning as a potential user knowledge base
Our user base consists of trainers (business representatives) and end-users (athletes and patients). We hypothesized that a user community—connecting trainers, athletes, and patients—might improve training outcomes and data interpretation through shared experiences and peer support.
Focusing on the customer app experience over the external community
I conducted user interviews and built a business model canvas to uncover pain points and workflow gaps. Insights revealed that users preferred in-app guidance over community-based support. I redesigned the onboarding flow, clarified summary screens, and simplified app navigation. These updates were iteratively tested with users and led to clearer EMG interpretation and smoother first-time experiences.
Solution
My contribution
At the beginning of my work on the project, I interviewed stakeholders to align on goals. I also shadowed EMG sessions with users during onboarding meetings in Germany, gathering firsthand insights. The primary users included physiotherapists, orthopedists, and trainers, while the end users were patients and athletes.
Over two years, depending on the task, I conducted user interviews, tested hypotheses, created surveys, performed usability tests, facilitated workshops, and presented findings to stakeholders. I explored whether trainers were confident in their assumptions by analyzing how they interpreted and relied on the data provided by our app. I contributed to shaping the design culture, improving business metrics, and enhancing the app experience to make it more relevant and effective for both professionals and end users.
Research questions
After stakeholder interviews, I identified the biggest questions and objectives for the initial research.
01 / Research & discovery
Research Goals
Hypotheses
If we add clear, accessible, and contextually placed explanations within the interface, then users will be able to complete tasks and interpret data on their own, because they won’t need to rely on external sources or support.
If we create a dedicated user community space, then users will start sharing experiences and best practices, because they will gain access to peer examples, support, and collective learning.
Onboarding experience
How do users go through the initial onboarding process of the product?
Which moments cause confusion or frustration?
Do they refer to any additional materials (PDFs, support, videos)?
Understand the difficulties users experience when using the product for the first time (onboarding).
Explore trainers' confidence in their assumptions by analyzing how they interpret and rely on the data provided by our app.
Identify barriers to interpreting EMG data.
Investigate the potential value of an internal community as a source of support.
EMG data interpretation
Are users able to understand the data provided by the system on their own?
What are the consequences of misinterpreting the data?
Community as support
Would users engage with an internal support community?
Would a community help users resolve product-related issues?
Performed a heuristic evaluation and usability audit of the myoact app to identify friction points.
Analyzed direct and indirect competitors’ onboarding flows using competitive benchmarking to identify UX patterns.
Investigated UX design patterns for data-dense dashboards to understand effective methods of data presentation.
Secondary research
Primary Research
Designed and distributed user surveys to gather quantitative insights on onboarding clarity and data interpretation.
Conducted 8 in-depth user interviews with trainers to uncover pain points, motivations, and unmet needs.
Created User Journey Maps and Personas to synthesize behavioral patterns and decision-making triggers.
Mapped key Jobs To Be Done to clarify user motivations and align features with real-world usage scenarios.
Business goal
The goal was to build a trusted, data-informed platform that empowers users to make confident decisions through actionable EMG insights. Revenue is driven by a subscription model, with long-term growth fueled by high user engagement and active expert community participation.
03 / Testing & Evaluation
Based on the research, we redesigned parts of the app to offer contextual support right where users need it.
✅ Onboarding:
Introduced a contextual onboarding flow to guide users from the first launch.
✅ Measurement flow:
Reworked the Free mode, Mapping flows, and overall measurement navigation.
Added a "Mapping Info" page with a "Good to Know" section explaining the physiological background in simple terms.
✅ Post-measurement flow and data interpretation:
After Mapping session, users are guided to a "Corrective Exercises" section tailored to the athlete’s results. Trainers can select appropriate exercises based on identified issues.
Added a "Recommendations" page with EMG analysis to deepen understanding of measurement outcomes.
✅ FAQ:
Created a FAQ page based on trainer questions.
Added clearer explanations of EMG data and exercise types to reports.
02 / Design & Prototyping
We conducted multiple rounds of moderated usability testing sessions with trainers to validate new user flows, assess the clarity of EMG data interpretation, and evaluate decision-making after measurements.
Based on real user feedback, we iteratively refined the designs—focusing on resolving confusion around EMG visuals and guiding users toward the appropriate corrective actions.
During testing, we also invalidated one of our initial hypotheses: that users would benefit from a community space for knowledge exchange. In reality, trainers expressed a strong preference for having all essential information and guidance directly within the app, rather than relying on external forums or discussions.
“"I want to show people the best way they can use their muscles properly"”
- Patrick, Physiotherapist (b2b client)
I finalized and annotated Figma prototypes, covering all new flows and edge cases. I created developer documentation with detailed logic behind key interactions and built the design system from scratch, which I continue to maintain.
During implementation, I worked closely with developers, clarifying design decisions, answering questions, and running design QA to ensure visual and functional accuracy. I also explored Flutter, the framework behind our app, and occasionally supported the dev team with related issues.
Additionally, I translated the entire app into Ukrainian, maintained the user manual, and created sales enablement materials. For each release, I prepared internal documentation and update summaries to keep teams aligned.
04 / Refinement & Delivery
We follow a consistent release cycle, regularly shipping improvements and new features. Priority tasks are continuously implemented to enhance the overall user experience and address key usability challenges within the app.
In parallel, we’ve started working on a mobile app for athletes and a web platform for training practices, designed to help users easily discover and engage with practices that integrate our technology.
05 / Launch & Monitoring
myoact tablet app
Here is a part of the updated design. Guided by user feedback, the redesign of the Free mode flow simplifies navigation and enhances clarity at every step.
Key changes include:
Users can now initiate athlete-specific measurements directly from the athlete’s profile view, significantly reducing the number of steps.
It is now possible to select target muscles for measurement in Free Mode, a feature that was previously unavailable. This allows for more flexible and personalized training scenarios.
The sensor selection block has been moved into a dialog window, freeing up valuable screen space and improving focus on the task.
These changes simplify the process of working with athletes and updating their profiles, making interactions faster and more intuitive.
Free mode (before)
Free mode (after)
Practices web site
Design system
