SafeDoser
SafeDoser
SafeDoser
Smarter OTC & Supplement Tracking for Everyday Health
Smarter OTC & Supplement Tracking for Everyday Health
Smarter OTC & Supplement Tracking for Everyday Health
Individual Project
Role: Interaction designer 100%(User research, prototyping)
DURATION
MAY 2025 - JUN 2025
TOOLS
Figma, HTML, CSS, JS, Python
Individual Project
Interaction designer 100%(User research, prototyping)
DURATION
May 2025 - Jun 2025
TOOLS
Figma, HTML, CSS, JS, Python
Individual Project
Role: Interaction designer 100%(User research, prototyping)
DURATION
MAY 2025 - JUN 2025
TOOLS
Figma, HTML, CSS, JS, Python
Overview
Overview
Overview
Goal
Goal
Goal
Design a MVP that helps users manage OTC supplements safely with clarity and confidence.
The focus is on reimagine supplement safety with context-aware alerts and conversational guidance that integrate seamlessly into everyday health routines
Design a MVP that helps users manage OTC supplements safely with clarity and confidence.
The focus is on reimagine supplement safety with context-aware alerts and conversational guidance that integrate seamlessly into everyday health routines
Design a MVP that helps users manage OTC supplements safely with clarity and confidence.
The focus is on reimagine supplement safety with context-aware alerts and conversational guidance that integrate seamlessly into everyday health routines
Background
Background
Background
As OTC use grows, people juggle multiple products without guidance, leaving recalls unseen and interactions misunderstood. SafeDoser addresses this everyday gap with adaptive design.
As OTC use grows, people juggle multiple products without guidance, leaving recalls unseen and interactions misunderstood. SafeDoser addresses this everyday gap with adaptive design.
As OTC use grows, people juggle multiple products without guidance, leaving recalls unseen and interactions misunderstood. SafeDoser addresses this everyday gap with adaptive design.
Problem
Problem
Problem
Existing tools neglect OTC safety, offering no recall alerts and demanding too much input.
Users are left to manage confusing regimens without clear guidance.
Existing tools neglect OTC safety, offering no recall alerts and demanding too much input.
Users are left to manage confusing regimens without clear guidance.
Existing tools neglect OTC safety, offering no recall alerts and demanding too much input.
Users are left to manage confusing regimens without clear guidance.
Design Direction
Design Direction
Design Direction
Within a short hackathon, we built a usable, safety-first MVP. SafeDoser transforms routine tracking into adaptive experiences, context-aware alerts and conversational flows replace static reminders, guiding users only when it matters.
Within a short hackathon, we built a usable, safety-first MVP. SafeDoser transforms routine tracking into adaptive experiences, context-aware alerts and conversational flows replace static reminders, guiding users only when it matters.
Within a short hackathon, we built a usable, safety-first MVP. SafeDoser transforms routine tracking into adaptive experiences, context-aware alerts and conversational flows replace static reminders, guiding users only when it matters.
Problem & User
Problem & User
Problem & User
Target Users:
Target Users:
Target Users:
Busy adults building supplement routines
Chronic users of OTC products
Busy adults building supplement routines
Chronic users of OTC products
Busy adults building supplement routines
Chronic users of OTC products
Key Challenges:
Key Challenges:
Key Challenges:
Forgetting doses creates daily uncertainty.
Users can’t easily know if a product is recalled or unsafe.
Generic reminders feel irrelevant, leading to ignored alerts.
Forgetting doses creates daily uncertainty.
Users can’t easily know if a product is recalled or unsafe.
Generic reminders feel irrelevant, leading to ignored alerts.
Forgetting doses creates daily uncertainty.
Users can’t easily know if a product is recalled or unsafe.
Generic reminders feel irrelevant, leading to ignored alerts.
Survey
Survey
Survey
I surveyed 10 potential supplment users aged 18 to 65+ to understand their needs, routines, and frustrations.
I surveyed 10 potential supplment users aged 18 to 65+ to understand their needs, routines, and frustrations.
I surveyed 10 potential supplment users aged 18 to 65+ to understand their needs, routines, and frustrations.
68% reported taking 3 or more OTC products regularly.
Half don’t track intake at all
Nearly 70% said they rarely notice FDA recall or interaction warnings until it’s too late.
68% reported taking 3 or more OTC products regularly.
Over 50% do not track their supplement intake at all.
Nearly 70% said they rarely notice FDA recall or interaction warnings until it’s too late.
68% reported taking 3 or more OTC products regularly.
Over 50% do not track their supplement intake at all.
Nearly 70% said they rarely notice FDA recall or interaction warnings until it’s too late.
This research revealed critical gaps in supplements safety: users lack awareness, tracking, and recall visibility. These insights shaped SafeDoser’s direction, delivering clarity through context-aware alerts and conversational guidance embedded in daily life.
This research revealed critical gaps in supplements safety: users lack awareness, tracking, and recall visibility. These insights shaped SafeDoser’s direction, delivering clarity through context-aware alerts and conversational guidance embedded in daily life.
This research revealed critical gaps in supplements safety: users lack awareness, tracking, and recall visibility. These insights shaped SafeDoser’s direction, delivering clarity through context-aware alerts and conversational guidance embedded in daily life.
Insights
Insights
Insights
Supplement Is the New Front Line of Care
People use OTC meds more often than they visit doctors, but manage them without help.
People rely on supplements over clinic visits, with little support.
People rely on supplements over clinic visits, with little support.
People rely on supplements over clinic visits, with little support.
Many Pills, No Tracking
Multi-product use is common; consistent tracking is not.
Multi-product use is common; consistent tracking is not.
Multi-product use is common; consistent tracking is not.
Recall Risks Go Unseen
Most users don’t know when a product is recalled, until it’s too late.
So what:
So what:
These are not just functional gaps but interaction gaps. Users need tools that adapt to their context and communicate in their language.
SafeDoser addresses this with clarity, context-aware alerts, and conversational guidance embedded in daily life.
So what:
These are not just functional gaps but interaction gaps. Users need tools that adapt to their context and communicate in their language.
SafeDoser addresses this with clarity, context-aware alerts, and conversational guidance embedded in daily life.
These are not just functional gaps but interaction gaps. Users need tools that adapt to their context and communicate in their language.
SafeDoser addresses this with clarity, context-aware alerts, and conversational guidance embedded in daily life.
So what:
These are not just functional gaps but interaction gaps. Users need tools that adapt to their context and communicate in their language.
SafeDoser addresses this with clarity, context-aware alerts, and conversational guidance embedded in daily life.
By mapping the daily routines of three user types, I identified when and how challenges with supplement medication occur, allowing us to pinpoint where SafeDoser can have the greatest impact.
By mapping the daily routines of three user types, I identified when and how challenges with supplement medication occur, allowing us to pinpoint where SafeDoser can have the greatest impact.
By mapping the daily routines of three user types, I identified when and how challenges with supplement medication occur, allowing us to pinpoint where SafeDoser can have the greatest impact.
To ground the design in real-world needs, I created two personas that highlight key challenges and opportunities through context-aware, conversational, and shared experiences.
To ground the design in real-world needs, I created two personas that highlight key challenges and opportunities through context-aware, conversational, and shared experiences.
To ground the design in real-world needs, I created two personas that highlight key challenges and opportunities through context-aware, conversational, and shared experiences.
problem statement
problem statement
problem statement
“Users lack safety guidance that feels timely, contextual, and understandable. Current reminder apps deliver only static, time-based alerts”
“Users lack safety guidance that feels timely, contextual, and understandable, current reminder apps deliver only static, time-based alerts”
“Users lack safety guidance that feels timely, contextual, and understandable. Current reminder apps deliver only static, time-based alerts”
Goals & Principles
Goals & Principles
Goals & Principles
Hypothesis
Hypothesis
Hypothesis
If safety information is delivered via context-aware notifications and conversational interactions, users will feel safer, more confident, and less burdened.
If safety information is delivered via context-aware notifications and conversational interactions, users will feel safer, more confident, and less burdened.
If safety information is delivered via context-aware notifications and conversational interactions, users will feel safer, more confident, and less burdened.
"How might we design a supplement safety service that adapts to real-world contexts and allows natural conversations, so alerts feel timely, clear, and seamlessly integrated into daily life?"
"How might we design a supplement safety service that adapts to real-world contexts and allows natural conversations, so alerts feel timely, clear, and seamlessly integrated into daily life?"
"How might we design a supplement safety service that adapts to real-world contexts and allows natural conversations, so alerts feel timely, clear, and seamlessly integrated into daily life?"
Design Goals
Design Goals
Design Goals
Deliver timely, relevant alerts by adapting to user context
Provide plain-language guidance on recalls and interactions
Simplify complex data to reduce cognitive load
Build trust and confidence in safety decisions
Deliver timely and relevant alerts by adapting to user context (e.g., location, daily rhythm).
Provide clear, natural language guidance on recalls and interactions.
Reduce cognitive load by simplifying complex medical data.
Increase trust and confidence in supplement safety decisions.
Deliver timely and relevant alerts by adapting to user context (e.g., location, daily rhythm).
Provide clear, natural language guidance on recalls and interactions.
Reduce cognitive load by simplifying complex medical data.
Increase trust and confidence in supplement safety decisions.
Design Principles
Design Principles
Design Principles
Contextual Relevance
Clarity over Complexity
Conversational Experience
Contextual Relevance
Clarity over Complexity
Conversational Experience
Contextual Relevance
Clarity over Complexity
Conversational Experience
Flows & Structure
Flows & Structure
Flows & Structure
I tried to design the flow that helps users register supplements, get timely reminders, and use a conversational chatbot. Built on small nudges and clear guidance, it delivers safety information at the right time in plain language.
(Click the image to zoom in.)
The app centers on supplement registration, context-aware notifications, and a conversational chatbot, ensuring safety info arrives at the right moment and in plain language.
Flows center on two pillars—context-aware nudges and conversational guidance—ensuring safety feels both timely and natural
The app centers on supplement registration, context-aware notifications, and a conversational chatbot, ensuring safety info arrives at the right moment and in plain language.
Flows center on two pillars—context-aware nudges and conversational guidance—ensuring safety feels both timely and natural
screen flow
screen flow
screen flow
Prototyping
Prototyping
Prototyping
Hi-fidelity prototype
Hi-fidelity prototype
Hi-fidelity prototype
Iterated hi-fi prototypes to validate timely context-awareness and natural dialogue within tight hackathon constraints.
Iterated hi-fi prototypes to validate timely context-awareness and natural dialogue within tight hackathon constraints.
Iterated hi-fi prototypes to validate timely context-awareness and natural dialogue within tight hackathon constraints.
These changes were driven by user pain points and refined through design critiques, ensuring that each screen delivers clarity, adapts to real-life contexts, and saves users’ time.
These changes were driven by user pain points and refined through design critiques, ensuring that each screen delivers clarity, adapts to real-life contexts, and saves users’ time.
These changes were driven by user pain points and refined through design critiques, ensuring that each screen delivers clarity, adapts to real-life contexts, and saves users’ time.
Interaction Details
SafeDoser moves beyond static, time-based reminders toward context-aware and conversational experiences integrated into daily life.
Context-aware Safety Alerts
Notifications adapt to the user’s real-world context rather than just the clock.
Example:
A recall alert appears only when the user is near a pharmacy where exchange is possible.
Why it matters:
Users ignore generic alerts, so SafeDoser gives context-based messages only when needed. This keeps safety clear without extra interruptions
Impact:
Timely safety / Reduced alert fatigue / Increased confidence
Conversational Guidance
A built-in chatbot allows users to ask questions naturally, using text or voice, about supplement–drug interactions.
Example:
“Can I take magnesium and melatonin together?” → Clear, jargon-free answer from FDA data.
Why it matters:
Medical information is overwhelming. Conversational guidance lowers barriers and builds trust.
Impact:
Less cognitive load / User-driven exploration / Safer decisions
Interaction Details
SafeDoser moves beyond static, time-based reminders toward context-aware and conversational experiences integrated into daily life.
Context-aware Safety Alerts
Notifications adapt to the user’s real-world context rather than just the clock.
Example:
A recall alert appears only when the user is near a pharmacy where exchange is possible.
Why it matters:
Users ignore generic alerts, so SafeDoser gives context-based messages only when needed. This keeps safety clear without extra interruptions
Why it matters:
Users ignore generic alerts, so SafeDoser gives context-based messages only when needed. This keeps safety clear without extra interruptions
Impact:
Timely safety / Reduced alert fatigue / Increased confidence
Conversational Guidance
A built-in chatbot allows users to ask questions naturally, using text or voice, about supplement–drug interactions.
Example:
“Can I take magnesium and melatonin together?” → Clear, jargon-free answer from FDA data.
Why it matters:
Medical information is overwhelming. Conversational guidance lowers barriers and builds trust.
Impact:
Less cognitive load / User-driven exploration / Safer decisions
Interaction Details
SafeDoser moves beyond static, time-based reminders toward context-aware and conversational experiences integrated into daily life.
Context-aware Safety Alerts
Notifications adapt to the user’s real-world context rather than just the clock.
Example:
A recall alert appears only when the user is near a pharmacy where exchange is possible.
Why it matters:
Users ignore generic alerts, so SafeDoser gives context-based messages only when needed. This keeps safety clear without extra interruptions
Impact:
Timely safety / Reduced alert fatigue / Increased confidence
Conversational Guidance
A built-in chatbot allows users to ask questions naturally, using text or voice, about supplement–drug interactions.
Example:
“Can I take magnesium and melatonin together?” → Clear, jargon-free answer from FDA data.
Why it matters:
Medical information is overwhelming. Conversational guidance lowers barriers and builds trust.
Impact:
Less cognitive load / User-driven exploration / Safer decisions
Learnings
Learnings
Learnings
Through user research and design critiques, we identified three key lessons that shaped our design decisions:
Through user research and design critiques, we identified three key lessons that shaped our design decisions:
Through user research and design critiques, we identified three key lessons that shaped our design decisions:
Relevance matters more than frequency: generic alerts are often ignored, while context-based nudges feel actionable.
Clarity reduces stress: users prefer plain, direct guidance over complex medical language.
Dialogue builds confidence: conversational flows lower barriers to asking questions and make decisions feel safer.
Outcome
The MVP demonstrates how supplement safety can evolve beyond reminders into adaptive, conversational experiences embedding trust directly into daily life.
What’s next
Expand barcode database integration for faster, accurate registration
Add calendar sync & missed-dose tracking to fit real routines
Enhance chatbot for more proactive, supportive guidance
Outcome
The MVP demonstrates how supplement safety can evolve beyond reminders into adaptive, conversational experiences embedding trust directly into daily life.
What’s next
Expand barcode database integration for faster, accurate registration
Add calendar sync & missed-dose tracking to fit real routines
Enhance chatbot for more proactive, supportive guidance
Outcome
The MVP demonstrates how supplement safety can evolve beyond reminders into adaptive, conversational experiences embedding trust directly into daily life.
What’s next
Expand barcode database integration for faster, accurate registration
Add calendar sync & missed-dose tracking to fit real routines
Enhance chatbot for more proactive, supportive guidance
Read more of my other projects
Read more of my other projects
Read more of my other projects
