Seren
A mind-body health companion for people who suspect stress is behind their physical symptoms.
Overview
Designing for the gap between calm and care.
This case study traces the design of Seren, a mind-body health companion for people who want to explore how stress may relate to their physical symptoms. Starting from a competitor analysis and five user conversations, I looked at why this audience is underserved by both meditation apps and medical trackers, and what a product that meets both needs could look like.
- Role
- UX Designer and Researcher
- Platform
- iOS mobile app
- Year
- 2024
Problem statement
Two separate tools for one connected problem.
Many people notice physical symptoms, like chest tightness, headaches or elevated blood pressure, and wonder whether stress or emotional state might be playing a role. Whether or not there is a direct relationship, that question itself shapes how they look for help. A review of five leading apps showed that neither wellness tools nor medical trackers are designed for people asking it.
- Symptoms are logged too late
- Patterns go unexplained
- Tools feel cold and clinical
- There's no guidance in the moment
None of the five products connect the moment a symptom appears, the pattern behind it, and a concrete next action. That gap became the starting point for Seren.
Competitor analysis
Plenty of data, no path to action.
A heuristic review of Headspace, Calm, Bearable, Guava and Curable. Each is strong at one job, and none carries a symptom from the moment it appears to what to do about it.
StrengthStrong emotional regulation, guided breathing and sleep content, useful for calming down quickly.
GapNo symptom logging, no medication tracking, no way to connect emotional state with physical patterns.
StrengthComprehensive capture of symptoms, medications and correlations, with clinician-facing reports.
GapNo guided response in the moment a symptom occurs. The emotional layer is largely absent.
StrengthBest at framing the link between emotional patterns and physical symptoms, with education and practices.
GapCondition-specific, limited tracking, no clinician export and no medication layer.
Research
What the research surfaced.
I ran five semi-structured interviews, surveyed 24 people and reviewed five apps across three market categories. Most people logged symptoms hours later, in the evening, because opening an app mid-stress felt like extra work. All five interviewees saw patterns in their own symptoms, yet no app put those patterns into words. Medical trackers felt like a form and wellness apps ignored the body, so people wanted something serious that didn't feel clinical. In a symptom moment they wanted something to do rather than an explanation, and they wanted an easy way to bring what they tracked to their doctor.
Survey n=24, 5 semi-structured interviews. This is an exploratory study with a small sample, so findings point to design directions, not statistically representative conclusions.
Empathy map
Users could name the trigger but not the response.
Four interview participants, one summary.
Says
- I log it later, when I finally have a minute
- Calm is nice, but it doesn't know my body
- My doctor just tells me to relax
- I want something to do right now, not a chart
"I know stress makes my chest tight. I just don't know what to do in that moment."Maya, marketing manager
Thinks
- Is this stress, or something I should worry about?
- I'm the one connecting the dots, not the app
- Would a doctor even look at my data?
- One more app means one more chore
"I can see the pattern myself. No app ever says it back to me."Lior, software engineer
Does
- Logs symptoms hours later, usually in the evening
- Switches between a meditation app and a tracker
- Tried Headspace and Bearable, then dropped both
- Keeps notes on her phone to show at appointments
"By the time I open the app, the moment has already passed."Dana, graduate student
Feels
- Dismissed when told to just reduce stress
- Anxious in the moment, with nothing to reach for
- Tired of doing the mental work alone
- Put off by tools that feel clinical
"Tracking apps feel like filling in a form at the clinic."Avi, small business owner
Participant names are changed. Quotes are condensed from interview notes.
Personas
Who Seren is for.
Two composite personas built from interview themes and survey patterns, not portraits of specific participants. They represent the two main needs the research surfaced: immediate regulation, and longitudinal medical correlation.
- Believes her symptoms are stress-related but has no way to check
- Tried Headspace and Bearable. Neither fits her whole picture
- Wants something to do in the moment of a symptom, not just log it
- Feels dismissed by doctors who say "just reduce your stress"
"I know stress makes my chest tight. I just want someone to help me understand why and tell me what to do about it."
- Tracks blood pressure twice daily per doctor's instructions
- Suspects stress is the main driver of his readings but has no data to show it
- Wants to share meaningful patterns at cardiology appointments
- Would try breathing exercises if they were quick and evidence-based
"My BP is always higher after a bad week. My doctor just increases my dose. I want to show them the whole picture."
Pain points
From friction to response.
Each pain point is traced to where it came from and the design response it shaped.
| Pain point | Source | Seren's response |
|---|---|---|
| Logging takes too long in the moment | Interviews (4/5) | Sub-30-second check-in: 5 steps max, smart defaults, one-tap inputs |
| No one explains what the data means | Survey (89%) | Insight cards in plain language, pattern correlation with a behavioral suggestion |
| Apps feel cold or clinical | Interviews (5/5) | Warm tone, human language, emotion-first onboarding, soft typography |
| No guidance on what to do right now | Survey (71%) | Immediate response plan: breathing, body scan, hydration, re-check |
| Can't connect physical and emotional data | Interviews (5/5) | One log captures mood, stress, body map, symptoms, sleep and meds |
| Hard to communicate with doctors | Survey (63%) | One-tap PDF export with a pattern summary and correlation highlights |
| Meditation feels irrelevant to physical symptoms | Interviews (3/5) | Interventions tied to logged state: breathing is suggested because of chest tension today |
User journey
The friction sits at the insight, not the log.
How a typical stress-related symptom episode might flow through Seren. It's a design scenario, not an observed session, used to stress-test the product structure.
- AwarenessNotices chest tension mid-morningAnxious
- Check-in5-step log in under 30 secondsFocused
- InsightPattern card explains the connectionUnsureFriction point: a pattern can read like a diagnosis.
- Regulate3-min breathing, body scan, re-checkHopeful
- ReviewWeekly summary, one-tap export for the doctorEmpowered
Solution
Turning scattered tracking into one connected loop.
Seren is built around a four-stage loop that turns daily logging into actionable self-understanding.
- TrackLog mood, stress, body location, symptoms, sleep, energy, triggers and medications. The under-30-second target is a hypothesis to validate with timed usability tests.
- DetectSurface correlations as plain-language sentences that explain patterns, not charts.
- RegulateAn immediate, state-matched response: breathing, body scan, hydration or a medication reminder.
- ReviewWeekly summaries and one-tap clinician exports that make appointments more productive.
Not "stress is elevated" but "stress spikes tend to appear before you log your medication." Not a data dump. A coach.
Final design
Three screens, one unified system.
Colour palette, spacing and typographic hierarchy preserved from the Figma source, updated with mind-body content architecture and an insight layer.
Screen 01
Medicine cabinet
The medical home view. A mind-body check-in banner sits above the medication cards, so logging how you feel is part of the daily routine, not a separate app.
Screen 02
Mind-body dashboard
Today's stress, body tension and sleep, each with a severity level. An insight card says the pattern in plain words, and the main action is a 3-minute reset tied to what was logged.
Screen 03
Tracking and BP log
Blood pressure slots for wake-up and bedtime, with a new Mind-Body Note underneath that lines up readings with mood and stress logs.
Style guide
One system, calm and consistent.
A visual language that balances medical credibility with emotional warmth, with the core components used across the app.
Logo
Colour
Type
Outcome and reflections
What I'd carry into the next build.
Tone was the hardest problem. A body map that logs chest pain has to feel credible to someone managing real symptoms and still easy to open under stress, and that dual register shaped every copy and visual decision. The research showed that people have already given up on apps meeting this need, so the first challenge is earning trust, not covering features. Putting action before insight was a deliberate tradeoff, since people may calm down without ever understanding their pattern. The copy had to say correlation and never causation, which was harder than it looks. The sample was small, so the 30-second check-in, the insight cards and the clinician export all need real usability testing, and onboarding, the one screen I didn't design, is the hardest problem left.
Next steps
If I had more time.
Next, I'd run timed usability tests on the check-in flow to validate the 30-second goal, then design an onboarding that collects health goals and conditions without feeling like an intake form. I'd audit every insight card so it shows correlation, never implied causation, add dark mode for the bedtime BP log and bring every screen to WCAG AA. Two questions stay open: what clinician export works in a 10-minute GP appointment, and which notifications build a habit without turning into noise.