Health · Mexico · 2020
Pfizer: a calmer path to mental wellbeing
A short check-in, a clearer picture of how you feel, and a gentle next step. A mental health app designed to help people recognise stress and find relevant support without feeling overwhelmed by the experience itself.

Health,
made simple.
Your everyday partner for feeling your best.
Case study draft. The original project was a freelance collaboration with Tres Prima for Pfizer in Mexico. This interactive walkthrough is a newly created design concept, not an original shipped experience. Check-in data is illustrative; the mood screen represents one step of the proposed questionnaire. Research findings, clinical validation and measured outcomes are not yet documented.
Problem
Stress is common, costly and hard to read
1 of 3
stressed adults worldwide
€100B+
annual stress sick leave cost (EU)
70–90%
of stressed people lost productivity
The problem
- · No clear link between habits and stress
- · Tracking alone doesn't help manage it
The solution
- · Predict stress days from daily habits
- · Personal guidance through a chatbot
Who it serves
Three audiences, one need
People, like us
Employers at scale
Insurance companies
The design journey
Design thinking, end to end
- 01
Discovery
Problem statement
When stress feels overwhelming,
tracking it is not enough.
People need clarity.
And a next step that feels manageable.The gapDaily habits and mental wellbeing feel disconnected.
The opportunityA short check-in. A clear result. Relevant support.
- 02
Ideate & prototype
Strip the journey back to what matters: check in, understand, act, and ask for support.
9:41•••DAILY CHECK-INHow are you feeling today?
A moment to check in.
Continue01Questionnaire 9:41•••YOUR RESULTA little elevated.
6/10Take things one step at a time.
Your space02Test result 9:41•••YOUR SPACEA little care,
just for you.Today's check-in6 / 10Your rhythmA little support03Dashboard 9:41•••Here for you.
A space to talk.
Your message…04Chat Proposed flow · Simplified wireframes, not original project deliverables.
- 03
Validate
Can people finish the check-in, understand their result and find a helpful next step?
01 / ComprehensionIs the result clear?
Check understanding without clinical jargon.
02 / EffortDoes it feel manageable?
Observe friction across the short questionnaire.
03 / RelevanceIs support easy to find?
Explore recommendations and the optional chat.
Proposed UX validation plan. User research and clinical validation are not yet documented.
- 04
Ship
From flow to experience
A calmer space.
A clearer next step.Bring the check-in, tracking and personalised recommendations together. Keep support close, without adding pressure.
Delivery concept shown here. Original release details and measured outcomes are not yet documented.
9:41•••YOUR SPACE TO FEEL BETTERA little care,
just for you.One small step at a time.
TODAY'S CHECK-IN6/10Stress level
A little elevatedLet's start small.
Your rhythm
NOTICE YOUR PATTERNSYour rhythm
One check-in at a time.
You don't have to hold it all alone.
A little support, when you need it.
Let's talkDashboard concept · Illustrative data
Data science
What drives stress
Stress model
CDC health survey
~450K
respondents
~380
health factors
Chatbot
PDFs from mental health experts
Relative feature importance
Data challenge
Most people report zero stress days
Around 190K rows sat at 0. Oversampling balanced the rare 30-day group.
Workflow
Two models, one experience
Machine learning
⇄ both models
Chatbot (LLM)
Zenly · Model evaluation
45% better predictions
Baseline
Dummy regressor · Simple regression
RMSE 9.72
Advanced · CatBoost
Classification → Regression
81% accuracy · RMSE 5.3
RAG model
“Deep breathing: take slow, deep breaths…”
General · Contextual
Fine-tuned model ✓
“Inhale for 4 seconds, hold for 4, exhale for 4. Repeat.”
Concise · Practical · Actionable
Chatbot evaluated with A/B tests. The fine-tuned model was chosen.
The data science work comes from Zenly, a related stress app with the same goal. The interactive app above is a design concept, not a shipped screen.
Impact · Illustrative example
Small steps. Meaningful engagement.
77.3%
completed the questionnaire
Among a sample of 320 people.
Example provided for the case study draft, not a verified Pfizer or Zenly outcome. Replace with confirmed results before presenting it as measured impact.
