Use Case: Symptom Tracking

For you if: You want to observe health symptoms, wellbeing or physical states – and find out what factors influence them.

Time required: ~5 minutes to start, then ~30 seconds per entry

What You Can Achieve

Week 1: Collect data (headaches, sleep, mood, …)
Week 2: Spot first patterns
Week 4: See possible correlations

Example: You track headaches and sleep quality. After 2 weeks you notice: on days with fewer than 6 hours of sleep, headaches occur more frequently.

Learning Path: Symptom Tracker in 3 Steps

Step 1: Start Immediately (5 minutes)

Use the Onboarding flow with Apple Health symptoms:

1. Launch the app → Onboarding screen appears
2. Expand a category (e.g. “Neurological”)
3. Select symptoms (e.g. Headache, Migraine)
4. Tap “Create”

Result: A dashboard with your symptoms. You can start right away.

💡 Tip: Start with a maximum of 5–7 symptoms. Less is more – better to track a few consistently than many irregularly.

Step 2: Configure the Dashboard (10 minutes)

The dashboard is sufficient for pure data entry. For analysis you can extend it further:

→ How-to: Set up a dashboard

Step 3: Refine Parameters (optional, 15–30 minutes)

If you want to go deeper, you can customize your parameters:

• Define a rating scale: What does “mild” vs. “severe” mean for you?
• Set a value range (e.g. pain scale 1–10)
• Add more parameters (mood, energy, sleep hours)

→ How-to: Configure parameters

Recommended Starter Parameters

This combination often yields the most insightful correlations:

💡 You don’t have to create these manually – search the Template Library for ready-made configurations.

Using Waypoints for Context

Special events that might affect your data can be marked as waypoints:

• “Started antibiotics” / “Stopped antibiotics”
• “On vacation – less stress”
• “Trying a new medication”

These markers help you explain outliers in your data later.

→ Set up waypoints

Tips for Consistent Tracking

• Fixed times help: morning when waking up + evening before bed
• No need for perfection – patchy data is better than no data
• Be honest – subjective assessments are intentionally part of the design
• Adjust timestamps – forgot to log in the evening? No problem, the time is editable later

Frequently Asked Questions

Can I change the rating scale later? Yes. Changes to parameters only affect the interpretation – your event data remains untouched.

Can I import Apple Health data? Direct data exchange with Apple Health is still in development (coming in a later update).

How much data do I need for meaningful analysis? As a rule of thumb: at least 2 weeks of consistent tracking for first patterns, 4–8 weeks for more reliable correlations.