Getting the Most from AI Insights

Trendwell's AI analyzes your tracking data to surface insights you might miss. It finds correlations, spots patterns, and suggests focus areas. Here's how to get the most from AI insights.

What AI Insights Do

Pattern Recognition

The AI identifies:

• Correlations between inputs and outcomes
• Weekly and seasonal patterns
• Unusual deviations from your baseline

Personalized Suggestions

Based on YOUR data, not generic advice:

• "Your BP tends to be lower on days after you exercise"
• "Sleep quality under 3 correlates with higher stress ratings"

Priority Recommendations

When multiple patterns exist, AI helps prioritize:

• Which inputs have strongest effects
• Where to focus improvement efforts

Key Insight: AI insights are based on YOUR data. They're personalized observations, not generic tips.

Types of AI Insights

Correlation Insights

"When X happens, Y tends to happen"

Example: "When you go to bed after 11:30pm, your next-day energy rating is typically 1.5 points lower."

How to use: Test this correlation with intentional changes

Pattern Insights

"You tend to..."

Example: "Your sodium intake is higher on weekends, which may explain your Monday BP elevations."

How to use: Awareness leads to better choices

Anomaly Insights

"This was unusual..."

Example: "Your sleep quality was 5/5 three days in a row—that's rare for you. What did you do differently?"

How to use: Identify what's working and replicate it

Progress Insights

"Over time, you've..."

Example: "Your average bedtime has moved 25 minutes earlier over the past month, and your energy trend is improving."

How to use: Confirmation that changes are working

Getting Better Insights

Track Consistently

More data = better insights:

• Log daily, even quick confirmations
• Track exceptions when they happen
• Fill gaps when you remember

Use Proper Defaults

Good defaults help AI understand your baseline:

• Accurate defaults = meaningful exceptions
• AI learns what "normal" vs. "unusual" means for you

Track Multiple Inputs

More inputs give AI more to analyze:

• Start with recommended inputs
• Add inputs if you suspect they matter
• AI can find unexpected correlations

Give It Time

AI insights improve over time:

• Week 1: Basic patterns
• Week 2-4: Correlations emerging
• Month 2+: Deeper, more reliable insights

Acting on AI Insights

Verify Before Acting

AI shows correlation, not causation:

• An insight is a hypothesis
• Test it with intentional change
• Confirm it works for you

One Change at a Time

When AI suggests multiple areas:

• Pick the strongest insight first
• Test for 2-3 weeks
• Then move to next suggestion

Give Feedback

Help AI learn:

• Mark insights as helpful or not
• AI refines based on feedback
• Your engagement improves future insights

Common AI Insights

Sleep-Related

"Your outcome improves when sleep quality is 4 or higher."

Timing-Related

"Late-night exceptions correlate with next-day issues."

Consistency-Related

"Your best weeks are when you track 6+ days."

Weekend-Related

"Weekend patterns differ from weekday patterns in your data."

AI Limitations

Not Medical Advice

AI insights are data observations, not diagnoses:

• For health decisions, consult healthcare providers
• AI can inform conversations, not replace them

Requires Data

AI can't find patterns in data that doesn't exist:

• Gaps reduce insight quality
• Inconsistent tracking limits analysis

Correlation ≠ Causation

AI finds relationships, but can't prove one causes the other:

• Use insights as hypotheses
• Verify with intentional testing

Next Steps

• Read: Understanding Correlations in Trendwell
• Read: Finding Your Weight Correlations
• Check: Your current AI insights in Trendwell
• Test: The strongest insight with an intentional change
• Track: Consistently to improve future insights

AI insights turn your tracking data into actionable knowledge. The more you track, the smarter they get.

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Last updated: January 2026