Call Details

Ashley

Phone
+14045793013
Scheduled Time
Oct 03, 2025 08:00 PM EDT
Timezone
America/New_York
Status
completed
Call Type
daily_analysis_update
Created
Oct 03, 2025 01:27 PM EDT
Data Analysis Period
Sep 30, 08:00 PM to Oct 03, 07:45 PM (America/New_York)

Call Timing Context

Call Time Label
Evening
Is Morning
False
Is Mid-day
False
Current Hour
19

Summary

Good Evening! Today’s review spans three days of data, and while there were standout moments, especially on 2025-10-01 with strong activity and excellent sleep quality, there are areas that need attention. The overall Heald Score today suggests 'Health score needs attention' as several pillars, like activity on 2025-10-02 and 2025-10-03, and missing glucose and sleep data on 2025-10-03, have impacted the scores. Compared to yesterday, activity and sleep data have worsened, but your nutrition logging remains consistent. A key improvement is the high-quality sleep on 2025-10-01, while a major area to work on is increasing daily movement and recording complete glucose data. For tomorrow, try adding a short walk and ensure your devices are fully synced. Keep an eye on your tracking, and remember—every small step counts. Tip: Consistency is key, so stick with your routines and adjust as needed.

Activity Analysis

Highlights

  • On 2025-10-01, you had a strong performance with 8,832 steps, a workout time of nearly 72 minutes, and an activity score of 86.
  • On 2025-10-02, activity dropped with only 3,490 steps and minimal workout time, reflected in a low score of 15.
  • On 2025-10-03, activity was extremely low with just 156 steps and no recorded workout, indicating a flat day.

Recommendations

  • Aim to add short walks after meals to gradually increase your daily step count on low-activity days.
  • Schedule a brief workout or light activity session tomorrow to improve your overall activity score.
  • Monitor your daily activity consistency—try setting reminders or a step goal to ensure you meet the 7,500 step target.

Detailed Notes

  • There is a clear contrast between the high activity on 2025-10-01 and the subsequent very low activity on 2025-10-02 and 2025-10-03.
  • Heart rate zone data on 2025-10-01 shows a well-distributed effort during workouts.
  • The absence of workout data on later days suggests missed exercise sessions.
  • The strain score remained identical on 2025-10-01 and 2025-10-02, indicating similar low intensity outside workout periods.
  • A more consistent daily routine is needed to help maintain activity targets and improve overall fitness.

Glucose Analysis

Highlights

  • No glucose data was recorded on any of the three days, leaving a gap in monitoring blood sugar trends.
  • Key metrics such as TIR, GMI, and MAGE are all zero, so no insights can be drawn for glycemic control.
  • The absence of glucose readings limits the understanding of how your activity and nutrition impact your blood sugar.

Recommendations

  • Begin logging your glucose measurements daily or use a continuous glucose monitoring device to capture more data.
  • Consider checking post-meal blood sugar levels to detect any spikes that might be influenced by your meals.
  • Consult your health coach to decide on the optimal glucose tracking method that suits your routine.

Detailed Notes

  • All glucose metrics (avg_glucose, GMI, MAGE, TIR) are recorded as zero, highlighting a data gap.
  • Without any recorded readings, it is difficult to correlate meals and activity with glycemic response.
  • The lack of glucose logging might be due to not wearing or syncing your monitoring device.
  • Improved tracking can provide vital feedback for diabetes management.
  • Future data collection should incorporate regular glucose checks to better tailor your program.

Nutrition Analysis

Highlights

  • Nutrition data shows a strong protein focus with 59.7% protein, 31.2% carbs, and 9.06% fat.
  • Two days of recorded calorie intake (451 on 2025-10-02 and 506 on 2025-10-03) reflect consistent meal logging.
  • A high GI food, White Rice (GI: 73), was consumed on 2025-10-03, which is a point to monitor.

Recommendations

  • Avoid high glycemic foods like White Rice to help maintain stable blood sugar levels.
  • Try to log all meals daily to ensure a complete nutritional profile, including on days when data is missing.
  • Consider consulting a nutrition specialist to balance macronutrients and optimize your meal planning further.

Detailed Notes

  • Macronutrient percentages indicate a high protein and lower carbohydrate diet.
  • Daily calorie logging is only available for two days; missing data from 2025-10-01 should be addressed.
  • The glycemic breakdown shows 90.9% of foods are low GI with only one high GI instance, suggesting overall good quality.
  • Meal distribution is well balanced across breakfast, lunch, and dinner, with 33.3% each.
  • Monitoring glycemic response with glucose data (when available) could further enhance nutritional insights.

Sleep Analysis

Highlights

  • Sleep on 2025-10-01 was solid with a high score of 92, showing a good balance of light, REM, and deep sleep.
  • 2025-10-02 also had a strong sleep score of 90 with slightly increased REM and deep sleep compared to the previous day.
  • Sleep data for 2025-10-03 is missing, which is concerning for a comprehensive sleep analysis.

Recommendations

  • Ensure your sleep tracker is properly set up tonight to capture complete data.
  • Aim to keep a consistent sleep schedule to maintain high sleep quality scores.
  • Review your pre-bed routines to help guarantee uninterrupted sleep and complete data logging every night.

Detailed Notes

  • Recorded sleep stages for 2025-10-01 and 2025-10-02 provide a clear picture of sleep quality.
  • Light sleep dominated both days, with a healthy amount of REM and deep sleep on 2025-10-02.
  • The absence of any sleep data on 2025-10-03 may indicate a tracking error or non-usage of the device.
  • Consistent sleep data is essential to understand overall recovery and daily performance.
  • Capturing every night’s sleep data will help identify patterns and areas for sleep improvement.

Stress Analysis

Highlights

  • Stress data on 2025-10-01 and 2025-10-02 show similar strain scores of 2.34 with recovery scores of 60.06 and 56.27 respectively.
  • A slight decrease in recovery score from 60.06 to 56.27 indicates a minor worsening in stress recovery.
  • No stress data was recorded on 2025-10-03, which limits the analysis of your stress patterns for the full period.

Recommendations

  • Continue with stress management techniques to help maintain or improve recovery scores.
  • Aim to record stress-related data daily for a complete understanding of fluctuations.
  • Try incorporating relaxation practices such as deep breathing or meditation, especially on low recovery days.

Detailed Notes

  • The stress metrics from 2025-10-01 and 2025-10-02 reveal low strain overall but slightly declining recovery.
  • A recovery score above 60 is ideal, so the drop to 56.27 on 2025-10-02 suggests room for improvement.
  • Missing stress data on 2025-10-03 can be addressed by ensuring the wearable device is worn consistently.
  • Stable strain scores indicate no major acute stress events over the period.
  • Monitoring daily recovery can help tailor your stress management techniques effectively.

Call Logs & Conversation

AI Call Summary

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Call Logs

  • Hey Ashley, it's great to connect. I'm Mira from Heald, and I'd love to share some insights from your health data when you're ready.
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  • Hello, I am Mira your health analyzer.
  • To send an SMS notification, press 5.
  • Hello, I am Mira your health analyzer.
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Agent Conversation (text)

Hey Ashley, it's great to connect. I'm Mira from Heald, and I'd love to share some insights from your health data when you're ready.

4-4-0-4-5-7-9-3-0-1-3. Sorry, mailbox is full. To send an SMS notification, press 5.

Hello, I am Mira your health analyzer.

To send an SMS notification, press 5.

Hello, I am Mira your health analyzer.

To send an SMS notification, press 5.

Hello, I am Mira your health analyzer.