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Saumya

Phone

+918586010571

Scheduled Time

Feb 17, 2026 08:00 PM IST

Timezone

Asia/Kolkata

Status

completed

Call Type

daily_analysis_update

Created

Feb 17, 2026 04:15 PM IST

Data Analysis Period

Feb 15, 12:00 AM to Feb 17, 08:00 PM (Asia/Kolkata)

Call Timing Context

Call Time Label

Evening

Is Morning

False

Is Mid-day

False

Current Hour

Activity Analysis

Highlights

One clear workout day (2026-02-15) with ~38 minutes of exercise, a peak HR of 149 bpm and time spent across moderate-to-high intensity zones — that day you reached an activity score of 90 and burned ~709 kcal.
Activity is inconsistent across the 4-day window: two days with little-to-no recorded movement (2026-02-16 and 2026-02-17), one light day (2026-02-14, ~5,132 steps) and one active day. Steps rarely hit the 8,000-step target (best day 7,389).
HRV and recovery track with activity: higher HRV (42 ms) and a recovery score on the active day (2026-02-15) suggest good recovery after exercise; lower HRV (29 ms) on 2026-02-14 and zero strain/recovery on non-wear days point to missing data or not wearing the device on several days.

Recommendations

Aim for consistency: plan 30–40 minutes of moderate activity on at least 4 days/week (e.g., brisk walking, cycling, or structured cardio) plus two 20–30 minute resistance sessions per week to support your muscle-mass goal. Schedule these in advance (same time windows) to reduce day-to-day variability.
Make steps easier to reach: add two 10–15 minute post-meal walks (especially after dinner) to turn low-activity days into moderate-activity days and to help glucose control. On workdays, set a morning or lunchtime reminder to get 2,500–4,000 steps before afternoon.
Reduce missing data so we can model progress: wear and sync your watch consistently (including nights and low-activity days). This will allow the fitness-fatigue model to run and give more precise guidance on load, recovery and progressive overload.

Detailed Notes

Load & monotony summary shows average daily load of ~1,475 with high day-to-day SD (2,913) — that reflects the pattern of one high-load day and several very low-load days. A steadier distribution (more moderate days) will be easier to sustain and better for adaptation.
The single active day had measurable strain (21) and improved HRV and recovery scores. That pattern (regular moderate strain followed by good recovery) supports fitness gains; aim to reproduce that balance across more days.
Two full days of near-zero activity likely reflect either device not worn or true sedentary days. If these were non-wear days, wearing the device will give a more accurate picture; if they were sedentary, breaking up long sitting periods with short walks will lower risk for weight regain and metabolic drift.
VO2 max is 45.97 — a solid baseline for your age. Use that as encouragement: progressive, regular cardio plus resistance work should help preserve/improve fitness while supporting weight-loss and muscle-mass goals.
Step and calorie targets are reasonable (8,000 steps, ~500 kcal goal). Focus first on hitting the step target on most days before adding extra high-intensity sessions; consistency will reduce load spikes and lower injury/stress risk.

Glucose Analysis

Highlights

No CGM/glucose readings are available for the entire period (no minute-level or aggregated glucose metrics), so we cannot compute Time in Range, variability, or identify specific post-meal spikes/dips.
Nutrition logging is sparse and the single logged day (2026-02-16) shows a very low reported calorie day (568 kcal) with high carbohydrate proportion (73%), low fat (7.9%) and relatively low protein (19.1%). That combination (low total energy + high carb percentage) can increase glucose variability and risk of reactive highs and lows.
Logged foods include moderate-to-high glycemic items (whole-wheat tortilla GI ~62 and cut carrots GI ~71). Without CGM data we can’t confirm responses, but these foods can cause more rapid post-meal glucose rises than lower‑GI, higher‑protein/fat alternatives.

Recommendations

Restore CGM data and complete logging: check your sensor and sync status (the care team noted no glucose since Feb 2). Wear and sync your CGM for at least 7 consecutive days, and log every meal (time + quick description). That will let us link meals, activity and sleep to glucose patterns.
Until CGM is back, reduce rapid post-meal glucose risk by balancing meals: include ~20–40 g protein and a small portion of healthy fat with carbohydrate-containing meals, and choose lower-GI carb swaps (e.g., brown basmati, small portions of whole grains, non-starchy vegetables instead of higher-GI starchy carbs). The refined meal plans you have (protein-focused bowls, millet/salmon options) align well with this.
Use practical timing strategies to blunt spikes: add a 10–20 minute walk 20–40 minutes after larger meals (especially dinner), avoid large late-night carb-heavy snacks, and aim for more consistent meal timing (regular breakfast/lunch/dinner) to reduce variability. If you are on glucose-lowering medications, consult your clinician before any medication changes.

Detailed Notes

Because there are no CGM readings we cannot calculate TIR/TAR/TBR, GMI, MAGE or identify time windows (e.g., overnight, post-dinner) with elevated risk. This is the primary limitation in making glucose-specific recommendations.
The single logged day with only two food entries (inadequate logging) prevents confident linking of meals to activity or sleep. If you can log all meals/snacks for the same days you wear the CGM, we can produce timestamped cause-and-effect guidance (e.g., identify which meal caused a 1-hour spike).
The low reported calorie day (568 kcal) may cause compensatory appetite and larger subsequent meals; low-energy days can also produce variable glucose via counter-regulatory responses. Aim for consistent calorie intake across days aligned with your meal plan to stabilize glucose while supporting weight loss.
High carbohydrate proportion and the presence of some higher-GI items increase the likelihood of sharper post-meal rises. Swapping to the provided meal-plan items (higher protein, more fiber, moderate fats) should reduce post-meal excursions once CGM is active.
Practical data-action plan: (1) confirm CGM sensor status with the care team and wear it for 7 days; (2) log every meal with time and main ingredients; (3) on logged days, perform two short post-meal walks and note sleep duration. With that combined data we can identify exact meals/times driving highs or lows and provide precise swaps or timing changes.

Nutrition Analysis

Highlights

No highlights available

Recommendations

Aim to increase daily calories toward the planned 1,200–1,300 kcal and shift macros by adding protein- and fat-rich items so each main meal contains ~25–30 g protein; simple first steps are adding Greek yogurt or eggs at breakfast, a protein portion at lunch, and a handful of nuts or avocado to meals.
Log breakfast and lunch consistently and try to space intake so the first bite is near 08:00 and the last bite by 19:30 to spread protein evenly, prevent long fasting gaps, and support steadier energy and recovery.
Confirm your glucose sensor status with the care team so we can reconnect food-to-glucose insights; until CGM is available, favor lower-GI swaps and include protein with higher-GI foods to blunt post-meal rises.

Detailed Notes

Only one complete food-logging day (Feb 16) is available and the daily calorie indicator flagged that day red, which limits trend analysis but clearly shows underfueling relative to your meal plan and goals.
Ingredient-level adherence is stronger than exact recipe matches; for example, the lentil soup you logged shares the same base ingredients and nutritional profile as the planned dal, so it still supports your goals even though it was not a recipe-level match.
Activity context matters: Feb 15 was a high-activity day with good HRV and calories burned, while Feb 16 steps were very low, so prioritizing consistent protein on workout days will better support recovery and the weight-management milestones you are following.

Sleep Analysis

Highlights

No highlights available

Recommendations

Wear your watch overnight with good skin contact and sufficient charge so we capture continuous sleep stages, HR and HRV across consecutive nights to reveal true patterns.
Establish a consistent bedtime and wake time across days and aim to increase total sleep by 30–60 minutes on most nights to support greater slow-wave consolidation and more stable REM.
Begin a short 10-minute bedtime autonomic-calming routine such as slow diaphragmatic breathing or a guided Heald App wind-down to promote smoother sleep initiation and preserve overnight HRV and REM continuity.

Detailed Notes

Technical summary for Feb 15 shows total sleep of roughly 5.8 hours with stage distribution of light ≈64%, REM ≈22%, deep ≈12%, overnight HRV ≈42 ms and a sleep score of 85; this pattern is consistent with a single restorative night but total sleep duration is modest for increasing slow-wave sleep.
Data-quality review indicates near-zero activity, HR and staging on Feb 14, Feb 16 and Feb 17 consistent with device non-wear or sync gaps rather than abrupt physiologic change; the resulting missingness prevents trend analysis and blocks evaluation of glucose–sleep relationships because no CGM data were recorded during the period.
Contextual linkage shows Feb 15 had a moderate daytime strain with recovery present alongside elevated overnight HRV, which aligns with evidence that daytime activity plus adequate recovery can improve sleep architecture; however causal inference is limited by single-night staging and absent glucose measurements.

Stress Analysis

Highlights

No highlights available

Recommendations

After high-strain days like Feb 15 adopt a 24–48 hour active-recovery window that keeps intensity low, add a 6-minute slow-breathing practice before bed to stimulate parasympathetic activation, and aim for a fixed screen-off time at least 45 minutes before bedtime to support overnight recovery.
Wear an HRV-capable device consistently overnight and during the day (Apple Watch, Fitbit, or keep the Siva watch worn every night) and confirm sleep-tracking is enabled and synced each morning so strain, HRV, and recovery can be captured continuously and interpreted reliably.
Introduce micro-recovery breaks during the day, for example a 90-second eyes-closed pause before or after demanding tasks and a 10-minute walk after a main meal, and start daily meal logging or confirm CGM sensor status so we can test whether glucose variability is contributing to low recovery.

Detailed Notes

The Feb 15 sequence shows a plausible causal chain where sustained moderate-high training load produced measurable physiological load, evident in higher steps and calories, elevated resting HR, and a recovery score <20, which aligns with established patterns where strain >17 impairs next-day recovery and signals need for reduced load.
HRV and recovery discordance is likely influenced by inconsistent device-source and missing-night captures: Feb 14 had HRV recorded without a sleep source, Feb 15 used the Siva watch, and Feb 16–17 have no HRV or sleep staging, so three-day HRV-direction interpretations are unreliable without consistent overnight data.
Nutrition and glucose data are insufficient to evaluate metabolic contributors to stress, with only two food logs on Feb 16 and no CGM data since Feb 2 per the recent touchpoint; restoring consistent meal logs or CGM coverage will allow testing whether nocturnal glucose variability is suppressing recovery.

Call Logs & Conversation

AI Call Summary

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Call Logs

Hey Saumya, it's great to connect with you. Mira this side from Heald and I am calling just to checkin on you. hope you're doing well.
I'm good. Thank you, Mira.
[warm smile] Lovely to hear — glad you’re doing okay. [gentle tone] Quick check: I noticed we haven’t received any glucose readings recently and meal logging was light the other day. How have you been with your sensor and logging lately? [soft pause]
Not very regular, I'll be honest.
[reassuring voice] That’s totally okay — thanks for being honest. [soft pause] Missing tracking happens to everyone sometimes. Can I ask what’s been the biggest barrier lately: the sensor sticking, forgetting to sync, or just time to log meals? [supportive curiosity] If you like, tell me one small thing I can help with right now.
I've just been busy. I've just been very busy, so I guess putting in reminders would be helpful.
[gentle tone] Totally understandable — busy days make tracking feel like one more thing on the list. I can’t set reminders for you, but I can help you make a simple plan that fits into your routine. Would you prefer a quick, time-based cue (like after breakfast and after dinner) or an activity-based cue (like right after your morning coffee and after you finish work)? [soft pause]
Activity based queue.
[supportive curiosity] Great — activity-based cues can feel more natural. [soft pause] Let’s pick two easy moments you already do every day. For example, right after your morning coffee and right after you wrap up work for the day. Which two small activities fit your routine better? If you want, name them and I’ll help you turn them into tiny, doable prompts you can set in your phone or calendar. [warm smile]
I guess right after my morning breakfast and, um, when I'm going to sleep at night.
[warm smile] Perfect — those are simple and easy to remember. [gentle tone] Here are two tiny prompts you can set up on your phone or tie to the activity itself: after breakfast — take thirty seconds to open the Heald app and log what you ate; before bed — spend thirty seconds logging any evening snack and making a quick note about how your day felt. [soft pause] Would you like a short phrase you can use as the notification text for each reminder, or help choosing the exact times to schedule them on your phone? [supportive curiosity]
Can you-
[gentle tone] Sure — I can help with that. [supportive...
Can you do that? Just send me, like, a quick text.
[reassuring voice] I can’t send texts directly, but I can write two short notification messages for you to copy into your phone reminders. [soft pause] Ready? Here are two options you ...
Yeah, that would be nice. Yeah.
[warm smile] Great — here are two short notification texts you can copy into your phone reminders. Notification one — after breakfast: "Log breakfast in Heald — quick note on what you ate." Notification two — before bed: "Evening check — log any snack and how you felt today." [gentle tone] Want slightly shorter versions or something more casual?
No, this is good. [clearing throat]
[gentle tone] Wonderful — glad these work for you. [soft pause] One small extra nudge: when you set the reminders, add a one-minute buffer after the activity so it becomes a tiny habit rather than another rushed task. [supportive curiosity] Is there any other way I can support you today with logging or your sensor setup? [warm smile]
No, I think this is good. Let's just try this out.
[warm smile] Love that — sounds like a great plan. [supportive curiosity] Try the reminders for a few days and see how it feels; I’ll check in with you tomorrow to hear how it went. [gentle tone] You’re doing the right kind of little step — proud of you for making a practical plan.
Thank you so much.
[warm smile] You’re welcome — I’m here for it. [gentle tone] Sleep well tonight, and I’ll check in tomorrow to hear how the reminders felt. [supportive curiosity] If anything pops up before then,...
All right.
[calm seriousness] Sounds good — rest well tonight. [warm smile] I’ll check in tomorrow to hear how the reminders went. If anything comes up before then, just tell me. Proud of you for trying this.
Okay, thank you. Bye-bye.
[warm smile] Bye for now — take care and sleep well. I’ll talk to you tomorrow.
Okay.
...
All right. Bye.
[warm smile] Bye — take care. I’ll be here when you need me.

Agent Conversation (text)

Hey Saumya, it's great to connect with you. Mira this side from Heald and I am calling just to checkin on you. hope you're doing well.

I'm good. Thank you, Mira.

[warm smile] Lovely to hear — glad you’re doing okay. [gentle tone] Quick check: I noticed we haven’t received any glucose readings recently and meal logging was light the other day. How have you been with your sensor and logging lately? [soft pause]

Not very regular, I'll be honest.

[reassuring voice] That’s totally okay — thanks for being honest. [soft pause] Missing tracking happens to everyone sometimes. Can I ask what’s been the biggest barrier lately: the sensor sticking, forgetting to sync, or just time to log meals? [supportive curiosity] If you like, tell me one small thing I can help with right now.

I've just been busy. I've just been very busy, so I guess putting in reminders would be helpful.

[gentle tone] Totally understandable — busy days make tracking feel like one more thing on the list. I can’t set reminders for you, but I can help you make a simple plan that fits into your routine. Would you prefer a quick, time-based cue (like after breakfast and after dinner) or an activity-based cue (like right after your morning coffee and after you finish work)? [soft pause]

Activity based queue.

[supportive curiosity] Great — activity-based cues can feel more natural. [soft pause] Let’s pick two easy moments you already do every day. For example, right after your morning coffee and right after you wrap up work for the day. Which two small activities fit your routine better? If you want, name them and I’ll help you turn them into tiny, doable prompts you can set in your phone or calendar. [warm smile]

I guess right after my morning breakfast and, um, when I'm going to sleep at night.

[warm smile] Perfect — those are simple and easy to remember. [gentle tone] Here are two tiny prompts you can set up on your phone or tie to the activity itself: after breakfast — take thirty seconds to open the Heald app and log what you ate; before bed — spend thirty seconds logging any evening snack and making a quick note about how your day felt. [soft pause] Would you like a short phrase you can use as the notification text for each reminder, or help choosing the exact times to schedule them on your phone? [supportive curiosity]

Can you-

[gentle tone] Sure — I can help with that. [supportive...

Can you do that? Just send me, like, a quick text.

[reassuring voice] I can’t send texts directly, but I can write two short notification messages for you to copy into your phone reminders. [soft pause] Ready? Here are two options you ...

Yeah, that would be nice. Yeah.

[warm smile] Great — here are two short notification texts you can copy into your phone reminders. Notification one — after breakfast: "Log breakfast in Heald — quick note on what you ate." Notification two — before bed: "Evening check — log any snack and how you felt today." [gentle tone] Want slightly shorter versions or something more casual?

No, this is good. [clearing throat]

[gentle tone] Wonderful — glad these work for you. [soft pause] One small extra nudge: when you set the reminders, add a one-minute buffer after the activity so it becomes a tiny habit rather than another rushed task. [supportive curiosity] Is there any other way I can support you today with logging or your sensor setup? [warm smile]

No, I think this is good. Let's just try this out.

[warm smile] Love that — sounds like a great plan. [supportive curiosity] Try the reminders for a few days and see how it feels; I’ll check in with you tomorrow to hear how it went. [gentle tone] You’re doing the right kind of little step — proud of you for making a practical plan.

Thank you so much.

[warm smile] You’re welcome — I’m here for it. [gentle tone] Sleep well tonight, and I’ll check in tomorrow to hear how the reminders felt. [supportive curiosity] If anything pops up before then,...

All right.

[calm seriousness] Sounds good — rest well tonight. [warm smile] I’ll check in tomorrow to hear how the reminders went. If anything comes up before then, just tell me. Proud of you for trying this.

Okay, thank you. Bye-bye.

[warm smile] Bye for now — take care and sleep well. I’ll talk to you tomorrow.

Okay.

...

All right. Bye.

[warm smile] Bye — take care. I’ll be here when you need me.