Current body battery is ok but in my opinion the linear decrease in percentage doesn’t match real life feel. The current body battery feature start high as soon as you wake up and gets lower during the day but sometimes is not that simple, for example a real time body battery (like the one from Athlytic) would show after a heavy meal a decrease followed by a increase once digestion is over or even when you wake up in the morning sometimes it would show a decrease for example to 35% (if your Hrv was lower or you slept bad) that might actually improve after some hours. The last example is when you drink a energy drink you can see the graph of how it affected body battery meanwhile in bevel you basically just see a decrease and that is it.

I have noticed one misleading metric and I am summarising how it should be calculated instead with AI summary. Feel free to reach out if there is further clarification needed.

The Problem:

Currently, the “Low Activity Alert” compares a user’s current accumulation of total energy (BMR + Active) to their daily average floor. This is logically flawed for mid-day snapshots. For example, at 1:00 PM, a user may be flagged as “low” even if they have already completed a high-intensity workout, simply because the day is only half over.

The Solution:

The alert logic should be updated from Accumulation-based to Projection-based. Instead of comparing current totals to daily targets, Bevel should calculate a “Projected Daily Total” to determine if a nudge is actually necessary.

Proposed Logic:

Projected Daily Total = (Active Calories Burned So Far) + (BMR x Remaining Hours in Day)

Why this matters:

• Reduces “Noise”: Prevents the app from “crying wolf” and sending redundant alerts to users who are already pacing to beat their goals.

• Contextual Accuracy: Accounts for the fact that a user’s metabolism (BMR) will continue to burn calories regardless of further activity.

• Actionable Coaching: Alerts should only trigger if the projected total falls below the target, signaling a genuine need for extra movement.

Example: where I was flagged as “Low” at 1,773 kcal despite being projected to hit over 2,600 kcal by midnight.

This total energy metric needs a bit more refined considering BMR based projection + activity gap.

In strain -> total energy there’s an average count however the today’s value is decreasing the actual average as the total energy is added even in sleep, so it makes sense to not include the today’s current value in the average counting.

Example:

If my total energy is 2700, 2600, 3900 and today 800. My average total energy should not be 2500 but 3067 as the 800 is not the final (total) number.

- Its often the case where it feels like im running low on energy and maybe Bevel’s energy bank supports this, but I am able to push through and keep going. On Bevel, as you get closer to 0% , the energy bank decreases at a decreasing rate and tends to 0 (it never reaches it), which is not physiologically accurate - you don’t disproportionately decrease your energy expenditure by resuming the same activities just because you are tired, if anything energy is used less efficiently - less efficient anaerobic dominance, neuromuscular fatigue, poor form - as you are more tired - running 10k while tired would drain you the same if not more than if you were energised.

- Example: I was very tired one evening, energy bank was low (around 11%) - however I was able to hike all night up a volcano and stay awake all of the following day, but I didn’t collapse or anything (i.e, what the language of 0% energy bank/body battery implies), and my body battery was at 1% for the majority of the 36 hours.

- So either, 1. we find out when your body is able to run off of adrenaline or whatever the biological explanation there is for it to keep going (which I doubt your apple watch can do - and body battery in itself is not a verified scientific concept), or 2. we use an idea like borrowed energy - energy usage below 0%, which will then subtract from future energy banks, or have an accurate biological collateral impact on future energy banks (find some biological proof) which is more realistic, as then your body has to do extra catch up on reenergising you - its a pointer to the user that you are now draining your body’s energy in an unsustainable and costly way.

- Other apps like Peakwatch give much more generous body batteries, but it always feels inaccurate in day to day life because it would say I end the day on 50% battery despite feeling tired, and that I would always be charged to 99-100% the next day regardless of how unrestful the sleep is

Barometric pressure changes and reduced sunlight affects of weather should be used in some way to calculate energy drain and strain targets, considering energy tends to run lower on such days. Previous day's hydration levels should also do this, particularly on hot sunny days, as insufficient water consumption results in lower energy the following day.

Last night my hrv was so high my energy bank filled to 100% despite getting less total sleep and less deep sleep than I need. Yesterday my energy bank and strain target range did not match how I felt. Please weigh sleep data more heavily, at least with regards to overnight energy bank charging. Dropping deep sleep time plus rising sleep debt amount should counteract unusually high hrv more. My energy bank was 100%, but probably should have been closer to 80% this morning. Thank you.