Caffeine to recovery/sleep coorelation (Numeric correlations)
in progress
Leah
marked this post as
in progress
Leah
Merged in a post:
Half-life of Nutrients
K
Konrad Mertner
It would be tremendously helpful to see the half-life of caffeine, alcohol and nutrients as well as its effects on training and sleep. It makes a difference if I drink a cup of coffee in the morning or afternoon - but the journal and it’s correlation feature doesn’t account for that.
Leah
Merged in a post:
Caffeine later in the day
A
Andrew Min
It would be great to include in the journal if you took caffeine late in the day (eg after lunch). I found that in WHOOP to be a bigger predictor of sleep quality vs how much I drank. A coffee in the evening is killer.
E
Ed I
Same for alcohol please!
Amanda
Merged in a post:
Caffeine Guidance
S
Sresth Gupta
would love some sort of guidance in the nutrition tab for when to consume caffeine and to somehow track how it affects energy and rhr. Would be great if it could learn how caffeine affects you and can tell u to drink a certain amount of caffeine at a certain point in time to maximize energy or make up for bad sleep days
Amanda
Merged in a post:
Request for Caffeine Timing Feature
Urvaksh Avanthsa
Hey Bevel Health Team,
I love using the Bevel App and appreciate the insights it provides! I was wondering if you’ve considered incorporating a caffeine timing feature that suggests when to start and stop caffeine based on individual sleep and recovery data.
I think it could be really helpful for optimizing energy levels while supporting better sleep. Would love to know if something like this is on your radar!
Thanks!
Amanda
Thank you for the suggestion Urvaksh Avanthsa! Currently, you can see the effects of caffeine in journal insights, but not on a micro level (timing, amount) as this requires much more data and granularity. This is something we can consider for future!
Amanda
Merged in a post:
Advanced Habit Analytics
Tyler Padniewski
From my perspective, while the app already allows for precise logging of consumables like water (in milliliters) and caffeine (in milligrams), what’s missing is an in-depth analysis of how these inputs affect overall health metrics. I’d propose introducing an advanced analytics feature that correlates these logged values with key indicators such as recovery scores, sleep quality, stress levels, and energy trends. This would help users understand, for example, if a higher caffeine intake on certain days correlates with poorer sleep or if increased water consumption improves recovery metrics. Such insights could empower users to fine-tune their habits and optimize their performance and well-being.
Amanda
Hi Tyler Padniewski, great suggestion. This is something we're actively working on. Stay tuned :)
Autopilot
Merged in a post:
Auto. add for macronutrients
A
Andi Ko
May auto. add macronutrients (like caffein or magnesium) to see how protein, carbs and fat impact recovery, sleep and strain.
Load More
→