I like tracking things that WHOOP’s journal doesn’t cover like screen time. Could there be an option to add my own custom entries?
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Hi Jeff, thank you for reaching out and expressing interest in this feature idea. The current set of trackable behaviors in the Journal is curated based on extensive research and data analysis to ensure the reliability of the insights we provide. Introducing custom journal entries presents challenges in maintaining this level of accuracy, as unstandardized data could lead to less reliable correlations and recommendations.
That said, we continually evaluate our features and consider user feedback in our development process. While custom entries are not available at this time, your input is invaluable, and we will take it into account as we assess potential updates to our platform.
If you have specific behaviors you’d like to track that are not currently available, please let us know. We regularly review and expand our list of trackable behaviors based on member suggestions and emerging research, and it could be that one of the behaviors you’re looking to add may be added in the future.
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I’ve been experimenting with Kava and would be curious how it impacts my sleep and recovery.
Hi, Durkin
Will you consider adding nmn(Nicotinamide Mononucleotide)/nad+ in the journal entry?
Thanks
Durkin,
Your response “Introducing custom journal entries presents challenges in maintaining this level of accuracy, as unstandardized data could lead to less reliable correlations and recommendations.“ doesn’t make sense as you would treat the new jornal entry the same way as to avoid data quality issues. I seriously suggest adding custom journal fields as this is a major product overlook in your development process. All users bodies are different so having one set of behaviors that cover your entire user population isn’t realistic. It would be very easy to allow users to add fields or customize existing fields because your analytics are really only pulling off of if that field had a positive or negative correlation with recovery, sleep quality, etc and not the exact data in the field. Customers are paying top dollar for your technology and expect a top notch user experience on the journal feature like the one that is offered throughout the rest of the application.
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+1 completely agree with above, for me personally that’s the one thing stopping me from feeling satisfied with the whoop journaling experience versus the one you get with smart rings. Yes the journal tracks generic activities but it does not feel personal and I feel myself not excited in terms of the value for effort ratio. Being able to have custom activities link to the journal is one such use case that would establish the whoop as my designated wearable for much longer
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Completely agree with the above few posts! Custom journal entries would really make a big difference here. I want to know if various supplements are impacting sleep/mood/workouts/etc. very important to add this functionality!!!
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Please please add custom entries!! I want to track more specific items. Wine vs beer instead of alcohol, fried foods, cookies (i swear mess me up). If not custom, why not have an extended section that is just chalked loaded with things.
Just recently joined the Whoop family! I was experimenting with the Journaling, but I find it rather limiting. Please add the possibility to personalise journal entries/behaviours. That would be amazing for checking sleep aids. For instance, it is already well reported in the literature that the following supplements helps with sleep:
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apigenin
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magnesium threonate (magtein)
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passion flower extract
Why not simply enabling a feature to create custom behaviour? I find it rather odd. I see plenty of people requesting it, both here and in other channels such as Reddit. I find it rather limiting.
I wrote to Whoop months back that custom behaviours in whoop journal could be easy to implement by use of an AI funnel and the Behaviour scientists on staff.
In the backend, when entering a custom behaviour, I imagine the system would walk the coach AI through what it is they want to track and the Coach AI can follow a database of basic or approximate behaviours. These would be based on what’s already developed and new sets. It can ask clarifying questions and match it to existing or similar options to keep data ”closer together”. They can follow a strict Operational Definition as defined with the Bx Science team. Then any differences can be noted, reviewed, aggregated or separated for Whoop’s own data purposes.
I picture myself asking whoop coach to add a custom journal entry for L-glutamine and L-glycine supplements for example; the conversation could start by confirming the behaviour is following a supplement regimen; they are now categorized (supplements; vs recovery or lifestyle or nutrition or medication or whatever categories already exist in Whoop’s Bx hierarchy), and ask the user what they’re looking to learn about (changes to recovery or stress or sleep efficiency or whatever). The user logs at least five Y and N, and begins to share insights from the hypothesis.
Also I beg - Please fix the insight pages - stretching up to that top corner to hit a giant X which behaves as though it’s invisible is really off-putting for users.
Whoop keeps reasonable aggregated statistics and users have substantial more custom journal control. Remember, from a user’s perspective, custom journal entries make valid sense because whoop is a measurement of N=1. Thanks Whoop folks! Looking forward to some positive Bx change!
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I totally agree with everyone above. Custom feelds are necesity. Especial when we have optio “Other” or “Other - recovery” . Custom feelds could be treated as “other” and do not show any impact on strain, recovery etc. At last addding custom feelds in journal would be helpfull for us to track new things that we are adding.
I’m also postive that custom would give you important data about customers needs and what type of activity should be researched by WHOOP team and implemented permanently to app
Personally I would love to add my biohacking activiteies:
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Hydrogen inhalations
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Mendi head band
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Red light therapy specifically for hair (btw. There is only one position fon RLT which is problematic as I use different light lengths targeting different issues)
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BEMER for PEMF
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Nurosym (vagus nerve stimulation)
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Bright light 10000lux (antidepressant lamp)
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Eight Sleep bed
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Muse headband
Btw. Combining two activities is also important. For exampl I tend to do Meditation + Muse head band. Morning workout with Led 10000 lux lamp. Red light with hydrogen inhalation etc.
Hi Durkin, Im curious where your product team is at with this feature request. Ive been working on an app myself that allows a user to enter its own fields with the goal to find basic correlations, but it makes way more sense to do it within the whoop app. The correlations logic doesn’t have to be complex at all.
I’m hoping you can drastically expand the scope of this feature. It can truly put diagnostics power in the hand whoop users, whatever they are trying to figure out.
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There’s an almost endless option of journal entries, but no option for custom entries like custom exercises. There’s just one for mouth tape, but I would like to have an additional one for nose strip. Sometimes I combine them and sometimes just one of them. And I want to track the impact of Glycin intake on my sleep performance. I would be fine by adding those options vs a custom journal entry and believe there’s plenty of research around those two.
Custom journal items would be very good. As the custom fields would be shared with Whoop it would also help you with your research to understand which habits, behaviours, situations etc that your users are interested in.
I appreciate the note about quality of information but I am pretty sure users would be glad to have custom entry titles in a different colour and with a caveat. At the end of the day, the data quality from any objective (yes/no) category is equivalent. I take medications and supplements and have habits that probably affect my recovery but I won’t find out unless you allow custom entries.
If it is technically difficult to implement, then in the meantime users could be periodically given a vote for which categories they want adding, and if the most popular go in then that would be a start.
With research you often only find what you are looking for, and miss unexpected insights when the perspectives are limited.