Select users have the opportunity to explore new, experimental capabilities and provide valuable feedback as they’re developed through Fitbit Labs. These users can find Labs in the You tab of the Fitbit app. From there, users can either opt-in to try out a lab or join a waitlist.
Testing new capabilities in Fitbit Labs will help Fitbit learn how users interact with these capabilities and how they can be improved. This helps Fitbit provide interesting and actionable information to you about your health and fitness data.
These labs are available for a limited time in Fitbit Labs. You might need a Fitbit Premium subscription or to meet additional eligibility criteria to access them.
Expand all Collapse AllSelect users can find Fitbit Labs in the You tab of the Fitbit app or a “Now” card invitation on the today page. Each lab within Fitbit Labs may have additional eligibility requirements. To check if you’re eligible to try out any labs:
- Check if a "Fitbit Labs" section is available under the You tab
in the Fitbit app.
- If yes, tap See all to check which Labs you’re eligible to join.
- Tap a lab to learn more or sign up.
- To join Fitbit Labs, you must first allow your data to be used for research and development.
- If this setting is off, you can review the Data shared for health research and product development consent when you tap a lab.
- Read the information and then tap Agree & Continue to turn on data sharing.
For more information on this setting, refer to How is my data used.
If you can’t find the Fitbit Labs section or if you get a message that there are no labs available for you right now, check back later. New labs might become available in the future. For a list of the currently available labs, along with any eligibility requirements, refer to Active Labs.
All Fitbit labs
To join any Fitbit Labs, you must turn on the Data shared for health research and product development consent. If you agree, when you use Fitbit products and services, Fitbit and Google will collect your data. This data will be used to research and develop new health and wellness products and services or to support health research.
You may opt out of this consent at any time. For details, refer to How to leave Fitbit Labs.
Individual labs
Fitbit Labs is made up of individual labs. These labs may be powered by various technologies, such as large language models, machine learning, and artificial intelligence, which continuously evolve.
You need to opt-in to each lab separately, and some labs may require you to sign an additional consent. Some labs limit your ability to participate in other labs.
Before you join a lab, you’re given information on what data we collect and how we plan to use it. Lab-specific consents may describe additional data that might be collected and how data is used for research and development of products and services, that includes those powered by machine learning technologies. For details, refer to lab-specific consents in the Fitbit app or the Active Labs section below.
You can opt out of individual labs at any time.
You can leave individual labs at any time:
- In the Fitbit app, tap your profile picture
Fitbit Settings
Fitbit Labs.
- Select the lab and tap Turn off.
- Confirm you want to Turn off the lab.
If you no longer want to share your Fitbit data for research and development:
- In the Fitbit app, tap your profile picture.
- Tap Fitbit settings
Manage data and privacy
Data shared for research and development.
- Read through the information in the app and then tap Turn off if you no longer want to share your data. If you turn off this feature, it won't delete any existing data.
If you decide you want to participate in Fitbit Labs again, sign up in the You tab .
Some labs are only available in certain locations and languages. These labs might have requirements such as an active Fitbit Premium subscription, a minimum age, or other eligibility criteria. For details on individual labs, check the Active Labs section below.
If a lab is currently full, you might find a button to Join the waitlist. You need to wait until more spots open up before you can join the lab. For more information on waitlists, refer to Why does a lab have a waitlist.
Labs are experimental, which means they are available for a limited time and eligibility requirements might change.
The Lab has ended
If a lab comes to the end of its life cycle, it's removed from Fitbit Labs and is no longer available to eligible Fitbit users.
Identifiable data you entered as part of a lab, such as feedback or survey responses (the “Lab Data”), is automatically deleted 6 months after the lab's end date. You may export or delete the Lab Data before that time. For more details, refer to How to manage my lab data.
Some labs work by analyzing your Fitbit data from other features in the Fitbit service. Feature data analyzed by a lab but you did not directly enter into a lab, such as step count or sleep score, will not be deleted. It continues to be available in the Today page in the Fitbit app.
Some labs may become available again in the future as new capabilities are added. You may have the opportunity to continue your participation at that time.
Lab eligibility
If the eligibility requirements for a lab change or you no longer meet them, you can no longer participate in the lab you previously joined. The lab appears with a prompt to “regain access” in your Labs settings.
If you correct any eligibility requirements (such as resubscribing to Fitbit Premium if required) within 30 days, the lab will become available in Fitbit Labs. You can then resume using it.
We won't collect any new data during the 30-day period while the lab says “regain access,” but some processing may occur. If you correct any eligibility requirements within 30 days, we'll resume data collection as part of the lab. Otherwise, after this period, you need to sign up and consent to the lab again if there are openings.
Labs are open to a limited number of participants. If you're given an option to Join the waitlist, it means the lab is full. Join the waitlist to receive a notification when more spots open up. When you receive the notification that the lab is open, be sure to sign up for the lab through the "Fitbit Labs" section in the You tab . The additional spots may be limited and you won’t be automatically added to the lab.
Export your lab data
To export identifiable Lab Data, follow the instructions in How do I export my Fitbit data?
Delete your lab data
You may choose to delete identifiable data that you entered as part of a lab (for example, feedback or survey responses). This will delete the selected data type for all the labs you participated in.
- In the Fitbit app, tap your profile picture
Fitbit settings.
- In the “Your data in Fitbit” section, tap Manage data and privacy
Manage your data.
- Swipe up to review the “Fitbit Labs & Research” section.
- Select a data type.
- Confirm that you want to delete the data.
Your lab enrollment history (for example, a record of which labs you joined) will be retained unless you delete your Fitbit account and service. Fitbit may also retain lab data that doesn’t directly identify you as described in lab-specific consents. Refer to How is my data used.
Active labs
Unusual trends FAQs
Important: Unusual trends is for research purposes only and is not intended to diagnose, treat, cure, mitigate, prevent, or alleviate any specific disease or condition. The information provided by Unusual trends should not be used to make medical decisions. Always consult with a qualified healthcare professional for any health concerns or before making any decisions related to your health.
Unusual trends is an experimental research capability available through Fitbit Labs. It's part of a research study designed to explore and provide awareness to the user when their physiological metrics trend away from their personal baseline. These trends are being studied to determine if they may be indicative of physical or emotional stress.
The research algorithm works with data collected by a consumer wearable device, such as a watch or tracker. It analyzes physiological metrics including heart rate variability, average heart rate during non-REM sleep, and average respiration rate during sleep. It then calculates a personal baseline for these metrics, and if the research algorithm identifies a significant change, users receive a notification prompting them to log circumstances and symptoms.
To get started with the Unusual trends research study, you must:
- Use the Fitbit app on an Android phone.
- Use the Fitbit app in English.
- Be located in the US.
- Be at least 22 years old.
- Sign in to the Fitbit app using a Google Account.
- Have an offer to join the Unusual trends lab on the You tab
in the Fitbit App.
There may be additional eligibility criteria that change over time.
Opt in to the lab to start tracking your health with Unusual trends:
- Open the Fitbit app.
- Go to the You tab
and scroll to the “Fitbit Labs” section.
- Tap See all and check if you received an offer to join Unusual trends.
- If yes, tap Unusual trends and follow the on-screen instructions to turn on the feature.
- Review and accept the lab-specific research consent.
- Wait until you receive a notification that informs you of an unusual trend.
- Take a survey to let us know how you feel. This feedback is essential data for our research.
Weekly, you’ll receive a notification to ask you to check in, even when there’s no unusual trend, to make sure we didn’t miss anything.
Specific daily health metrics collected from your Fitbit smartwatch, tracker, or Pixel smartwatch are used to identify potential unusual trends for research purposes. These metrics include Heart Rate Variability (HRV), non-REM (sleeping) heart rate, respiration rate, SpO2, and skin temperature. We analyze this data together with other Fitbit metrics, such as your sleep data, and your responses to study surveys.
Other Fitbit data on activity, sleep, and stress will also be recorded during the study. This data may be used to provide additional context and improve the underlying research algorithms.
To safeguard your privacy, all personally identifiable information (PII) is removed from your data, and each participant is assigned a unique study ID. Your data is then stored on secure backend servers with access restricted to authorized personnel. Only de-identified data is used for analysis, ensuring your privacy is protected throughout the study.
Our research focus is on analyzing trends and patterns in the de-identified health data to improve our algorithms and provide valuable insights.
Your feedback is essential for this research and to enhance the Unusual trends experience for all users. You can contribute in 2 ways:
Feedback on Positive Detections
- If Unusual trends detects a potential unusual trend, a dedicated card will appear on your Today tab. This card includes a button to access a brief survey. This card and its associated survey are persistent, available at any time, and don’t go away after the survey has been completed.
- We encourage you to complete this survey whenever your condition or symptoms change. This provides us valuable insights into the evolution of your health.
Feedback on General Well-being
- Even when Unusual trends doesn't detect any unusual trends, you can still access the feedback card to let us know how you’re feeling. This helps us clear out any false negative cases.
- We provide a weekly notification to remind you to check in and provide feedback, even when no detections have occurred.
When you provide feedback through these methods, you help refine the Unusual trend's accuracy and effectiveness.
As Unusual trends is currently an experimental research capability, it's important to understand its limitations. It is not validated for any specific health outcome or condition. However, previous studies have shown that the algorithm is typically associated with events that cause physical or emotional stress, such as:
- Respiratory illness
- Travel
- Alcohol consumption
We’re actively working to refine the research algorithm and gain a deeper understanding of the complex relationship between health metrics and potential health events.
Therefore, you may occasionally receive a positive detection notification that doesn't align with your perceived physical or emotional state. The algorithm may fail to identify trends even when you’re experiencing stress or other changes. Do not rely on Unusual trends for any health assessment.
We appreciate your patience and understanding as we conduct this research to continue to improve Unusual trends' performance and accuracy. Your feedback is crucial in helping us address these limitations and enhance the system's effectiveness.
- In the Fitbit app, tap your profile picture.
- Tap Settings
Fitbit Labs
Unusual trends.
- Tap Turn off.
- Confirm you want to turn off Unusual trends.
Unusual trends research algorithm tracks a combination of your metrics over several days, while the Health Metrics Dashboard mainly shows individual metrics from the last day. Because they use different algorithms and offer different ways of looking at your data, Unusual trends notifications may not always match your Health Metrics Dashboard.
The main purpose of the notification is to prompt you for timely feedback through the survey when our research algorithm has identified a pattern in your physiological metrics that differs from your baseline. It’s essential for our research to get your input at the specific time a pattern is flagged. It helps us learn whether the patterns identified by the algorithm are related to how users actually feel or experience things.
Your feedback is crucial to evaluate and improve this experimental technology.
Our research lead, Anthony Faranesh, PhD, can answer any questions about this Lab.
Mobile:
- 1-415-610-4848 Mondays to Fridays (9:00–5:00 PM Pacific TIme)
- 1-877-623-4997 (24 hours)
Email: gtrial@google.com
Always consult your healthcare provider for medical decisions. The notifications created in this study are not medical advice or diagnoses. Your healthcare practitioner is best equipped to provide personalized medical advice.
Fitbit Plan for Care Lab
Plan for Care Lab is a new experimental capability in Fitbit Labs for research-use only. When trying out this lab, users will be randomly assigned to a different set of instructions. It uses generative artificial intelligence (AI) to guide users through a series of symptom-related questions (depending on the instruction that is assigned) and provides the user with a set of possible associated reasons for symptoms as well as an estimation of urgency. The lab can also brainstorm with the user about upcoming visits and help users prepare.
The lab is not intended to:
- Diagnose
- Treat or cure
- Mitigate or prevent any disease or condition
- Be used as a substitute for professional medical advice
- Provide guidance to users to make specific changes to their medication or treatment plans
Always consult with a healthcare professional for any health concerns. Results may be inaccurate and should not be used to make decisions about your health.
IF YOU BELIEVE YOU ARE EXPERIENCING A MEDICAL EMERGENCY, CALL YOUR LOCAL EMERGENCY SERVICES IMMEDIATELY. DO NOT RELY ON THIS TOOL FOR URGENT HEALTH CONCERNS.
To be eligible, you need to:
- Be of legal adult age
- 18 or older in most US states
- 19 or older in Nebraska & Alabama
- 21 or older in Mississippi
- Be a Fitbit app user, signed in with a Google account on an Android smartphone
- Be located in the US and use the Fitbit app in English
- Review and accept the lab-specific consent
Important: This study is available for the first 10,000 eligible users who sign up. If this lab is already full, a wait list will appear and we’ll notify you if we expand our cohort.
If you meet the minimum requirements:
- From the Fitbit app’s You tab
, find the “Fitbit Labs” section.
- Tap See all and check for an offer to enroll in the lab.
- Tip: If there’s no available offer, the Fitbit Plan for Care Lab is not yet available on your account.
- Tap the lab and follow the on-screen instructions to turn on the feature.
- If yes, tap the lab and follow the on-screen instructions to turn on the feature.
- If not, the Fitbit Plan for Care Lab is not yet available on your account.
- Review, accept, and submit the lab-specific consent and questionnaire.
Plan for Care lab is designed as a research tool to help you explore and become more aware of potential reasons related to the symptoms you're experiencing or have experienced and help you prepare for upcoming doctor visits. You can use it when you notice new, changing, or chronic symptoms, and want to see a range of possibilities that might be associated with them. You can also use it when you have an upcoming visit you want to plan for.
Remember, this is for research purposes only and the results are not a diagnosis. For more information, see the limitations below.
This lab is an experimental research tool using generative AI. It has significant limitations.
- Plan for Care lab uses generative AI, which may sometimes lead to incomplete, out-of-date, or clinically inaccurate or misleading information. It is not a source of verified medical information.
- Plan for Care lab lets you use open free-text to respond to symptom questions. However, diverging from the structured conversation or attempting to respond back with questions of your own may not result in a detailed response.
- Misinterpretation of your input and responses is a potential limitation of this tool. The tool is designed for exploring general symptom patterns. It is not equipped to interpret complex medical data, provide specialized advice, for instance on drug interactions, or respond appropriately to all types of user input, especially those related to severe distress or mental health crises.
- The information provided by the Fitbit Plan for Care Lab is for research and informational purposes only and does not constitute medical advice or diagnosis. The LLM does not have medical expertise and cannot understand your full health context. Your healthcare practitioner is best equipped to provide personalized medical advice based on your complete medical history.
If you’re experiencing a medical emergency, contact emergency services. Do not rely on this tool.
Your data is used for research and development to improve our large language models (LLM) to improve the underlying language models' technical performance. This includes:
- User inputted conversation data: User-inputted conversation data like symptoms help evaluate the model’s ability to ask and answer questions.
- User Profile Data: User profile (e.g., Age, Sex) is used to verify study participation and is used to provide personalized model responses
- Fitbit Data: Wearable data may be analyzed alongside user symptoms to explore correlations and validate machine learning algorithms, but this data is not used to provide individual health insights or assessments within this lab.
- Survey Responses & AI Interactions: Feedback, questions, and healthcare provider notes help researchers understand user experience, utility, and the technical performance of the AI's responses within the research context.
Your data helps with research and development of Google products.
Data is de-identified, but complete anonymity is not guaranteed. The handling, use, and sharing of all your study data, including health details you choose to share, such as symptoms or diagnoses from your healthcare providers, are governed by the lab-specific research consent form.
Data collected during this research study is handled according to the security and privacy protocols outlined in the lab-specific research consent form.
After you complete the flow, you’ll have the opportunity to complete a brief survey to share your feedback. Your feedback will help us improve this feature.
For comprehensive details regarding how your data will be used, stored, and protected in the Plan for Care lab, please carefully review the lab-specific consent form that you accepted when you opted into the study. This consent form contains important information about:
- The types of data being collected, such as personal data, AI interactions, Fitbit data, survey responses, and user profile.
- How this data will be used for research and development, including the training of AI models.
- Data de-identification and potential data sharing.
- Your rights and responsibilities as a participant in this research study.
By reviewing the consent, you’ll gain a thorough understanding of how your information will be used to contribute to this important research on generative AI and symptom understanding.
There’s no compensation, monetary or otherwise, to participate in this study.
Yes, you can choose to leave the study at any time.
To leave the Fitbit Plan for Care Lab:
- In the Fitbit app, tap your profile picture.
- Tap Fitbit Settings
Fitbit Labs
Plan for Care Lab.
- Tap Turn off.
- Confirm that you want to exit the lab.
Our research team can answer any questions about this Lab.
Email: plan4care-study@google.com
Always consult your healthcare provider for medical decisions. The responses and resulting set of responses for symptoms created in this study are not medical advice or diagnoses. Your healthcare practitioner is best equipped to provide personalized medical advice based on your complete medical history.
Fitbit Hypertension Study Lab (Google Pixel Watch 3)
The Fitbit Hypertension Lab is a research study designed to help us learn how to use Pixel Watch data to identify early signs of Hypertension. The goal is to advance research that could one day help users take proactive steps toward better heart health.
This study will proceed in 2 parts:
- We’ll recruit up to 10,000 eligible participants to wear their Google Pixel Watch 3 as they normally would for 180 days.
- A subset of those participants will be asked to participate in an ABPM cuff study. We’ll mail out a blood pressure cuff, called an Ambulatory Blood Pressure Monitoring (ABPM) device, to wear for 24 hours. If a user is selected as a participant and agrees to participate, we’ll provide detailed instructions on how to use and return, and other study information.
No, the information from this study is for research purposes only and will not provide you with any medical advice, analysis, or feedback on your health. Always consult with a healthcare professional for any health concerns.
To be eligible, you need to:
- Be 22 years of age or older
- Live in the United States
- Use the Fitbit app in English
- Have a Pixel Watch 3
- Pixel Watch 1, Pixel Watch 2, and Pixel Watch 4 are not eligible
- Be able to fill in the questionnaire
- Pixel Watch Software Version: BP3A.250905.014 or later
- Tip: To check, go to Settings
About
Versions
Build number
- Tip: To check, go to Settings
- Fitbit app on your Pixel Watch: Version 3.45 or later
- Fitbit mobile app: Version 4.55 or later
- From the Fitbit app's You tab
, find the "Fitbit Labs" section.
- Tap See all and check for an offer to enroll in the lab.
- Tip: If there's no available offer, the Fitbit Hypertension Study Lab is not yet available on your account.
- Tap the lab and follow the on-screen instructions to turn on the feature.
- If yes, tap the lab and follow the on-screen instructions to turn on the feature.
- If not, the Fitbit Hypertension Study lab is not yet available on your account.
- Review, accept, and submit the lab-specific consent and questionnaire.
We’ll review your responses to check if you meet the study's criteria. We'll get in touch with you soon to let you know if you've been selected to participate.
Your data is used for research and development of Google products, and to advance research. This includes:
- Fitbit data: Wearable data collected as part of this lab to explore correlations and validate machine learning algorithms. This data is not used to provide individual health insights or assessments within this lab.
- Survey responses: Survey responses are used for research purposes and to help us identify participants who meet our inclusion criteria.
- User profile: Information verifies participation for the research study.
Data is de-identified, but complete anonymity is not guaranteed. The handling, use, and sharing of all your study data are governed by the lab-specific research consent form.
Data is de-identified, but complete anonymity is not guaranteed.
Data collected during this research study is handled according to the security and privacy protocols outlined in the lab-specific research consent form. The handling, use, and sharing of all your study data, including health details you choose to share, such as survey responses, are governed by the lab-specific research consent form.
For comprehensive details on how your data will be used, stored, and protected in the Fitbit Hypertension Study Lab, carefully review the lab-specific consent form that you accepted when you opted into the study. This consent form contains important information about:
- The types of data being collected, such as personal data, Fitbit data, survey responses, user profile, and if invited, ambulatory blood pressure monitor (ABPM) data
- How this data will be used for research and development, including the training of AI models
- Data de-identification and potential data sharing
- Your rights and responsibilities as a participant in this research study
By reviewing the consent, you’ll gain a thorough understanding of how your information will be used to contribute to this important research on hypertension.
You might notice a slight, temporary change in your watch’s battery life, but it should still last for a full day on a single charge.
As a thank you, participants who are selected to participate in the ABPM cuff study and safely return it, will receive a $50 gift card.
Yes, you can choose to leave the study at any time.
To leave the Fitbit Hypertension Study Lab:
- In the Fitbit app, tap your profile picture.
- Tap Fitbit Settings
Fitbit Labs
Fitbit Hypertension Study Lab.
- Tap Turn off.
- Confirm that you want to exit the lab.
Important: Always consult your healthcare provider for medical decisions.
Our research team can answer any questions about this Lab.
Symptom checker
Symptom checker is a new experimental capability in Fitbit Labs for research-use only. When trying out this lab, users will be randomly assigned to a different set of instructions. It uses generative artificial intelligence (AI) to guide users through a series of symptom-related questions (depending on the instruction that is assigned) and provides the user with a set of possible associated reasons for symptoms.
The lab is not intended to:
- Diagnose
- Treat or cure
- Mitigate or prevent any disease or condition
- Be used as a substitute for professional medical advice
- Provide guidance to users to make specific changes to their medication or treatment plans
Always consult with a healthcare professional for any health concerns. Results may be inaccurate and should not be used to make decisions about your health.
IF YOU BELIEVE YOU ARE EXPERIENCING A MEDICAL EMERGENCY, CALL YOUR LOCAL EMERGENCY SERVICES IMMEDIATELY. DO NOT RELY ON THIS TOOL FOR URGENT HEALTH CONCERNS.
- Before you start, you must:
- Use the Fitbit app on an Android phone.
- Be an adult:
- 18 or older in most US states
- 19 or older in Nebraska & Alabama
- 21 or older in Mississippi
- Be located in the US and use the Fitbit app in English.
- Review and accept the lab-specific consent.
- Sign in to the Fitbit app with a Google Account.
There may be additional eligibility criteria that change over time.
- Opt in to the lab to start a conversation with symptom checker:
- From the You tab
in the Fitbit app, find the “Fitbit Labs” section. Tap See all and check if you find an offer to enroll in the lab.
- If yes, tap the lab and follow the on-screen instructions to turn on the feature.
- If not, the symptom checker lab is not yet available on your account.
- Review and accept the lab-specific consent.
- Answer the series of symptom questions (depending on the instruction assigned).
- Read the final list of possible associated reasons for your symptoms presented as part of the research study. Remember, this list is for research purposes only, may be inaccurate, and is not a diagnosis or medical advice.
- If you’ve already talked with a healthcare provider about the symptoms you provided, please tap I’ve seen a healthcare provider. Otherwise, tap I haven’t seen a healthcare provider yet. If you haven’t seen a healthcare provider yet, we’ll follow-up with you 2 weeks later to ask you for any updates from your healthcare provider.
- Take the research survey to provide feedback on your experience with the experimental feature.
- Start over to provide symptom checker with a different set of symptoms or exit the lab.
Symptom checker is designed as a research tool to help you explore and become more aware of potential reasons related to the symptoms you're experiencing or have experienced. You can use it when you notice new, changing, or chronic symptoms, and want to see a range of possibilities that might be associated with them.
Remember, this is for research purposes only and the results are not a diagnosis. Always consult a healthcare professional for any health concerns.
As a research lab, there’s no limit to how many times you can use the Symptom checker for different symptom inquiries. We encourage you to try it with different sets of symptoms to help us gather more information for our research.
Your data is used for research and development to improve our large language models (LLM) to improve the underlying language models' technical performance. This includes:
- Symptoms: User-inputted symptoms help evaluate symptom checker's ability to ask relevant and investigative questions.
- Fitbit Data: Wearable data is analyzed alongside user symptoms to explore correlations and validate machine learning algorithms. This data is not used to provide individual health insights or assessments within this lab.
- Survey Responses & AI Interactions: Feedback, questions, and healthcare provider notes help researchers understand user experience, utility, and the technical performance of the AI's responses within the research context
- User Profile: Information verifies participation for the research study.
Your data helps with research and development of Google products.
Data is de-identified, but complete anonymity is not guaranteed. The handling, use, and sharing of all your study data, including health details you choose to share, such as symptoms or diagnoses from your healthcare providers, are governed by the lab-specific research consent form.
Data collected during this research study is handled according to the security and privacy protocols outlined in the lab-specific research consent form.
For comprehensive details regarding how your data will be used, stored, and protected in the symptom checker study, please carefully review the lab-specific consent form that you accepted when you opted into the study. This consent form contains important information about:
- The types of data being collected, such as symptoms, Fitbit data, survey responses, AI interactions, and user profile.
- How this data will be used for research and development, including the training of AI models.
- Data de-identification and potential data sharing.
- Your rights and responsibilities as a participant in this research study.
By reviewing the consent, you’ll gain a thorough understanding of how your information will be used to contribute to this important research on generative AI and symptom understanding.
After you answer all symptom-related questions and review the set of possible reasons for symptoms, you’ll have the opportunity to complete a brief survey to share your feedback. Your feedback will help us improve this feature.
To turn off Symptom checker:
- In the Fitbit app, tap your profile picture.
- Tap Fitbit Settings
Fitbit Labs
Symptom checker.
- Tap Turn off.
- Confirm that you want to turn off the Symptom checker.
If you want to participate again in the future, refer to How to get started with Symptom checker.
This lab is an experimental research tool using generative AI. It has significant limitations.
- Symptom checker uses generative AI, which may sometimes lead to incomplete, out-of-date, or clinically inaccurate or misleading information. It is not a source of verified medical information.
- Symptom checker lets you use open free-text to respond to symptom questions. However, diverging from the structured conversation or attempting to respond back with questions of your own may not result in a detailed response.
- Misinterpretation of your input and responses is a potential limitation of this tool. The tool is designed for exploring general symptom patterns. It is not equipped to interpret complex medical data, provide specialized advice, for instance on drug interactions, or respond appropriately to all types of user input, especially those related to severe distress or mental health crises.
- The information provided by the Fitbit Symptom checker Lab is for research and informational purposes only and does not constitute medical advice or diagnosis. The LLM does not have medical expertise and cannot understand your full health context. Your healthcare practitioner is best equipped to provide personalized medical advice based on your complete medical history.
If you’re experiencing a medical emergency, contact emergency services. Do not rely on this tool.
Comparing the potential reasons for symptoms presented by the tool with what you actually experience or learn later (perhaps from a healthcare professional), we gather essential data This comparison helps us evaluate whether the patterns our experimental algorithms identify might correlate with real-world user experiences. This helps us understand potential usefulness or limitations of this type of informational approach within a research context.
Your feedback is crucial for evaluating and potentially improving this experimental technology. Remember, this feature is purely for research, is experimental, and explicitly does not provide a medical diagnosis, medical advice, or replace consultation with a healthcare professional. Your participation helps us learn and evaluate this technology responsibly.
There’s no compensation, monetary or otherwise, to participate in this study.
Our research lead, Nichole Young-Lin, MD can answer any questions about this Lab.
Mobile:
- 1-877-623-4997 (24 hours)
Email: gtrial@google.com
Always consult your healthcare provider for medical decisions. The responses and resulting set of responses for symptoms created in this study are not medical advice or diagnoses. Your healthcare practitioner is best equipped to provide personalized medical advice based on your complete medical history.
Medical record navigator FAQs
Medical record navigator is a research study that explores a new experimental capability for research-use only. It uses generative AI to extract data from user-provided lab reports such as PDFs and images. In this research study you can generate a personalized summary of the lab report. This report includes educational content relevant to the specific lab results and based on established authoritative sources for research purposes only.
The application may also provide wellness information and healthy lifestyle recommendations. The lab is not intended to:
- Diagnose.
- Treat or cure.
- Mitigate or prevent any disease or condition.
- Be used as a substitute for professional medical advice.
- Provide guidance to users to make specific changes to their medication or treatment plans.
Always consult with a healthcare professional for any health concerns. Results may be inaccurate and should not be used to make decisions about your health.
- Before you start, you must:
- Use the Fitbit app on an Android phone.
- Be an adult:
- 18 or older in most US states
- 19 or older in Nebraska & Alabama
- 21 or older in Mississippi
- Be located in the US and use the Fitbit app in English.
- Review and accept the lab-specific consent.
- Sign in to the Fitbit app with a Google Account.
- Have access to a medical document that belongs to you and agree to upload this document to the Fitbit App, only for the purposes of this study.
- Successfully completed our pre-screening survey.
There may be additional eligibility criteria that change over time.
- Opt in to the lab to start a conversation with medical record navigator:
- From the You tab
in the Fitbit app, find the “Fitbit Labs” section. Tap See all and check if you find an offer to enroll in the lab.
- If yes, tap the lab and follow the on-screen instructions to turn on the feature.
- If not, the medical record navigator lab is not yet available on your account or you do not meet the criteria. For example, if you are not in the US.
- Review and accept the lab-specific consent.
- Upload an image or take a photo of your lab document.
- Wait for the summary to generate and read it.
- Take the survey.
- Ask follow-up questions related to the lab report or the generated summary.
- From the You tab
Your data is used for research and development to improve how our large language models (LLM) can summarize medical records. Your de-identified data is also used to enhance medical information literacy. This includes:
- Medical Documents: Uploaded documents help evaluate medical record navigator’s ability to extract and summarize medical data, ensure accuracy and understand diverse document types.
- Fitbit Data: Wearable data is analyzed alongside medical documents to explore correlations and validate machine learning algorithms.
- Survey Responses & AI Interactions: Feedback and questions help researchers understand user experience, utility, and AI's ability to answer medical queries.
- User Profile: Information verifies participation.
Your data helps us make improvements to our agents to summarize and describe medical information, contributing to product development.
Data is de-identified, but complete anonymity is not guaranteed. It may be shared internally, with research partners, and for AI training. Provided health record data is not HIPAA-protected.
All data from a lab report you upload is de-identified before it is used for research purposes.
For comprehensive details regarding how your data will be used, stored, and protected in the Medical Record Navigator study, please carefully review the lab-specific consent form that you accepted when you opted into the study. This consent form contains important information about:
- The types of data being collected (medical documents, Fitbit data, survey responses, AI interactions, user profile).
- How this data will be used for research and development, including the training of AI models.
- Information about data de-identification and potential data sharing.
- Your rights and responsibilities as a participant in this research study.
By reviewing the consent, you will gain a thorough understanding of how your information will be used to contribute to this important research on generative AI and medical record understanding.
After you upload a document and review the generated summary, you will have the opportunity to complete a brief survey to share your feedback. Afterwards, you can ask questions, and provide feedback on the generated responses by using the Thumbs up and Thumbs down
icons on each response. Your feedback will help us improve this feature.
While the medical record navigator is a helpful experimental research tool to learn more about your medical documents, keep in mind that:
- Medical record navigator uses generative AI, which may sometimes lead to incomplete, out-of-date or clinically inaccurate or misleading information. Only lab documents are supported and among these documents, blood labs work best.
- Not all follow-up questions are supported. Only questions about your lab documents will result in a detailed response.
- Misinterpretation of abbreviations, missing context (like provider notes), and the need for professional interpretation of ranges are all potential limitations of this tool. The information provided by the Fitbit Medical Record Navigator Lab is for research and informational purposes only and does not constitute medical advice or diagnosis. Your healthcare practitioner is best equipped to provide personalized medical advice based on your complete medical history.
To turn off Medical record navigator:
- In the Fitbit app, tap your profile picture.
- Tap Fitbit Settings
Fitbit Labs
Medical record navigator.
- Tap Turn off.
- Confirm that you want to turn off the medical record navigator.
The lab is designed to process medical laboratory reports. Blood work results yield the best result. Please ensure that the document you upload is a standard laboratory report. Documents outside of this format may result in errors as our system is designed to specifically interpret and summarize lab data
There are also certain factors that can impact its ability to extract information accurately. To ensure optimal performance, please verify that your lab document meets these criteria:
- The document is seven pages or less.
- The document is clear and fully within the frame when uploaded.
If your document meets these requirements and you still experience errors, it may indicate compatibility issues with the specific document type or size. In such cases, we recommend you to upload a different laboratory report.
As this lab is currently an experimental capability, the generated summary may contain inaccuracies or discrepancies compared to your original lab document. It's important to understand that AI models can sometimes produce outputs that are not entirely accurate.
Therefore, we strongly advise you to always refer back to your original lab document as the definitive source of information. Please do not make any medical decisions based solely on the generated summary.
We highly value your feedback as it helps us improve the medical record navigator. If you encounter any instances where the summary differs from your document, please share your experience through the provided survey. Your insights are essential to refine our system and improve its accuracy.
There is no compensation, monetary or otherwise, to participate in this study.
Our research lead, Anthony Z. Faranesh, PhD, can answer any questions about this Lab.
Mobile:
- 1 415-610-4848 Mondays to Fridays (9:00–5:00 PM Pacific TIme)
- 1-877-623-4997 (24 hours)
Email: gtrial@google.com
Always consult your healthcare provider for medical decisions. The summaries and responses created in this study are not medical advice. Your healthcare practitioner is best equipped to provide personalized medical advice based on your complete medical history.
Personalized Sleep Schedule Lab
This lab surveys your energy levels multiple times daily to analyze your responses and provide an evening sleep schedule. This schedule includes suggested bedtimes and wake times to help you get the optimal amount of sleep to meet your needs for the next day.
To get started, you must:
- Use the Fitbit app on an Android phone.
- Be located in the US and use the Fitbit app in English.
- Be at least 18 years old.
- Sign in to the Fitbit app using a Google Account.
- Review and accept the lab-specific consent.
- Make sure you have a sleep log for the day. If you didn’t sleep with one of the devices listed above, you can manually log your sleep in the Fitbit app.
- Have an offer to join the Personalized Sleep Schedule lab on the You tab
in the Fitbit App.
Opt-in to the lab to start getting your personalized sleep schedule:
- From the You tab
in the Fitbit app, find the Fitbit Labs section.
- Tap See all and check if you find an offer to Get a Personalized Sleep Schedule.
- If yes, tap on the tile and follow the on-screen instructions to turn on the feature.
- Review and accept the lab-specific consent.
- Setup survey and bedtime reminders
- Proceed to take your first survey.
Every morning after you log your sleep, you’ll receive a short 2-minute survey. This survey has multiple-choice and free-form questions about what might impact your upcoming night’s sleep. Your morning check-in survey is available until 10:00 AM in your app’s timezone.
Throughout the day, you’ll receive 3 one-question surveys that ask you to rate your energy levels. We use these surveys to help calculate your sleep needs for the next day.
Important: If you don’t complete your evening bedtime check-in before 11:00 PM, you won’t receive a Personalized Sleep Schedule for that day.
Every evening, you’ll receive a short 2-minute survey with multiple-choice and free-form questions about what might impact your upcoming night’s sleep. Your evening check-in survey is available until 11:00 PM in your app’s timeline.
After you complete the evening bedtime check-in, we’ll provide you with a Personalized Sleep Schedule.
After you complete your evening bedtime check-in, you’ll receive a personalized sleep schedule. This sleep schedule recommends a bedtime and wake time based on your current sleep debt and sleep needs. This calculation is derived from your last night of sleep data and your survey responses throughout the day. For best results, please complete as many of the daily surveys as you can.
If necessary, you’ll be able to adjust your recommended sleep schedule and give us optional feedback about your choice to do so.
When you sign up for the Personalized Sleep Schedule lab, you can enable survey and bedtime reminders. To adjust these settings:
- Open the Fitbit app.
- Tap on your profile picture
Fitbit Labs
Get a personalized sleep schedule.
- Tap on the setting you’d like to adjust to change the time of the reminder.
- You can also choose to enable or disable the notifications for survey and bedtime reminders.
Important: Personalized Sleep Schedule is designed to help you understand the optimal amount of sleep you need, but it’s not intended to provide medical advice. It should not be used to diagnose, treat, or cure any disease or medical condition.
While the Personalized Sleep Schedule can be a helpful tool to learn more about your recommended sleep schedule, there are a few limitations to keep in mind. This feature uses generative AI, which may occasionally generate inaccurate or misleading information.
For best results, be sure to wear your device regularly so Personalized Sleep Schedule has enough information to identify trends.
Many factors can impact your sleep quality. Here are a few key ones:
- Lifestyle Factors:
- Stress: High stress levels can make it difficult to relax and fall asleep.
- Irregular Sleep Schedule: Going to bed and waking up at different times each day can disrupt your body's natural sleep-wake cycle.
- Lack of Physical Activity: Regular exercise can promote better sleep, but try to avoid exercising too close to bedtime.
- Diet: Eating heavy meals or consuming caffeine or alcohol before bed can interfere with sleep.
- Screen Time: The blue light emitted from electronic devices can suppress melatonin production, and make it harder to fall asleep.
- Environmental Factors:
- Noise: A noisy environment can make it difficult to fall asleep and stay asleep.
- Light: Exposure to light, especially blue light, can disrupt your sleep. Make sure your bedroom is dark.
- Temperature: A cool, comfortable bedroom temperature is ideal for sleep.
- Medical Conditions:
- Sleep Disorders: Conditions like insomnia, sleep apnea, and restless legs syndrome can significantly impact sleep quality.
- Chronic Pain: Conditions that causes chronic pain can make it difficult to get comfortable and fall asleep.
- Other Health Conditions: Thyroid problems, heart conditions, and respiratory problems can also impact sleep.
- Medications:
- Some medications, which includes certain antidepressants, decongestants, and steroids, can disrupt sleep.
To provide feedback on a particular response, tap thumbs up or thumbs down
. You can provide additional details before you submit your feedback. If you have additional feedback or concerns, contact Fitbit support.
To turn off Personalized Sleep Schedule lab:
- In the Fitbit app, tap your profile picture
Fitbit Setting.
- Tap Fitbit Labs
Personalized Sleep Schedule lab
Turn off.
- Confirm you want to Turn off Personalized Sleep Schedule lab.
If you want to participate again in the future, follow the instructions in How to get started with the Personalized Sleep Schedule lab.
Inactive labs
These labs have ended. Thank you for participating to help make Fitbit better.
Insights explorer
This lab ended on February 28, 2025.
This lab uses prompts to check for insights. Check the table below for examples.
|
Insight category |
Example |
|
Averages |
“What was my average daily step count last month?” |
|
Trends |
“How are my Active Zone Minutes trending?" |
|
Correlations |
“Do my Active Zone Minutes have an impact on my resting heart rate?” |
|
Highest or lowest values for a period |
“What day did I sleep the longest last month?” |
|
Medians |
“What is the median number of steps I have taken this year?” |
|
Personal bests or worsts |
“When was my most restful night of sleep last month?” |
|
Comparisons |
“How did my bed time differ on weekends versus weekdays last month?” |
|
General explanations and definitions of health and wellness terms |
What is resting heart rate?” |
For best results, wear your Fitbit device often so that insights explorer has enough data to analyze. For example, if you want to ask about trends in your sleep score, wear your device to sleep as often as you can.
For more information about what data insights explorer supports, refer to What Fitbit data can insights explorer use to answer questions.
To get started with insights explorer, you must:
- Have an active Fitbit Premium subscription.
- Use the Fitbit app on an Android phone.
- Be located in the US and use the Fitbit app in English.
- Be at least 18 years old.
- Sign in to the Fitbit app using a Google Account.
- Have an offer to join the Insight Explorer lab on the You tab in the Fitbit App.
There may be additional eligibility criteria that change over time.
Opt-in to the lab to start a conversation with insights explorer:
- From the You tab
in the Fitbit app, find the Fitbit Labs section. Tap See all and check if you find an offer to join insights explorer.
- If yes, tap insights explorer and follow the on-screen instructions to turn on the feature. Review and accept the lab-specific consent.
- Type your question or request into the textbox at the bottom of the screen and tap the send button
.
Insights explorer supports some activity, sleep and heart metrics such as: steps, Active Zone Minutes (AZM), sleep score, sleep duration, bed/awake time, deep/light/REM sleep, heart rate variability (HRV), and resting heart rate (RHR).
Support for additional data types may be added in the future.
You may receive an error message if you ask insights explorer about data it’s unable to access.
When you opt-in to insights explorer, you can review and accept the lab-specific consent.
When you ask a question in insights explorer, your data may be analyzed to provide a response to your question. It uses LLMs, a type of generative AI, to analyze your data and create insights for you, including trends, summaries, explanations, and charts. We use this data to provide, improve, and develop products and services as well as machine learning technologies.
To help with quality and to improve our products, human reviewers may read, annotate, and process any queries, data used to respond to your queries and the related responses to your queries generated by this feature. We may retain this data for up to 3 years.
You can turn this feature off from settings. If you turn off this feature, it won't delete any existing data.
Refer to the insights explorer consent in the Fitbit app for more details.
To provide feedback on a particular response, tap the thumbs up or thumbs down
. You’ll be able to provide additional details before submitting your feedback. If you have additional feedback or concerns, contact Fitbit support.
While the Fitbit insights explorer can be a helpful tool to learn more about your activity and health data, there are a few limitations to keep in mind.
Insights explorer uses generative AI, which may sometimes lead to inaccurate or misleading information. You may notice a delay of up to 48 hours before your most recent data is available to analyze. For best results, be sure to wear your device regularly so insights explorer has enough information to identify trends.
Only certain data types are supported, so you may receive an error message if you ask about data that isn't yet supported. For more information about what data insights explorer supports, refer to Fitbit data that insights explorer can use to answer questions.
Keep in mind that insights explorer is designed to help you analyze your data, but it's not intended to provide medical advice. It should not be used to diagnose, treat, or cure any disease or medical condition.
To turn off insights explorer:
- In the Fitbit app, tap your profile picture.
- Tap Fitbit Settings
Fitbit Labs
Insights explorer
Turn off.
- Confirm you want to Turn off insights explorer.
If you want to participate again in the future, follow the instructions in How to get started with insights explorer.
Sleep Insights & Tips
This lab ended on February 28, 2025.
To provide insights into your habits, Sleep Insights & Tips analyzes your sleep patterns. It offers a sleep journal, tracks how your habits affect sleep, gives personalized suggestions, and recaps your weekly progress.
Available on Fitbit App. Visible to Premium and Non-Premium users.
While Sleep Insights & Tips can be a helpful tool for learning more about your sleep data, there's a few limitations to keep in mind. This feature uses generative AI, which may occasionally lead to inaccurate or misleading summaries. For the best results, be sure to wear your device regularly so Sleep Insights & Tips has enough information to identify trends.
Tip: Sleep Insights & Tips is designed to help you analyze your data, but it's not intended to provide medical advice. It shouldn't be used to diagnose, treat, or cure any disease or medical condition.
To get started, you must:
- Use the Fitbit app on an Android phone.
- Be located in the US and use the Fitbit app in English.
- Be at least 18 years old.
- Sign in to the Fitbit app using a Google Account.
- Review and accept the lab-specific consent.
- Make sure you have a sleep log for the day. If you didn’t sleep with one of the devices listed above, you can manually log your sleep in the Fitbit app.
- Navigate to the Today tab
in the Fitbit app.
- Tap Start Reflection from the promo card or tap the Sleep duration tile
.
- Navigate to the daily sleep screen.
- Tap Start Reflection from the promo card.
- Fill out the survey prompts and tap Continue.
- Journal your sleep experience.
- Tap Submit, Save, or Delete.
Once done, you'll receive your daily summary. You can then provide optional feedback.
Once you complete your daily journal, Sleep Insights & Tips uses LLM, a type of generative AI, to analyze the following to provide you with a daily summary:
- Survey responses
- Journal responses
- Device data
Your daily summary links your sleep, survey, and journal entries to show how they might be connected. The daily summary lets you identify trends that help you build and maintain healthy habits, and break unhealthy habits to support your sleep health. You can find the daily summary on your daily sleep screen and in the Today tab.
At the end of each week, Sleep Insights & Tips uses AI to summarize your sleep based on your survey, journal, and device data.
The summary includes details and data about your sleep trends for the week, and tips to improve your sleep. You may also be asked to opt-in to personalized missions that track specific sleep recommendations based on the details you provided in your daily journal.
Review your weekly sleep summary:
- From the Today tab
in the Fitbit app, tap the Sleep duration tile
.
- Tap on week, and swipe back to the week you wish to review.
You must complete at least 4 daily journals during the week to receive a weekly recap summary. To check when your week starts and ends:
- In the Fitbit app, tap your profile picture.
- Tap Fitbit Settings
App Settings
Date, time, units
Week starts on.
Many factors can impact your sleep quality. Here are a few key ones:
- Lifestyle Factors
- Stress: High stress levels can make it difficult to relax and fall asleep.
- Irregular Sleep Schedule: Going to bed and waking up at different times each day can disrupt your body's natural sleep-wake cycle.
- Lack of Physical Activity: Regular exercise can promote better sleep, but try to avoid exercising too close to bedtime.
- Diet: Eating heavy meals or consuming caffeine or alcohol before bed can interfere with sleep.
- Screen Time: The blue light emitted from electronic devices can suppress melatonin production, and make it harder to fall asleep.
- Environmental Factors
- Noise: A noisy environment can make it difficult to fall asleep and stay asleep.
- Light: Exposure to light, especially blue light, can disrupt your sleep. Make sure your bedroom is dark.
- Temperature: A cool, comfortable bedroom temperature is ideal for sleep.
- Medical Conditions
- Sleep Disorders: Conditions like insomnia, sleep apnea, and restless legs syndrome can significantly impact sleep quality.
- Chronic Pain: Conditions that causes chronic pain can make it difficult to get comfortable and fall asleep.
- Other Health Conditions: Thyroid problems, heart conditions, and respiratory problems can also impact sleep.
- Medications
- Some medications, which includes certain antidepressants, decongestants, and steroids, can disrupt sleep.
To delete your sleep journal data:
- In the Fitbit app, tap your profile photo.
- Tap Your data
Deletion options.
- Scroll to the Fitbit Labs & Research section and tap Surveys & feedback
Delete all surveys & feedback data.
To turn off:
- In the Fitbit app, tap your profile picture.
- Tap Fitbit Settings
Fitbit Labs
Sleep Insights.
- Tap Turn off.
- Confirm you want to turn off Sleep Insights & Tips.
Tip: Turning off Sleep Insights & Tips won’t delete your data.
*This feature is not intended to diagnose, prevent, mitigate, treat, or cure any disease, injury or medical condition and should not be relied on for any medical purposes. It is intended to provide information that can help you manage your wellbeing. If you have any concerns about your health, please talk to a healthcare provider.
**By using the insights explorer or the Sleep Insights and Tips features and asking for an AI-generated response or summary, you agree your use is subject to the Google Terms of Service.