Point Health Insights
As your user goes through their health journey, Point automatically generates actionable health insights that will help your users achieve maximal health and wellness. These insights can be wrapped in custom copy text, so you can recommend helpful actions for them to take in your product or platform, using Point's real-time health intelligence system.
In this page, you can find a complete description of the AI-powered health insights Point surfaces for your users - automatically, using your users' biometric data.
See also the Insight API page for further reference such as the insight metadata (i.e. additionalFields).
Workouts
These insights target workouts, which are periods of exercise activity detected by your users' wearable devices.
Heart Rate Zones
Heart Rate Zones monitor how hard your body is working during fitness activities over the course of the day, as relative to your maximum heart rate.
These HR Zones indicate which “fuel” your body is burning and can be useful when targeting fat burning exercise or athletic performance. Heart rate zone training is an effective way of regulating workout or exercise intensity to yield weight loss or performance goals.
Different zones are appropriate for different lifestyles and fitness goals. For example, lower zones (like HR Zones 1 and 2) promote fat burning, whereas higher zones (like HR Zones 3 and 4) are best suited for individuals looking to optimize their athletic performance. HR Zone 5, the most intense zone, is only recommended for power users, and even then, in moderation.
Point automatically provides the following HR Zone tips out-of-the-box:
| Insight | Description | Example Recommendation | Metadata ("additionalFields") |
|---|---|---|---|
| week_hr_zones_low_minutes_burn_fat | Guidance to burn fat more effectively by targetting HR Zones 1, 2, and 3 for the week | You’re almost at your goal for the fat burn zones - try working out for an additional {{zone2.mins_remaining}} minutes in HR Zone 2 ({{zone2.zone_range[0]}} - {{zone2.zone_range[1}}bpm) by the end of the week! | { zone1: { mins_so_far, mins_ideal, mins_remaining, zone_range }, zone2: {…} } |
| week_hr_zones_low_minutes_burn_carb | For users with an active exercise routine, guidance on to burn carbs more effectively by targetting HR Zones 3 and 4 for the week | You’re almost at your goal for the carb burn zones - try working out for an additional {{zone3.mins_remaining}} minutes in HR Zone 3 ({{zone3.zone_range[0]}} - {{zone3.zone_range[1}}bpm) by the end of the week! | { zone3: { mins_so_far, mins_ideal, mins_remaining, zone_range }, zone4: {…} } |
| week_hr_zones_high_minutes_burn_carb | Guidance to burn fat more effectively for users that are spending too much time in the higher HR Zones this week (lower zones are more effective for weight loss) | You are spending a lot of time in the non-fat burning zones - next week, try spending more time in the lower zones (under {{zone4.zone_range[0]}}bpm). | { zone4: { mins_so_far, recommended_max_mins, mins_over, zone_range }, zone5: {…} } |
| workout_hr_zone5_high_minutes | Alerts that this user has spent too much time in HR Zone 5 in a particular workout | You had a very intense {{workout_type}} recently, where you spent {{mins_hr_zone_5}} in the most intense Heart Rate Zone. This can harm recovery, body mass composition, and athletic performance. Next time you work out, try spending more time in the lower HR Zones! | mins_hr_zone_5 recommended_max_mins mins_over workout_type workout_id severity zone_range |
| week_hr_zone5_high_minutes | Alerts that this user has spent too much total time in HR Zone 5 this week | You had a very intense week of workouts last week, spending {{mins_hr_zone_5}} in the most intense Heart Rate Zone. This can harm recovery, body mass composition, and athletic performance. Next week, try spending more time in the lower HR Zones! | mins_hr_zone_5 recommended_max_mins mins_over zone_range |
Workout Intensity
Workout Intensity is a Point workout statistic that measures overall cardiointensity for a workout. It is proportional to the user's Excess Post-Exercise Oxygen Consumption (EPOC) after a workout, also commonly known as "afterburn". The effects of workout intensity can last up to 24 hours after the user finished their workout.
High workout intensity indicates the user just did a challenging workout that caused elevated levels of oxygen consumption. Generally, the user should take some additional time to recover after such an intense workout.
Low workout intensity indicates the user is not challenging their respiratory system enough, and should try slowly tackling harder workouts.
Point automatically provides the following Workout Intensity insights out-of-the-box:
| Insight | Description | Example Recommendation | Metadata |
|---|---|---|---|
| workout_intensity_too_high | Alerts that the user just completed a significantly more intense workout than they typically do | Great job pushing yourself in your recent {{workout_type}} workout! That was intense for you - try spending some additional time recovering today and tomorrow. | workout_intensity_percentile workout_type workout_id |
| day_intensity_too_high | Alerts that today was an intense day of workouts for the user | Great job pushing yourself today! Today was intense for you - try spending some additional time recovering the next couple days. | day_intensity_percentile date |
| first_workout_in_a_while_intensity_too_high | For users that haven't worked out in at least a week, alerts that their first workout in a while was significantly more intense | Great job working out today! You had a really intense {{workout_type}} workout - try taking things slow, and make sure to rest and recover before your next workout! | workout_intensity_percentile workout_type workout_id days_since_last_workout |
New Records
New Records are notifications that a user just broke their personal best for a workout!
Use these insights as opportunities to reward the user for their hard work, and encourage them to aim still higher in their fitness journey.
Point automatically provides the following New Record notifications out-of-the-box:
| Insight | Description | Example Recommendation | Metadata |
|---|---|---|---|
| record_calories_burned | Notifies when the user breaks their all-time record for highest calories burned for a specific workout type with their most recent workout of that type | You just burned {{record}} calories in a single workout - a new record! | workout_type record previous_record |
| record_exertion_rate | Notifies when the user breaks their all-time record for highest exertion rate for a specific workout type with their most recent workout of that type | You just had your most efficient {{workout_type}} workout ever - burning {{record}} calories/min! | workout_type record previous_record |
| duration_tip | Provides a tip to nudge the user to do a longer workout next time | You had a great workout today - your longest since {{period}}! | most_recent_workout_duration most_recent_workout_type pct_change period nudge |
Workout Trends
Workout Trends are longer-term insights that capture various workout statistics for the user, based on the last 3 months of workouts.
This information only changes on a rolling 3-month basis, so offer historical insights on the user's typical workout behavior.
Point automatically provides the following Workout Trends out-of-the-box:
| Insight | Description | Metadata |
|---|---|---|
| record_calories_burned_across_all_workout_types | Indicates the user’s all-time record for highest calories burned in a workout (across all workout types) | workout_type record |
| record_exertion_rate_across_all_workout_types | Indicates the user’s all-time record for highest exertion rate in a single workout (across all workout types) | workout_type record |
| most_efficient_workout_type | Indicates the user’s workout type with the highest average exertion rate | workout_type avg_value |
| longest_workout_type | Indicates the user’s workout type with the longest average duration | workout_type avg_value |
| avg_workout_calories_burned | Indicates the number of calories the user burns on average per workout (over the last 3 months) | avg_value |
| avg_workout_duration | Indicates the amount of time the user workouts out for on average per workout (over the last 3 months) | avg_value |
| avg_workout_exertion_rate | Indicates the user’s average exertion rate (over the last 3 months of workouts) | avg_value |
| usual_workout_time | Indicates the hour the user most frequently works out at | hour |
Workout Time Optimization
Workout Time Optimization insights use the user's workout metrics (like calories burned and average exertion rate) to guide the user on the best time-of-day to work out.
If your product has real-time workouts that get released in the morning or evening, use these insights to segment your users based on their personal optimal times to work out.
Point automatically provides the following Workout Time Optimization insights out-of-the-box:
| Insight | Description | Example Recommendation | Metadata |
|---|---|---|---|
| exertion_optimal_am | Indicates that, on average, the user shows significantly higher average exertion during morning workouts | You work {{pct_change}} harder in the mornings, early bird! | change pct_change |
| exertion_optimal_pm | Indicates that, on average, the user shows significantly higher average exertion during evening workouts | You work {{pct_change}} harder in the evenings, night owl! | change pct_change |
| calorie_burn_optimal_am | Indicates that, on average, the user burns significantly more calories during morning workouts | You burn {{pct_change}} more calories in your morning workouts - keep it up! | change pct_change |
| calorie_burn_optimal_pm | Indicates that, on average, the user burns significantly more calories during evening workouts | You burn {{pct_change}} more calories in your evening workouts - keep it up! | change pct_change |
| duration_optimal_am | Indicates that, on average, the user works out significantly longer in the mornings | You work out {{pct_change}} longer in the mornings - great work! | change pct_change |
| duration_optimal_pm | Indicates that, on average, the user works out significantly longer in the evenings | You work out {{pct_change}} longer in the evenings - great work! | change pct_change |
Recovery
These insights target recovery, which is a vital, if under-utilized, component of personal health and wellness - regardless of fitness level.
Whether a notification to rest after a hard workout, or an early detector that a user might be about to get sick, these insights notify the user to take some time to rest physically and mentally, based on stress signals detected by their wearable devices.
Heart Rate Variability
Heart Rate Variable (HRV) is a key health metric that measures the difference between heart beats. HRV is regulated by the nervous system and controls when your body goes from sympathetic (think fight or flight mode) and parasympathetic (relaxation) systems.
A healthy user will display consistently high HRV values, indicating their body's ability to flexibly respond to stress.
A sudden drop in HRV can indicate that the user's body has been weakened recently, possibly due to a stressful event, intense workout, or illness.
Users that display a drop in HRV should take some time to de-stress, recover, and allow their body to re-adjust into homeostasis, before taking on new challenges.
Point automatically provides the following HRV alerts out-of-the-box:
| Insight | Description | Example Recommendation | Metadata |
|---|---|---|---|
| hrv_decrease_medsev | Alerts that the user experienced a 55-65% decrease in HRV, compared to their average HRV over the last 2 weeks (this is a medium severity alert that the user should rest to recover) | Your HRV decreased by {{pct_change}} today. Try taking some time to recover! | change pct_change |
| hrv_decrease_hisev | Alerts that the user experienced a 65+% decrease in HRV, compared to their average HRV over the last 2 weeks (this is a high severity alert that the user should rest for a few days to recover) | Your HRV took a {{pct_change}} hit today. Take it easy for a few days! | change pct_change |
Activity Level
This insight is useful for categorizing users by activity level, based on their wearable data. More specifically, Activity Level tracks cardiovascular activity based on heartrate zones. Activity Level considers the most recent 3 completed days, and uses the user's heartrate from that time period to place them into one of 5 categories. This insight also gives information about the user's trend, by comparing the last 3 days to the additional 3 days prior.
This insight also provides the proprietary health score that the categorization is based on. This health score ranges from 0 to 100.
Point provides this categorization out-of-the-box, for all users having some heartrate data in the last 3 full days.
| Insight | Description | Example Recommendation | Metadata |
|---|---|---|---|
| activity_level | Categorizes the user into one of five activity levels [very active, active, moderate, sedentary, or very sedentary], and one of five trends[sharp increase, increase, flat, decrease, or sharp decrease]. | if 'active' or 'very active': You've been {{current_category_name}} this week! Here are some suggestions for sustaining your high performance: [...] | current_category_name current_category current_score current_score_date previous_category_name previous_category previous_score previous_score_date score_delta trend |
Next Steps
Learn more about our many wearable integrations.