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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:

InsightDescriptionExample RecommendationMetadata ("additionalFields")
week_hr_zones_low_minutes_burn_fatGuidance to burn fat more effectively by targetting HR Zones 1, 2, and 3 for the weekYou’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_carbFor users with an active exercise routine, guidance on to burn carbs more effectively by targetting HR Zones 3 and 4 for the weekYou’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_carbGuidance 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_minutesAlerts that this user has spent too much time in HR Zone 5 in a particular workoutYou 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_minutesAlerts that this user has spent too much total time in HR Zone 5 this weekYou 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:

InsightDescriptionExample RecommendationMetadata
workout_intensity_too_highAlerts that the user just completed a significantly more intense workout than they typically doGreat 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_highAlerts that today was an intense day of workouts for the userGreat 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_highFor users that haven't worked out in at least a week, alerts that their first workout in a while was significantly more intenseGreat 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:

InsightDescriptionExample RecommendationMetadata
record_calories_burnedNotifies when the user breaks their all-time record for highest calories burned for a specific workout type with their most recent workout of that typeYou just burned {{record}} calories in a single workout - a new record!workout_type
record
previous_record
record_exertion_rateNotifies when the user breaks their all-time record for highest exertion rate for a specific workout type with their most recent workout of that typeYou just had your most efficient {{workout_type}} workout ever - burning {{record}} calories/min!workout_type
record
previous_record
duration_tipProvides a tip to nudge the user to do a longer workout next timeYou 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:

InsightDescriptionMetadata
record_calories_burned_across_all_workout_typesIndicates 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_typesIndicates the user’s all-time record for highest exertion rate in a single workout (across all workout types)workout_type
record
most_efficient_workout_typeIndicates the user’s workout type with the highest average exertion rateworkout_type
avg_value
longest_workout_typeIndicates the user’s workout type with the longest average durationworkout_type
avg_value
avg_workout_calories_burnedIndicates the number of calories the user burns on average per workout (over the last 3 months)avg_value
avg_workout_durationIndicates the amount of time the user workouts out for on average per workout (over the last 3 months)avg_value
avg_workout_exertion_rateIndicates the user’s average exertion rate (over the last 3 months of workouts)avg_value
usual_workout_timeIndicates the hour the user most frequently works out athour

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:

InsightDescriptionExample RecommendationMetadata
exertion_optimal_amIndicates that, on average, the user shows significantly higher average exertion during morning workoutsYou work {{pct_change}} harder in the mornings, early bird!change
pct_change
exertion_optimal_pmIndicates that, on average, the user shows significantly higher average exertion during evening workoutsYou work {{pct_change}} harder in the evenings, night owl!change
pct_change
calorie_burn_optimal_amIndicates that, on average, the user burns significantly more calories during morning workoutsYou burn {{pct_change}} more calories in your morning workouts - keep it up!change
pct_change
calorie_burn_optimal_pmIndicates that, on average, the user burns significantly more calories during evening workoutsYou burn {{pct_change}} more calories in your evening workouts - keep it up!change
pct_change
duration_optimal_amIndicates that, on average, the user works out significantly longer in the morningsYou work out {{pct_change}} longer in the mornings - great work!change
pct_change
duration_optimal_pmIndicates that, on average, the user works out significantly longer in the eveningsYou 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:

InsightDescriptionExample RecommendationMetadata
hrv_decrease_medsevAlerts 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_hisevAlerts 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

Next Steps

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