Intervengine x Sahha
What is Sahha?
Sahha is an Integration partner that Intervengine uses that lets you collects and analyse passive human data from smartphones and wearables.
We do this in two ways:
- Sahha securely and passively captures smartphone and wearable device data with the consent of end-users through their mobile SDK which is installed within the Intervengine app.
- Their machine learning models turn that data into insights and measures of behavioural, mental and physical state, bespoke to each Participant
- With this super-power, you can build personalised digital health, fitness and wellbeing Journeys, measure the efficacy of the intervention or recommendations you provide and gain deep insight into how health data shapes your Participants
Please note that Sahha is a separate paid integration. You will need an active Sahha license and API credentials to enable these features within your Intervengine environment.
Health Scores
Scores transform complex health data into simple 0-1 values that participants can understand. Each score includes explainable factors, so participants know exactly what is contributing to their result and what to improve.
Scores work with smartphone data alone - wearables add more factors (like heart
rate) but are not required. All scores return one of four states: minimal,
low, medium, high.
- Smartphone compatible - works with phones alone, reaching 100% of participants without hardware requirements
- Explainable - every score shows contributing factors so participants understand the "why" behind their number
- Real-time - updates within 1 minute of new data arriving
- Instant value - 14 days of retroactive scores on integration, so participants see insights from day one
- Actionable - each factor includes goals so participants know what to improve
Available Scores
| Score | Description | Docs |
|---|---|---|
| Wellbeing | Holistic assessment combining activity and sleep data | View → |
| Activity | Daily physical activity levels | View → |
| Sleep | Sleep quality and quantity | View → |
| Mental Wellbeing | Mental wellness derived from behavioural patterns | View → |
| Readiness | Daily recovery and preparedness for physical exertion | View → |
The Mental Wellbeing score is an informational tool based on behavioural patterns. It is not a diagnostic tool for clinical use.
Biomarkers
Biomarkers are 60+ standardised health metrics - steps, sleep, heart rate, and more - deduplicated and normalised from any device or source. Multiple data sources are intelligently merged to prevent double-counting across different devices.
| Category | Examples |
|---|---|
| Activity | Steps, floors climbed, active hours, energy expenditure, exercise distances |
| Body | Height, weight, BMI, body fat percentage, lean mass |
| Sleep | Duration, stages (light, REM, deep), sleep debt, regularity, efficiency |
| Vitals | Resting heart rate, HRV, respiratory rate, SpO2, VO2 max, blood glucose, blood pressure |
| Engagement | App session counts and duration |
Biomarkers update in real-time (within 1 minute) and are delivered as standardised values with consistent units, formats, and aggregation methods regardless of source device.
Archetypes
Archetypes classify participants into behavioural labels derived from weeks of health data analysis. Unlike numerical scores, archetypes provide intuitive labels like "Night Owl" or "Highly Active" that characterise patterns for segmentation and personalisation.
There are two classification types:
- Ordinal - ranked progressions where values move from lower to higher states (e.g. sleep duration: very short sleeper → long sleeper)
- Categorical - distinct groups without hierarchy (e.g. chronotypes: early bird, night owl, intermediate)
| Category | Archetypes |
|---|---|
| Sleep | Duration, efficiency, quality, regularity, pattern, bed schedule, wake schedule |
| Activity | Activity level, exercise frequency, primary exercise, primary exercise type, secondary exercise |
| Wellness | Mental wellness, overall wellness |
Archetypes update at the end of each week, month, or quarter depending on periodicity. On integration, 2 weeks of historical archetypes are provided retroactively.
Insights
Insights provide trend and comparison intelligence derived from the data Sahha already collects - including health scores, biomarkers, and behavioural signals. Rather than looking at a single point in time, Insights evaluate patterns across time to generate meaningful summaries.
Trends
Trends detect directional change in a score, factor, or biomarker over time - is it going up, down, or staying the same, and by how much? Use trends to create compelling narratives, trigger actions on meaningful changes, and build smarter campaigns.
Comparisons
Comparisons benchmark individual values against peers, population norms, or personal baselines. For example, comparing a participant's sleep duration against females aged 35-40.