A user hits 10,000 steps, burns 500 active calories, and climbs 8 floors. Their activity factors are excellent. But they’ve been sleeping six hours a night with inconsistent timing, and their sleep debt has been climbing for a week. Individually, their Activity Score looks strong. Their Sleep Score looks weak. Neither tells the full story. The Wellbeing Score does — it reveals that despite the strong movement patterns, overall health is being undermined by the sleep deficit.
The Wellbeing Score is the broadest health measure Sahha offers. It combines all thirteen factors from the Activity Score and Sleep Score into a single daily assessment. The core insight isn’t just “how active is this person” or “how well do they sleep” — it’s how balanced are these two dimensions. Research consistently shows that health outcomes improve most when activity and sleep support each other. High activity with poor sleep leads to overtraining and burnout. Great sleep with no movement misses the cardiovascular and metabolic benefits of activity. The Wellbeing Score captures both sides simultaneously.
For products, this is the right choice when you need one number for overall health — a headline metric for a dashboard, a coaching summary, an engagement signal, or a population health indicator. The factor-level breakdown always shows which dimension is driving the score, so users can understand what to focus on.
| State | What It Means |
|---|---|
| High (80–100) | Strong balance — activity and sleep are both supporting overall health |
| Medium (60–79) | One dimension may be lagging, or both are moderate |
| Low (40–59) | Clear imbalance or deficits in both activity and sleep patterns |
| Minimal (0–39) | Significant gaps across movement, rest, or both |
Science: Every factor in the Wellbeing Score is grounded in peer-reviewed research. For the evidence behind each one, see The Science Behind the Wellbeing Score.
Wellbeing Score Factors
The Wellbeing Score is built from thirteen factors — every factor from the Activity Score and every factor from the Sleep Score. Each returns a value, a sub-score (0 to 100), a state, and a goal. A minimum of four factors (spanning both activity and sleep data) is required to generate a score.
Since each factor is covered in depth in its respective score guide, this section focuses on what each factor contributes to the holistic picture.
Activity Factors
These six factors capture the movement side of the equation — volume, distribution, intensity, and vertical effort. All work from phone data alone.
| Factor | Role in Wellbeing | Goal |
|---|---|---|
| Steps | Daily movement volume — the foundation of physical activity | 10,000 |
| Active Hours | Movement distribution across the day — are they active throughout or just in bursts? | 12 hours |
| Active Calories | Energy expenditure during movement — captures intensity, not just step count | 500 kcal |
| Intense Activity Duration | Time in moderate-to-vigorous activity — cardiovascular and metabolic benefit | 150 min |
| Extended Inactivity | Prolonged sedentary time — long sitting offsets activity benefits even in active people | Minimize |
| Floors Climbed | Vertical movement — a proxy for functional effort and environmental engagement | 10 floors |
For detailed factor explanations, see Activity Score Explained.
Sleep Factors
These seven factors capture the rest side — duration, timing, consistency, and recovery quality. Four work from phone data; three require a wearable.
| Factor | Role in Wellbeing | Goal | Wearable |
|---|---|---|---|
| Sleep Duration | Total sleep per night — the most basic sleep measure | 8 hours (480 min) | No |
| Sleep Regularity | Consistency of bed/wake times — irregular timing disrupts circadian rhythm | 100 (index) | No |
| Sleep Debt | Accumulated sleep shortfall — compounds over days and degrades performance | 0 | No |
| Circadian Alignment | Sleep timing vs. the body clock — misalignment affects mood, energy, and metabolism | 100 (index) | No |
| Sleep Continuity | How uninterrupted sleep is — fragmented sleep reduces restorative value | Minimize disruptions | Yes |
| Physical Recovery | Deep sleep (slow-wave) duration and timing — physical repair and immune function | 100 min | Yes |
| Mental Recovery | REM sleep duration and timing — memory consolidation and emotional regulation | 100 min | Yes |
For detailed factor explanations, see Sleep Score Explained.
How Factors Interact
The Wellbeing Score’s distinguishing feature is that it captures the interaction between activity and sleep — something neither individual score can do alone.
Balance is the signal. The most common pattern in a mid-range Wellbeing Score isn’t that everything is moderate — it’s that one dimension is strong and the other is weak. The factor breakdown makes this imbalance explicit. Products that surface the lagging dimension (“Your activity has been strong this week — sleep consistency is the next lever”) give users a clear, actionable focus rather than a vague sense that their score could be better.
Activity and sleep compete for time but compound in effect. More exercise generally improves sleep quality — up to a point. Overtraining, late-night intense activity, or insufficient recovery time can degrade sleep, which in turn reduces next-day activity capacity. The Wellbeing Score captures this feedback loop: a user whose intense activity duration is climbing while sleep duration and recovery are declining is in an unsustainable pattern, even if individual activity metrics look impressive.
The recovery factors change the story. With phone data alone, the Wellbeing Score captures behavioral patterns — how much someone moves and when they sleep. Adding wearable data introduces the recovery factors (physical recovery, mental recovery, sleep continuity), which reveal whether sleep is actually restorative. A user sleeping 8 hours with poor deep sleep and fragmented continuity looks fine on behavioral factors but shows deficits in recovery. This distinction matters most for active populations where recovery is the constraint, not effort.
The wearable upgrade path. Since 10 of 13 factors work from phone data, every user gets a meaningful Wellbeing Score from day one. The three wearable factors add a recovery layer that deepens the assessment without changing the score’s core structure. Products can present this as a natural upgrade: “Your Wellbeing Score is solid — connect a wearable to unlock recovery insights.”
When to Use Wellbeing vs. Individual Scores
The Wellbeing Score isn’t always the right choice. Here’s a practical guide:
| Scenario | Best Score | Why |
|---|---|---|
| Single headline health metric on a dashboard | Wellbeing | One number captures the full picture |
| ”How active am I?” or activity-focused coaching | Activity | Isolates movement without sleep noise |
| ”How well am I sleeping?” or sleep improvement programs | Sleep | Isolates rest without activity noise |
| ”Am I recovered enough for today?” | Readiness | Forward-looking capacity, not retrospective health |
| Population health assessment or insurance | Wellbeing | Broadest behavioral signal across lifestyle dimensions |
| Engagement or retention signals | Wellbeing | Correlates with overall lifestyle engagement |
Many products display Wellbeing as the headline, with Activity and Sleep as drill-downs — giving users a quick read at the top level and depth when they want it.
Phone vs Wearable
Ten of thirteen factors work from phone data alone, covering the full activity dimension and the behavioral sleep dimension (duration, regularity, debt, circadian alignment). The three wearable-only factors (sleep continuity, physical recovery, mental recovery) add the recovery layer — whether sleep is genuinely restorative, not just sufficient in duration.
Phone-only data produces a robust Wellbeing Score for any user. Wearable data upgrades the sleep side from behavioral observation to physiological measurement, which is most valuable for users who are active and need recovery insight.
Further Reading
- The Science Behind the Wellbeing Score — peer-reviewed evidence for each contributing factor
- What are Health Scores and Score Factors — foundational guide to the scoring model
- Wellbeing Score — Docs — API reference, schemas, permissions, and integration details
- Activity Score Explained — detailed guide to the activity dimension
- Sleep Score Explained — detailed guide to the sleep dimension
- Readiness Score Explained — recovery and capacity scoring