Question 1

What is Sahha?

Accepted Answer

Sahha is a health data infrastructure that handles passive collection from smartphones and wearables (Apple Watch, Garmin, Fitbit, Samsung, WHOOP, Oura, and more), standardization across devices and platforms, processing , secure storage , and science-backed analysis — end to end. Raw sensor data becomes product-ready outputs: Scores , Biomarkers , Insights , and Archetypes . Sahha also provides engagement tracking and contextual tagging, so the data doesn’t just sit in a dashboard — it drives personalized experiences, timely interventions, and measurable outcomes inside your product.

Question 2

How is Sahha different from a data aggregation platform?

Accepted Answer

Data aggregators connect to device APIs and pass data through. What happens next — interpreting and making that data useful — is left to you. Sahha owns the full pipeline: Collects data passively from smartphones and wearables through a single SDK, handling permissions and background sync. Standardizes it across devices, OS versions, and platforms into a common data model. Processes and stores it in a secure, managed infrastructure so your team doesn’t build or maintain that layer. Analyzes it using validated, science-backed models to produce Scores, Insights, and Archetypes. Makes it actionable with engagement tracking and contextual tagging that tie analysis directly to product experiences. The difference is scope: aggregators give you data to figure out; Sahha gives you interpreted, product-ready outputs your team can ship with.

Question 3

What products does Sahha provide?

Accepted Answer

Sahha provides five output layers, each built on top of its collection, standardization, and processing infrastructure: Data Logs — Raw intraday records for maximum flexibility. Biomarkers — Standardized health metrics (sleep duration, step count, heart rate, heart rate variability / HRV, etc.) normalized across devices. Scores — Single numbers backed by validated science that reflect a user’s current state (Sleep, Activity, Readiness, Mental Wellbeing, Wellbeing). Insights — Trends and Comparisons that show what’s changing over time and how a user compares to baselines. Archetypes — Behavioral personas (e.g. early riser, night owl) for segmentation and personalization. Each layer is delivered via API and webhooks with engagement tracking and tagging support, so the outputs integrate directly into your product workflows.

Question 4

How do Scores, Insights, Archetypes, and Biomarkers relate to each other?

Accepted Answer

Each layer serves a different purpose: Biomarkers provide the detailed metrics underneath everything. Scores tell you where someone is today — a point-in-time state signal. Insights tell you what’s changing and how a user compares to baselines or peers. Archetypes tell you what kind of user someone is over weeks and months. Use them together or individually depending on your feature needs.

Question 5

Why should I use Scores instead of raw metrics?

Accepted Answer

Most users do not want a dashboard of numbers — they want a clear answer and a next step. Scores compress complexity into a single signal backed by validated methodology , and pair it with explainability factors so changes are understandable and actionable. Your team gets the benefit of peer-informed health science without needing to build or maintain models.

Question 6

Which Sahha products work best for lifecycle marketing and segmentation?

Accepted Answer

Start with Archetypes and Insights : Archetypes define stable audience groups based on real behavior (e.g. short sleepers, highly active users). Insights support timing and messaging — trigger campaigns when a user’s trend changes or when they fall outside a baseline. Pair them with Sahha’s contextual tagging to attach your own metadata (e.g. program enrollment, product tier) and segment by how people actually live — not just demographics or self-reported preferences.

Question 7

Which Sahha products work best for BI and reporting?

Accepted Answer

Start with Biomarkers and Insights : Biomarkers give you clean, standardized metrics for dashboards and analytics. Insights add interpretation — trend direction, peer comparisons — so reporting tells a story, not just numbers.

Question 8

What are Sahha Insights?

Accepted Answer

Insights combine Trends and Comparisons to turn point-in-time metrics into a story over time. They surface change, consistency, and progress built on top of Scores, Factors, and Biomarkers — giving your product a narrative layer, not just data.

Question 9

How can I use Insights for user engagement and coaching?

Accepted Answer

Insights enable triggers based on patterns , not one-off readings: Show users their progress over weeks, not just today’s number. Send nudges when a meaningful change is detected (e.g. sleep declining for 2 weeks). Benchmark users against peers or their own personal baseline. Detect churn risk early — flag at-risk users before they disengage.

Question 10

Do Insights require extra setup?

Accepted Answer

No. Once data is flowing through the SDK, Sahha handles the collection, processing, and analysis — Insights are generated automatically. They are delivered through the same API and webhook channels as other outputs, ready to act on in your product without additional configuration.

Question 11

What types of Insights are available?

Accepted Answer

Two types: Trends — Whether a metric is increasing, decreasing, or stable over time. Comparisons — How a user’s data compares to reference groups (global averages, demographic cohorts, or personal baselines).

Question 12

What is a Trend Insight?

Accepted Answer

A Trend summarizes whether a metric is increasing, decreasing, or stable over recent weeks. It turns granular daily data into a clear directional signal you can use for product logic, user feedback, and coaching narratives.

Question 13

What time window do Trends cover?

Accepted Answer

Trends analyze the last 4 complete weeks on a rolling basis. Weeks with missing data are skipped, and at least two valid weeks are required to calculate a trend. The window is not currently configurable.

Question 14

What are Comparison Insights?

Accepted Answer

Comparisons contextualize a user’s daily scores and biomarkers against reference groups — global averages , demographic cohorts , or personal baselines — so “good” or “bad” has meaning. They reduce confusion (“is this typical for me?”) and support benchmarking, progress reporting, and targeted journeys.

Question 15

What are Sahha Archetypes?

Accepted Answer

Archetypes are behavioral personas that categorize users by long-term health and lifestyle patterns — for example, early riser , night owl , highly active , or short sleeper . They are designed to be segmentation-ready for campaigns, journeys, and personalization.

Question 16

How can I use Archetypes for marketing and CX?

Accepted Answer

Archetypes let you segment by real behavior , not just demographics or self-reported preferences: Time notifications based on chronotype (early bird vs night owl). Tailor challenges based on sleep consistency or activity level. Match content, offers, or product recommendations to long-term patterns. This improves relevance, conversion, and retention — and helps reduce churn — compared to generic segmentation.

Question 17

How are Archetypes different from Scores?

Accepted Answer

They solve different problems: Scores are numeric, point-in-time values — they tell you how someone is doing today . Archetypes are category labels that smooth short-term noise to represent stable patterns across weeks and months — they tell you what kind of user someone is. Use Scores for real-time UX; use Archetypes for segmentation and long-term personalization.

Question 18

How often do Archetypes update?

Accepted Answer

Archetypes refresh on weekly and monthly cycles. This cadence reflects meaningful behavioral change without being noisy from day-to-day fluctuations.

Question 19

Can I get historical Archetypes when I first integrate?

Accepted Answer

Yes. Sahha processes up to 4 weeks of historical data and generates Archetypes immediately on integration — no cold-start onboarding gap. You can personalize from day one instead of waiting weeks for data to accumulate.

Question 20

Do Archetypes require a wearable?

Accepted Answer

No. Many Archetypes work with smartphone data alone . Wearables can enrich some patterns (e.g. heart-rate-based archetypes), but they are not required for most use cases.

Question 21

What types of Archetypes are available?

Accepted Answer

Two types: Ordinal — Ranked progression (e.g. very short sleeper → short → average → long sleeper ). Categorical — Distinct behavioral groups (e.g. early bird vs night owl ).

Question 22

How do Archetypes improve business decision-making?

Accepted Answer

Archetypes enable cohort analysis on behavioral data: Compare engagement and retention across behavior groups (e.g. do highly active users retain better?). Track whether interventions shift users toward more favorable archetypes over time. Build business cases with real behavioral evidence instead of assumptions.

Question 23

What are Sahha Scores?

Accepted Answer

A Score is a single number that reflects a user’s current state, derived from multiple biometric and behavioral inputs using validated, science-backed models . Sahha provides Scores for Activity , Sleep , Readiness , Mental Wellbeing , and Wellbeing . Behind each Score is a transparent methodology — so your stakeholders and end users can trust what the number represents.

Question 24

Why should I use Scores instead of raw health data?

Accepted Answer

Scores convert complex, multi-source sensor data into a single state signal you can act on immediately: Decide what to show a user today. Time messages and nudges based on current state. Trigger different product journeys without interpreting dozens of raw metrics. Behind each Score, Sahha handles the collection, standardization, and science — so your team ships features on trusted analysis instead of building and validating health models from scratch.

Question 25

Where do Scores fit best in my product?

Accepted Answer

Scores are strongest for moment-to-moment decisions : Adapt UX based on current state (e.g. show a rest suggestion when Readiness is low). Gate features or interventions (e.g. unlock a challenge when Activity is high). Personalize content and timing based on Sleep or Mental Wellbeing. This is sometimes called “state-based UX” — the experience changes based on how the user is doing right now.

Question 26

How can I demonstrate Sahha's value to stakeholders?

Accepted Answer

Start simple: Pick a highly intuitive domain like Sleep or Activity . Pair the Score with its factor explanations so stakeholders see both the number and the why . Run an A/B test measuring engagement or retention with personalized experiences vs a control. This builds a concrete business case with measurable ROI before expanding to more Sahha products.

Question 27

Are Sahha Scores diagnostic?

Accepted Answer

No. Scores are informational wellness signals , not clinical diagnoses or clinically validated assessments. Mental Wellbeing in particular should be communicated as a behavioral signal with appropriate disclaimers in your UX. Avoid diagnostic language. For compliance-sensitive contexts, Sahha provides scientific positioning and validation resources you can reference.

Question 28

What are Sahha Biomarkers?

Accepted Answer

Biomarkers are standardized health metrics that Sahha produces by collecting raw data from smartphones and wearables, normalizing it across devices and platforms, and processing it into clean, consistent outputs. They cover activity, sleep, vitals, and body — giving you a reliable metrics layer built on managed infrastructure, not a normalization pipeline you have to build and maintain.

Question 29

Why do I need Biomarkers if I already have Scores?

Accepted Answer

They serve different purposes: Scores give you a single state signal — great for UX decisions and user-facing features. Biomarkers give you the detail underneath — great for dashboards, reporting, experiments, and richer personalization logic that needs more than a single number. Think of Scores as the headline; Biomarkers as the data behind it.

Question 30

How do Biomarkers simplify my product?

Accepted Answer

Sahha handles the full data pipeline — collecting from each device, resolving platform differences, cleaning edge cases, and mapping everything to a common data dictionary . You consume Biomarkers as canonical metrics without building or maintaining that infrastructure. This eliminates months of data engineering and gives every team in your organization a single, consistent source of truth for health metrics.

Question 31

Where do Biomarkers fit best in my product?

Accepted Answer

Biomarkers are ideal for: Detailed metric breakdowns (e.g. sleep stages like REM and deep sleep, active minutes, heart rate zones). Coach or admin dashboards that need more granularity than a single score. A/B experiments that measure specific health outcomes. Recommendation logic that depends on nuanced inputs.

Question 32

What are Sahha Data Logs?

Accepted Answer

Data Logs are raw intraday records delivered in real time via webhooks as soon as a new record arrives. Use them when you need maximum flexibility — for example, constructing hourly time series, 15-minute activity windows, or custom aggregations.

Question 33

What is the difference between Data Logs and Biomarkers?

Accepted Answer

Data Logs are raw, event-level data — maximum flexibility and auditability, but you handle the processing. Biomarkers are standardized, processed metrics — ready for product features and BI without additional data engineering. Most teams use Biomarkers for product experiences and Data Logs for custom analytics or compliance.

Question 34

How do I manage the volume of Data Logs?

Accepted Answer

Treat logs as a backend stream: Configure webhooks to receive only the event types you need. Store and process in your own pipeline. Use Biomarkers and Scores for most product-facing experiences — they are already aggregated and interpreted.

Question 35

How does Sahha integrate with my existing stack?

Accepted Answer

Sahha delivers data via REST API (pull) and webhooks (push). Scores, Insights, Archetypes, and Biomarkers pipe directly into your backend, CRM, CDP, or engagement tools — such as Braze, Segment, Amplitude, mParticle, Klaviyo, or Customer.io. Sahha also supports contextual tagging — attaching your own metadata to user profiles — and engagement tracking , so you can measure how health-driven features impact behavior. The integration goes beyond data delivery into making health data actionable across your product and marketing workflows.

Question 36

Do my users need a wearable?

Accepted Answer

No. Sahha’s SDK passively collects data from smartphones and wearables — including Apple Watch, Garmin, Fitbit, Samsung, and Oura — handling permissions, background sync, and device differences automatically. Many features — including Scores, Archetypes, and most Biomarkers — work with phone-only data. Smartwatches and wearables enrich the signal but are not required.

Question 37

Where can I find the science behind Sahha's Scores?

Accepted Answer

Every Score is built on validated methodology that Sahha documents openly. Two resource series are available: Scores Explained — Plain-English overviews for product teams and stakeholders. Science Behind the Scores — Detailed methodology, validation, and peer-informed research for due diligence and technical review. This transparency matters because your stakeholders — and your users — need to trust the analysis behind the numbers. Share the first series with teams who need to understand what Scores mean; share the second with those evaluating the science.

Question 38

How should I explain Scores to my users?

Accepted Answer

Keep it simple: Show the Score number with its factors (the “why” behind the number). Use plain language — avoid clinical or diagnostic terms. Link to “Scores Explained” resources if users want to learn more. The goal is clarity without turning your UX into a science lecture.

Question 39

What branding requirements apply when displaying Garmin data?

Accepted Answer

If you present Garmin-derived data, you may need device attribution (e.g. “Garmin [device model]”) per Garmin’s branding enforcement guidelines. Build this into your UX where Garmin-sourced data is visible.

Product FAQ

Overview

Insights

Archetypes

Scores

Biomarkers

Data