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Clarifying Questions
Before diving in, I would want to align on scope, because “design a wearable” could mean a fitness tracker, a hearing aid, or a piece of AR hardware, and each of those is a completely different product with a different regulatory environment, distribution model, and set of design constraints.
Are we designing the hardware, the software, or the full end-to-end product including a data platform and emergency response service? The reason this matters is that a sensor without an intelligent response layer is just a panic button, and the actual safety value lives in what happens in the seconds after a signal fires. I would design all three, because the hardware, software, and response model are deeply interdependent here.
Is this a consumer wellness gadget, or a device that needs regulated safety claims such as certified fall detection accuracy? The FDA clearance path adds roughly 2 to 4 years and millions in clinical validation costs but unlocks hospital and insurance distribution channels worth far more. I will design it as a consumer device on day one with a deliberate path toward a regulated clinical claim later, which is exactly how Apple introduced ECG in 2018 and fall detection in the Series 4 before seeking any formal FDA clearance.
Who is the primary wearer: an independent older adult living alone, or someone already in assisted living with on-site staff? The assisted-living resident already has a nurse call button and staff on site; the independent senior living alone is the person with the least existing safety net. I will focus there, because that is where unmet need is sharpest and the design challenge is hardest.
Business model: direct-to-consumer subscription similar to Life Alert, or distributed through Medicare Advantage plans and health systems? B2B2C insurance channels are high-value but slow, typically requiring 18 to 36 months to negotiate and implement a supplemental benefit contract. I will start direct-to-consumer to validate the product quickly, then layer in the insurance channel once I have outcome data to support those conversations.
US-first or global from launch? The US has roughly 58 million adults 65 or older today, a Medicare Advantage supplemental benefit channel that no other country has in the same form, and the highest per-capita fall-related healthcare spend in the world. I will design for the US first and treat international as a Phase 3 consideration.
For this answer I will assume I am designing Compass, a wearable and companion service purpose-built for older adults aging in place, covering hardware form factor, software, and the emergency response model end to end, launched direct-to-consumer in the US with a clear path toward Medicare Advantage distribution and eventual FDA clearance for the core mobility monitoring signal.
Product Description
There are roughly 58 million Americans age 65 or older today, a number the US Census Bureau projects will grow to approximately 73 million by 2030 as the last of the Baby Boomer generation crosses that threshold, meaning roughly one in five Americans will be of retirement age within this decade. The CDC reports that about one in four older adults falls each year, which works out to roughly 14 million falls annually in the US. Falls are the leading cause of both fatal and non-fatal injury among people 65 and older, and the direct medical cost of these falls is estimated at more than 50 billion dollars a year, with Medicare and Medicaid covering approximately 75 percent of that tab. That makes fall-related injury one of the largest single line items in the US healthcare system.
Personal emergency response systems, commonly called PERS devices, have existed since Life Alert launched its famous “I’ve fallen and I can’t get up” campaign in 1987. Life Alert still charges approximately 49.95 dollars per month for a pendant that requires a conscious, deliberate button press, meaning it provides no protection if a user is incapacitated. Apple introduced automated fall detection to the Apple Watch Series 4 in 2018, and the underlying technology is genuinely capable, but Pew Research puts smartwatch ownership among adults 65 and older well under 20 percent, compared to smartphone ownership near 61 percent for the same age group. The gap exists because the Apple Watch was designed around a fitness-forward, tech-comfortable user, with small text, complex pairing flows, and a battery life requiring nightly charging, and then adapted for this population as an afterthought rather than a starting point. The PERS market overall generates roughly 2 to 3 billion dollars in annual US revenue, but penetration among the at-risk population remains well under 30 percent, largely because existing options force a binary choice between a device that works but stigmatizes and one that looks good but wasn’t built for this user.
Compass is purpose-built to resolve that tradeoff. It combines automatic fall detection using a fused accelerometer, gyroscope, and barometric pressure sensor, built-in cellular connectivity via embedded eSIM so it operates independently of any paired phone, and a caregiver-facing mobility trend dashboard that surfaces gradual gait decline before a fall occurs rather than only reacting after one. The business model is a hardware purchase in the 150 to 200 dollar range plus a monthly monitoring subscription of approximately 25 to 35 dollars, comparable to Life Alert but with meaningfully higher daily wear rates as the defining product differentiation.
Define Goal
The core problem is that today’s options force a binary choice between a device that actually works, Life Alert’s pendant being the archetype, and one that an older adult will actually wear every day. The pendant works when pressed but signals frailty visibly enough that many users leave it on a nightstand. The Apple Watch can detect falls automatically but wasn’t designed for this population’s physical and cognitive starting point, so adoption among the highest-risk age groups remains low. Most people who need monitoring the most simply go without any.
My goal is to make continuous, automatic fall and mobility monitoring something an older adult will choose to wear every single day, not just after a scary fall has already happened and fear is briefly overcoming resistance.
The north star metric I would choose is the percent of enrolled users with confirmed on-wrist sensor contact recorded for at least 20 hours of each day, measured at the 90-day mark. I define it through the accelerometer’s on-wrist contact signal rather than app logins or self-reported compliance, because those are gameable and indirect. I pick 90 days specifically because compliance curves for wearable devices tend to drop sharply in the first 30 days and then again between days 45 and 60 as novelty wears off. If a user is still wearing Compass daily at 90 days, research on comparable chronic-condition wearables suggests they are likely to remain long-term users. I would track this over alternatives like subscription renewal rate, which is a lagging indicator that arrives too late to course-correct on the underlying product problem, or daily active users, which a smartphone app can satisfy without the device ever touching a wrist.
User Segmentation
Wearers
The Independent Senior, typically 70 to 85, lives alone or with a non-caregiver spouse, generally healthy and mobile, and often strongly resistant to anything that visibly reads as a medical device because wearing one feels like an admission of decline. This segment represents the largest share of the total addressable market and the hardest daily-wear design challenge.
The Post-Fall or Post-Hospitalization Senior, typically 75 to 90, has already had a fall or a hospital stay related to mobility, is more open to monitoring because the fear of recurrence is fresh, and often has some cognitive support needs that make setup simplicity even more critical. This segment is where hospital discharge planners and home health agencies are most motivated to help, making it an important channel even if it is not the primary design target.
Caregivers
The Adult Child Caregiver, typically 45 to 60, does not wear the device but is almost always the person who buys it, configures it, and manages the ongoing relationship with the service. This segment lives with a persistent background anxiety about a parent living alone, checks in more than they probably need to, and is the primary purchase decision-maker. Compass fails commercially if this segment doesn’t trust it enough to initiate the purchase, and it fails in the field if daily wear drops and they have no signal that it has.
I would design the hardware and wearing experience primarily around the Independent Senior, because winning daily wear from someone who doesn’t yet feel like they need help is the hardest and most consequential design problem. I would design the app and alert layer primarily around the Adult Child Caregiver, because adoption depends on someone in that role initiating the purchase and remaining confident in the system over time.
Pain Points
Synthesising user research with older adults and caregivers, session observations with existing PERS device users, and themes from support channels at comparable remote monitoring services, I would identify the following pain points across both sides of this product.
