Main research signals
The strongest signals were routine inconsistency, lack of personalised cognitive training, and accessibility needs linked to visual and hearing difficulties.
Research with 5 older adults highlighted several daily autonomy needs, from hydration and medication to planning, movement, pet care and cognition. These insights shaped Lifeasier as a broader product concept, but rather than designing an all-in-one senior-care app from the start, I focused the first phase on cognitive support. The remaining areas were positioned as future developments within the product roadmap.
Daily autonomy appeared as a connected system, not a set of isolated needs. Because cognition affects how people remember, plan and follow routines, it became a strategic starting point for the first phase. Participants already did activities like reading, puzzles or digital games, yet none had access to personalised cognitive training adapted to their needs.
The cognitive area was designed around three training paths: Chosen for You, Quick Training, and Choose the Skill. Together, they help older adults start, personalise and return to cognitive activities without making the experience feel complex.
This creates a focused foundation that can later expand into the remaining autonomy areas.
The strongest signals were routine inconsistency, lack of personalised cognitive training, and accessibility needs linked to visual and hearing difficulties.
I translated the findings into a cognitive-first flow, supported by simple navigation, accessible interaction patterns and a roadmap for the remaining autonomy areas.
The concept aims to make cognitive practice easier to start, follow and repeat, while creating a flexible foundation for future autonomy areas such as hydration, health, planning and movement.
The process helped turn a broad set of autonomy needs into a clearer first release, moving from research and synthesis to information architecture, wireframes and a senior-friendly prototype.
Desk research, competitive analysis, and user questionnaires.
User persona, empathy map, and key insights.
Information architecture and wireframes.
Style guide, mockups, and prototype.
Findings from desk research, competitive analysis and user research confirmed that daily autonomy depends on several connected routines, not one isolated need. These insights shaped Lifeasier as a broader product concept, while guiding the first phase towards simple flows, accessibility and personalised cognitive support.
55% of elderly people have pets, which enhance their quality of life. 88% say pets increase enjoyment, 79% report reduced stress, and 73% feel they provide purpose.
For those living alone or with health issues, 72% say pets help manage physical and emotional symptoms, reducing loneliness and encouraging a more active life.
(Malani et al., 2019)By 2030, 1.4 billion people will be aged 60 or over, and by 2050, one-fifth of the world's population will be elderly.
Of these, 80% will live in low and middle-income countries (LMICs).
(Mathews, 2024)Up to 41% of adults over the age of 50 have mild cognitive impairment, a precursor to dementia.
Interventions such as cognitive stimulation therapy (CST) can prevent or reverse this decline and are recommended by NICE.
(Elmawla et al., 2024)Factors like health, social relationships, active participation, and access to services are crucial for the autonomy and quality of life of the elderly.
(Ghenta et al., 2022)Despite physical limitations, most seniors prefer to “age in place,” staying in their own homes.
(Ryu et al., 2021)Structured routines provide security, stability, and purpose, improving the well-being of older adults. Traits such as self-control and intolerance to uncertainty favor adherence to routine, essential for promoting autonomy and quality of life.
(Welenc & Hopper, 2023)Physical inactivity causes 3.2 million deaths annually.
(Cindy Rigor, 2021)To support healthy aging, 150 minutes of moderate exercise weekly, along with monitoring vital signs and hydration, reduce hospitalization and fall risks by 30%.
(Raimundo et al., 2019)Polypharmacy, the use of five or more medications, is common in the elderly, raising risks of adverse reactions, errors, and reduced quality of life. Tools like Individualized Medication Preparation (PIM) organize medication according to prescription, improve adherence, reduce errors, and optimize health outcomes.
(Sanches, 2020)55% of older adults have pets. 72% say pets help manage emotional symptoms, reducing loneliness and encouraging a more active life. (Malani et al., 2019)
By 2030, 1.4B people will be 60+. By 2050, one-fifth of the world’s population will be elderly; 80% will live in LMICs. (Mathews, 2024)
Up to 41% of people 50+ have MCI. Cognitive Stimulation Therapy (CST) can prevent or reverse decline and is recommended by NICE. (Elmawla et al., 2024)
Health, social ties, participation and access to services are key for autonomy and quality of life. (Ghenta et al., 2022)
Structured routines provide security, stability and purpose, improving the well-being of older adults. (Welenc & Hopper, 2023)
150 min/week of moderate exercise + hydration + vital signs monitoring reduces hospitalizations and fall risk by ~30%. (Raimundo et al., 2019)
Using 5+ medications is common and raises risks; medication management tools improve adherence and outcomes. (Sanches, 2020)
A competitive analysis of senior-oriented apps helped clarify where existing solutions were strong, and where support remained fragmented across planning, pet care, physical activity, hydration, health, and cognitive training. Most products addressed isolated needs, but few connected them into one accessible and reassuring experience.
Market competitors
Easy navigation, visual accessibility, and support for hearing-related needs appeared across most products.
Accessible support was present, but not consistently paired with a broader, calmer routine-management experience.
Medication assistance, caregiver connection, and some health-related features were already present in the market.
Vital signs tracking, health integration, hydration support, and appointment management remained uneven or limited.
Some solutions addressed planning, organisation, or day-to-day assistance in isolated ways.
No product brought planning, hydration, health-related routines, and everyday task support together in one clear system.
Most competitors encouraged autonomy and enabled some interaction with caregivers or other people.
That support often felt fragmented, with limited coordination between physical, cognitive, and routine-based needs.
Cognitive activities existed in the wider landscape, but usually as generic or isolated exercises.
No solution offered personalised cognitive training as part of a broader senior-friendly routine support experience.
After mapping the market, I used a questionnaire with 5 older adults to understand how daily autonomy showed up in everyday routines. The insights below break down the six need areas that shaped Lifeasier’s direction and helped define cognitive support as the first phase.
100% don’t plan your days
60% have a pet
60% don’t exercise 30 minutes daily
80% forget to drink water daily
Polypharmacy & low monitoring
No daily personalized stimulation
To turn research into design direction, I synthesised the findings into a persona and an empathy map. Rather than treating the six need areas as isolated problems, this helped clarify how memory, planning and repeated routines shaped daily autonomy, making cognitive support a strategic starting point for the first phase.
John values autonomy and enjoys family, reading, outdoor activities, technology and caring for his pet. Although he wants to stay active and independent, managing several daily routines consistently has become more demanding.
Based on the persona and empathy map, I mapped a scalable information architecture that could support the six autonomy areas over time. For this phase, I detailed the cognitive training flow first, keeping the remaining areas visible as part of the broader product structure.
Once the structure was defined, I translated the main flows into low-fidelity wireframes to explore hierarchy, navigation and task clarity before moving into visual design.
Low-fidelity exploration
Because the research highlighted visual and hearing difficulties, the visual system was designed to make Lifeasier feel calm, readable and easy to follow. I focused on accessible contrast, clear typography, familiar interface patterns and consistent feedback to support confidence across the experience.
Teal tones were chosen to communicate calm, trust, and vitality, while soft neutrals keep the interface light and reduce visual overload. Stronger accents help highlight actions and guide attention without making the experience feel harsh or clinical.
Work Sans was chosen for its clean, highly legible forms. A simple hierarchy, generous spacing, and clear contrast between headings, labels, and body text help users scan content more easily and understand what matters first.
Accessibility was treated as a core part of the experience, not an add-on. High contrast, large fonts, inclusive colours, clear touch targets, and voice assistant support were used to better support users with visual difficulties and make interaction easier and more reassuring.
Repeated layouts, familiar navigation patterns, and a simple icon set were used to create a clear, consistent experience across screens. This consistency reduces confusion, supports recognition, and helps users feel more in control as they move through the app.
With the visual system in place, I translated the cognitive support experience into high-fidelity screens. The final flows bring together the initial assessment, personalised training paths, progress feedback and accessible navigation into one focused first release.
Lifeasier evolved from a broad autonomy concept into a focused first release centred on cognitive support. The outcome of this phase was not a fully validated product, but a clearer product direction, a senior-friendly interface system, and a high-fidelity prototype ready to be tested with older adults.
Next, I would validate whether older adults can complete the key cognitive flows with confidence: starting the assessment, choosing a training path, completing an activity, understanding progress, and knowing what to do next. I would also measure comprehension, task completion, friction points, motivation, and perceived effort.
The main learning was that senior-centred support needs focus before scale: a product can address many autonomy needs over time, but the first experience must feel clear, reassuring, and easy to repeat.