Medical information can feel complex.
Dense reports, unfamiliar terminology, and difficult-to-interpret prescriptions can make treatment instructions hard to act on.
02 / Healthcare AI · UX/CX · Product Exploration
Healthcare, understood in your language.
Sahayak AI explores a more accessible healthcare experience for patients in India's Tier 2 and Tier 3 contexts—helping people understand health information, manage everyday care, and identify the next step with greater confidence.
Sahayak AI · Mobile app concept
The question behind the product
Healthcare should be easier to understand, wherever you live.
What if managing your health didn't depend on decoding medical language, navigating multiple tools, or having a family member explain every step?
Samjhe sehat. Sahi waqt par sahi kadam.
Understand your health. Take the right step at the right time.
01 / The challenge
Healthcare information exists. Understanding it is another challenge.
For patients managing chronic conditions, healthcare can extend far beyond a consultation. Interpreting reports, remembering medication, coordinating appointments, and knowing what to do next can create ongoing uncertainty—especially when language, digital familiarity, or access to continuous support becomes a barrier.
Care is spread across touchpoints.
Appointments, prescriptions, diagnostics, and follow-up instructions may feel disconnected from everyday routines.
Families often fill the gaps.
Caregivers help interpret information and manage reminders, adding emotional and logistical responsibilities.
How might we make healthcare information easier to understand and everyday treatment easier to manage?
02 / Research
Understand healthcare through the realities of everyday life.
The research explored how patients, caregivers, and doctors experience healthcare, with attention to language preferences, health literacy, digital confidence, and support beyond the consultation.
11
Initial interview participants
Qualitative research across three stakeholder groups.
5
Patients interviewed
Treatment understanding, routines, and chronic-care challenges.
3 + 3
Doctors and caregivers
Three doctors and three caregivers interviewed.
Research objectives
- 01Understand how patients interpret reports, prescriptions, and treatment instructions.
- 02Explore how language and health literacy influence care decisions.
- 03Identify friction during appointments, treatment, and follow-up.
- 04Understand caregiver roles in medication management and coordination.
- 05Explore AI assistance that supports understanding without replacing medical advice.
Methods used
Interviews
Patient, doctor, and caregiver perspectives.
Empathy mapping
Needs, motivations, concerns, and behaviours.
Journey analysis
Friction across diagnosis, treatment, and follow-up.
Usability testing
Prototype walkthroughs and task evaluation.
The initial interviews provided qualitative insights; they should not be interpreted as a statistically representative study of all Tier 2 and Tier 3 populations.
03 / People
Different healthcare realities. A shared need for clarity.
The experience was considered through three stakeholder perspectives: the patient managing a condition, the family member coordinating care, and the doctor supporting treatment.
The patient
Tier 2Ram Singh
46 · Apparel shop owner
Managing Type 2 diabetes while balancing work, treatment, and family responsibilities. Familiar with everyday apps, but complex medical information can feel difficult to interpret.
Needs: Understand his condition, follow treatment, and know what to do next.
The caregiver
Family careAmit Singh
24 · Software engineer
Coordinates appointments, tracks medicines, and helps his father understand treatment while managing his own professional responsibilities.
Needs: Coordinate care without carrying every task manually.
The doctor
Care continuityDr. Anand
General practitioner
Wants patients to understand their treatment plans, but limited consultation time makes ongoing communication and follow-up challenging.
Needs: Reinforce understanding and support clearer follow-up.
Patients need clarity. Caregivers need coordination. Doctors need continuity.
04 / Research insights
Five barriers between receiving healthcare and managing it confidently.
The research pointed towards a need to bridge professional medical information and the everyday decisions patients make outside clinical settings.
Fragmented journeys
Patients may need to navigate appointments, prescriptions, diagnostics, and follow-up independently.
Limited treatment understanding
Complex terminology and dense reports can leave patients unsure what a diagnosis or treatment means.
High caregiver dependency
Family members often translate medical instructions into everyday actions and reminders.
Unverified information seeking
Uncertainty can lead people to online searches or social media for answers that may not be reliable.
Limited continuous guidance
Patients may need more structured support after leaving a consultation.
Connect information with action.
Design a healthcare companion that helps people understand information and identify an appropriate next step.
05 / UX strategy
Design for understanding, not just interaction.
The experience should not assume that users understand a feature simply because it exists. The strategy focused on making essential tasks understandable, predictable, and accessible.
01 / Clarity
Clarity over complexity
Use familiar language, clear hierarchy, and concise explanations.
02 / Guidance
Guided, not overwhelming
Break complex tasks into manageable steps with one clear action at a time.
03 / Access
Voice as an alternative
Explore voice-led interactions for people who prefer speaking or find long text difficult.
04 / Trust
Trust through transparency
Communicate AI limitations and encourage professional guidance when needed.
05 / Accessibility
Accessible by default
Use readable typography, large touch targets, recognizable icons, and consistent navigation.
06 / Continuity
Care beyond the screen
Consider patients, caregivers, and healthcare professionals across the wider care journey.
06 / Product concept
Your health companion, in a language you understand.
Sahayak AI brings essential health tasks into a more approachable mobile experience, with a focus on multilingual assistance and chronic-care management.
01 / Understand
Health information
Explore simpler explanations of reports, prescriptions, and care instructions.
02 / Manage
Daily care
Track medication routines, readings, care-plan tasks, and appointments.
03 / Connect
Care coordination
Explore caregiver sharing and connections with healthcare providers.
04 / Ask
AI assistance
Ask questions and explore understandable information and appropriate next steps.
Sahayak AI is a product concept intended to support understanding and care management, not diagnose conditions or replace qualified healthcare professionals.
07 / Information architecture
Organize healthcare around what people need to do.
The initial architecture explored a broad healthcare journey. The evolving direction focused on making the most important everyday actions easier to find.
Home
What needs my attention today?
Daily medication tasks, health status, quick readings, appointments, and relevant reminders.
My Care
How do I manage my treatment?
Treatment schedules, medication routines, lifestyle guidance, and progress tracking.
Health Records
How can I understand my history?
Reports, prescriptions, historical readings, simplified summaries, and record-sharing options.
Sahayak AI
Where can I get help?
Conversational questions, simpler explanations, and guided options for next steps.
08 / Voice-first UX
When healthcare language feels unfamiliar, start with a conversation.
The prototype explores voice as an alternative route to information—not as a replacement for clear text, visible controls, or user choice.
Speak
Express a question or concern through a voice-oriented interface.
Understand
Receive a simpler explanation in a more accessible conversational format.
Choose
Review clear options for an appropriate next step.
Continue
Move towards relevant care activities or professional guidance.
Technology should adapt to the user—not require the user to adapt to technology.
09 / Visual design system
Familiar, reassuring, and easy to navigate.
The visual direction uses restrained colour, structured cards, and clear hierarchy to make everyday healthcare tasks feel less intimidating.
Calm visual language
Warm off-white surfaces and green accents create a restrained, supportive environment.
Readable hierarchy
Clear headings, concise content, and separated sections support scanning.
Large, accessible actions
Prominent controls and generous touch targets make key interactions easier to locate.
Consistent components
Reusable cards and predictable patterns reduce the need to relearn interactions.
Visual health summaries
Charts and status indicators explore alternatives to dense medical data.
Ethical interaction
Supportive reminders, transparent AI limitations, and user choice around sharing.
10 / Iteration one
A comprehensive solution can still feel complicated.
The first design iteration explored multiple healthcare workflows. Usability evaluation revealed where the breadth of the experience introduced unnecessary friction.
What worked
- +Visual summaries made health information more approachable.
- +Users responded positively to AI assistance for everyday questions.
- +Local-language support encouraged interaction.
- +Guided steps made routine care tasks feel more manageable.
What needed improvement
- !Too many onboarding steps.
- !Layered navigation and overlapping feature groups.
- !Dense medical information and AI explanations.
- !Low discoverability of emergency/SOS support.
- !Health visualizations that needed clearer explanations.
11 / Usability testing
Observe where people hesitate—not just where they tap.
The presentation documents a usability evaluation with 14 participants across remote and in-person sessions. Five representative tasks were assessed to identify friction in key healthcare workflows.
14
Usability test participants
4.1/5
Recorded overall satisfaction
4.6/5
Dashboard utility rating for daily diabetes logging
| Usability task | Recorded completion | Average time |
|---|---|---|
| Get started and set up profile | 5 / 14 | 2 min 50 sec |
| Book a consultation | 5 / 14 | 3 min 15 sec |
| Upload a prescription | 4 / 14 | 3 min 45 sec |
| Complete daily diabetes logging | 11 / 14 | 2 min 10 sec |
| Find emergency/SOS support | 4 / 14 | 1 min 35 sec |
Onboarding
Reduce profile setup effort and clarify the first steps.
Navigation
Make consultation booking and prescription upload more intuitive.
Emergency access
Make SOS support more prominent and easier to discover.
These figures describe the documented prototype evaluation. They do not establish improved clinical outcomes or statistically representative results for all Tier 2 and Tier 3 users.
12 / Design iteration two
From feature-first to task-first.
Testing informed a shift towards a more focused architecture, with clearer pathways from a user's concern to an understandable explanation and next action.
Before testing
Journey-led and feature-heavy
- ×Broad architecture with nested navigation choices.
- ×AI functions spread across different screens.
- ×Overlapping content and high information density.
- ×Critical actions not always easy to find.
After testing
Task-led and goal-oriented
- ✓Clearer separation of immediate and historical tasks.
- ✓More coherent AI interaction sequence.
- ✓Related features grouped into logical modules.
- ✓Greater focus on language access and discoverability.
Symptom→Understanding→Explanation→Action
13 / Prototype showcase
A more approachable way to manage everyday care.
The improved prototype explores a welcoming language-selection experience, a focused home dashboard, voice-led AI interaction, guided options, supportive reminders, and organized health information.
Explore the Figma prototype ↗The prototype demonstrates a proposed product experience; it is not a deployed medical service.
♡
Sahayak AISamjhe sehat.
Samjhe sehat.
Sahi waqt par sahi kadam.
14 / Product vision
From fragmented healthcare tasks to connected, continuous care.
The longer-term vision explores how a healthcare companion could support patients, families, and providers through more coordinated care.
01 / Expand
Chronic-care support
Explore future support for conditions such as hypertension, cardiovascular diseases, and kidney disorders.
02 / Integrate
Healthcare ecosystem
Investigate potential connections with providers, diagnostic services, pharmacies, and relevant digital health infrastructure.
03 / Personalize
Ongoing guidance
Explore adaptive education and lifestyle support aligned with individual care plans and professional guidance.
These are future product opportunities, not capabilities validated by the current prototype.
15 / Business thinking
Build meaningful patient value into a sustainable product model.
The presentation also explores a potential business model across subscriptions, consultation commissions, diagnostic referrals, pharmacy partnerships, hospital licensing, AI health-report services, and sponsored programmes.
Proposed investment
₹50L
Total investment estimate in the presentation.
Projected annual revenue
₹2.64Cr
Illustrative annual revenue estimate.
Projected ROI
428%
Presentation projection, not a realized result.
The model also estimates ₹2.14 crore net return and a 10–12 month break-even period, assuming 60,000 target users, 36,000 monthly active users, and 4,200 premium subscribers. All figures are hypothetical and require validation of adoption, pricing, costs, partnerships, and regulatory requirements.
16 / Key learnings
Accessibility is not an additional feature. It shapes the entire experience.
The project reinforced the importance of designing around real user context rather than assuming every user approaches healthcare and technology in the same way.
Understanding is part of access
Medical information becomes more useful when people can understand it and identify an appropriate next step.
Design for real digital behaviour
Familiarity with everyday apps does not automatically mean confidence with healthcare-specific workflows.
Voice should complement visual UX
Multilingual voice interaction can provide an alternative path while clear text and visible controls remain important.
Caregivers are part of the ecosystem
Support family coordination while preserving patient choice and appropriate control.
Trust requires responsible AI
Prioritize clear explanations, transparent limitations, privacy, and professional guidance.
Testing changes direction
Usability evaluation exposed friction that visual polish alone could not solve.
17 / Closing reflection
Healthcare should leave people feeling more informed, not more overwhelmed.
Sahayak AI began with a question about the gap between receiving healthcare information and knowing what to do with it. The exploration moved towards a more accessible, task-oriented, and conversational experience—one that connects medical information with everyday action and recognizes trust as a core part of healthcare UX.
Sahayak AI
Samjhe sehat. Sahi waqt par sahi kadam.
Design that Evolve · Think beyond the screen. Design for the people behind it.