Context
Final Result
Design Moments
Impact
Reflections
Context

Why It Exists

Domestic helpers are integral to many households, yet the systems around their hiring, onboarding, and daily work stay informal, fragmented, and often inequitable. CareLink examines this ecosystem and proposes a connected platform that brings structure, transparency, and trust to everyone involved.

What We Heard and Observed

Our research surfaced a system that worked largely through personal networks, agencies, and informal referrals rather than a shared digital structure.

Trust was negotiated informally

Households often relied on referrals and word of mouth when deciding who to hire.

Information was fragmented

Profiles, experience, availability, and verification details were spread across agencies, conversations, and personal records.

Agencies were central to the process

For many helpers, agencies acted as the bridge between finding work, maintaining records, and building trust with households.

Digital access wasn't uniform

Differences in language, digital familiarity, and access to documentation affected how easily helpers could participate in a digital system.

These observations became the basis for looking beyond a simple hiring marketplace.

Problem Statement
Domestic helpers in Pune miss out on stable and reliable job opportunities because they rely heavily on informal networks and lack awareness of structured agency systems. At the same time, both helpers and service receivers face issues of trust, safety, and lack of support in case of disputes.
Result

Final Solution

Instead of just a regular app, we designed a connected system that brings all stakeholders together. Core elements include:

Verified helper profiles (KYC + background checks)
Structured onboarding for agencies
Intelligent matching based on skills, language, and preferences
Transparent payment tracking
Emergency support and dispute resolution
Training and awareness modules for helpers
Final solution screen 1
Final solution screen 2
Open Workspace in Figma
Process

Key Design Moments

Seven moments shaped CareLink: fieldwork, a validating survey, synthesis into a clear problem and market gap, How Might We questions, open ideation, a system model, and a grounding storyboard.

01 Fieldwork Across Stakeholders

Research Approach

To understand the system in depth, we used a mix of qualitative and quantitative methods:

Contextual inquiry (observations + interviews)
Questionnaire survey
Competitor analysis
Journey mapping
Personas and empathy mapping

We studied all three stakeholders:

Domestic Helpers

Workers seeking stable employment, fair wages, and recognition within the system.

Agencies

Intermediaries that connect helpers to households, operating largely through manual, unstructured processes.

Service Receivers

Households and professionals seeking reliable, verified domestic help for their daily needs.

Research fieldwork 1 Research fieldwork 2
Research fieldwork overview
02 Validating With Data

Survey Insights

The survey helped validate patterns observed during field research:

Service Receivers
Only about half are satisfied with their current help
Trust and safety are the biggest concerns
Strong need for verification and reliability
Agencies
Operate mostly through manual processes
Depend heavily on walk-ins
Struggle to maintain trust between helpers and customers
Helpers
Face long hours, low wages, and health issues
Seek stability, better pay, and social security
Low awareness limits access to better opportunities
03 Synthesizing the Insights

What This Meant

Four themes emerged from the research:

Trust needs structure

Households wanted confidence in who they were hiring, but the existing system offered little consistent way to verify experience or identity.

Agencies already provide infrastructure

Rather than bypassing agencies, a digital service could strengthen the role they already play in verification, matching, and support.

Transparency has two sides

Households wanted more information about helpers, while helpers needed control over what personal information was exposed and to whom.

Access matters as much as information

A system could only work if helpers could understand, maintain, and benefit from their profiles without needing to become highly digitally literate.

This shifted our opportunity from building another domestic-help marketplace to creating a shared layer of trust between helpers, agencies, and households.

Market Gap

Existing platforms solve parts of the problem but not the system as a whole:

Some focus on verification but are expensive
Some offer discovery but lack trust
Some are local but unstructured

There is a clear opportunity for a system that balances trust + structure + affordability.

✕ A problem we faced

The Wall We Hit: Navigating the Trust-Privacy Paradox

During synthesis, we hit a major design wall: households demanded complete transparency and background checks, but domestic helpers were deeply resistant to digitizing their personal documents due to privacy fears and institutional distrust.

Rather than forcing a standard digital KYC that would have alienated the helpers, we pivoted the system architecture toward agency-backed trust badges and masked verification, balancing employer safety with helper protection before moving into our core direction.
04 Framing the Direction

How Might We

Our research revealed a clear opportunity for a system that balances trust, structure, and affordability. These questions guided our design direction:

Transparency

How might we create a transparent and trustworthy hiring system without compromising personal data privacy or intimidating vulnerable workers?

Awareness & Access

How might we improve awareness and access for domestic helpers?

Conflict Support

How might we support both helpers and employers in case of conflicts?

Structure

How might we bring structure and agency-backed safety to an otherwise informal, high-friction ecosystem?

05 Open Ideation

Ideation

We explored multiple directions through a combination of structured and generative methods to surface patterns, themes, and potential interventions:

Cultural Model
Brainstorming
Lotus blossom diagram
Cultural Model Brainstorming
Lotus blossom diagram

Key opportunity areas emerged:

Trust & Verification Wage Transparency Structured Onboarding Communication Clarity Dispute Resolution Job Stability
Concepts Explored
Smart hiring kiosks Smart hiring kiosks
WhatsApp community-based hiring WhatsApp community-based hiring model
06 Modeling the Ecosystem

Designing for the System

CareLink sits between three groups that already depend on one another:

Helpers

Need access to opportunities, control over their information, and a reliable record of their experience.

Agencies

Provide verification, matching, and ongoing support, but often manage this information manually.

Households

Need confidence that the person they hire is experienced, verified, and available.

Rather than replacing these relationships, we designed CareLink to connect them.

Helpers
↔
Agencies
↔
Households

The agency becomes a trusted verification layer, while CareLink gives each participant a clearer way to access and exchange information.

07 Grounding the Concept

Storyboard

To ground the concept in real life, we developed a storyboard tracing the journey of a helper and an employer from first contact through resolution of a conflict, using CareLink at every step.

Storyboard panel 1
Storyboard panel 2
Impact

Why CareLink

As an academic service-design project, CareLink wasn't piloted with a live agency, so impact here is framed as design intent — what each part of the system is built to change for the stakeholders it serves.

Built on Trust

Verified profiles and background checks create a foundation of accountability for both helpers and employers.

Structured by Design

Clear onboarding, contracts, and records replace informal, verbal-only agreements that leave room for exploitation.

Empowering Helpers

Training modules, rights awareness, and emergency support give helpers visibility and agency within the system.

Accessible & Affordable

Designed to work for households across income levels, balancing premium features with essential access for all.

LEARNINGS

Reflections

Social & Economic Complexity

This project helped me understand how deeply social and economic factors shape design problems. What initially seemed like a simple hiring issue turned out to be a complex system involving trust, awareness, and power dynamics.

Designing for All Stakeholders

Considering every stakeholder, not just end users, was critical. The helpers, employers, agencies, and regulators each had different needs that the system had to address simultaneously.

Next Steps

If given more time, I would focus on usability testing specifically for the helper-facing interface to ensure low digital literacy isn't a barrier to their empowerment.

More Work