This case-study is still in the build with only a few sections live, but please feel free to scroll through!

Overview


001

I conducted Desk Research and User Interviews to design the User Flow and Design Guidelines of a Female Health AI Assistant. Aruja (meaning: healthy) is a chatbot, aimed to improve access to female healthcare by helping to destigmatize female health and hygiene issues in rural India.

Outcome

🥳I recieved an offer from Lollypop Design Studios for my work and the report was appreciated by the UX Research Manager.

Context

As part of my Interview at Lollypop Design Studios, I was given a brief to conduct research on and derive useful insights.

Challenge

Talking about women’s health issues are a big taboo in most parts of rural India. The goal of the challenge is to create a AI assistant that can help women living in rural and non-metro cities find information and remedial solutions about women’s health.

Solution

  1. Aruja offers awareness and education by busting myths about female health and hygiene

  2. Recommends well-reviewed doctors, nearest hospitals and pharmacies.

  3. Can be used to track the menstrual cycle, moods, eating and drinking habits to keep in check reproductive health.

PROCESS


002

RESEARCH

DEFINE

IDEATE

DESIGN

Desk Research, Competitor Analysis, One-on-one generative interviews with Experts, Stakeholders and Potential Users

User Persona, scoping the goals of the design solution

Cementing the Features and incorporating accessibility

User Flow and Chatbot Personality


003

Research OVERVIEW

Research Questions

How are existing solutions attempting to alleviate the issue?

How deep is the stigmatization of female healthcare in rural India?

What are the implications associated taboos on women’s health?

Research METHODOLOGY

Desk Research

Competitive Analysis

Generative Interviews


004

Desk RESEARCH

“Gender is one of the main social determinants of health—which include social, economic, and political factors—that play a major role in the health outcomes of women in India and access to healthcare in India.Therefore, the high level of gender inequality in India negatively impacts the health of women.” (Balarajan, Y, Selvaraj, S, 2011)

Qualitative Insights

Many Indian doctors refuse to treat sexually active unmarried women

It has been found that Indian women frequently underreport illnesses.

Indian women are more likely to have difficulty traveling in public spaces than men, resulting in greater difficulty to access services.

(Powell, 2007)

(Habib, Jamal, et al., 2021)

(McDougall, 2021)

Quantitative Insights

The current population of women is rural India is close to 406 million and growing.

(The World Bank, 2019)

406 m

124%

Percentage of women who underreported illnesses in comparison to men

(Powell, 2007)

53%

Women out of 769 unmarried women surveyed, were uncertain of whether their concerns were valid enough to warrant medical attention

(Desai, 2019)

65%

Women from 413 low-income households reported feeling depressed and anxious

(Ammu Sanyal, 2021)

Affinity Diagram to organize themes emerging from Foundational Research


005

Competitive Research


006

Interviews

Key Recommendations Based on ResearcH Data

Personalization by menstrual health, medicine tracking

Community recommended non-judgmental clinics and pharmacies

Education, awareness and myth-busting

The following sections will be updated soon, thank you for reading!

  • User Flow