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Personal Project

Redrop

Redrop

An app that helps women manage PCOS better.

An app that helps women manage PCOS better.

Managing PCOS shouldn’t feel overwhelming.

Polycystic Ovary Syndrome (PCOS) is one of the most common hormonal disorders among women of reproductive age. Women with PCOS may experience irregular menstrual cycles, excess androgen levels, acne, weight fluctuations, and long-term health complications. In India alone, more than 1 million cases are recorded every year

Despite how common it is, managing PCOS often feels confusing and fragmented. Information is scattered. Doctor visits are infrequent. Lifestyle adjustments are difficult to sustain. Many women are left navigating it alone.

Redrop was designed was designed as a dedicated app to help women better understand and manage PCOS through accessible information, tracking tools, and medical support integration.

DESIGN PROCESS

Designing with users (not on assumptions)

Designing with users (not on assumptions)

Redrop followed a User-Centered Design (UCD) approach — an iterative process where users and their needs remain central at every stage. Rather than building features first, I focused on understanding who this product was really for.

Who is this app really for?

The app needed to serve three groups:

1.

Women and girls who suspect they may have PCOS

2.

Those already diagnosed

3.

Individuals supporting someone with PCOS

This widened the scope beyond tracking. The solution had to educate, guide, and assist — not just monitor.

QUALITATIVE RESEARCH

Listening before designing: qualitative research

I conducted interviews with 6 individuals to understand lived experiences with PCOS. The goal was depth over volume — gathering nuanced insights into emotional and behavioral challenges.

These conversations revealed patterns around inconsistency in follow-ups, confusion around treatment options, and difficulty maintaining lifestyle changes.

INTERVIEW QUESTIONS

INTERVIEW QUESTIONS

How long have you been diagnosed with PCOD/ PCOS?

What kind of treatment do you prefer for PCOS/ PCOD?

How often do you visit their doctor regarding PCOD?

How often do you visit their doctor regarding PCOD?

QUANTITATIVE RESEARCH

Validating patterns through quantitative research

Validating patterns through quantitative research

To observe broader trends, I conducted an online survey using Google Forms. 25 people participated.

The survey explored demographics, trust in digital health, and behavioral patterns.

What is your age?

18-25

25-30

30 above

What is your age?

18-25

25-30

30 above

Would you consider making an online appointment with doctor due to the pandemic?

Yes

No

Maybe

On a scale of 10, how much do you trust an online application with your medical records?

0-4

4-7

Above 7

The charts under quantitative research reinforced one thing: users are willing to go digital, but trust must be designed intentionally.

USER PERSONA

Defining a face to the data

Aishani Pachauri

20 years old

she/her

Undergraduate

Delhi, India

Frustrations

Eating restrictions on sweets

Breakouts and Acne

Regular exercising

Interests

Singing

Cooking

Binging Kitchen Nightmares

Frustrations

Eating restrictions on sweets

Breakouts and Acne

Regular exercising

Interests

Singing

Cooking

Binging Kitchen Nightmares

From Insights to Ideas

From Insights to Ideas

Based on research, I generated feature directions:

Creating awareness about PCOS

A menstrual cycle tracker

Menstrual cycle analysis

Pill reminders

Questions to ask doctors during digital consultations

Articles and educational content

Free home sample collection

Online doctor appointment booking

Online pharmacy integration

USERFLOW

Structuring the ecosystem

The user flow mapped how someone would navigate the app. The structure ensured medical support and lifestyle tracking coexisted within one ecosystem rather than fragmented tools.

Wireframes

Wireframes

Once I had the structure and flow for the app, I started a lo-fi sketching to mid-fi designing process in order to give a body to the app that I could further test with users.

Hi-Fidelity frames

Hi-Fidelity frames

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