2025 Harshita Dandu

Made with coffee(lots of it) & questionable duck advice 

Last updated on 12 Oct 2025

Finding 1

Problem 1

Recommendation 1

Introduce a consistent global nav and unify marketplace flows to make core features easy to find

  1. We added a global bottom navigation bar with clearer icons so students always know where the core app features live, reducing

    mis-taps and backtracking between core actions.

  2. Grouped coming-soon features into a single AI tile to reduce visual noise and highlight interest through visible sign-up counts.

  3. For Marketplace, we replaced the split buy/sell pathways with a single entry point and "Sell a product" CTA, and shifted focus from

    category-heavy paths to real inventory first.

Finding 2

Roommates

Housemates

Communicate match logic clearly and design flexible filtering to help students trust and act on the results

To improve search accuracy, we added a dedicated filter page with familiar controls, multi-select options, and a clear display of active

filters. An AI-powered search bar further accelerates discovery by surfacing personalized results quickly


We added visible verification badges and a Compatibility Breakdown so students can immediately see which profiles are real and why

someone is a good match

Problem 2

Recommendation 2

Finding 4

Simplify location selection and expand preference options to make choices feel easier and more intentional

We clarified the purpose of location selection and introduced a more flexible preference model to make onboarding feel intuitive rather than restrictive. This helps students understand why certain inputs were needed and gives them options that better reflect their real-life habits. It encourages students to complete setup without hesitation.

Problem 3

Recommendation 3

Finding 3

Make listings clearer and easier to revisit so students can quickly judge fit now and have strong reasons to come back later

  1. We made oom, roommate, and product listings more scannable by surfacing the most relevant details up front

  2. Added dedicated detail pages so students can review full information before deciding to reach out

  3. Introduced wishlist and saved-search patterns across rooms and products so students can track options they like and revisit them

Problem 4

Recommendation 4

Behind the curtains

🌟 Major Findings & Insights

Transforming notes into insights

From our research, four clear UX issue themes emerged


🔍 Usability Testing

Investigating the unmet needs of Saciva users

01

User Interviews

We interviewed 8 students to understand what decisions

they made and what goals they had while finding housing,

roommates, & marketplace products

02

Tasks Performed by users

03

Post - Test Questionaire

Following the tasks, we asked participants questions

to determine…

4/8 users said they would use

Marketplace the most, 4/8 for

finding roommates & 2/8

for rooms, revealing an

opportunity to drive repeat visits through Marketplace


5/8 users loved the

dark mode aesthetic,

while 1 user preferred

simpler visuals.

4/8 users were unsure if they would continue using the app because the experience didn’t feel trust-worthy, revealing that they were looking for more credibility before committing to it.

🌟 Defining Objectives & Goals

High-level goals that defined our study

We started with a  kick-off meeting with Saciva’s founder to understand the product’s vision, identify what wasn’t working, and define what

success would look like for the team

Transforming early conversations into north stars.gif


Making it easier for

students to complete

key tasks without

spending too much

time on the app

Increase repeat visits

by encouraging

students to come

back after first use &

adopt more

features over time

Grow the platform’s

inventory by

increasing the

number of listings

Increase the number

of students who

complete onboarding

without dropping off

Understand whether

students want an AI

assistant to help

them find relevant

options faster

"We’re stuck in a

chicken-and-egg loop


Students hesitate to engage because

the app feels too empty, but it stays

empty unless students engage"

- Founder, Saciva

Introduction

For many students, especially those moving to a

new country, finding housing, reliable roommates,

and affordable essentials can feel overwhelming


Saciva aims to simplify that transition by

bringing rooms, roommates, sublets, and a

student marketplace together in one place

TLDR - Toggle between findings & recommendations

Findings

Recommendations

9:41

Finding 1


Inconsistent navigation and

unclear entry points made it

hard for students to find and

move between core sections

Finding 3


Early onboarding friction hindered smooth entry into the app

Finding 2


A lack of visible verification and unclear filtering behavior reduced students’ trust in the results

Finding 4


Students struggle to confidently evaluate rooms, roommates, and products due to limited clarity in listings

Before

Eliminating early friction & trust gaps to

increase user adoption & return rates

Saciva

ROLE

User Research

Recruitment

Usability Testing

Interaction Design

TEAM

4 UX Designers,

1 Design Mentor

MADE IN

6 Weeks

(Oct 2025 -

Dec 2025)

Mobile Mockup Image
Mobile Mockup Image
Mobile Mockup Image

✨ AI Feature Insights

In post-test questionnaire, we asked users how an AI assistant could support their search experience and what

role they wanted it to play

💬 Hover to see real user quotes

Students saw value in AI only if it saved them time by reducing manual searching

Recommendation: AI-assisted search alerts & personalized suggestions for new or similar items.

Students wanted AI to enhance, not replace, filtering, they still wanted control over the criteria

Recommendation: Integrate AI-assisted search bar that works on top of existing filters instead of overriding them.

AI was appealing when it helped match very specific lifestyle preferences (spending habits, cleanliness, food choices, amenities)

Recommendation:  Introduce richer lifestyle inputs so future AI matching can suggest roommates & rooms that mirror how students actually live together.

Saniya, Harshita, Sriya, Tarun

A huge thank you to my Professor Tankha for his valubale guidance throughout the project & my incredible team!! 🥰

Truly the best people I could’ve asked to learn and create with <3


Meet the team

Final Reflections

Next Steps

This redesign lays the foundation for Saciva’s next chapter, but there’s still more to explore. My next steps would be to validate these solutions through another round of user testing and see whether the new flows actually make it easier for students to onboard, navigate, and complete key tasks.


I’d also love to explore AI more deeply, prototyping different ways an assistant could refine search, suggest matches, or resurface saved items without feeling intrusive.

Feel free to flip through our detailed usability report here!

Thank you!

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