Sahana Banavara

Product Designer · Bengaluru

Open to new roles
Sahana Banavara
Product Designer
Open to new roles
About Sahana.txt
Sahana Banavara
Product Designer · Bengaluru
3 yrs · e-com, proptech, saas
Targeting: consumer AI roles
Open to remote
Ask why before asking how.
Design = invisible smooth.
contact.sahanawork@gmail.com
↓ Click cards to explore
More Work
Nexs.fig
Nexs
Remember who you met and why they mattered
Consumer app0→1
+50
Early validations
0→1
End to end
Open case study →
Odin.fig
AI agentmacOS
Odin
AI that organises your machine around you
4 features
End to end
AI-native
macOS agent
Open case study →
Work.fig
3 yearsShipped
Selected work
E-com · PropTech · B2B SaaS
Checkout redesign
Property discovery
Onboarding flow
View work →
BloxSignup.fig
PropTechShipped
Blox Signup
Redesigned sign-up flow · +30% retention
+30%
Sign up rate
Shipped
Live product
Open case study →
Purdy&Figg.fig
Coming soon
Purdy & Figg
Two high quality mockups incoming
FinCrime.fig
B2B SaaSEnterprise
Financial Crime SaaS
Flagging and monitoring tool for financial compliance
Enterprise
Scale product
NDA
On request
Open case study →
+
Nexs — Case Study
Consumer app0→1Mobile2026

Nexs — remember
who you met.

You go to events. You meet people. You connect. A week later — no idea who they are or why you connected. Nexs fixes the part every networking tool ignores: the context.

Role
Solo designer
Type
0→1 concept
Platform
iOS
Year
2026
The problem

LinkedIn remembers who they are.
Not who they are to you.

I was scrolling LinkedIn and came across someone I'd had a genuinely good conversation with at a design event. Their name, their face — nothing. I'd connected, which meant I'd signalled interest, but I had no memory of who they were to me.

This isn't a memory problem. It's a tool problem. LinkedIn is optimised for broadcasting, not remembering. It captures who someone is — not where you met, what you talked about, or why you wanted to stay in touch.

"No other networking tool asks: what did you talk about?"

Screens

Four screens. One question that matters.

Empty state
Empty state — show before you ask
Events
Events list — your network by moment
Contact
Contact — collapsed vs expanded
Add contact
"What did you talk about?" — the field that matters
Decision moments

Where the real design happened.

01
Event-first architecture — the scan alone means nothing
Started the flow at the scanner. Realised mid-design that a contact without event context is just a contact. The event is what gives every person meaning. Restructured the entire IA around this insight.
Systems thinking
02
URL fallback — never let a technical failure break a human moment
QR codes fail in real venues. Added manual URL entry as a designed escape hatch with equal visual weight — not buried in settings. Right there, always.
Edge case empathy
03
Scraper API deferred — constraint made the thinking sharper
Wanted auto-populate via LinkedIn scraper for V1. Budget said no. Documented the API path clearly so any engineer knows exactly what to build next.
Constraint-aware thinking
See it in action

The flow, from start to finish.

Every decision you just read about — visible in the prototype.

Next project
Odin — AI that knows your machine
+
Odin — Case Study
AI agent macOS Concept 2026

Odin — AI that knows
your machine.

Your computer knows everything about how you work. It just never tells you anything. Odin changes that.

Role
Solo designer
Type
AI concept
Platform
macOS
Year
2026
The concept

The vision, in 60 seconds.

The problem

Your desktop is a crime scene.
Nobody investigates it.

Hundreds of files, duplicates, folders untouched for years — your computer knows all of this. It just never tells you. Every unorganised file is a small tax on your attention. Odin watches how you work and surfaces what matters, before you have to ask.

"The computer already knows what you need. Odin just tells you."

The interface

Designed for people who don't want
to think about their files.

Odin screen 1

Proactive suggestions — Odin speaks first

Odin screen 2

Natural language — ask anything about your files

Odin screen 3

One tap actions — archive, sort, delete

The thinking

Three decisions that shaped it.

01
Proactive not reactive
Most tools wait for you to ask. Odin watches and speaks first — but only when the signal is strong enough. Too sensitive and it's noise. Too quiet and it's invisible. The trigger threshold was the hardest call.
Interaction model
02
Menubar not a full app
A full app window would feel like work. Odin needs to feel like a nudge from your computer. The menubar was the only right answer — always accessible, never in the way.
Platform thinking
03
The business model tension
If people organise their machines better, they buy fewer new devices. That tension is real and worth naming. Odin serves the user, not the platform. That's a deliberate stance.
Product philosophy
What's next

Ready to build.

Odin is a designed prototype with a working demo. The foundation is solid — calendar integration, a proper natural language layer, and a menubar agent that genuinely learns. The product is ready to be built.

Next project
Selected work — 3 years shipped
+
Selected Work
E-commercePropTechB2B SaaS

3 years of work
shipped.

Research-led design across e-commerce, proptech, and B2B SaaS — from discovery to production.

Coming soon

Case studies in progress.

Add your professional case studies here — each one showing the research, decisions, and outcomes from your shipped work.

+
Blox — Case Study
PropTechE-commerceShipped2024

Blox — redesigning the path
to sign up.

Property buyers were dropping off before they ever committed. The form was broken, the CTAs were unclear, and the flow had no logic. A research-led redesign changed that — sign ups improved by 30%.

+30%
Sign up conversion
Research-led
Every change validated
Shipped
Live in production
Role
Product Designer
Company
Blox.xyz
Platform
Web app
Year
2024
The problem

Good product,
broken front door.

Blox connects property buyers with verified listings. The product was strong — but the sign up experience was leaking users before they ever got in. Poor form design, unclear CTAs, and a flow with no logic. Buyers arrived with intent and left without committing. The data confirmed it. The fix required going back to the user's mental model — what does someone trying to buy property actually need to feel confident enough to create an account?

Key screens

The redesign, at a glance.

Four frames from the full case study — the moments that tell the story.

Redesigned hero — after
Before state — original broken flow
Search page — redesigned
Mobile sign up experience
Full case study

The complete journey.

Every screen, annotation, and decision — click through the full prototype below.

Blox signup — interactive prototype
The outcome

30% more sign ups.
Measurable, shipped, real.

+30%
Conversion uplift
Improvement in sign up conversion after redesign shipped to production
Research-led
Every change backed by user drop-off data and friction analysis

What I learned — Poor CTAs aren't a copy problem, they're a trust problem. Users don't click when they don't feel safe. The redesign worked because it restructured the emotional journey, not just the visual layout.

Next project
Blox Gallery — +19% time on page
+
Financial Crime SaaS — Case Study
B2B SaaSEnterpriseShipped2023

Financial Crime SaaS —
designing for compliance at scale.

Large financial organisations need to monitor millions of transactions for signs of criminal activity. The tool existed. The experience didn't.

Role
Product Designer
Type
Enterprise SaaS
Platform
Web
Status
NDA — details on request
The product

Flagging, monitoring, and making sense
of financial crime data.

This is a compliance monitoring tool used by large organisations to analyse order data for financial crime signals — flagging suspicious activity, tracking cases, and helping compliance teams act faster. The users are financial crime analysts who spend their entire day inside this tool. Every second of friction is a second of compliance risk. I designed core workflows including the ticketing system and the search and categorisation interface — making it faster for analysts to find, flag, and act on suspicious patterns in large datasets.

The challenge

Complex data. Non-technical users.
Zero margin for error.

Financial crime compliance tools have historically been built by engineers for engineers. The interfaces are dense, the workflows are non-obvious, and the cognitive load is enormous. My job was to make the complexity invisible — to design a system where analysts could move through large volumes of data without losing track of where they were or what they needed to do next. The design had to balance information density with clarity. Every screen needed to answer one question clearly before asking the user to make a decision.

Selected screens

The interface.

Select screens shown — full case study available on request.

Ticket raising flow — structured input for complex compliance events

Search and categorisation — name-based filtering across large datasets

The outcome

Seamless workflows for
high-stakes work.

Enterprise scale
Designed for large organisations handling millions of transactions
NDA protected
Full case study and additional screens available on request

What I learned — In enterprise tools, the biggest UX win is reducing the number of decisions a user has to make per task. Compliance analysts don't have time to think about the interface. The interface has to think for them.

Back to
Nexs
+
More Work
Shipped3 years

More work &
experiments.

A collection of shipped work, side explorations, and in-progress ideas that don't fit a single case study.

The work
Back to
Desktop
LinkedIn
X / Twitter
Resume
Copy email
Built with Claude
Designed in Figma
Built in VS Code
contact.sahanawork@gmail.com copied