SlashTab Smart Bill Splitter
AI-powered real-time bill splitting platform
for a complex group dining
Role
Design & Brand Experience Lead
Interaction Design, UX Research, Product Strategy
Team
3-person founding team
(Product, Strategy, Design)
SlashTab is an AI-powered web application that helps groups split restaurant bills instantly and fairly. Users take a photo of a receipt, and SlashTab automatically extracts items, tax, and tip using AI. Friends join through a shared link, select what they ordered, and see exactly what they owe in real time.
Platform
Web app (mobile-first)
Timeline
4 weeks
The product transforms an awkward, error-prone social moment into a clear, collaborative experience to no calculators, no spreadsheets, no arguments.
Core pain points are:
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Bills are often paid by one person, forcing manual reimbursement later.
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Existing tools require manual entry and do not support item-level fairness.
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Taxes, tips, and service fees are confusing, especially for international users.
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Group coordination breaks down across multiple devices and payment apps.
The goal is to design a platform that:
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Works instantly without downloads
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Supports real-time group collaboration
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Handles item-level fairness, tax, and tip automatically
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Feels effortless, trustworthy, and intuitive
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Upload or photograph a receipt
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AI automatically parses items, prices,
tax, and tip -
Friends join via link or QR code
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Each person taps what they ordered
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Totals update instantly and payments
are shared to individuals
SlashTab uses AI-powered receipt parsing to extract items, prices, tax, and tip from real restaurant receipts.
Payments are completed through one-tap links to Venmo, Cash App, Zelle, or PayPal.
The downloadable receipt summary supports follow-up and transparency.
The product is designed for real-time collaboration. Participants join instantly through a shared link, item assignments sync live across devices, and shared dishes can be split using adjustable ratios.
My focus was on:
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Designed the end-to-end user flow from receipt upload to payment
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Reduced cognitive load through clear hierarchy and progressive disclosure
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Synthesized qualitative feedback into actionable UX changes
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Contributed to feature prioritization
and MVP scope
We conducted usability testing with 10+ participants using realistic dining scenarios.
Key Findings
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The initial flow felt out of order. Users wanted to upload a receipt before adding people first.
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Item-splitting interactions were perceived as intuitive and even “fun.”
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Payment steps lacked clarity around who sends and who receives money.
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Some users wanted a faster, simpler option for equal splits.
Based on testing insights, we proposed and designed improvements:
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Clarifying payment direction and post-payment navigation
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Adding a short onboarding message to clarify purpose instantly
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Introducing a “Quick Split” mode for even division without receipts
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Improving visual feedback for progress and system states
As for the impact, the average bill-splitting time was reduced from ~7 minutes to ~1 minute.
Also, 90% of testers described the experience as faster and fairer than their existing methods.
We saw strong engagement around real-time collaboration and item-level fairness, validating SlashTab’s core interaction model and supporting future expansion into analytics and AI-assisted insights.
SlashTab strengthened my ability to design complex interaction systems that balance social behavior, technical constraints, and clarity.
The project reinforced how thoughtful interaction design can reduce friction in everyday moments while scaling toward larger product ecosystems.
