Redesigning a Royalty Billing Platform

Franchisees struggled with manual data entry, confusing royalty logic, and error-prone workflows—leading to billing delays and growing support requests. This redesign automated royalty calculations, standardized POS data uploads, and unified insights across multiple franchises.

60%

reduction in manual data errors

40%

increase in user satisfaction

50%

faster POS uploads

Project Type

Enterprise Fintech SaaS Platform (B2B)

My Role

Product Designer (UX, UI, and Strategy)

Team

Frontend Designer, PM, Developers, QA, Client Stakeholders

Tools

UXPin, Adobe Photoshop, Assembla

highlights

A Quick Look at the Impact

Account Configuration Made Scalable

Redesigned the complex account mapping UI into clean, editable rows—enabling admins to configure royalties, AD funds, and fees with clarity and control.

Cap Templates with Smart Defaults

Introduced a structured “Add Cap” interface allowing finance teams to manage royalty caps by type, value, and date—all in a centralized view.

Mass CPI Rule Updates in Seconds

Bulk-update royalty rules across multiple franchises with one action. Rule names, types, dates, and center counts are clearly surfaced and editable.

Faster Franchise Onboarding

Streamlined new franchise creation into a 3-step process—making it simple for non-technical admins to onboard centers with proper rule linkage.

Live Royalty Calculation at Checkout

Sales and subcontract data feed directly into a visual royalty calculator, offering instant breakdowns and transparency across all applied rates.

the problem

Unveiling Franchisee Frustrations and Operational Risks

The platform's poor usability impacted franchise performance and data accuracy. Manually calculated royalties caused frequent delays, inconsistent POS file support led to errors, and limited visibility restricted decision-making across stores.

What We Were Up Against

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While the project began with assumptions about workflow inefficiencies, we validated and reframed the problem through discovery.

Manual entries led to billing errors and distrust

Upload formats varied by POS, causing confusion

Non-technical users struggled with setup

No real-time dashboard for multi-store oversight

We had a product backlog, but not a clear path. We needed to dive deep into the franchisee experience to uncover what really mattered.

Research-Driven Product Direction

Listening to Users, Steering the Product

We ran user surveys, 1:1 interviews, and mapped out POS data workflows to identify the pain. I led the qualitative synthesis and shared opportunity maps with the team to frame our MVP.

Key Findings

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Franchisees wanted real-time insights—not delayed reports

Most users lacked technical knowledge and needed guided experiences

Diverse POS file formats required universal data mapping logic

Manual error handling was overwhelming

How Might We

How might we simplify POS uploads across multiple formats?

How might we provide clear royalty breakdowns across locations?

How might we reduce errors without increasing workload?

How Personas Guided Decisions

Personas like Sarah (Multi-Unit Manager) and James (Solo Owner) directly shaped key design decisions. Sarah prioritized accuracy and needed oversight across locations, which influenced our multi-store dashboard design. James sought simplicity and mobile-first access, guiding our responsive layouts and frictionless upload workflows.

“I just want to upload a file and know what I owe. It shouldn’t be this hard.”

Research uncovered friction, but we had to prioritize what to fix first. Our challenge: balance automation, visibility, and simplicity in a single platform update.

Ideation to MVP Definition

From Insight to MVP

I led design strategy workshops using Crazy 8s and Impact–Effort matrices with PMs and devs. We identified 12 high-value features aligned with user needs and platform constraints.

Key Features

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Automated Royalty Calculations: Predefined logic tailored to franchise rules

POS Upload Validator: Drag-and-drop with error flagging

Multi-Location Dashboard: Central KPIs across stores

Role-Based Access: Manager vs. owner views

Custom Reporting: Downloadable insights by timeframe or store

Guided Walkthroughs: Simplified onboarding for new users

We translated the most valuable features into intuitive, scalable design—balancing clarity, speed, and reusability.

Execution & Validation

Designing for Scale

I led the design process from flow mapping to final prototypes—ensuring each phase aligned with our core product principles of automation, clarity, and scale.

Process

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Wireframes: Mapped user paths for upload, validate, calculate, report

Interactive Prototypes: Tested flows with users to validate clarity

Responsive UI: Supported desktop-first with mobile dashboards

Design System: Created consistent styles and reusable components

Accessibility: Color contrast, readable tables, screen-reader friendly alerts

Selected Screens from Final Design

Below are selected visuals including wireframes and UI designs, showcasing improvements across functionality, layout, accessibility, and design scalability.

Design System Foundations

Color palettes, typography, and accessibility standards unified into a scalable UI system.

Franchise Dashboard Overview

Centralized view of franchise info, rules, caps, and status for better oversight.

Transaction Search Results

Easily locate billing details with filters and a franchise-level summary.

Rule Template Editor

Streamlined rule builder supports granular logic, prefixes, and status toggles.

POS Configuration Module

Organize monthly sales and exceptions with categorized MIS/POS data blocks.

This redesign changed how franchisees manage billing—reducing churn, streamlining reporting, and boosting adoption.

Outcomes & Lessons

Measuring What Mattered

We assessed success not just by cleaner UI, but by measurable improvements in user satisfaction, billing efficiency, and platform adoption.

Business & UX Outcomes

60%

fewer support tickets for billing errors

40%

franchisee satisfaction (NPS)

50%

faster upload-to-calculate time

Takeaway 1

A focused MVP strategy allowed us to simplify complexity, reduce time-to-launch, and gather real-world insights for iteration.

A focused MVP strategy allowed us to simplify complexity, reduce time-to-launch, and gather real-world insights for iteration.

Takeaway 2

I learned how to turn a technical, error-prone process into a system that feels simple, fast, and reliable—without sacrificing flexibility.

I learned how to turn a technical, error-prone process into a system that feels simple, fast, and reliable—without sacrificing flexibility.

Disclaimer

The project displayed here represent ongoing work and concepts developed during my tenure at Covalience. All rights to these projects are owned by Covalience, and the designs are shared here with respect for confidentiality. Please do not share or distribute these materials.

©2025 imkunal | Made with ♥ from Ontario, Canada.

©2025 imkunal | Made with ♥ from Ontario, Canada.

©2025 imkunal | Made with ♥ from Ontario, Canada.