PROJECT OVERVIEW
GrantSparrow is an AI-powered grant management platform designed to help organizations discover funding opportunities, generate stronger grant responses, and manage applications from a single workspace.
The platform combines a global grant marketplace with AI-assisted application generation, eligibility matching, reviewer collaboration, and application tracking
What is the product?
A centralized platform that helps users find grants, determine eligibility, generate responses, collaborate with reviewers, and manage submissions.
What problem does it solve?
Grant applications are often time-consuming, repetitive, and difficult to manage across multiple funding opportunities.
Why was it important?
Many businesses and nonprofits leave funding opportunities untapped because they lack the time, expertise, or resources required to complete applications consistently.
THE CHALLENGE
The grant application process is fragmented and inefficient.
Users were forced to:
Search across multiple websites for opportunities
Manually determine eligibility
Repeatedly answer similar questions
Track deadlines using spreadsheets
Coordinate information across multiple stakeholders
Hire expensive grant consultants
For agencies managing multiple clients, the problem became even more complex.
Key user pain points included:
Application fatigue
Writer's block
Missed submission deadlines
Lack of visibility into grant pipelines
Repetitive data entry
Difficulty reusing previous applications
The challenge was to create a unified system that could simplify grant discovery, qualification, writing, collaboration, and submission without overwhelming users.
IMPACT
Outcome & Impact
GrantSparrow transformed a traditionally fragmented and manual grant application process into a structured, AI-assisted workflow that helps users discover, qualify for, and apply to funding opportunities more efficiently.
Through the product's marketplace, eligibility engine, AI answer generation, and collaboration workflows, users can spend less time on repetitive application tasks and focus more on securing funding.
Key Contributions
Designed AI-powered grant discovery and matching workflows
Simplified complex grant application journeys into repeatable processes
Created reusable answer-generation systems powered by business context
Built scalable workflows for founders, nonprofits, agencies, and reviewers
Established a design system supporting multiple product modules
Reduced application friction through automation and progressive onboarding
Designed infrastructure for grant tracking, reviewer collaboration, and application management
One Platform
Discovery, qualify, manage, collaborate and submit grants
20+
Product Workflows Designed
5+
User Types Supported
Applicants, Agencies, Collaborators, Reviewers, Administrators
AI-Assisted
Throughout the Experience
Integrated into matching, qualification, content generation, recommendations, and application workflows.
4
Core Product Ecosystems
Grant Discovery, Application Management, Collaboration & Administration
End-to-End
Application Lifecycle
From grant discovery through submission and funding tracking
STRATEGY & PRODUCT THINKING
Rather than designing GrantSparrow as a simple grant database, I positioned the platform as a complete grant operating system. The product strategy centered around reducing friction throughout the application lifecycle.
Key product decisions included:
Personalized Eligibility Matching
Instead of requiring users to manually evaluate opportunities, the system calculates eligibility based on business and founder data.
AI-Powered Response Generation
The platform leverages uploaded business documents, previous applications, and company information to generate contextual answers.
Grant Marketplace
A searchable marketplace enables users to discover opportunities and instantly understand eligibility potential.
Collaboration Layer
Multiple stakeholders can contribute to applications, leave comments, and review responses.
Application Intelligence
The system tracks wins, losses, funding secured, deadlines, and application status.
Auto-Apply Workflow
Highly matched grants can be automatically prepared and submitted, enabling users to apply to significantly more grants than manual workflows allow.
INFORMATION ARCHITECTURE / SYSTEMS
The platform consists of four primary ecosystems.
1. Grant Discovery
Marketplace
Search
Filters
Grant Details
Eligibility Matching
2. Application Management
Applications Dashboard
AI Answer Generation
Draft Management
Submission Tracking
3. Business Intelligence
Biodata
Business Profiles
Supporting Documents
Previous Applications
4. Collaboration & Review
Collaborators
Reviewer Workflow
Commenting System
Attribution Tracking
High-Level User Flow
Complete Biodata
→
Receive Grant Matches
→
Browse Marketplace
→
Select Grant
→
Generate Responses
→
Review & Collaborate
→
Submit Application
→
Track Results
KEY FEATURES SECTION
The platform consists of four primary ecosystems.
AI Eligibility Matching
The platform analyzes user biodata, company information, industry, geography, and business stage to estimate eligibility.
Impact
Users immediately understand where to focus their efforts instead of evaluating grants manually.
Grant Marketplace
A centralized marketplace allowing users to discover grants using filters such as:
Funding Amount
Industry
Geography
Business Stage
Grant Type
Impact
Reduced time spent searching across fragmented grant sources.
AI Grant Writer
The system generates tailored responses using uploaded business information and previous applications.
Impact
Reduced repetitive writing and accelerated application completion.
Auto Apply
Users can enable automatic preparation and submission for grants that exceed predefined eligibility thresholds.
Impact
Allows users to apply for substantially more opportunities without increasing workload.
Multi-Company Management
Users can create and manage multiple businesses within a single account.
Impact
Supports founders, consultants, and agencies managing multiple entities.
Reviewer Collaboration
Applications can be reviewed by internal or external experts using commenting workflows.
Impact
Improves application quality before submission.
Attribution System
Every AI-generated response can be traced back to its original source document.
Impact
Increases trust, transparency, and answer accuracy.
Win Tracking Dashboard
Tracks:
Applications Submitted
Applications Won
Applications Lost
Total Funding Secured
Impact
Provides visibility into funding performance over time.
DESIGN SYSTEM SECTION
To support a growing ecosystem of dashboards, workflows, and admin tools, I developed a scalable design system.t
Color palette
Nav Bar
Logo
title for dashboard
Dashboard card
button
Tags
Input
PRODUCT WALKTHROUGHS
Marketplace Experience
Marketplace Experience
REFLECTION
What I Learned:
Building GrantSparrow reinforced the importance of designing systems rather than isolated screens.
As the product expanded from a grant-writing assistant into a complete funding platform, the complexity shifted from interface design to workflow orchestration.
I learned that scalable products require strong foundations in information architecture, reusable design patterns, and clear system logic. Features such as grant discovery, eligibility matching, reviewer collaboration, and AI-assisted content generation needed to work together as a cohesive ecosystem rather than standalone experiences.
The project also highlighted the importance of balancing automation with user control. While AI can significantly reduce effort, users still need transparency, confidence, and ownership over the information being submitted on their behalf.
The most valuable takeaway was learning how to design for interconnected workflows across multiple user types—including applicants, agencies, reviewers, and administrators—while maintaining a simple and approachable user experience.
