Product Analysis
Work
Leading up to the MVP launch, I worked across product and strategy tasks. I contributed to product research, feature ideation, marketing insights, and GTM planning. This helped shape a more user-aligned and market-ready product.
Product Analysis
I conducted a detailed, frame-by-frame audit of the onboarding flow, content creation process, chatbot, and settings interface—identifying layout issues, design flaws, bugs, and usability roadblocks throughout.
Frames from the analysis ⬇️
I conducted a detailed, frame-by-frame audit of the onboarding flow, content creation process, chatbot, and settings interface—identifying layout issues, design flaws, bugs, and usability roadblocks throughout.
AIWorkSquad
May - August 2025
My first experience in industry as a PM intern for AIWorkSquad on the design team, helping launch the MVP to market.
Project Context
Description
Goals
AIWorkSquad is an AI platform that allows businesses with limited resources to automate parts of their marketing operations. The main features include digital content creation like custom blog posts, social media posts and campaign planning.
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Refine the features on the MVP
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Develop B2B GTM strategy
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Launch to market and collect initial feedback
Problem Statement
Small businesses and solo marketers need a simple, AI-powered tool to create and automate content without the complexity of traditional marketing platforms.
Overview
Timeline
Role
3 months
Product Management Intern
Type
Early-stage startup
Onboarding Flow Redesign
Audited AiWorkSquad's onboarding flow and identified critical UX issues. Redesigned the complete experience in Figma with streamlined forms, clear AI content review interfaces, and progressive step-by-step flow.
Before
Initial Problems
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Missing key information- Should extract more strategic info like business model, industry vertical, value proposition rather than basic descriptions
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No clear editing interface to enhance AI-generated content
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Needs more context about AI-generated descriptions. E.g “Based on your URL, we found…”
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Poor visual hierarchy- text is the same weight and size. Hard to distinguish between labels, content and instructions.
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Confusing sentence structures
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Wasted screen space
Lo-Fi Improvements
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Better visual design- clear labels and input fields
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Clear edit buttons
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Confidence indicators
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Suggested refinement to improve transparency
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Improved wording and expanded screen space
After
Reflection
My First Experience on an AI Product Team
My first experience diving into the tech world as a product manager on the design team of an AI startup was everything I had hoped for. I loved discussing user challenges and exploring how strategically designed features could meet people where they are. It confirmed for me that product management is not just a role I want to pursue, it is where my curiosity, creativity, and drive come together.
Understanding the User Matters
I saw firsthand how differently designers and developers approach problems. Designers often think in the clouds, having elegant solutions that may not be technically feasible, while developers ground those ideas in reality. Learning to balance vision with feasibility taught me that great products come from pushing creativity while respecting constraints.
Leading Through Ambiguity
One of the biggest lessons I learned is that a good idea is just the starting point, but what matters most is whether it delivers real value to users. Our team cycled through several exciting concepts, but the ones that stuck were those that solved tangible user pain points. It was a reminder that product management is not about chasing shiny features, but about grounding decisions in impact.