I'm a product leader who brings clarity to complex product problems—aligning user behavior, design, and monetization.

Across onboarding, monetization, marketplaces, and AI-enabled product systems, I've consistently turned ambiguous product problems into clear direction by aligning user behavior, incentives, and business outcomes.

12+ years across Zillow (StreetEasy), Forma, and Emburse · $50M+ in revenue impact · 85% onboarding adoption · B2B2C, marketplaces, and AI-enabled product systems

Reach me at hello@shradhagadoo.com →

See my latest AI prototype →
Selected Work

Product problems I've solved

01 Design × Behavior

Turning onboarding into a product, not a process

Diagnosed onboarding as a confidence problem—not an efficiency problem—and redesigned a 3–4 month manual process into guided self-serve.

  • 85% adoption in 3 months
  • 50% reduction in onboarding time
  • 90% CSAT
Read case study
02 Monetization × Strategy

Redesigning monetization around user behavior

At StreetEasy, Zillow's NYC rental marketplace, redesigned the rental advertising experience to align agent monetization, consumer relevance, and marketplace trust.

  • $XM per year in projected annual revenue uplift
  • Mid-tier drove ~40% of revenue
  • Increased monetization without reducing supply
Read case study
03 Judgment × Tradeoffs

Could our data beat their models?

Led a $22M ML build-vs-buy decision at Emburse—evaluating whether to train our own receipt parsing models or partner with Google Document AI.

  • $22M strategic outcome · $560K+ immediate new revenue
  • Receipt parsing for 12M users across Emburse's portfolio
  • Architecture foundation for downstream ML automation
Read case study
What I'm Known For

How I show up for a team

Bringing clarity to messy product problems

I take ambiguous, high-friction problems and turn them into intuitive, high-quality product experiences that ship and scale.

Bringing clarity when teams disagree

I move teams forward by making clear, well-reasoned decisions even when data is incomplete and tradeoffs are real.

Designing for behavior, not just usability

I focus on how and why users take action, building products where design directly drives adoption, engagement, and monetization.

Turning ambiguity into direction

I ramp quickly in new domains, absorb complexity, and translate it into clear product direction and execution.

How I Think

A few things I believe about product

Design is not polish—it shapes behavior.

The most important design decisions aren't visual. They're structural: what appears first, what's hidden, what's implied as default. These choices direct user behavior before anyone reads a word.

Most product problems are decision problems.

When a product feels confusing, it's usually because the underlying decision—what we're optimizing for, who we're serving—hasn't been made clearly. Clarity upstream makes everything downstream easier.

Monetization works when value feels earned.

Revenue that comes from coercion or confusion doesn't last. The most durable monetization models are ones where the user understands exactly what they're getting—and agrees it's worth it.

Good product decisions require both judgment and speed.

Waiting for perfect data is its own kind of decision. The skill is knowing when you have enough to move—and being honest about the assumptions you're making when you do.

AI-Assisted Product Experiments

Things I'm building on the side

I build small things to develop sharper product intuition.

AI Prototype

Signal — AI Communication Coach

Problem

Helps ambitious professionals improve strategic communication by analyzing meeting transcripts for clarity, tone, stakeholder signals, and executive presence.

What I learned

Transcript access immediately raises compliance questions—and users wanted audio feedback, not text, which reframed the entire output model.

AI Prototype

Poko Pantry — AI Hosting & Pantry Assistant

Problem

Turns random pantry ingredients into thoughtful dinner party menus, cooking timelines, and shopping plans through AI-assisted hosting workflows.

What I learned

Most functionality didn't need an LLM—used rule-based logic for the heavy lifting and reserved AI only for personalization. V2 moves to an agentic workflow.

Selected Additional Work

More of what I've worked on

About

I'm a product leader with over a decade of experience building and scaling products across consumer, SaaS, and marketplace businesses.

My work focuses on turning complex product problems into intuitive, high-impact experiences—whether that's redesigning onboarding to drive adoption, shaping monetization systems that align with user behavior, or making high-stakes product decisions under ambiguity.

Outside of work, I enjoy creating things—hosting food pop-ups, painting folk art, and building small AI prototypes around everyday use cases.

Outside of Work

A few other things

Creativity has remained a constant through different stages of my life—only the medium has changed. From hosting food experiences and painting folk art to designing digital posters and building AI-assisted product prototypes, I'm drawn to creating experiences that feel thoughtful, expressive, and intentional.

Food, Hosting & Cafe Mahogany

Through Cafe Mahogany, I've explored food as a form of storytelling and experience design—thinking deeply about hospitality, atmosphere, pacing, and how people gather.

Painting Folk Art

I enjoy painting folk art and studying how color, texture, and composition influence emotion and visual rhythm. This creative practice has shaped my appreciation for detail, restraint, and craft within product experiences.

Digital Posters & Visual Storytelling

I enjoy designing digital posters and visual compositions using tools like Canva—exploring typography, layout, and visual hierarchy as forms of communication and storytelling.

Something new, soon

A space held open for the next creative pursuit.