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4x paid conversion: Optimizing the end-to-end first-time user journey

Work project

Consumer

Fintech

Redesign

Shipped  

Context

The product helps public company employees sell their stock compensation smarter and keep more of what they earn

Trusted by employees from Microsoft, Tesla, Amazon, Meta, Oracle, Adobe, and more.

Project overview

I led a redesign of a 30-step first-time user journey that drove a 4x increase in paid users

My contributions:
1. Conducted foundational user research to identify pain points and define key user segments to align priorities
3. Developed 13 growth hypotheses
4. Redesigned the end-to-end user journey including a 1st-time setup flow and multiple dashboards to track tasks and financial data.
5. Led evaluative research sessions and iterated on designs based on user feedback
6. Partnered with design colleagues on visual identity and design system overhaul
7. Collaborated closely with engineering throughout implementation and QA process

My role
Lead product designer

Collaboration
1 product manager, 1 brand designer, 4 engineers, 1 financial analyst

Project time
2025, 5 months

Status
Shipped

Design overview

End-to-end 1st-time user journey

User journey 1/3

Onboarding quiz: get an RSU plan

Problem: Users take a quiz to get a personalized RSU selling strategy, but significant drop-off at signup and throughout the quiz limited conversion to paying customers.

Solution: 1. Repositioned signup to the quiz midpoint using the personalized plan as a hook; 2. simplified financial concepts; 3. shifted focus from already-vested RSUs (high commitment) to upcoming vests (lower pressure). Key screens:

01. Quiz questions

02. The hook before the signup wall

03. Sign up wall

04. Recommending a plan for upcoming shares

05. Extending plan to already-owned shares (optional)

06. Loading the dashboard

Outcomes of onboarding redesign

*Absolute numbers omitted per NDA.
*Yes, the numbers seem big, but it's normal for a startup :)
* I collaborated with a design colleague on this onboarding redesign work. All other research and design work showcased below is my own.

2X

Sign up rate

Created an account
at the quiz midpoint

8X

Quiz completion rate

Finished the quiz
after signing up

User journey 2/3

Complete setup to activate the plan

Problem: While the quiz complete rate was lifted, users dropped off during final activation steps: completing profile, connecting RSU account, and initiating trades.

Solution: 1. Designed a new projection dashboard to help users with their financial planning and execution timelines to build confidence; 2. created an urgency-driven homepage; 3. simplified the setup process. Key screens:

01

Urgency-driven home page with an entry point to the plan projection page

02

Projection dashboard focusing on financial planning and plan execution visualization

03

Redesigned plan setup page

04

Simplified account setup process

Outcomes of activation redesign

4X

Activation rate

Connected accounts and activated their plans

4X

1st trade & paid conversion

User journey 3/3

1st trade & paid conversion

When users started trading with us, annual fee will be deducted from their account, marking paid conversion. I extended the new design elements to post-activation for clearer plan execution tracking with the goal to reduce post activation cancellation and support efforts.

Highlighting 2 challenges

Skip to bottom

Challenge 1. Strategy

Clearing the fog

The problem

Users dropped off from signup through final paid conversion

Despite strong initial interest, conversion was underperforming, limiting growth. We were seeing drop-offs at every stage—from signup through final plan adoption and payment.

Research process

Taking a holistic approach to research

Since conversion builds phase-by-phase and previous attempts had failed without documented understanding of root causes, I conducted holistic research to uncover why users were abandoning at each stage.

Method 1

Analyzed analytics data on Amplitude to identify specific drop-off points in the funnel

Output 1

Pinpointed high-friction moments to investigate through user interviews/testing

Method 2

Tested end-to-end 1st-time user journey with 12 participants

Output 2

Defined user segments and mapped their unique pain points

Defining user segments

Three user segments with distinct barriers to conversion

Initially, there were lots of different ideas on what we should build. After identifying three distinct segments, I was able to identify their conversion viability and strategically prioritize ideas.

High-intent seller

Characteristics
- Already selling or planning to sell
- Less optimistic about company stock price future growth
- Need cash for a specific goal

Problem
Lack clarity on value and execution process to make decision now

Mid-intent seller

Characteristics
- Stock performing well
- Believe in diversification and don't want to hold too much in one stock
- Want to reduce risk, but not urgently

Problem:
Decision paralysis around how much to sell and when

Low-intent seller

Characteristics
- Stock performing well
- Don't understand or believe in diversification
- No immediate reason to sell

Problem:
Unconvinced of the need to sell

Prioritizating segments

Focusing on high to mid intent users

I advocated for prioritizing high and mid-intent users first. Low-intent users required convincing on why to sell, needing a more complex journey. By focusing on the first two segments, we could make focused efforts, deliver quick wins, and validate our approach before tackling the more challenging low-intent segment.

High-intent seller

Mid-intent seller

Roadmap

13 growth hypotheses mapped to funnel stages

Based on specific pain points discovered along the user journey, I collaborated with a product manager to generate 10+ hypotheses mapped to each funnel stage. I addressed all 12 hypotheses in phases, starting with onboarding to maximize early funnel conversion, then activation, and finally post-activation optimization.

Onboarding

1. Redesigning marketing page to deliver clearer value props
2. Move signup wall half way through onboarding quiz
3. Remove confusing financial concepts from the quiz
4. Provide personalized selling amount recommendations
5. Clearly introducing the recommended plan with an overview and skippable walkthrough
6. Lower commitment by making selling already vested shares optional
7. Surfacing reinvestment vs cash out options upfront

Activation

8. Create urgency for action
9. Projecting plan execution with concrete dollar amounts to help with financial planning
10. Visualize automation to reinforce confidence
11. Simplify reinvestment portfolio selection
12. Simplify setup process

Post-activation

13. Clarify automation process with clear progress tracking

Challenge 2. design

Designing for activation

Activation problem

Solving the trickiest drop-off: Getting users to commit

Previous experience: after users completed onboarding quiz, they would arrive at the home page and a good amount of users would visit the plan page again to check their plan settings. To activate their plan, they needed to provide sensitive personal information—SSN, address, and financial details—and connect their brokerage account. Despite the strong onboarding quiz completion rate, most users dropped off right after.

Initial hypotheses

The selling plan is too abstract & high commitment

What did they need to feel confident enough to take this final, high-stakes step of completing setup?After reviewing the previous designs, I identified two primary hypotheses for the drop-offs:

1. Abstract financial target

"Maintain X% of networth in RSUs" didn't tell users when or how much we'd sell, creating uncertainty about execution.

2. High commitment barrier

Applying the plan to already-owned shares (potentially significant value) felt risky. Starting with upcoming vests would lower commitment and build trust incrementally.

Design solution 1

Plan settings: Giving users a concrete way to adjust their plan

Split vested vs. upcoming sharesUsers can start with future compensation without touching shares they already own, reducing commitment pressure and matching their mental model.Concrete percentages instead of abstract targets"Sell 40%" is immediately clear, while "maintain 5% concentration" requires financial expertise.Visual representation of the splitDonut charts make the sell/hold ratio instantly graspable.

BEFORE

AFTER

Evaluation

Testing revealed plan settings alone wasn't enough

Based on 5 additional user tests, I validated that splitting vested/upcoming shares reduced commitment pressure. However, users still found the plan too abstract and needed more transparency about execution.

1. Trust gap in automation

Users couldn't trust what they couldn't see. Without transparency into when, how, and whether the product would execute trades as promised, they weren't willing to hand over their SSN and activate their account.

Will it actually work like it said would? Will it sell my upcoming vests over 12 weeks?

What happens next? Is there a schedule of when the selling will happen?

2. Abstract financial planning

Users needed control of their finances, but the product focused solely on abstract settings without showing what their investments would actually look like. That uncertainty would stop them from moving forward.

I need to know the actual dollar amounts—how much I'm selling versus how much I'm investing. That's what matters for my financial planning.

If I understood exactly how much money I'm putting in and what's happening with it, I'd feel way more comfortable using this.

Design solution 2

Plan projection dashboard: Visualizing the plan execution over time

The projection dashboard solves both pain points by showing users exactly what would happen with their money before committing. Since users haven't connected their accounts yet, the dashboard displays projected portfolio estimates based on their plan settings. Final design and rationales:

Design solution 2 / Iterations

Iterating based on user & cross-functional feedback

Before arriving at the final design, I tested designs with 5 participants and sought engineering and domain expert feedback.

Before. Tax estimate in overview

User feedback: The numbers don't add up to the total assets, causing confusion.

After. A separate tax estimate section

Updates: Create a separate tax estimate section

Before. Highlight taxable gains

Engineering feedback: The realized gain/loss and detailed breakdown becomes confusing when projecting negative values, obscuring the actual benefit.

After. Highlight reduction in taxable gains

Updates: Simplified to show net tax savings, making the optimization benefit immediately clear regardless of whether gains or losses are projected.

Before. Unclear page purpose

Users were confused about whether they were viewing a projection or their actual plan, reducing confidence in the information presented.

After. Establish context with plan overview hero

Relocated the plan summary to the top to immediately clarify that users are viewing a projection based on the automated optimization strategy.

Design solution 2 / Discoverability

A new home page that funnels traffic to plan projection page

The previous home page focused solely on pushing users to complete setup. I redesigned it to remain action-oriented while prominently surfacing the plan projection.

BEFORE

AFTER

Outcomes

The redesign delivered significant improvements

I redesigned the plan experience to provide transparency and control—showing users what would happen (projection dashboard) and giving them concrete ways to adjust it (plan settings). These changes led to:

4X

Activation rate

Connected accounts and activated plan

4X

1st trade & paid conversion

1st trade executed and annual fee paid

Other deliverables

Responsive design

Key takeaways

End-to-end thinking drives results

By expanding research beyond my initial scope, I identified systemic issues across the journey rather than solving activation in isolation.

Designing for financial complexity

Navigated the intersection of financial regulations, technical limitations, and user psychology. Translating complex financial concepts into transparent and confidence-building experiences takes deep domain understanding.

Intentional information disclosure across user journey

Showed users exactly what they needed to commit—projected outcomes and execution timelines—without overwhelming them with every detail upfront. Too much transparency can paralyze rather than empower.

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