Hi, I'm Sneha Gandhi

Product Manager

Driven by curiosity and empathy, I turn complexity into clarity through data, design, and teamwork. Over the past 6+ years, I've led cross-functional teams, optimized onboarding journeys, and delivered products that balance business outcomes with user delight. I believe meaningful impact starts with understanding people and executing with purpose.

About Me

Building products that matter, backed by data and driven by user needs

My Product Philosophy

I believe great products begin with empathy and evolve through understanding. Every decision should serve a real human need and create measurable impact. I build with curiosity, validate with data, and iterate with heart because meaningful products aren't just used, they're felt.

Throughout my career, I've focused on simplifying complex experiences, driving customer growth, and improving onboarding flows that truly convert. I love working in spaces where data meets intuition—where you can test, learn, and adapt quickly. Whether I'm collaborating with design on user flows or aligning roadmaps with engineering, I thrive in the messy middle where clarity is created and impact is measured.

Career Highlights

  • ▸ Increased upsell conversions by 20% through iterative experimentation and user-driven redesigns
  • ▸ Increased user retention by 40% through data-driven feature optimization
  • ▸ Collaborated with design, engineering, and analytics across a 15+ person cross-functional team to deliver and iterate at speed
  • ▸ Brought structure to prioritization using RICE and MoSCoW, ensuring focus on the highest-value initiatives

6+ Years of Product Ownership and Execution

From discovery to delivery, transforming ideas into products that perform

Turning Insights into Outcomes

Using data-driven insights to refine journeys and deliver measurable impact

Cross-Functional Leadership

Partnering across design, tech, and business teams to deliver meaningful outcomes at scale

User-Centric Approach

Transforming complex user journeys into simple, intuitive, and meaningful experiences that drive growth

Skills & Tools

A comprehensive toolkit for delivering exceptional product outcomes

Core Product Skills

Product Strategy & Outcome-Driven Roadmapping
User Research, Data Analysis & Experimentation
Requirements Documentation & Prioritization Frameworks
Stakeholder Alignment & Strategic Communication
Agile & Cross-Functional Delivery
Go-to-Market Planning & Post-Launch Optimization

Technical Skills

Looker & Adobe Analytics
Figma for design collaboration
A/B Testing & Experimentation
Agile delivery using Azure DevOps

Tools & Platforms

Azure DevOps Figma Miro Adobe Analytics Teams Looker UserTesting Medallia

Featured Projects

Real-world product challenges solved with strategic thinking and execution excellence

Launching the Dynamic Product Selector

H&R Block • DIY Onboarding

Led the introduction of a dynamic product selector to improve early-funnel decision-making and reduce drop-offs during SKU selection for DIY customers.

Challenge

64% of users were dropping off during the product selector and SKU offer screens, significantly stalling funnel progression and limiting monetization opportunities at the top of the journey.

Solution Approach

  • • Evaluated a Dynamic Product Selector (DPS) against the existing 9-tile experience using retention and funnel behavior data
  • • Designed the selector to more accurately guide users to relevant SKUs early in the flow
  • • Measured impact using retention-to-start, offer visibility, and paid attachment metrics

Business Impact

+100%
TPR attachment rate
Higher
Paid purchases including Plus
Improved
Early-funnel monetization
Improved
User flow without loss in retention to start
User Journey Optimization Experimentation and Validation Behavioral Analytics Customer Centered Design

Optimizing Upsell Recommendations

H&R Block • DIY

Designed and tested recommendation-driven upsell strategies within the product selector to improve attach rates and revenue, with a focus on post-selection nudges for Free users and prior clients.

Challenge

A significant 19% of users exited the product selector after landing on the Free SKU, resulting in missed upsell opportunities and suboptimal monetization.

Solution Approach

  • • Designed and tested a recommendation logic layer ('recommendation hat') to surface higher-value SKUs (TPR and Plus) after initial product selection
  • • Ran controlled A/B experiments to compare upsell combinations: TPR + Plus vs Free + Plus for prior clients
  • • Evaluated performance across pricing phases (Early vs Late) to understand revenue sensitivity and long-tail effects

Business Impact

+7%
Overall revenue lift
+0.7 ppt
TPR attach rate increase
Maintained Revenue
Free + Plus upsell for prior clients
+20%
Long-tail revenue increase
A/B Testing Funnel Optimization Revenue Optimization Recommendation Logic Pricing Strategy

Optimizing Plus Upgrade Through CTA Experimentation

H&R Block • DIY Tax Platform

Improved upgrade conversion from the Free product by testing small but high-impact UI and decision-making changes, with a focus on monetization and user attention.

Challenge

Users selecting the Free product showed low conversion to Plus, indicating unclear value perception and weak upgrade prompts during a critical decision moment.

Solution Approach

  • • Designed and ran A/B tests to isolate visual and messaging effects
  • • Simplified the Free experience to reduce distraction
  • • Visually emphasized the Plus upgrade using a differentiated CTA to guide attention

Business Impact

+0.8 ppt
Plus take rate lift
Validated
Visual hierarchy influences upgrade behavior
Informed
Future upgrade and monetization design decisions
A/B Testing Conversion Optimization Monetization Strategy UI Decision-Making Hypothesis Validation

Clarifying Filing Options to Better Capture Switchers

H&R Block • DIY Tax Platform

Improved user self-identification by clarifying filing options, enabling more accurate segmentation and better downstream product decisions.

Challenge

Users switching from other tax providers were not clearly identifying themselves in the flow, leading to misclassification and reduced personalization opportunities.

Solution Approach

  • • Refined copy and structure on the filing history step
  • • Tested clearer language to help users confidently select the option that matched their past behavior
  • • Evaluated impact through controlled experimentation

Business Impact

+2 ppt
'Filed somewhere else' selections
-4 ppt
Incorrect first-time filer selections
Improved
User segmentation accuracy
User Journey Mapping Experimentation Behavioral Insights Funnel Clarity UX Copy Optimization

Let's Connect

I'm always interested in discussing product strategy, user experience, and innovative solutions

Email Me LinkedIn