Designing a Solution Discovery Experience for Google Cloud

B2B

B2B

AI-Powered Workflow

AI-Powered Workflow

Solutions & Product

Solutions & Product

Desktop

Desktop

Google Cloud's website is the gateway to its entire cloud product suite, attracting 10M+ business users. However, small and medium-sized businesses (SMBs) struggle to find relevant solutions for their use cases, resulting in low conversions. I worked with the team to redesign the solution discovery experience.

Timeline

Sep 2024 - Jan 2025

Owned

Led technical discovery, workflow mapping, solution design, and demo narrative.

Team

Cross-functional team across product, design, and research.

Impact (Directional)

Majority SMBs showed Conversion Intent

~80% ↓ Solution Finding Time

~2–3x Product Engagement

Earned Leadership Buy-In

TL;DR

Problem

Blank prompt -> low-quality recommendations

Approach

Structured discovery + guided intake

-> decision-ready outputs

Structured discovery + guided intake -> decision-ready outputs

Structured discovery + guided intake -> decision-ready outputs

Result

Faster evaluation + higher intent/engagement

Timeline

Sep 2024 -

Jan 2025

My Role

Solution Designer

Led technical discovery, workflow mapping, and the demo.

Team

Cross-functional team across product, design, and research.

Impact

Majority SMBs showed Conversion Intent

~80% ↓ Solution Finding Time

~2–3x Product Engagement

Earned Leadership Buy-In

Timeline

Sep 2024 - Jan 2025

My Role

Solution Designer

Led technical discovery, workflow mapping, and the demo.

Team

Cross-functional team across product, design, and research.

Impact

Majority SMBs showed Conversion Intent

~80% ↓ Solution Finding Time

~2–3x Product Engagement

Earned Leadership Buy-In

TL;DR

Problem

Blank prompt -> low-quality recommendations

Approach

Structured discovery + guided intake

-> decision-ready outputs

Result

Faster evaluation + higher intent/engagement

TL;DR

Problem

Blank prompt -> low-quality recommendations

Approach

Structured discovery + guided intake

-> decision-ready outputs

Result

Faster evaluation + higher intent/engagement

Full case study available upon request

Full case study available request

Solution 1: An AI solution recommendation engine to help SMBs efficiently find relevant cloud solutions.

Solution 2: A context-aware AI assistant to support SMBs throughout their website journey

Impact

The solution was endorsed by Google leadership

The solution was endorsed by Google leadership

Directional impact (sanitized)

Directional impact (sanitized)

Directional impact (sanitized)

Directional impact (sanitized)

Directional impact (sanitized)

Majority SMBs

Conversion Intent
Conversion Intent

~2–3x

Product Engagement
Product Engagement

~80%+ ↓

Solution Finding Time
Solution Finding Time

I led the final pitch to the Google Cloud team and received strong, positive feedback.

👏 🥰

“The solution is also very strategic. I can see how it could help us scale the experience, not just for business users but for anyone looking to explore how our cloud solutions fit their specific use case, all without adding complexity.”


Google Cloud Stakeholder (anonymized)

“The solution is also very strategic. I can see how it could help us scale the experience, not just for business users but for anyone looking to explore how our cloud solutions fit their specific use case, all without adding complexity.”


Google Cloud Stakeholder (anonymized)

Earned Leadership Buy-In
Earned Leadership Buy-In

After the project was complete, I was asked by the Google Cloud team to create follow-up materials for Google’s leadership. This included project documentation of discovery insights, solution design rationale, and high-fidelity demo.

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