Feature Walls

Turning Missed Traffic into Growth

BUSINESS PROBLEM

Highest-traffic pages, lowest clarity

Users couldn’t understand the product

No team owned the value narrative → conversion gap

CHALLENGES

Fragmented ownership (Growth, MKTG, Eng)

Conflicting goals: persuasion vs. reusability

Outdated content, stale messaging

MY ROLE

Identified unowned space

Secured buy-in from Growth leadership

Led design across teams

Ran prototyping + A/B testing (static, video, interactive)

IMPACT

+22% conversions

+11% cluster upgrades

–11% paid deletions

6 teams adopted pattern → systemization

Business Context

Underleveraged Properties

Feature Walls were MongoDB’s highest-traffic pages — thousands of visits daily — but conversions lagged.

 Users couldn’t tell what MongoDB actually offered.

 Content was outdated, the value unclear, and pricing hidden.


I saw a high-leverage opportunity: clarify value, increase trust, and guide activation.

Alignment

Validating the Project

It all started when I stumbled on an unowned gap in an old growth doc and pitched a test to the Director of Growth.



Hypothesis

Defining Success

Hypothesis

"If we clarify value early, users will engage deeper and convert more often."

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

My Role & Team

A Collaborative Process

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

The narrative

Now let's dive deeper into the context of the problem and why it mattered

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

Reflections

Pricing Calculator

Moderated Card Sort Results

Aligning Execution

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

Feature Overview

Iterating on Concepts

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

Interactive Component

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

Getting Started Guide

Iterating on Concepts

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

Demo Playground

A Research Insight

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

Impact

A/B Test Success

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

Impact

A/B Test Success

From there the hypothesis was: if we clarify value and pricing early, users will engage deeper and convert more often.

I built conviction showing these inconsistencies and competitor teardowns, and earned a pilot to run an A/B test on the Search product feature wall.

Before & After

A New Pattern Emerges

Interactive Component