01 THE PROBLEM

Customers struggled to understand their usage which led to cart abandonment and increased support tickets.

02 THE RESULTS

127

Self-serve plan upgrades occurred over a 40 day period after release.

3

Plan upgrades (on average) per day over 40 day period after release.

8

Plan upgrades / month from Startup to Professional (1 site plan to a 3 site plan) indicating stickier customers.

03 THE SOLUTION

Intentional UI created trust and transparency

Simple usage meters eliminated user friction and ambiguity. Highly-intentioned users were able to make quicker decisions based on seeing 30-day usage data.

Replacing a listicle with a feature table

For more technical users, seeing specs like server type provided transparency. Previously the information was only available via support or sales inquiry.

Want a look behind the scenes?

View the designer's cut and see the process behind the work.

background pattern dot

By changing this one UI element the narrative shifted from aggressive upselling to data-driven transparency

Overview

Simple usage meters visualized the customer's 30-day usage to help them make informed decisions.

This data transparency resulted in 127 plan upgrades over a 40-day period (average 3 per day).

Project details

Company

WP Engine

Leading WordPress hosting providing fast, secure, and scalable solutions

Role

Designer + Research

End-to-end design, Prototyping, Interaction design, User interviews

Team and Stakeholders

10+ People

1 Product manager, 8 Developers, 1 Engineering manager, 1 Data analyst, 1 UXR

Timeline

4 Months

Dec 2023 – Apr 2024

Tools

Various

Figma, Zoom, Looker Studio (track conversions), Segment (customer tracking), Miro, Pendo (user journey).

Type

Desktop

Redesign and flow enhancement focused on data-transparency and migration to a self-serve platform.

The problem

Customers struggle to understand the resource consumption of their current plan causing decision-making and plan modifications to feel confusing and incomplete.

Customers struggle to understand the resource consumption of their current plan causing decision-making and plan modifications to feel confusing and incomplete.

Research

Analyzing traffic patterns signaled intention, while user interviews revealed what they were searching for

Analyzing traffic patterns signaled intention, while user interviews revealed what they were searching for

  • Users that accessed the Plans page via global navigation had the highest conversion probability. Making it a key surface for cross-selling and upgrades.

  • Customers that viewed the following pages: Plans, Usage, and Billing revealed that they were searching for usage information.

Pain points for the existing plans page

Traditional plans page provided little value to 6k monthly visitors

The current page was designed for browsing, not plan management. It lacked usage data, resulting in users seeing an incomplete picture of their plan.

Users manually compare multiple tabs while others navigate away

Highly engaged users (looking to upgrade their plan) would open multiple browser tabs to compare usage and feature lists.

For the less-engaged users, the impact and motivation were speaking volumes

Generic plan names, lack of data was enough friction for 1,500 to leave the page immediately. And 240 ultimately cancelled their plan.

Explorations

Explorations

See the messy process

See the messy process

Abstraction of their 30-day usage

Research indicates their usage is highly relevant to decision making. Providing an abstraction of their core plan entitlements can simplify their multi-tab workflow.

Users manually compare the marketing page to compare feature sets

I should spend some time talking about the feature table that we incorporated on the page.

Photo by Drigo Diniz

To promote customer trust we provide recommendations purely based on their usage

Gone are the days of upsells and plan recommendations and solely based on their 30-day usage.

Solution

Intentional UI created trust and transparency

Simple usage meters eliminated user friction and ambiguity. Highly-intentioned users were able to make quicker decisions based on seeing 30-day usage data.

Replacing a listicle with a feature table for technical specs

For more technical users, seeing specs like server type provided transparency. Previously only available via the marketing website or support ticket.

Results

The work achieved significant increases across core purchase and upgrade funnel metrics, particularly by improving conversion rates and increasing the percentage of sales that are self-serve.

127

Self-serve plan upgrades occurred over a 40 day period after release.

Self-serve upgrades over a 40 day period after release.

3

Plan upgrades (on average) per day over 40 day period after release.

Plan upgrades (on average) per day.

8

Plan upgrades / month from Startup to Professional (1 site plan to a 3 site plan) indicating stickier customers.

Plan upgrades / month from 1 site plan to a 3 site.