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TL;DR Design SystemsGrowth DesignA/B TestingCross-Functional Leadership

Scaling Up the Utility App Matrix

A standardized growth design framework that increased start trial rates by 22% across a portfolio of 15+ utility apps.

The Problem

The team needed to rapidly scale our utility app matrix, but a lean team of 3 designers managing 15+ apps created an unsustainable bottleneck. Also, without a systemic way to share successful design patterns, we were constantly reinventing the wheel instead of compounding our wins.

The Result

20%

Increase in the overall start trial rate across the board

With 2+ more utility apps shipped per sprint cycle

My Role

Lead Product Designer

Timeline

Q3 2024 – Q1 2025

Team

Design
Engineering
PM
User Acquisition
Data

Company

Eightpoint

The Solution

Final high-fidelity design

Scaling Up the Utility App Matrix — final solution

The growth framework in action across the utility portfolio


Deep dives

The Constraint

The business needed to rapidly scale the portfolio, but we were bottlenecked. Every launch needed to:

  • Be supported by a lean design team without causing burnout.
  • Overcome siloed knowledge where we couldn’t leverage cross-app learning or avoid repeated mistakes.
  • Align stakeholders across 5 distinct teams who had varying priorities.
  • Maintain or increase baseline start-trial conversions without adding overhead.

Instead of designing screens ad-hoc, I shifted the team to a Standardized Design Framework. I spearheaded alignment with the cross-functional teams to create a shared repository for A/B test wins and losses.

Having a standardized growth design framework could help solve the pain points since not only could it solve the immediate resource constraint but also builds long-term organizational capability for faster, more effective app development.

Standardized Design Framework

Activation - Build a 3-screen Onboarding Framework As the Firm Foundation

I first connected with PM and discussed the goals for activation: Having a standardized onboarding flow

  • To reduce the time spent on building up new Onboarding flows for new apps.
  • Could served as the firm foundation for the team to start testing on different elements based on each App’s key features and working scenarios.

To reach the goals, I designed and rigorously A/B tested a standardized 3-screen onboarding sequence (Splash -> Social Proof -> Premium) .

Psychology-Driven Design

After referring psycology principles and doing some exploration. I integrated specific psychological elements, including Social Proof (showcasing positive user reviews to reinforce value), Leading Lines (to visually guide users to desired actions), and Targeted CTA Headlines.

Social Proof

Social Proof

Showcasing real user reviews on the splash screen to reinforce perceived value before the ask.

Leading Lines

Leading Lines

Visual composition guides the eye toward the primary CTA, reducing hesitation at decision points.

Targeted CTA Headlines

Targeted CTA Headlines

Headlines matched to the user's current job-to-be-done, increasing headline-to-tap conversion.

Data-Backed Decisions

After design, I conducted several rounds of A/B Testing (also with previous testings) to validate assumptions and make design decisions in the following:

  • Length of the onboarding
  • What elements work the best in terms of improving start trial rate

Through multiple A/B tests, I proved that adding Social Proof , “Sandwiching” benefits in bullet points , and using a 3-page flow with a splash screen (versus a 2-page flow) yielded the most optimal start trial rates.

AB Testing

The Deliverable

This was packaged into a reusable UI Kit within our design system, providing a solid foundation for scalability.

OB Framework

Monetization via Labor-Perception Bias

After discussing with UA and PM, we aligned on the goals for Monetization: Identifying scalable solutions to minimize upgrading friction

Then I analyzed our premium flows through the lens of psychology and decided to utilize Labor-Perception Bias (users become invested in their progress after spending time on a task) to improve monetization.

The Application

Using our AI Math Solver app as an example, instead of hitting users with a paywall immediately, we allowed them to deeply engage by scanning a problem and waiting for the “Analyzing” state. We pitched the premium upgrade exactly at the “Solution Found!” moment to boost upgrade motivation.

The Execution

Using Animation + Tactile Feedback to reinforce the motivation

I collaborated with motion designers to create loading animations with visual and tactile feedback to reinforce the user’s motivation to upgrade before the pitch. This framework boosted the In-App Start Trial Rate from 6.15% to 7.01% on the Math app. It also brings around 41% increase in In-App Start Trial Rate across the board.

Before

← Before

Immediate paywall — users hit the upgrade screen before any engagement

After →

LPB flow — premium pitch lands at peak motivation (Solution Found! moment)


The Global-to-Local Design System

To solve the design bottleneck, I built a Global Design System for all utility apps to ensure baseline consistency (colors, typography, basic UI components) . This was paired with a Local Design System for each app to host unique components and ensure flexibility.

OB Framework

Collaboration & Team Alignment

Managing a 20-person, 5-team initiative required deliberate communication. I established a rule to provide clear goals and purpose during each collaboration session, documented all key insights for the team’s reference, and created compelling presentations to secure stakeholder buy-in early on. This fostered strong alignment on our growth goals across all departments.


Impact

2+

More utility apps shipped

per sprint cycle

20%

Increase in the overall start trial rate

across the portfolio

5

teams in align

on growth goals

Reflection

Looking back

This project shifted my approach to design. I now start thinking about overarching scalability rather than focusing on individual wins and immediate needs.

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