Evolution builder

Evolution builder

Evolution builder

Product Design

UX/UI Design

Interaction Design

Making complex decision-making easier to navigate

https://www.easysbc.io/evolutions/builder

https://www.easysbc.io/evolutions/builder

After the initial launch of the feature, I took ownership of its continued evolution. The experience helps users navigate complex decisions involving multiple variables, dependencies, and possible outcomes.

My role was to improve clarity without compromising the depth and flexibility of the product. Through iterative design, I refined the experience to make complex information easier to scan, compare, and understand, contributing to measurable improvements across key user and business outcomes.

Improved User Engagement

Improved User Engagement

The redesign contributed to measurable improvements across key user and business outcomes.

The redesign contributed to measurable improvements across key user and business outcomes.

Info

Due to contractual confidentiality, some implementation details, business metrics, and product-specific information have been omitted or generalised. Although the project achieved strong user and business outcomes, the underlying data cannot be shared publicly. This case presents a high-level overview of the challenge, my role, and the overall solution. I’d be happy to discuss the project and its outcomes in more detail in person.

01 Challenge

01
Context

The feature had grown in both functionality and complexity. While it offered significant value, navigating the available information could become overwhelming.

The challenge became:

How might we create a clearer and more intuitive experience that supports confident decision-making while preserving the feature’s depth?

02 Process

Several interaction concepts were explored, each balancing discoverability, information density, and browsing behaviour in different ways.

Concept A

Prioritising focused exploration

Concept B

Progressive disclosure

Concept C

Flexible interaction

03 Process

Rather than jumping directly into solutions, I explored several different interaction models representing different trade-offs between discoverability, information density, and browsing behaviour.

These concepts were evaluated through qualitative usability testing using think-aloud sessions and follow-up interviews.

The objective was not to validate a preferred design, but to understand which interaction patterns best supported users’ mental models.

Concept C

Progressive disclosure

Tested whether allowing users to choose between different browsing patterns improved confidence across different usage contexts.

Concept A

Prioritising focused exploration

Explored whether presenting information in a more sequential browsing pattern would reduce perceived complexity and encourage exploration.

Concept B

Progressive disclosure

Investigated whether revealing additional information only when requested could reduce cognitive load while preserving access to advanced details.

03 Final iteration and implemented design

04 Key Insights

The final design focused on improving clarity through stronger visual hierarchy, a more consistent information architecture, and interaction patterns that progressively revealed complexity instead of presenting everything at once.


Rather than simplifying the underlying system, the goal was to help users navigate it with greater confidence by making information easier to scan, compare, and understand.

04 Reflections

07 Reflections

This project reinforced an important lesson for me: designing complex products is rarely about reducing complexity. More often, it is about organising information in a way that helps people navigate it with confidence.


It also reminded me that the strongest solutions often emerge through iteration. Exploring different approaches and refining them over time led to a more intuitive and cohesive experience than committing to a single direction too early.


Ultimately, the project strengthened my belief that great product design is not about removing complexity, instead, it is about making complexity feel understandable.

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