• mountain peaks

    Designing the right experience can change your business.

Improve Usability

User feedback was telling us there were misconceptions and lack of understanding in our buy flow which could be impacting our conversion rate and increasing costs

Problem:

  • Performed in-depth moderated usability studies

  • Narrowed findings to verify the problem areas

  • Generated several concepts to address the problems

  • Performed comparative usability study to test the concepts and narrow the alternatives

  • Iterated the design based on findings

  • Built the challenger and A/B tested against the control

Action:

  • Built and implemented a new way of ordering - backed by qualitative and quantitative research.

  • Reduced flow steps from 5 to 3

  • Increased order conversion by 11%

Result:

Improve Experiences Ecosystem-Wide

Product owners of websites and apps were not following UX standards, guidelines, and best practices which can negatively impact usability, conversion, and increase costs.

Problem:

  • Performed digital ecosystem-wide analysis

  • Developed inventory of inconsistencies and opportunities to improve

  • Identified the problem

  • Generated several ideas to combat the problem

  • Settled on a way to use UX experts and users to identify and highlight areas of opportunity and levels of severity.

  • Implemented the process and documentation

  • Interviewed internal users, found areas to improve

  • Iterated 4x through a continuous improvement cycle

Action:

  • Conceptualized and brought to life an ongoing mechanism to measure usability and UX standards compliance throughout the digital ecosystem.

  • Improved usability in all experiences

  • Improved self service adoption and reduced call center calls by 25k calls per month or $1.8M annual cost reduction.

Result:

intentionally blurred

Design System

Problem:

We had no comprehensive online repository for brand guidelines, components, patterns, styles, and UX best practices which can decrease efficiency, usability, and brand perception.

  • Take inventory of all reusable components and patterns across all websites and apps

  • Evaluate and choose a design system tool

  • Define and document components’ and patterns’ guidelines in detail

  • Research needs of our users

  • Release and evangelize design system - beta version

  • Continue building out components and patterns

  • Build process and set measurable goals to ensure adoption and compliance

  • Continually research needs of users

  • Continually release new versions (with reusable code)

Action:

  • Created a highly valuable and useful tool for product owners, designers, and developers to self serve brand guidelines, reusable components and patterns, and standards.

  • Attained a 4+ star usefulness rating from users

  • Improved consistency across all digital properties

  • Reached a high level of adoption across the organization

Result:

Design system component example
Design system code example

Design Operations

There was no formal standardized design process, projects were not consistently approached with a design thinking methodology which can lead to solving the wrong problem, increased risk, and poor products

Problem:

  • Researched design team models

  • Analyzed what would work best for our business and customers

  • Put together draft process flow and documentation

  • Tested it on several projects

  • Learned it was over processed - too much burden on stakeholders and our team

  • Refined and optimized - fewer presentations, less documentation

  • Tested on medium to large scale projects

  • Rolled out new process organization wide

Action:

Created and implemented user-centered design thinking approach that consistently and efficiently produces research backed designs resulting in attaining business goals and improved usability scores, CES, and NPS.

Result:

To ensure we design the right thing... and design the thing right... we must empathize through discovery, define through synthesis, generate ideas through exploration, select and solve through testing. This ensures solutions are data driven, backed by research and design reasoning, not just subjective opinions.