Case study · Product design·2025

Meet Mira

Visual Designer · AI Experience Support

Company

Mirastar Federal Credit Union

Industry

Fintech · Credit Union

Role

Visual Designer · UX Support · AI Experience

Year

2025

Meet Mira — desktop and mobile mockup
Overview

Trust + speed for credit union members.

Mirastar Federal Credit Union set out to improve how members find information and get support online. The team launched Mira, an AI-powered virtual assistant (built on the Glia platform), to provide faster, more accessible help while reducing friction in the member experience.

As Visual Designer, I collaborated with marketing, internal stakeholders, and the implementation team to shape Mira's visual experience, support user testing, and optimize how the assistant integrated across the website — from first impression to hand-off.

Business goals
  • Increase member engagement
  • Improve digital support accessibility
  • Encourage self-service interactions
  • Reduce friction in finding information
User goals
  • Get answers faster
  • Easily navigate products and services
  • Access support without leaving the website
  • Feel confident Mira is trustworthy

My responsibilities — Visual design, UX support, AI assistant experience design, user testing & feedback collection, and cross-functional collaboration.

The problem

Members struggled to find answers — and called instead.

Before the assistant launched, online sessions often ended without resolution. The team needed a way to surface the right information at the right moment, without overwhelming the website.

01

Information was hard to find

Members struggled to quickly locate loan rates, account info, and branch details — leading to abandoned sessions.

02

Heavy support dependency

Phone and in-branch support carried questions the website should have answered, increasing wait times.

03

Self-serve felt unsafe

Without guided cues, members weren't confident enough to complete tasks online on their own.

Discovery

Mapping the member journey, before and after.

We mapped how members tried to get help today and compared it to a Glia-assisted future state. The gap was clear: friction wasn't a content problem, it was a guidance problem.

Member journey before Glia
Member journey after Glia
Top member queries
  • Members primarily sought account information
  • Loan and banking services were a top query
  • Branch and contact info had high search intent
  • General support guidance needed clearer paths
Design considerations
  • Placement strategy & entry-point visibility
  • Call-to-action hierarchy
  • Trust-building visual elements
  • Brand consistency & accessibility
  • Mobile responsiveness
Process

From stakeholder alignment to iterative refinement.

01Phase

Discovery & stakeholder alignment

Worked with internal stakeholders and implementation partners to map common member questions, key support workflows, and brand & compliance requirements.

02Phase

Experience design

Designed Mira's visual identity and interface treatments so the assistant felt visible without distracting — balancing brand consistency, accessibility, and mobile responsiveness.

03Phase

User testing

Participated in testing sessions to evaluate discoverability, ease of interaction, user confidence, and navigation success — collecting feedback on entry-point visibility and messaging clarity.

04Phase

Iteration & optimization

Refined Mira's visual hierarchy, onboarding cues, and conversational entry points based on stakeholder feedback and testing insights.

Process visual
User testing

What testing revealed — and what we changed.

Members didn't open the assistant unless they trusted it would help. Small changes to entry-point visibility and starter prompts moved the needle the most.

Finding 01

Entry point visibility

Members didn't always notice Mira on first visit. We refined the launcher and supporting cues so the assistant felt inviting and on-brand.

Finding 02

Messaging clarity

Initial copy felt generic. Rewriting Mira's opening line and starter prompts raised engagement on first open.

Finding 03

Interaction guidance

Bringing in clearer next-step cues inside Mira's responses reduced extra navigation and lifted task completion.

Final solution

Mira — conversational, on-brand, always one tap away.

Mira lives across desktop and mobile with a friendly owl identity, on-brand visuals, and a clear path to a human specialist when conversations need one. Members can ask in plain words and get a guided next step in seconds.

Final solution visual
Identity

Mira — a friendly owl mascot members instantly recognize.

Entry point

Persistent launcher with a clear opening prompt + name/email capture.

Hand-off

Seamless escalation to a live member specialist when needed.

Impact

28%

increase in customer engagement following Mira's launch

  • Increased engagement with digital support experiences
  • Improved discoverability of online resources
  • Enhanced member self-service capabilities
  • Positive stakeholder adoption across teams

Mira launched as a digital support experience that empowered members to self-serve more effectively, contributing to a 28% increase in customer engagement post-launch. The work supported a successful rollout of AI-assisted member support and strengthened Mirastar's digital-first service strategy.

Key learnings

What designing AI experiences taught me.

Designing for trust

Members give an AI assistant trust through small details — a friendly identity (Mira's owl mascot), brand consistency, and an obvious hand-off to a human when needed.

Conversational UX is content design

The biggest engagement lifts came from rewriting Mira's prompts and replies, not redesigning UI. Tone and structure carry the experience.

Accessibility is a feature

Keyboard, screen reader, and contrast considerations broadened who could comfortably self-serve through Mira.

AI works with humans, not instead of them

Mira performed best when designed as a smart triage layer that handed members off seamlessly to a specialist when stakes were high.

Credits — Mira powered by the Glia conversational AI platform · Collaboration with Mirastar marketing, product and implementation teams.

Made with Emergent