Case Study

REACH.ai

REACH.ai
Booking Dashboard

Bringing an outdated experience back to life again

REACH.ai dashboard shown on desktop and mobile
Client
REACH.ai
Role
Lead product designer
Duration
2020-2022
Tools
Figma · Principle

Introduction

Setting the stage

Barber blow-drying a client's hair in a salon

Context

What is REACH.ai?

REACH integrates with your scheduling software (think hair salon) & scans your live appointment book to look for last-minute openings and cancellations. REACH then contacts your customers on your behalf to fill these appointments using machine learning algorithms to predict who most likely will fill this opening.

Merchant dashboard

Owners needed a command center that made demand, staffing, and client conversations obvious at a glance. Our task was to redesign the merchant experience so busy operators could trust the product in the middle of a packed Saturday.

PROCCESS

The plan

We framed the work as a discovery-led redesign with a clear decision path — learn fast, pressure-test assumptions, then ship in focused sprints.

  1. Identify and understand merchant’s pain points, wants, and needs

  2. Interview with merchants to learn about their current experience and what they expect from the experience

  3. Evaluate the existing page designs

  4. Conduct a 3-day in-person workshop

  5. Wireframe concepts

  6. Update visual designs and create a style guide/design system

Identify

Meet Emily

Emily, merchant persona
“I need an easy-to-use interface to gain quick, high-level insights into our client’s booking habits and how it affects our stylist’s schedule.”

Frustrations

  • Managing multiple, complex communication tools
  • Dashboard feels noisy during peak hours
  • Appointment details exist in several separate systems

Goals

  • Ability to bubble up information to business owner when asked
  • Manage less inbound calls and emails regarding bookings
  • Reduce front-desk interruptions

Discovery

Interviews

Because we couldn’t afford to do user testing or interviews, we offered the customer success team a list of questions to ask consumers during sales and support calls.

12

Participants

14

Questions

16+

Hours

What we asked

  1. How do you feel about the design?
  2. How would you improve the design?
  3. What features are most important to you, visited most?

What we heard

“There is a lot of information on the dashboard.”

“I can’t find what I’m looking for.”

“My staff shouldn’t need a tutorial to check in a walk-up.”

“It’s difficult to change locations.”

Evaluate

Heuristic evaluation

I reviewed the existing designs and identified areas of improvement of the UI/visual design and documented experience risks.

Annotated REACH.ai dashboard with heuristic findings

Simplify the color palette

Collapse redundant navigation into a calm primary rail

Optimize for mobile. Responsive design

Remove unnecessary/legacy features

Reduce the amount of content on the page

Establish consistent status color, type, and confirmation patterns

Discovery

Sprint

3-day, in-person workshop

I planned and lead a 3-day workshop onsite in Phoenix, Arizona. We reviewed the existing experience and eventually identified areas where we could improve the user experience.

Workshop participants reviewing sticky notes on a wall

Design sprint activities

  • Stakeholder alignment
  • Research synthesis
  • Dot voting
  • Sketching
  • Crazy-eights
  • Homework
  • Critique
  • Wireframes
  • Retro

Discovery

Wireframes

Structure before polish

Overlapping dashboard wireframes showing revenue overview and location selector

Create

Design

Polishing the pixels

High-fidelity UI brought breathing room, confident typography, and a design system that made charts, status, and AI moments feel like one product family.

Overlapping REACH.ai desktop screens showing bookings and results dashboardsREACH.ai mobile screens showing results, account, and passwordREACH.ai welcome back login screen with portraitOverlapping REACH.ai settings and my account screensREACH.ai design system sheets with colors, buttons, and typography

Design

Results

Project success metrics.

High-fidelity UI brought breathing room, confident typography, and a design system that made charts, status, and AI moments feel like one product family.

2x

Engagement Surge

In comparison to the previous iteration, customers spent twice as much time interacting with the dashboard over the course of a week.

-40%

Support Decline

Fewer “where do I…?” tickets as hierarchy, labels, and empty states did the teaching.

3wks

Faster handoff

Shared components and a clearer IA shortened design-to-engineering cycles on follow-on features.

Other insights

  • Positive feedback from current customer base as well as potential customers during sales demos.
  • The majority of clients who were using the previous UI decided to upgrade to the new dashboard design.

Case studies

My work