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QLess / Pegasus

From Queues to Decisions.

Redesigning the platform’s MVP for staff managing queues, appointments, and in-person service.

Role
UX Lead
Platform
Operations platform
Scope
System redesign MVP
Timeframe
9 months
Impact
16% Immediate migration
From Queues to Decisions.

The Product

600+

Client organizations

This platform helps organizations manage in-person services through virtual queues, appointments, and staff routing.

After a decade of growth, design debt and outdated technology had turned diverse operational requirements into inefficient workflows —making a major overhaul necessary.

The Challenge

How might we define a focused MVP for a platform shaped by a decade of different operational needs?

My Approach

With no previously established UX processes, I started by reviewing what QLess already knew about platform usage and user feedback and I used that foundation to shape the redesign alongside the VP of Product and product managers.

Rather than tackle every industry-specific workflow at once, I proposed starting with a core flow shared across industries, refining it first, then expanding to more specialized use cases.

The Friction

Who to call next?

Supervisors wanted to reduce the time between visitors, while employees struggled to manage multiple queues. These needs converged on one recurring moment in the core flow: calling the next visitor.

Legacy platform UI with multiple queues scrolling horizontally and manual prioritization

The Insight

If the product already knows who should be called next, why ask employees to make that decision?

The opportunity wasn’t to give employees better tools to decide. It was to let the product make the best decision by default.

Summon Next Visitor recommendation combining arrival order, appointments, business rules, service priorities, and accessibility requirements

The Strategic Decision

Move routine decision-making from the employee to the product.

Before

Multiple queues + Multiple possible choices → Employee decides

After

Multiple queues + rules + priorities → "THE PRODUCT RECOMMENDS"

From Decision to Workflow

One recommendation. Human judgment when it matters.

Recommended Next

The product evaluates the queues and surfaces the best next visitor based on priority rules.

Employee Control

The employee can follow the recommendation—or choose differently when context requires it.

Pegasus interface showing the recommended next visitor and employee control

Automate the routine, preserve human control.

The Interface

Read the queue

Urgency, status, and service details make priorities visible before opening a visit.

Original Pegasus Serving view showing walk-in and appointment queues
Queue card urgency variants: On time, Soon, Now, Overdue, Late, and Out of availability

Act without losing context

Essential visit details and actions stay beside the queues while the panel adapts from calling to serving, keeping the wider workload visible.

Original open visitor panel alongside walk-in and appointment queues

Summoning

Summoned visitor panel with Start serving, Summon again, and Mark as No-show actions

Serving

Original Serving visitor panel showing the active service and assigned employee

Ending service

Ending service panel with completed-service selection and Done action

Served

Completed visitor panel with service details, time in line, and served employee

Manage the operation

Edit details, add a visit manually, or switch to a broader view of visits and appointments.

Edit a visit or visitor

Visitor panel Edit action and Edit visitor info form with Update and Cancel actions

Add a visit manually

Manual walk-in creation: Add walk-in, service selection, visitor details, and enabled Add action

All visits

Original All visits table showing services, timing, employees, and visit statuses

Appointments

Appointments list with date-range calendar open and visit status columns

The Impact

One less decision. A clearer next step.

16%

Immediate migration. 98 of 617 organizations migrated to the MVP in its first week.

One less decision between every visitor.

Employees can act on the recommendation without comparing queues each time.

Prioritized by default. Human control for exceptions.

Priority rules guide the recommendation, while employees can choose differently when context requires it.

People should spend their time helping visitors, not deciding who deserves help next.

Key Learnings

Make routine decisions part of the product.

The real simplification came from redistributing responsibility: the product handled repetitive prioritization, while employees retained judgment for the cases that required context.

What I’d Do Differently

The legacy product had no comparable analytics, and by defining the new product measurement strategy only from the MVP forward, we missed the window for an immediate before-and-after comparison.

Explore Pegasus

Watch how to call the next visitor, complete the service, and create an appointment, or try the prototype in a new tab

Watch how to call the next visitor, complete the service, and create an appointment, or