Product DesignUX ResearchUI Design

Zonepulse

A real-time hospital dashboard, built from zero, that turns fragmented data into one predictive view so leaders act before a bottleneck, not after.

Role

UX Designer

Timeline

October 2024 – February 2025

Tools

Figma, FigJam, Gemini, Claude, v0

0 → 1

0 → 1

0 → 1

Shipped from zero — a Nordic-focused predictive ops dashboard

3 → 1

3 → 1

3 → 1

Patient flow, staffing and compliance unified into one view

3 roles

3 roles

3 roles

Director, ICU head and compliance officer — one dashboard, three lenses

Predictive

Predictive

Predictive

Trend alerts before critical load, not after

The challenge


Zonepulse is a healthcare analytics dashboard, built 0→1, for hospital administrators and department heads. It gives them real-time visibility into patient flow, staff allocation and compliance — the operational picture that, left fragmented, turns into delays and compliance risk.


Primary goal

How do we help Nordic healthcare leaders see bottlenecks coming, improve bed allocation and cut patient waiting times? That set the brief: make the hospital’s moving parts visible in one place, and use AI predictions to buy teams time.

Research & Deliverables

North Star

A first-time user trusts Crumbs with recurring money because nothing on screen makes them hesitate.

The work spanned user research, information architecture, interaction design and the AI features. I worked closely with the product manager and developers to turn clinical insight into something people could actually use, and to make dense healthcare data readable. The part that mattered most was predictive analytics — helping teams handle problems before they happened.

Interviews & personas

  • Hospital Director: “We scramble when occupancy spikes, but the data arrives too late.”

  • ICU Head: “I need real-time alerts before we hit critical load.”

  • Compliance Officer: “Reporting is reactive. By the time it’s filed, it’s already a crisis.”

The goal underneath all three: improve operational efficiency, cut costs, and support faster decisions in hospital logistics.

Competitive analysis

Benchmarked against Epic Systems and Tableau Healthcare. The key finding: centralised dashboards with predictive alerts are rare in Swedish systems.

What users actually asked for

  • “When occupancy trends up, alert me so I can open surge capacity.”

  • “Before shift change, let me simulate tomorrow’s census to adjust staffing.”

  • “Each quarter, give me a one-click compliance report to submit to regulators.”

Core features

  • Real-time bed and ICU usage with trend sparklines

  • Projected capacity for tomorrow based on current trends

  • Side-by-side unit performance and staffing ratios

  • Critical-alert clarifications

The outcome

Key capabilities included the following:

  • Live staffing levels by unit and shift

  • Equipment availability and utilization status

  • Filters by department, role, and time window

  • Clear indicators for shortages and capacity limits


AI-assisted features focused on:


  • Trend detection: Identifying emerging staffing or equipment gaps before they became critical

  • Scenario highlighting: Flagging units at higher risk based on historical and current patterns

  • Planning support: Suggesting where attention may be needed, without automating decisions



Decisions & Trade-offs

Turning scattered feeds into one place to plan from.

Unifying live hospital data meant trading integration effort and model trust for a single view. Each row is the move, what it cost, and why it was worth it.

DecisionWhat it costWhy it was worth it
01

One real-time command view

Integrating systems that refresh on different clocks.

Staff plan from a single source of truth instead of stitching four feeds by hand.

02

AI that recommends, not just charts

A wrong call costs trust, so the model had to earn it.

Decisions get faster where minutes matter — the tool acts, it does not just display.

03

Forecasts hours ahead

More false alarms than a reactive threshold.

Teams staff before a surge, not during it — the whole point of the system.

04

Separate exec and floor views

More screens and permissions to maintain.

Each role sees only what it can act on, so the wall stays glanceable under pressure.

05

Glanceable status over dense analytics

Deep drill-down moves off the main wall.

The command view stays readable across a ward at a distance — speed beats depth here.

F01

Sustainability, folded into the trip

Problem

Green features usually live in a tab nobody opens, so eco-driving stays an afterthought instead of shaping the trip.

Decision

Carbon, charging and Green Credits sit inside the live trip and vehicle views — footprint tracked as you drive, charging found in a tap, and credits earned for every eco-mile.

Tradeoff

More on the trip and vehicle screens to keep legible, and a rewards economy to maintain behind Green Credits.

Outcome

Target: eco-driving becomes the default path, not a setting people have to go looking for.

F02

Pricing you can trust

Problem

Payment is where rental flows lose people — a single moment of doubt about the total reads as a hidden fee and turns into a drop-off.

Decision

Pricing, billing terms and confirmation are cleanly separated: a live cost breakdown, protection and add-ons chosen explicitly, and a running total that stays legible at every step.

Tradeoff

More steps between choosing a car and paying, in exchange for a total the user always understands and controls.

Outcome

Target: fewer checkout drop-offs, with the final price never a surprise.

F03

A guided rent-or-lease choice

Problem

Renting versus leasing is the hardest call a new user makes, and a bare side-by-side comparison offloads all of that decision fatigue onto them.

Decision

A short guided questionnaire reads usage and priorities, then recommends renting or leasing with a clear match score and the exact reasons why — a decision made with the user, not dropped on them.

Tradeoff

A recommendation lands before the user has weighed both options themselves, so every result shows its reasoning and a one-tap way to compare.

Outcome

Target: less decision fatigue at the first big choice, and more confident bookings.

Next project

Crumbs

Redesigned an iOS-based micro-savings and investment app, improving setup completion and increasing early retention.

Crumbs

Redesigned an iOS-based micro-savings and investment app, improving setup completion and increasing early retention.

Crumbs

Redesigned an iOS-based micro-savings and investment app, improving setup completion and increasing early retention.

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