Improved Trust and Safety in Home Healthcare

Designed a platform that connects NHS patients to private nurses at home.

Context

About

Mynursetogo is an early stage health startup, with goal to fill the gap of long waiting period for patient in UK and at the same time empower nurse.

Challenge

As a solo designer, I was tasked to design an app where user can book nurse from home, where the biggest challenge was huge mental model, safety and trust building in the platform with just team of two.

Impact
  • 100+ signups from patient and nurses.

  • Identified transparency in pricing as a major trust factor and key for retention.

My role

UX design, UI design

Team

Product Designer (me), Founder (NHS Nurse)

Timeline

4 months

🎯 It was never about replacing NHS

7.4 million patients are waiting for planned care up to 9 months in NHS, and nurses are burning out.

Options outside the NHS are thin, and appointment waiting period is high. Private hospitals are expensive and there's no simple way to access a qualified nurse without going through an overwhelmed system.

Nurses are overworked and under-resourced, struggling to deliver consistent in-home support.

Goal is to bridge this gap by exploring ways to make healthcare more accessible, continuous, and focused on the patient's needs, especially during the waiting periods.

Current status

We validated product-market fit and generated early qualified leads by launching a lightweight waitlist experience before committing engineering resources.

The initial launch focused on validating demand and building investor confidence before committing engineering resources.

100+ signups

Nurse sign-ups in first month demonstrating measurable demand before product launch.

↗ Trust

The website became a centralised trust and acquisition layer, improving brand perception.

Booking app was not the solution!

Field research with nurses changed the direction completely. What looked like a matching problem was three overlapping problems:

👩🏼‍⚕️ Nurses complained about the system they had to work in

Nurses are quitting because the platform, tools, or work system creates unnecessary stress and makes the job difficult to sustain.

👩🏼‍⚕️ Nurses complained about the system they had to work in

Nurses are quitting because the platform, tools, or work system creates unnecessary stress and makes the job difficult to sustain.

💰 Hidden fees and huge mismatched pay rates

This difference between what nurse get and what patients pay, were the most cited reason for leaving.

💰 Hidden fees and huge mismatched pay rates

This difference between what nurse get and what patients pay, were the most cited reason for leaving.

⛑️ Safety Anxiety is real

Both nurses and patients carried anxiety about what happens if something goes wrong at home, but no platform named it or designed for it.

⛑️ Safety Anxiety is real

Both nurses and patients carried anxiety about what happens if something goes wrong at home, but no platform named it or designed for it.

What we are actually trying to solve : trust, transparency, safety

#1 Money transparency is tie-breaker

During research, a nurse said it -

When I was working at X, I found out that the patient paid £100, and I only got £27. That's crazy; my effort, travel, petrol, and time all for just £27!

This gave me insight that earnings transparency isn't a feature, it's retention. Money transparency is tie-breaker on whether a nurse will stay on the platform. Not the work. Not the patients. The number.

Earnings shown upfront, before a nurse accepts any job, not buried in a confirmation screen.

Trust and Safety

"I had a few complicated procedures to do. No support at all. You were just expected to know how to do it and do it."

Nurse safety: Emergency contact protocol if something escalates at a patient's home. Clear guidance on what to do in edge cases — so nurses aren't making clinical judgment calls alone in someone's living room.

Patient safety

Every nurse verified before going live: NMC registration, DBS Enhanced Check, professional indemnity insurance, and Clinical Safety Test.

When we realised trust and safety are big blockers, the founder took extra steps to learn the Clinical Safety Test process herself, which became the platform's baseline standard that competitors had skipped entirely.

💥 Founder did not prioritize user research and user testing

The conflict: The founder was concerned that user research and testing would expose the product idea to others before launch, leading them to avoid validating the concept with users.

What I did about it: Researched the problem, not the solution.

Learned user frustration through founder

My questions focused on NHS frustrations, what patients do while waiting, and how they feel when care isn't available. Problem-space only without sharing product idea.

What I did to get all the info

Ran field research with nurses. Spoke to the founder — who is a nurse herself — about how she saw waiting periods affect people around her. Mapped real emotional stakes, not assumed ones.

What I did to get all the info

Ran field research with nurses. Spoke to the founder — who is a nurse herself — about how she saw waiting periods affect people around her. Mapped real emotional stakes, not assumed ones.

📘 Learnings

Learning in ambiguity.

The project started without a clearly defined problem, metric, or scope. Instead of jumping into screens, I focused on reducing uncertainty through strategic decisions.

I reframed research around patient and nurse frustrations, which uncovered the real issues: trust, safety, and pricing transparency. Rather than building the full product immediately, we validated demand first through a waitlist launch.

What next ❓

Pitching to investors

Waitlist data (100+ sign-ups, patient/nurse ratio) gives the founder investor-ready proof of demand. The case study documents the thinking behind every major design decision for due diligence.

Pitching to investors

Waitlist data (100+ sign-ups, patient/nurse ratio) gives the founder investor-ready proof of demand. The case study documents the thinking behind every major design decision for due diligence.

Potential customer activation

Waitlist is live and collecting. Next step is converting warm leads: targeted follow-up to the most engaged nurses and highest-intent patients who signed up early.

Potential customer activation

Waitlist is live and collecting. Next step is converting warm leads: targeted follow-up to the most engaged nurses and highest-intent patients who signed up early.

Let's Connect!

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Let's Connect!

Powered by coffee ☕️, curiosity 🧠 & Ctrl + Z.

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