Understanding the platform

Zuno connects customers, engineers and operations across the home-service lifecycle. The Engineer App is where engineers join the network, manage qualifications, complete jobs and maintain their eligibility for work.

One app, many workflows

The Engineer App had grown around individual services and operational needs. As Zuno expanded into new trades, fragmented onboarding, compliance and job workflows became harder for engineers to navigate and harder for the business to scale.

Fragmented journeys – Onboarding, compliance and jobs behaved like separate experiences

Operational complexity – Different trades introduced different requirements, qualifications and evidence

Platform scale – The product needed to support additional trades and brands without duplicating every experience

My role across the platform

I worked hands-on across discovery, product design and delivery, partnering closely with Product, Engineering, Operations and Compliance to shape both immediate improvements and the longer-term platform direction.

Discovery & strategy

Product & systems design

Delivery & collaboration

Making onboarding easier to complete

Engineer onboarding had high drop-off and incomplete profiles. The challenge was to reduce friction without weakening the qualification and compliance checks required to join the network.

Requirements felt long and difficult to understand

Progress and outstanding actions lacked visibility

Interrupted applications were difficult to resume

Insight

Engineers were not only completing a form. They were deciding whether joining Zuno was worth the time and effort.

The solution

Progressive onboarding – Smaller stages made the application easier to understand and resume

Clear requirements – Engineers could see what was required, why and its current status

Actionable progress – The experience prioritised what needed attention next

Decision and trade-off

Decision

Structure onboarding around reusable stages rather than one continuous application

Trade-off

More structure increased implementation complexity but created a model that could scale across trades

Outcome

22% higher onboarding completion

18% lower engineer churn

27% growth in electrician registrations

Turning compliance into a manageable journey

Compliance had been treated largely as document management. I reframed it around a simpler engineer question: “What do I need to do to remain eligible for work?”

The problem

Expiry was reactive rather than preventative

Statuses didn’t clearly communicate who needed to act

Operations relied on manual follow-up

The design model

I moved the experience towards a requirement-based model.

Each requirement could communicate:

Current status

Expiry date

Required action

Submitted evidence

Status system

A shared status model powers every compliance component across the Engineer App.

Solution and trade-off

Solution

I introduced a requirement-based model connecting status, expiry, evidence and next action, using consistent logic across the Engineer App and Admin

Trade-off

Rather than relying on more notifications, I prioritised clearer in-product states so engineers could understand and resolve issues in context.

Outcome

31% lower expired documents

24% fewer support contacts

19% more documents renewed before expiry

The new model gave engineers clearer ownership of their compliance while helping internal teams review submissions more consistently and reducing avoidable support.

Helping engineers complete jobs faster

Job completion involved forms, checks and extensive photographic evidence.

The existing process often expected engineers to complete this administration at the end of a job, even when some evidence needed to be captured before or during installation.

This was not only an upload problem. It was a workflow problem.

Discovery

I shadowed the Solar Audit team to understand how job submissions were reviewed and why engineers were being asked to provide additional evidence.

The most important insight was that evidence requirements were not aligned with the physical sequence of installation work.

Evidence was often requested after the relevant installation stage

Engineers lacked context on what each photo needed to prove

Missing evidence created repeated audit follow-up

Key insight

The problem wasn’t uploading photos. It was asking for the right evidence at the right time.

The design direction

I moved the experience towards a stage-based job workflow that reflected how engineers completed physical work on site.

Prepare – Review requirements before starting

Capture – Collect evidence while relevant parts remain visible

Review – See outstanding forms and photographs before submission

Submit – Complete the job with confidence that required evidence is present

Decision and trade-off

Decision

Align evidence requirements with installation stages instead of presenting one final checklist

Trade-off

More touchpoints during the job could feel intrusive, so each interaction needed to remain lightweight and skippable where appropriate

Expected impact

Expected product and operational impact

Fewer missing photographs

Higher first-time audit approval

Less follow-up with engineers

Faster job administration

Designing a scalable multi-trade platform

As Zuno expanded beyond its original service model, individual workflows were becoming difficult to scale. I helped move the product towards shared terminology, behaviours and components that could support multiple trades, brands and user types.

Shared operational logic

Engineer actions often triggered operational work behind the scenes. I aligned statuses and workflow logic across the Engineer App and Admin while adapting each interface to the needs of its users.

Themeable design foundations

Reusable patterns across onboarding, compliance and job delivery reduced duplication, while a themeable customer design system helped Zuno support enterprise brands without rebuilding the experience for each partner.

Light Mode

Dark Mode

BOXT

E.ON Next

What changed

What I took forward

Design around real work – Field-service software needs to follow the physical workflow, not just the data model

Reduce downstream complexity – Better engineer experiences can remove operational work elsewhere in the system

Build systems carefully – Reusable patterns should emerge from repeated needs, not abstraction alone

Recent Projects

Recent Projects

Recent Projects