Wash is a Nigeria-based laundry and garment-care platform bringing everyday laundry, dry cleaning, luxury garment care, shoe and bag restoration, and self-service laundromat booking into one clear mobile experience.
Laundry is recurring and time-sensitive, yet users lacked clarity around pricing, service differences, pickup expectations, and order status. The expanding service catalogue risked making the experience feel fragmented and difficult to trust.
I designed Wash as a connected service ecosystem. Each service has a focused journey, while shared patterns across onboarding, ordering, tracking, payments, and post-order interactions keep the experience intuitive, transparent, and scalable.
The work began by understanding the complete ecosystem, the people using it, and the moments where unclear structure created unnecessary friction.
Mapped every Wash service to identify overlaps and unique operational requirements
Prioritised friction around service confusion, uncertain pricing, and limited post-pickup visibility
Structured flows around three core user intents: place an order, track progress, or manage preferences
Validated the system with users and implemented improvements that reduced decision fatigue
A useful product must understand what each person is trying to protect, avoid, and accomplish.
A busy Lagos professional who needs reliable weekly laundry pickup without spending time calling, negotiating, or following up.
Owns designer garments, shoes, and bags and needs specialist care rather than a generic laundry service.
The design process translated those findings into a clear, scalable system. Each stage reduced complexity while preserving the personality and purpose of the product.
Analysed product personas and created a clear visual direction balancing everyday convenience with premium garment care.
Separated distinct service journeys while defining shared patterns for ordering, tracking, payments, and support.
Created a tailored mobile design system to keep an expanding set of services cohesive and efficient.
Tested the journeys with users and refined unclear decisions, states, and service-selection moments.
Users arrive wanting to place an order, track progress, or understand a service. Making those intents the primary architecture keeps the product useful even as Wash adds more business lines.
Luxury garments and restoration need more explanation and reassurance than everyday laundry. Their journeys use richer information while preserving shared navigation, actions, and status patterns.
Trust drops after pickup because the user cannot see the work happening. Clear order states, pricing expectations, and next actions turn an opaque offline process into a predictable experience.
The system needed enough consistency to feel effortless, and enough flexibility for everyday laundry, luxury care, restoration, and self-service to remain distinct.
A unified home experience that surfaces active orders, available services, and quick actions without friction, so every return visit starts with clarity.
A focused multi-step ordering flow that makes pricing expectations clear, reduces decision fatigue, and confirms every detail before the pickup is booked.
Dedicated specialist journeys for luxury garment care and self-service laundromat booking, each with the right level of detail and reassurance, built on shared interaction patterns.
Clear status updates and next-step visibility at every stage, turning an opaque offline process into a predictable, trust-building experience after pickup.
Service design is often about making invisible operations legible. The interface earns trust by explaining what is happening when the customer cannot see the work.
Consistency does not mean forcing every service into one template. The strongest system preserves familiar interaction patterns while allowing specialist journeys to explain what makes them different.
A scalable product architecture should reflect stable user intentions, not a business org chart that may change next quarter.
One coherent mobile platform for everyday, premium, restoration, and self-service care
Clearer service selection, pricing expectations, and order progress
A scalable design system supporting future services and deeper personalisation
