artemfinallymadeit

#Mobile

#Product

#UX

#UI

Home cleaning app designed to digitize cleaning services in a fully analog market, from research to a development-ready MVP

001

Context

Most cleaning bookings in the country are still made by phone or message, making the process slow and opaque

image

002

Research

For a better understanding of the local market, research covering local cleaning services and the global cleaning industry was conducted

— Global market overview, industry trends and growth potential

— Public reviews and social media comments

— Interviews with 20 cleaning service customers

— Calls to 30 local cleaning companies about services and pricing

— Interviews with 10 cleaners

003

Key findings and pain points

The research revealed recurring problems on both sides of the service

At the same time, the global market overview pointed to continued industry growth and long-term potential. Locally, most companies were fully booked three to five days in advance, indicating strong demand for cleaning services

Customer side:

1 / 4

Inconvenient booking process

Most cleaning services are booked by phone, through messages or on social media. After calling, customers are often asked to send the details again via a messaging app but may never receive a response. In roughly half of the cases, companies promise to call back but do not

2 / 4

Unclear service scope and pricing

Different cleaning types have no fixed task lists or clear pricing for additional services. Customers cannot see exactly what is included before booking, and the final price may differ from the initial quote

3 / 4

Low trust and accountability

Many cleanings are carried out without clear agreements or documentation, making it unclear who is accountable. If property is damaged or something goes missing, customers often have no clear way to resolve the issue

4 / 4

Last-minute cancellations

A cleaner may cancel shortly before the scheduled time or simply fail to show up, leaving the customer without the service or a quick replacement

Cleaner side:

1 / 2

Inefficient workflow

Schedules are managed manually and often change at the last minute. Cleanings are assigned without always accounting for the cleaner’s location or current workload, while cleaners have little choice over which jobs they take

2 / 2

Unclear payouts

Cleaners do not always understand how their earnings are calculated or why deductions are applied

004

Benchmarking

Since there are no mature digital home-cleaning platforms in the region to benchmark against, the research focused on global leaders in home cleaning and on-demand services to define a product baseline, identify proven UX patterns, and adapt relevant solutions to the local market context

Mobile-first booking

Time-slot scheduling

Flat-rate pricing upfront

Add-ons during booking

Standardised service scope

Quality guarantee

Verified cleaners

Cancellation policies & fees

Real-time order management

Handy

V

V

V

V

V

V

V

V

V

Helpling

V

V

V

V

V

V

Housekeep

V

V

V

V

V

V

V

V

TaskRabbit

V

V

Urban Company

V

V

V

V

V

V

V

V

V

005

Goal

Based on the research findings, the goal was to turn a fragmented manual process into a structured digital product that would make the cleaning experience faster, more transparent and more predictable for both customers and cleaners

image

006

Product structure

The product was structured into three connected parts covering every stage of the service

1 / 3

Customer app

Booking, payments, cleaning tracking

2 / 3

Operational layer

Pricing, order allocation, payouts

3 / 3

Cleaner app

Availability, available cleanings, checklists, earnings

007

Booking process

Booking was reduced to a four-step digital flow with clear service options and upfront pricing, replacing calls and messages

008

Trust and accountability

Booking a home cleaning means giving someone access to a private space. The product therefore needed to show that cleaners were verified professionals and make the service feel less anonymous

Cleaner verification and persistent order records give the support team a clear basis for handling disputes

009

Reducing last-minute cancellations

To reduce last-minute cancellations from both cleaners and customers, a cancellation fee system was introduced for both sides of the service

The hypothesis was that cancellation fees would discourage last-minute cancellations and no-shows. If a cleaner cancels, the order returns to the open-order pool and is prioritised for cleaners whose availability matches the booking. Once a replacement accepts it, the new cleaner appears in the customer’s existing booking

010

Digitising the cleaner workflow

The cleaner app replaces manual coordination with a digital workflow for planning availability, reviewing available cleanings and managing cleanings from acceptance to completion

011

Earnings transparency

The financial flow shows the cleaner’s earnings for each order and how the final payout is calculated

#Web

#Creative

#Mobile

#Brand

#Product

#UX

#UI

012

Outcome

The research findings were translated into a complete product design covering the customer and cleaner apps. The final deliverables also included naming, a logo and a reusable design system. The product entered development but was discontinued before launch, which is sad

artemfinallymadeit

#Mobile

#Product

#UX

#UI

Home cleaning app designed to digitize cleaning services in a fully analog market, from research to a development-ready MVP

001

Context

Most cleaning bookings in the country are still made by phone or message, making the process slow and opaque

image

002

Research

For a better understanding of the local market, research covering local cleaning services and the global cleaning industry was conducted

— Global market overview, industry trends and growth potential

— Public reviews and social media comments

— Interviews with 20 cleaning service customers

— Calls to 30 local cleaning companies about services and pricing

— Interviews with 10 cleaners

003

Key findings and pain points

The research revealed recurring problems on both sides of the service

At the same time, the global market overview pointed to continued industry growth and long-term potential. Locally, most companies were fully booked three to five days in advance, indicating strong demand for cleaning services

Customer side:

1 / 4

Inconvenient booking process

Most cleaning services are booked by phone, through messages or on social media. After calling, customers are often asked to send the details again via a messaging app but may never receive a response. In roughly half of the cases, companies promise to call back but do not

2 / 4

Unclear service scope and pricing

Different cleaning types have no fixed task lists or clear pricing for additional services. Customers cannot see exactly what is included before booking, and the final price may differ from the initial quote

3 / 4

Low trust and accountability

Many cleanings are carried out without clear agreements or documentation, making it unclear who is accountable. If property is damaged or something goes missing, customers often have no clear way to resolve the issue

4 / 4

Last-minute cancellations

A cleaner may cancel shortly before the scheduled time or simply fail to show up, leaving the customer without the service or a quick replacement

Cleaner side:

1 / 2

Inefficient workflow

Schedules are managed manually and often change at the last minute. Cleanings are assigned without always accounting for the cleaner’s location or current workload, while cleaners have little choice over which jobs they take

2 / 2

Unclear payouts

Cleaners do not always understand how their earnings are calculated or why deductions are applied

004

Benchmarking

Since there are no mature digital home-cleaning platforms in the region to benchmark against, the research focused on global leaders in home cleaning and on-demand services to define a product baseline, identify proven UX patterns, and adapt relevant solutions to the local market context

Mobile-first booking

Time-slot scheduling

Flat-rate pricing upfront

Add-ons during booking

Standardised service scope

Quality guarantee

Verified cleaners

Cancellation policies & fees

Real-time order management

Handy

V

V

V

V

V

V

V

V

V

Helpling

V

V

V

V

V

V

Housekeep

V

V

V

V

V

V

V

V

TaskRabbit

V

V

Urban Company

V

V

V

V

V

V

V

V

V

005

Goal

Based on the research findings, the goal was to turn a fragmented manual process into a structured digital product that would make the cleaning experience faster, more transparent and more predictable for both customers and cleaners

image

006

Product structure

The product was structured into three connected parts covering every stage of the service

1 / 3

Customer app

Booking, payments, cleaning tracking

2 / 3

Operational layer

Pricing, order allocation, payouts

3 / 3

Cleaner app

Availability, available cleanings, checklists, earnings

007

Booking process

Booking was reduced to a four-step digital flow with clear service options and upfront pricing, replacing calls and messages

008

Trust and accountability

Booking a home cleaning means giving someone access to a private space. The product therefore needed to show that cleaners were verified professionals and make the service feel less anonymous

Cleaner verification and persistent order records give the support team a clear basis for handling disputes

009

Reducing last-minute cancellations

To reduce last-minute cancellations from both cleaners and customers, a cancellation fee system was introduced for both sides of the service

The hypothesis was that cancellation fees would discourage last-minute cancellations and no-shows. If a cleaner cancels, the order returns to the open-order pool and is prioritised for cleaners whose availability matches the booking. Once a replacement accepts it, the new cleaner appears in the customer’s existing booking

010

Digitising the cleaner workflow

The cleaner app replaces manual coordination with a digital workflow for planning availability, reviewing available cleanings and managing cleanings from acceptance to completion

011

Earnings transparency

The financial flow shows the cleaner’s earnings for each order and how the final payout is calculated

#Web

#Creative

#Mobile

#Brand

#Product

#UX

#UI

012

Outcome

The research findings were translated into a complete product design covering the customer and cleaner apps. The final deliverables also included naming, a logo and a reusable design system. The product entered development but was discontinued before launch, which is sad

artemfinallymadeit

#Mobile

#Product

#UX

#UI

Home cleaning app designed to digitize cleaning services in a fully analog market, from research to a development-ready MVP

001

Context

Most cleaning bookings in the country are still made by phone or message, making the process slow and opaque

image

002

Research

For a better understanding of the local market, research covering local cleaning services and the global cleaning industry was conducted

— Global market overview, industry trends and growth potential

— Public reviews and social media comments

— Interviews with 20 cleaning service customers

— Calls to 30 local cleaning companies about services and pricing

— Interviews with 10 cleaners

003

Key findings and pain points

The research revealed recurring problems on both sides of the service

At the same time, the global market overview pointed to continued industry growth and long-term potential. Locally, most companies were fully booked three to five days in advance, indicating strong demand for cleaning services

Customer side:

1 / 4

Inconvenient booking process

Most cleaning services are booked by phone, through messages or on social media. After calling, customers are often asked to send the details again via a messaging app but may never receive a response. In roughly half of the cases, companies promise to call back but do not

2 / 4

Unclear service scope and pricing

Different cleaning types have no fixed task lists or clear pricing for additional services. Customers cannot see exactly what is included before booking, and the final price may differ from the initial quote

3 / 4

Low trust and accountability

Many cleanings are carried out without clear agreements or documentation, making it unclear who is accountable. If property is damaged or something goes missing, customers often have no clear way to resolve the issue

4 / 4

Last-minute cancellations

A cleaner may cancel shortly before the scheduled time or simply fail to show up, leaving the customer without the service or a quick replacement

Cleaner side:

1 / 2

Inefficient workflow

Schedules are managed manually and often change at the last minute. Cleanings are assigned without always accounting for the cleaner’s location or current workload, while cleaners have little choice over which jobs they take

2 / 2

Unclear payouts

Cleaners do not always understand how their earnings are calculated or why deductions are applied

004

Benchmarking

Since there are no mature digital home-cleaning platforms in the region to benchmark against, the research focused on global leaders in home cleaning and on-demand services to define a product baseline, identify proven UX patterns, and adapt relevant solutions to the local market context

Mobile-first booking

Time-slot scheduling

Flat-rate pricing upfront

Add-ons during booking

Standardised service scope

Quality guarantee

Verified cleaners

Cancellation policies & fees

Real-time order management

Handy

V

V

V

V

V

V

V

V

V

Helpling

V

V

V

V

V

V

Housekeep

V

V

V

V

V

V

V

V

TaskRabbit

V

V

Urban Company

V

V

V

V

V

V

V

V

V

005

Goal

Based on the research findings, the goal was to turn a fragmented manual process into a structured digital product that would make the cleaning experience faster, more transparent and more predictable for both customers and cleaners

image

006

Product structure

The product was structured into three connected parts covering every stage of the service

1 / 3

Customer app

Booking, payments, cleaning tracking

2 / 3

Operational layer

Pricing, order allocation, payouts

3 / 3

Cleaner app

Availability, available cleanings, checklists, earnings

007

Booking process

Booking was reduced to a four-step digital flow with clear service options and upfront pricing, replacing calls and messages

008

Trust and accountability

Booking a home cleaning means giving someone access to a private space. The product therefore needed to show that cleaners were verified professionals and make the service feel less anonymous

Cleaner verification and persistent order records give the support team a clear basis for handling disputes

009

Reducing last-minute cancellations

To reduce last-minute cancellations from both cleaners and customers, a cancellation fee system was introduced for both sides of the service

The hypothesis was that cancellation fees would discourage last-minute cancellations and no-shows. If a cleaner cancels, the order returns to the open-order pool and is prioritised for cleaners whose availability matches the booking. Once a replacement accepts it, the new cleaner appears in the customer’s existing booking

010

Digitising the cleaner workflow

The cleaner app replaces manual coordination with a digital workflow for planning availability, reviewing available cleanings and managing cleanings from acceptance to completion

011

Earnings transparency

The financial flow shows the cleaner’s earnings for each order and how the final payout is calculated

#Web

#Creative

#Mobile

#Brand

#Product

#UX

#UI

012

Outcome

The research findings were translated into a complete product design covering the customer and cleaner apps. The final deliverables also included naming, a logo and a reusable design system. The product entered development but was discontinued before launch, which is sad