USER RESEARCH

Professional Cleaner Research Study

Professional Cleaner Research Study

Professional Cleaner Research Study

Using field research and affinity mapping to uncover opportunities for better commercial cleaning experiences.

Using field research and affinity mapping to uncover opportunities for better commercial cleaning experiences.

Role — Lead UX Researcher

Methods — Ethnography, Direct Observation, Semi-structured interviews, affinity mapping

Duration — 2 weeks

Problem statement

Commercial cleaning equipment wasn't designed around the people using it.

Commercial cleaning equipment wasn't designed around the people using it.

Commercial cleaning equipment wasn't designed around the people using it.

Professional cleaners work in demanding environments where efficiency, physical effort, and routine maintenance directly affect productivity. This research explored how operators interact with equipment in real working conditions to uncover usability challenges and identify opportunities for more intuitive, user-centred product design.

SNAPSHOTS OF ENTHOGRPAHY RESEARCH

Research methods

A mixed qualitative approach to capture work as it happened.

A mixed qualitative approach to capture work as it happened.

A mixed qualitative approach to capture work as it happened.

Four methods, one research narrative

Contextual observation

Shadowed teams during live work to understand interruptions, coordination loops, and informal workarounds.

8 sessions

Contextual observation

Shadowed teams during live work to understand interruptions, coordination loops, and informal workarounds.

8 sessions

Interviews

Spoke with operators, coordinators, and managers to compare what people said against what they actually did.

14 participants

Interviews

Spoke with operators, coordinators, and managers to compare what people said against what they actually did.

14 participants

Workflow mapping

Mapped decision points, handoffs, and dependencies across the current service journey.

5 workflows

Workflow mapping

Mapped decision points, handoffs, and dependencies across the current service journey.

5 workflows

Affinity mapping

Clustered observations and quotes into themes that could shape product requirements.

120+ notes

Affinity mapping

Clustered observations and quotes into themes that could shape product requirements.

120+ notes

DATA ANALYSIS WORKFLOW

Standardising how research informs design decisions.

Standardising how research informs design decisions.

Standardising how research informs design decisions.

To improve consistency across research projects, I developed a standardised workflow that transformed raw research findings into actionable design insights, which was adopted across Numatic's research studies.

RESEARCH FINDINGS

All observations from interviews, contextual studies, and field research were captured in a single template. Evidence such as quotes, photographs, videos, notes, and behavioural observations were organised to create a consistent record of each study.

SYNTHESIS

Individual findings were grouped into recurring themes to identify behavioural patterns and generate actionable user insights. This structured process helped transform large volumes of research data into clear design opportunities.

DESIGN OUTPUT

The resulting insights were categorised into design requirements that could be communicated clearly to engineering and commercial stakeholders, ensuring research findings directly informed product development.

ETHNOGRAPHY & INTERVIEWS

Understanding real operator behaviour.

Understanding real operator behaviour.

Understanding real operator behaviour.

Ethnographic studies were conducted with professional cleaners in real working environments to capture natural behaviours and workflows with minimal intervention. Observations were analysed and translated into transcripts and key observation frames to identify recurring usability issues, workflow challenges, and design opportunities.

Workflow Adaptations

Operators improvised methods for carrying a mop alongside the machine, indicating unmet workflow needs.

Boundary Cleaning

Operators relied on a mop for edge cleaning, suggesting limitations in the machine's effectiveness for boundary areas.

User Confidence

Operators lacked confidence that brushes had been installed correctly due to limited feedback from the machine.

Semi-structured interviews were conducted with professional cleaners to understand their experiences, behaviours, motivations, and daily workflows. Interview recordings were transcribed and analysed to identify recurring themes, build empathy with users, and uncover usability issues and opportunities for improvement.

Operators relied on secondary cleaning tools

Operators routinely carried a mop alongside the floor cleaner, suggesting the machine did not fully support all cleaning scenarios.

The startup sequence lacked clarity

First-time users struggled to understand the startup sequence.

Automatic shutdown interrupted cleaning

Operators were frustrated by the machine shutting down during short interruptions to cleaning.

AFFINITY MAPPING

Translating research into impact

Translating research into impact

Translating research into impact

Findings from interviews and ethnographic observations were synthesised into recurring themes to uncover meaningful user insights. These insights were then translated into actionable design principles, ensuring research findings directly informed concept generation and design decisions throughout the project.

THREE DESIGN RECOMMENDATIONS:

THREE DESIGN RECOMMENDATIONS:

01

Complete Cleaning Coverage

The machine should eliminate the need for secondary cleaning tools during routine cleaning.

02

Clear User Feedback

Users should receive clear feedback and guidance for operation and maintenance tasks.

03

Seamless Task Resumption

Users should be able to briefly interrupt cleaning tasks and resume operation without unnecessary restart steps.

COMMERCIAL APPLICATION

Research-Informed Design Outcome

Research-Informed Design Outcome

Research-Informed Design Outcome

The design principles established through this research became a reusable framework for user-centred design. They informed new product concepts, shaped feature development within ongoing projects, and provided an evidence-based reference for evaluating design decisions.


Due to commercial confidentiality, details of the product currently in development have been omitted, but the example below demonstrates how one design principle influenced a real commercial design outcome.

EXPECTED IMPACT:

EXPECTED IMPACT:

Reduced workflow interruptions by allowing operators to resume cleaning instantly after brief pauses without repeating the startup sequence.

Lower cognitive effort by removing unnecessary restart steps, enabling operators to focus on cleaning rather than machine operation.



User IMPACT

User IMPACT

BUSINESS IMPACT

BUSINESS IMPACT

Improved operator productivity by reducing downtime caused by repetitive restart interactions during routine cleaning tasks.

Reduced operator workload by automating routine interactions, enabling greater focus on productive cleaning tasks.



EVALUATION

How Research Continued to Shape Design Decisions

How Research Continued to Shape Design Decisions

How Research Continued to Shape Design Decisions

Combining observational research with user interviews provided a deeper understanding of both operator behaviours and motivations.


Synthesising findings through affinity mapping revealed recurring themes that translated into evidence-based design principles.


Applying these principles to commercial projects demonstrated the long-term value of user research beyond a single design outcome.


Future work would focus on validating these principles with a broader user base and measuring their impact after implementation.

Combining observational research with user interviews provided a deeper understanding of both operator behaviours and motivations.


Synthesising findings through affinity mapping revealed recurring themes that translated into evidence-based design principles.


Applying these principles to commercial projects demonstrated the long-term value of user research beyond a single design outcome.


Future work would focus on validating these principles with a broader user base and measuring their impact after implementation.

Contact

Interested in working together?

I'm always happy to chat about research-led product design, UX opportunities, or simply exchange ideas about building better products. If my work resonates with you, I'd love to hear from you.

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