Case study · Operational research

About 6 min read

Where the product stopped matching the work.

A “Turn” is the work needed to prepare a rental home for its next tenant: inspect it, organise repairs, complete the work and confirm it is ready. I spent four days studying how AMH’s live tools supported that process and where teams had to work around them.

AMH · Property maintenance operations · Field research · 2024

AMH Turn Discovery — Greensboro

RoleProduct Designer — sole researcher
Study4 days · 2 days on site
Participants2 technicians · 2 Field Managers
OutcomePrioritised research handoff for the next team

The application and the people using it

The Turn platform helped AMH teams coordinate work needed to get vacant homes ready to rent. The full process also depended on Primo for inspections, Work Orders for planning and assignment, Power BI for reporting, and phone, text and email for coordination.

Field Managers
Review and assign work, coordinate technicians and vendors, track progress, and review completed work and costs before closing the Turn.
Turn Technicians
Inspect properties, record issues and required repairs, carry out work, and capture updates and completion evidence in the field.
Vendors and supporting teams
External vendors complete assigned work. Data and training/support teams are relevant to reporting gaps and workarounds identified in the study.
Turn lifecycle overview displayed on a framed whiteboard against a dark textured wall with warm amber and cool blue lighting, showing the 10-day market-ready target, six lifecycle stages and supporting product environment.
From move-out inspection to a home ready for the next tenant: one lifecycle spanning several products and teams.
01

Follow the work from the property to the office

AMH aimed to return homes to market within 10 days of move-out inspection. That was the operational target the teams worked towards.

Within the four-day study, I spent two days on site observing two Turn Technicians in vacant properties and two Field Managers coordinating work from the back office. I traced the information, decisions and handoffs they needed to keep a Turn moving.

Field and back-office research showing a Turn Technician working in a property and a Field Manager coordinating work in the office.
Observing both environments exposed Turn beyond any single interface.
View research synthesis

Raw observations were grouped into recurring findings and candidate responses.

Research synthesis showing raw observations moving into findings and product responses.
02

What the fieldwork revealed

The findings exposed three kinds of breakdown: information missing at the point of decision, work the product did not fully account for, and context lost between systems. Each called for a different response.

Decision level

Useful information was hard to reach

A preferred visit time existed on the Work Order but was hidden behind hover during scheduling.

Recommendation: surface it at the point of action
Workflow level

The role extended beyond the model

Parts runs, lockbox work and connectivity constraints were underrepresented in the technician journey.

Recommendation: design around the fuller journey
System level

Managers reconstructed progress

Inspection detail and vendor updates did not travel consistently through the operational tools.

Recommendation: investigate the handoffs
Three-level interpretation of research findings: decision-level gaps, workflow gaps and system-level gaps.
My synthesis separated decision-level, workflow-level and system-level problems so they would not all collapse into UI recommendations.

The same user friction could call for a UI change, a workflow redesign, or broader technical and organisational investigation.

03

From field evidence to recommendations

These examples show how observations shaped the next step, from a specific interface change to questions that needed wider investigation.

Decision level

One decision required context from several tools.

A Field Manager had one operational decision, but the context needed to make it confidently could sit across Work Orders, Power BI, Primo and external communication.

Scheduling context diagram showing Work Order, Power BI, Primo and communication tools around one Field Manager scheduling decision.
One scheduling decision could require context distributed across the wider product environment.

One tangible example: the resident's preferred visit time already existed on the Work Order, but was hidden behind hover while scheduling.

Recommendation: surface the preferred day and time directly at the point of action. This gave the next design phase a specific change to explore within the broader Work Order experience.

Handoff: noted for later design.

Workflow level

The technician journey needed to account for more of the job.

Field observation exposed underrepresented parts of the role: connectivity constraints, lockbox work, parts runs, additional systems and self-performed Work Orders.

Working model, field evidence and field-informed technician model showing the journey expanding from six broad stages to nine.
Working model → field evidence → field-informed technician model.

Recommendation: use the expanded journey to investigate recurring work and task types before defining product behaviour. Explore how the tools should support work in properties with poor connectivity.

Handoff: a field-informed model for further product design, with connectivity and synchronisation identified for technical investigation.

System level

Information lost continuity between teams and tools.

The end-to-end map showed where inspection detail weakened downstream, coordination left the core products, and Field Managers had to reconstruct overall Turn state.

Annotated end-to-end Turn map showing field inspection, a downstream system break, vendor coordination outside core systems and operational reconstruction.
The end-to-end map exposed where information and coordination weakened across products and handoffs.

Recommendation: investigate how Primo inspection detail could connect to the core operational platform, how vendor activity could stay visible, and where the Field Manager workflow could be consolidated.

Handoff: the lifecycle map identified the breaks for wider product, technical and operational investigation.

The lifecycle crossed product boundaries more often than the user's task did.

04

A prioritised direction for the next team

The handoff brought together field observations, the expanded technician journey, the lifecycle map and recommendations grouped by readiness to act.

Clear next steps included surfacing preferred visit times, raising missing Power BI data with the Data team, and reviewing training around written Work Order lists. Further product design covered workflow and task requirements. Strategic investigation covered integration, vendor participation and connectivity.

Three-column prioritisation showing clear next steps, deeper product design and strategic investigation.
Clear next steps · deeper product design · strategic investigation.

Outcome

The outcome was a prioritised, evidence-backed direction ready for the next team: which problems had a clear next action, which needed design exploration, and which required wider technical or operational work. The maps connected those recommendations to the work observed in the field.

05

What the next phase needed to establish

Reach of the findings
The Greensboro study involved two Turn Technicians and two Field Managers. Similar themes in earlier Orlando research supported further investigation, but this sample alone could not establish how widespread each issue was across markets.
Implementation and impact
This case study covers the research handoff. The preferred visit-time change was carried forward for later design and was not implemented during my involvement. The outcome reported here is the research and recommendations, with implementation impact still to be established.
Recommended follow-through
Validate the priority findings in other markets, test proposed workflow changes with technicians and Field Managers, and assess integration and connectivity options with technical teams. Agree baseline measures before assessing the effect of any changes.

Following the whole Turn made it possible to show where the next team could act, and what they needed to learn first.

P. O’ShaughnessySenior Product Designer · Dublin, IrelandTurn Operations Research© 2026 · For your eyes only