The Relocation Ecosystem
TRE Research
TRE Research turns recurring relocation questions, Dictionary signals, contributor evidence and public data into clearer industry knowledge.
From experience to useful knowledge
What we hear. What we learn. What changes.
Contributions can reveal a confusing term, a missed handoff or a practice worth testing. A published synthesis should show the perspectives, disagreements, evidence and resulting guidance changes.
- AskA specific relocation question.
- ListenExamples from different roles.
- ExamineEvidence, context and disagreement.
- PublishFindings, limits and useful changes.
The linked AI research note reviews external evidence; it is not a synthesis of responses to the language question. Participant findings will be labeled separately when supported by sufficient evidence.
Relocation produces valuable data, practical experience, and lessons about where moves encounter friction. Much of that knowledge remains inside individual companies, roles, and systems.
TRE Research is the research initiative being developed by The Relocation Ecosystem. Its purpose is to turn recurring industry questions into clearer evidence about where relocation works, where it breaks, and where shared language or better information could improve outcomes.
New to TRE? Start here → · Read TRE's Sources & Evidence standards →
Published research
Latest research note: AI in Global Mobility 2026: What the Data Actually Says → — a sourced review of ECA and EY findings on AI usage, workflow integration, data quality, and platform trust.
Current Research Question
Which relocation term causes the most confusion? →
The responses will help prioritize future Dictionary work and shape exploratory research for the Relocation Language Index. Open responses alone do not establish a representative industry baseline.
How TRE Research Works
TRE will build research progressively from four sources:
- Structured industry questions through Current Research Question.
- Dictionary questions showing where the same term creates different expectations or operating outcomes.
- Contributor evidence and case examples from people working across the relocation ecosystem.
- Primary-source and public data where reliable external evidence is available.
Research Principles
Separate evidence from opinion. TRE should make clear whether a statement is sourced fact, measured result, contributor experience, interpretation, operating practice, or editorial opinion.
Show methodology. When TRE publishes a benchmark, index, survey result, or aggregated finding, the collection method, relevant sample limitations, and material assumptions should be disclosed.
Protect context. An anecdote can reveal a real problem without proving how common that problem is. TRE will avoid presenting individual experience as industry-wide evidence unless broader data supports that conclusion.
Preserve independence. Commercial participation does not purchase a research conclusion, ranking, benchmark result, or preferred definition.
Developing Research Programs
The following are planned research directions, not published benchmarks yet:
- Relocation Language Index — where terminology is most inconsistent across customers, sales, operations, crews, RMCs, carriers, and technology.
- Move Friction Index — where handoffs, missing information, scope changes, access, timing, and service expectations create avoidable friction.
- Relocation AI Readiness — where AI and automation can improve relocation and where fragmented data, permissions, exceptions, or accountability make automation unsafe or ineffective.
- Customer Understanding Research — which documents, pricing concepts, protection choices, and service terms create the greatest customer confusion.
Contribute Evidence
If you have a dataset, case example, operating result, recurring problem, or research question that could improve the industry's understanding of relocation, visit Contribute or email contribute@relocationecosystem.com.
The objective is not more statistics. It is better evidence for better relocation decisions.
From Question to Published Findings
Question → Responses → Themes → Findings → Published synthesis → Dictionary and guidance updates → Next question.
Each completed research question should leave a permanent research note. The note will distinguish what participants reported from TRE interpretation, link the relevant Dictionary terms and practical guides, and explain which definitions or guidance changed as a result.
What a Research Note Will Show
- The question, why it matters, and who it affects.
- Collection dates, recruitment channels, response counts, stakeholder mix, exclusions, and analysis method.
- Recurring themes with supporting evidence and clearly attributed or appropriately anonymized examples.
- Limitations, competing interpretations, unanswered questions, and what the findings cannot establish.
- Links to sources, related terms, practical implications, a revision date, and the next research question.
Open participation can identify useful signals, but it does not establish how common a problem is across the industry. TRE will publish findings when sufficient evidence is available and will identify exploratory work as exploratory.
Review the Editorial & Research Standards for the approach to sourcing, disclosure, corrections, and methods. Browse the research question archive →
Read the evidence