RESEARCH METHODOLOGY
How we turn research questions into evidence.
Our methodology describes how we approach research at the Research & Innovation Lab: the principles that guide our work, the stages we move through, the methods we draw on, how findings are evaluated and refined, and the standards we hold ourselves to.
RESEARCH PRINCIPLES
The principles that guide how we work.
Our approach is grounded in a small set of principles that shape how we frame questions, interpret evidence and decide what to investigate next. They describe intent rather than a fixed set of guarantees.
Problem-Driven Inquiry
Research begins with a clear question grounded in a real problem, technical challenge or opportunity that is worth understanding.
Evidence-Based Decisions
We aim to base conclusions on observed evidence and sound reasoning rather than assumption, and to be clear about the limits of what the evidence shows.
Systematic Experimentation
We explore ideas through structured experiments and prototypes, so that observations can be repeated, compared and questioned.
Critical Evaluation
We examine findings critically, including results that do not support our expectations, and revise our questions and methods accordingly.
RESEARCH LIFECYCLE
From research question to practical outcome.
Our work moves through a sequence of stages, from framing a question to documenting what we learn. The stages are a guide rather than a fixed pipeline, and we move back and forth between them as understanding develops.
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01
Problem Identification
Clarify the problem or opportunity and the questions that are worth investigating.
Key activities
- Define the problem statement
- Identify stakeholders and constraints
- Frame the research question
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02
Literature & Landscape Review
Review existing knowledge, prior work and the relevant technical and scientific landscape.
Key activities
- Survey academic and industry sources
- Map existing methods and tools
- Identify gaps and open questions
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03
Hypothesis & Method Design
Turn the question into testable hypotheses and a study or experiment design that fits it.
Key activities
- Formulate hypotheses
- Select appropriate methods
- Define evaluation criteria
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04
Experimentation & Prototyping
Explore approaches through prototypes, experiments and structured trials.
Key activities
- Build prototypes or study artefacts
- Run controlled experiments
- Record observations and data
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05
Evaluation & Analysis
Assess results against the defined criteria and interpret what they show.
Key activities
- Analyse and compare results
- Weigh evidence against the question
- Note positive, negative and inconclusive findings
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06
Documentation & Application
Document findings transparently and, where useful, apply them in practice.
Key activities
- Record methods and results
- Share knowledge within the team
- Apply suitable findings to further work
METHODS & EVALUATION
Methods chosen to fit the question.
Methods are selected to suit the research question and the context of the work. Depending on the problem, we draw on qualitative, quantitative, experimental or systems-based approaches, and we evaluate results against criteria agreed up front.
Literature & Evidence Review
Surveying academic and industry sources to ground a question in existing knowledge and to avoid repeating established work.
Comparative Analysis
Comparing approaches, tools and techniques under consistent conditions to understand their relative behaviour and trade-offs.
Prototyping & Feasibility Studies
Building small, focused prototypes to test whether an idea is feasible before investing in a full solution.
Controlled Experimentation
Running structured experiments with defined variables and measures so that observed effects can be examined and repeated.
Applied Testing & Evaluation
Assessing prototypes and prototypes-in-context against practical requirements and agreed criteria.
Systems & Performance Analysis
Measuring behaviour such as performance, reliability and scalability to understand how a system holds up in practice.
Evaluation criteria
- Accuracy
- Performance
- Reliability
- Usability
- Scalability
- Maintainability
FEEDBACK & ITERATION
Research that learns from its own results.
We treat research as a cycle rather than a straight line: experiment, evaluate, learn and refine, then begin again with a sharper question. As our research practice develops, we are shaping more structured experimentation and evaluation pathways around this loop.
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01
Experiment
Explore approaches through prototypes and structured trials.
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02
Evaluate
Assess results against the criteria and expectations set for the study.
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03
Learn
Interpret the findings, including results that are negative or inconclusive.
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04
Refine
Adjust the question, method or design, then begin the cycle again.
The cycle repeats as questions and methods are refined.
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Iteration is expected. Refining a question or a method is a normal part of research, not a sign that something has failed.
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Negative results are informative. We record what did not work as carefully as what did, because it shapes the next question.
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Findings inform both research and engineering. What we learn feeds the next investigation and, where appropriate, the next build.
RESEARCH INTEGRITY
Responsible research, honestly reported.
We aim to conduct research responsibly and to communicate it honestly. These principles describe the standards we hold ourselves to; they are commitments of intent rather than claims about specific results.
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Honesty & Accuracy
We report methods and findings honestly, avoid overstating results, and clearly distinguish what has been demonstrated from what is still being explored.
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Methodological Rigour
We aim to design studies that others can follow and check, documenting methods and reasoning so that results can be examined rather than taken on trust.
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Responsible Data & Privacy
We handle data responsibly, respect privacy and confidentiality, and follow applicable obligations when working with sensitive or personal information.
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Ethical Collaboration & Ownership
We seek clear agreements on authorship, ownership and intellectual property, and we respect the contributions of everyone involved in a research effort.
RESEARCH COLLABORATION
Let's explore research questions worth pursuing.
We welcome conversations with researchers, academic institutions and industry partners interested in investigating technical challenges and translating findings into practical outcomes.