At C.C.A., our research environment provides access to advanced analytic tools supported by AI algorithms and data processing. We foster an atmosphere that challenges our assumptions and creates a safe space to open minds and cultivate innovation.
Thematic Analysis is a flexible research method that emphasises identifying, examining, and recording patterns within data. This approach can provide a rich, detailed, and complex account of the data. Themes are patterns across datasets that are important to the description of a phenomenon and are associated with a specific research question. Thematic analysis aims to identify, analyse, and report patterns (themes) to minimally describe data in rich detail.
We use narrative analysis to examine how themes are used to support or challenge views and assertions made beyond descriptive communication. Narrative analysis helps us to investigate how narrative construction techniques might differ depending on the context of a specific campaign. Narrative analysis does not attempt to predefine factors or variables. The analysis of data seeks to acknowledge the context and understand the perceptions and schemata that influence human behaviours, mainly through the meanings that the speakers assign to them.
The most common research tool used by most AI-NPL platforms. The validity and reliability of surveys are dependent on the accuracy of the questions presented and the reliable analysis of data. C.C.A. use a variety of survey formats depending on our clients specific requirements, timescale and budget.
Here, we examine different variables (or factors) and how they might impact certain situations or outcomes. For example, in a marketing campaign, we can review how the variable 'advertising revenue' impacts the variable number of sales.
Our recommended research methodologies and methods are meticulously selected and designed to meet your requirements.
Phone consultations, face-to-face participant interviews with our linguistic analysts. Tailored analysis underpins clear and concise reporting to meet your specific requirements.
Bespoke surveys are designed and coded by our experts. The generated respondent data is then analysed by our research staff. You can also access one of our template surveys as a cost-saving option with a 7-day turnaround.
A mix of qualitative and quantitative methodologies applied to the same research study. Face-to-Face interviews will inform a survey and can be used to triangulate the research study findings. Further interviews with focus groups or individuals can be carried out if needed.
We can access participants and respondents for Focus Groups, Interviews, and Surveys for most industries, products, and services. We pride ourselves in selecting the right mix of participants to ensure that our analysis and findings are accurate, meaningful, and applicable to our clients.
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At Cambridgeshire Consumer Analytics (C.C.A.), we know that effective analysis begins with understanding why people make their choices— these include our clients, competitors, consumers, and even domestic or foreign political leaders. To do this well, we must possess the skills to adopt their perspectives, shaped by unique values, cultures, and often flawed assumptions.
In this post we will discuss how our mental models, once formed, have a powerful influence on how we interpret future events. We will give an example of how we often view problems drawing from past experience and embedding old thinking into new ways of thinking that creates a cognitive trap. The purpose of this post is to make us aware of a crucial challenge we need to work around; once our minds are set, it becomes very difficult to change them, even when new evidence contradicts what we originally believed.
Following a local sewage spill, a wave of humour-driven rumours linked a business’s chocolate products to the incident. Though clearly untrue, the association quickly caught on—and sales dropped sharply.
The business responded with in-store denials and official statements, but none of it helped. In fact, the more they tried to explain, the worse things seemed to get.
The Problem of Fragmented Thinking in Analysis
Much of this stems from what psychologists’ term anchoring and confirmation bias. These are cognitive shortcuts involving judgments based on heuristics and the first available fragments of information. Academics make interpretations through the lens of existing beliefs. Experienced medical practitioners, intelligence analysts, police investigators, and high profile advertising agents interpret symptoms and evidence through biases.
In this journal entry, we explore the vital role memory plays in analytical thinking and how our higher-order cognitive functions help us navigate complex problems. Understanding memory is essential because how we register, store, and retrieve information directly affects the quality of our analysis and decision-making.
We explore why an intelligence analyst’s memory is a pivotal factor in analytic performance. Memory doesn’t just support recall, it actively shapes analytic judgment, which must strive to be right for the right reasons. We examine the difficulty of unlearning entrenched schemata. This unlearning inertia limits adaptability in fast-changing environments. It also compromises analytic accuracy.
Read this entry to find out why scientific research does not occur in a vacuum. It unfolds within a system full of incentives. These incentives can distort integrity. They include the pressure to publish, career advancement, financial rewards, and the race to be first with novel findings. Journals often lack rigorous mechanisms to verify the validity or reliability of submitted research. The burden of proof falls largely on authors. Authors are themselves human—fallible, biased, and motivated.
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