The Impact of Technology on Modern Fieldwork Practices
Broader changes to technology in market research are causing a digital transformation in fieldwork. Market researchers and their brand partners are seeing revolutions in qualitative fieldwork technology trends as well as quantitative fieldwork technology trends. Modern fieldwork techniques and research technology innovations make it easier than ever to capture and analyze data about your customers and how to capture value.
How Digital Innovation is Reshaping Qualitative and Quantitative Research
Modern fieldwork techniques are being revolutionized by research technology innovations. We’re seeing this in the more numbers-focused field of quantitative fieldwork technology trends, as well as in qualitative fieldwork technology trends. The latter is especially notable, as qualitative fieldwork technology trends have historically been resistant to new technologies due to their basis in words and ideas, which are harder to meaningfully feed to computers as input. Technical leaps forward such as large language models (LLMs) are leading to research technology innovations, and new paths are opening thanks to the incorporation of AI in market research, among other phenomena. As for quantitative fieldwork technology trends, advances in data collection and analysis (and especially AI in market research) are changing the game there too. This digital transformation in fieldwork means that statistical data can be gathered and analyzed on a larger scale, and the tools for doing so are more accessible.
Key Technology Trends in Qualitative Fieldwork
The digital transformation in fieldwork is perhaps the defining element of the broader changes in technology-driven market research. Here are some of the innovations in modern fieldwork techniques, with a focus on qualitative fieldwork technology trends.
Mobile Ethnography and Remote Interviews
Cell phones have been a big driver of the digital transformation in fieldwork. Mobile ethnography – that is, using mobile phones as data collection instruments in social science research – is one of the qualitative fieldwork technology trends that provides the most granular insights. This technology in market research can provide a tremendous amount of information about purchaser behaviors and tendencies, drawing on sources like location and movement data that can be purchased from brokers, as well as user-provided information such as survey responses. Likewise, interviews over the phone or video call allow for contact with participants who prefer privacy or who may be otherwise hard to reach (e.g. because of caretaker responsibilities or simply a preference to stay home). Technology-driven market research like this opens up consumer insights that brands could previously only dream of accessing.
AI-Powered Qualitative Analysis
AI in market research has a natural home in qualitative analysis, and qualitative fieldwork technology trends are increasingly oriented around this revolutionary technology. Large language models (LLMs), for example, can be used to perform discourse analysis and other examinations of the tremendous amount of speech, interview, and open-ended question data collected through modern fieldwork techniques. AI in market research makes it possible to sift through this data to find main ideas, repeated themes and relationships between ideas that brands can use to gain an edge in the market.
Online Focus Groups and Community Platforms
Research technology innovations are often downstream of broader advances in tech. Online focus groups and community platforms are prime examples. The latest video technologies are breaking down the barriers between communication among participants, with implications for modern fieldwork techniques. Technology-driven market research now often includes focus groups hosted over video call, which makes it easier to reach more participants. Likewise, text-based research conducted on platforms like Facebook groups or Reddit – where members of a community publish their posts – has become easier to manage while covering a broader sample. Research technology innovations (such as AI in market research) make it possible to read contributions from these communities and extract insights from user comments. Qualitative fieldwork technology trends like these are moving toward gathering data from more participants in more places, providing better insights to brands.
Key Technology Trends in Quantitative Fieldwork
Quantitative fieldwork technology trends are likewise moving in a direction of greater scope and automation. Let’s take a look at some of the research technology innovations that are behind this type of technology-driven market research.
Automated Online Surveys and Smart Questionnaires
Quantitative fieldwork technology trends draw on research technology innovations to take new approaches to survey and questionnaire data. Survey question sets, for example, can be tailored to specific users – both regarding the general content of the questions and the way the prompts are phrased – because AI in market research makes it possible to build sophisticated user/consumer profiles and decide how best to extract information. Technology-driven market research often involves collecting data about participants before they even open a survey, so a participant’s active responses from the instrument can be straightforwardly cross-referenced with the information they passively provided beforehand.
Real-Time Data Collection and Live Dashboards
Modern fieldwork techniques often draw on smartphones since they provide real-time data collection and can pipe data to live dashboards. Technology in market research draws on tools like smartphones or tracking cookies on the web, as well as modern fieldwork techniques bolstered by the digital transformation in fieldwork. Advanced technology in market research like this can then be used direct pivots aimed at better covering target populations or reaching research endpoints. These research technology innovations also facilitate production or marketing decisions in contexts where speed is key, such as in response to viral phenomena on social media.
Geo-Tracking and Location-Based Insights
Recording where a buyer is and how long they stay there is a key part of modern fieldwork techniques. The digital transformation in fieldwork enables data collection at the micro and macro scales. For instance, research technology innovations make it easy to track buyers as they move around a store or how long they stand in front of a certain display, in addition to seeing if they visit competitor stores and how much time they spend there.
IoT and Wearable Devices for Behavioral Data
The Internet of Things (IoT) and wearable devices (such as smart watches or health trackers) open new frontiers in quantitative fieldwork technology trends. To take the example of a smart refrigerator, research technology innovations allow researchers to know what is in a fridge and how quickly it is consumed, opening a new data stream for technology-driven market research. Modern fieldwork techniques of this kind can be applied to practically any other internet-connected device in a household. Wearable devices similarly have implications for technology-driven market research. Smart watches and fitness trackers allow for detailed collection of user health data, which can be cross-referenced with purchasing information and used as the inputs for high-level applications of technology in market research.
Integrating Technology for Mixed-Method Research
Qualitative fieldwork technology trends as well as quantitative fieldwork technology trends offer exciting possibilities for mixed-method research. For example, AI in market research makes it possible to quickly analyze interview transcripts for key points and then cross-reference that data with location pings or other quantitative information. An experienced market research firm will be able to leverage research technology innovations to create a custom mix of methods to power technology-driven market research that helps your brand thrive.
Overcoming Challenges of Technology Adoption in Fieldwork
Modern fieldwork techniques hold great promise and have already led to a digital transformation in fieldwork. That said, they are not without their challenges. Research technology innovations are often driven by private companies, whose proprietary programs or data formats may make it hard to transfer information to software or AI applications offered by other firms. Technology in market research also moves fast and businesses must dedicate considerable resources to stay up-to-date with the technology and also how to deploy it in the field.
The Future of Fieldwork: Predictions and Innovations
The digital transformation in fieldwork has been enormous, and AI in market research is still just a few years old. Technology in market research is on the precipice of big changes, so let’s take a look at what the future may bring.
Next-Generation AI and Machine Learning Applications
Modern fieldwork techniques and technology in market research more broadly are all about gathering data. Artificial intelligence and machine learning, at their core, are systems for making decisions about data, and so the next generation of these technologies stand to push the boundaries of what is possible in technology-driven market research. Research technology innovations have the potential to create new ways of collecting, harmonizing and analyzing data, with early adopters of new technology in market research and their brand partners standing to benefit the most.
Blockchain for Data Integrity and Transparency
The foundation of technology-driven market research is reliable data, and blockchain technology offers an avenue to ensure clean inputs. With research technology innovations like blockchain, organizations can record their data in a medium that is practically impervious to corruption or deletion, ensuring data integrity. Likewise, the data collected with modern fieldwork techniques can be stored in a format that is intelligible across computer systems thanks to the decentralized, non-proprietary nature of blockchain. A key feature of this same technology is also to make clear what was contributed at what time, which will also boost data transparency.
Hyper-Personalized Research Experiences
Qualitative fieldwork technology trends and quantitative fieldwork technology trends (especially when working in concert) are heading toward a technology-driven market research paradigm where each participant completes a hyper-personalized battery of research instruments. AI in market research allows for a tremendous amount of information about each person of interest to be analyzed. This means that the perfect set of survey questions, interview prompts and other data collection instruments can be assembled based on an examination of that person’s buyer profile. The result will be technology-driven market research that asks on-point questions and gets answers that matter to brands.
Partnering with ESR Research to Leverage Fieldwork Technology
ESR Research closely follows trends in technology in market research, and we are eager to learn about your needs and how to create a technology-driven market research solution for you. We have an extensive network of technology specialists who are at the forefront of research technology innovations and know how to apply modern fieldwork techniques to a wide variety of projects. ESR Research works with firms of all sizes, and we are proud of our record through the digital transformation in fieldwork. Contact us to learn more.
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