Reliable research data is essential for many research and development projects. Whether for market research, academic studies, product development, or AI training, collecting large volumes of relevant data can be challenging. clickworker supports businesses, research teams, and technology providers with scalable data collection through a global crowd.
Use clickworker to collect research data through a global crowd of qualified contributors. Depending on your research objectives, data can be gathered through surveys, local store checks, web research, or sentiment analysis across digital content sources.
This flexible approach allows organizations to obtain both primary and secondary data while maintaining control over target groups, data volume, quality requirements, and delivery formats. The result is reliable data that supports analysis, product development, and data-driven decision-making.
clickworker provides a range of research data collection methods designed to support different research goals and project types. Whether you need structured primary data from defined participant groups or secondary data gathered through research and analysis tasks, the appropriate method can be selected based on your requirements.
Typical research data collection methods include:
Collect valuable research data through surveys conducted with clickworker’s global crowd. Filter options allow you to define target groups based on relevant criteria and give selected participants
Our crowd can help analyze market sentiment by identifying what consumers think about your products, services, or brand. This can include the evaluation of social media content as well as text, audio, or video-based sources.
Gain insights directly from the point of sale (POS). Our crowd verifies product availability, promotions, pricing, and shelf placement in local stores worldwide to support market research and retail monitoring.
Research data collection can support a wide range of business, research, and technology initiatives. Depending on the project goal, different methods and workflows can be used to generate structured data for analysis, validation, and decision-making.
Typical use cases include:
Search engines and technology companies use artificial intelligence to develop new products and improve user experiences. These projects require large volumes of diverse data for training, validation, and ongoing optimization.
clickworker supports these efforts with a global crowd that can create, collect, process, and evaluate data tailored to the requirements of each application.
We provide cost-efficient training data tailored to the requirements of your AI model. Through our international crowd, customized datasets can be created at scale, including image, audio, and video data. This allows you to collect diverse training data in the required format and volume.
Our crowd evaluates search results for their relevance to specific queries, helping you improve search functions and refine ranking logic over time. The resulting data can be used to train, validate, and continuously optimize your search algorithms.
Use clickworker to collect research data efficiently and at scale. Depending on your project requirements, you can combine flexible data collection methods, international reach, and structured delivery to support a wide range of research use cases.
Research data collection projects can be configured in different ways depending on the project scope, target groups, and data requirements. To recommend the most suitable setup, clickworker first evaluates the project parameters and identifies the appropriate data collection method and workflow.
Research data collection projects can be implemented through different workflows depending on the project complexity and requirements. In many cases, clickworker designs a suitable task structure, defines validation steps, and ensures that data is collected efficiently through the global crowd.
To recommend the right data collection approach for your research project, we ask you to share a few key details when submitting your inquiry. This information helps us understand your requirements and design a suitable workflow within our Managed Services.
Typical information includes:
Providing these details allows us to assess your project scope and recommend the most suitable setup for efficient and reliable data collection.
As a university, we have conducted several surveys for various research purposes via clickworker in Self Service. This allows different members of our staff to access the university account at clickworker and receive data very quickly for their respective research projects without putting too much strain on our finances. We are very satisfied with the service and — thanks to some additional built-in attention checks in the surveys — we have always received very good and useful data.
The following case studies illustrate how research teams, companies, and technology providers use our crowd to collect and generate data for research, market analysis, and AI development projects.
Companies can collect data for market research projects through surveys, web research, sentiment analysis, social media analysis, and on-site or point-of-sale checks.
The right method depends on the research objective, the target market, and the type of information required. In practice, many projects combine several approaches to gather structured, relevant, and up-to-date data on customer behavior, market trends, and product perception.
Large datasets can be collected quickly by using crowdsourcing. A distributed workforce can complete data collection tasks simultaneously, making it possible to gather high volumes of data within a short time.
This approach is especially useful for research projects that require scale, speed, and structured results across many data points.
Pricing depends on factors such as task type, project volume, complexity, required quality assurance, and delivery format. For surveys, projects can often be set up quickly via the self-service marketplace, while more complex research programs can be handled through a managed service setup.
clickworker offers several methods for collecting research data through its global crowd, including surveys, store checks, sentiment analysis, web research, and AI training data creation. This makes it possible to gather both primary and secondary data efficiently, depending on the research objective and data requirements.
Yes. clickworker can support both primary and secondary data collection for research projects. Primary data can be gathered through methods such as surveys, store checks, or user feedback tasks, while secondary data can be collected through web research, data validation, and market monitoring.
This combination allows research teams to build comprehensive datasets that support analysis, benchmarking, and decision-making.
Yes. Target groups for research projects can be defined based on criteria such as country, language, age group, or other demographic characteristics. This allows data to be collected from participants who match the specific requirements of your research project.
clickworker ensures data quality through a combination of clear task instructions, validation steps, automated checks, and manual quality control. Depending on the project, additional measures such as attention checks in surveys or verification steps can also be implemented to help ensure accurate and reliable results.
Research data can often be collected within a short time frame thanks to clickworker's large global crowd. Multiple contributors can work on tasks simultaneously, allowing data to be gathered quickly even for larger projects.
The exact timeline depends on the project scope, complexity, and required quality checks.
Collected data can be delivered in various formats depending on your project requirements. Common options include spreadsheets, structured datasets, or API-based delivery, allowing the results to be easily integrated into your existing tools and workflows.
Yes. clickworker offers API connections and flexible service options that allow collected data to be integrated into existing tools, research environments, or analytics workflows. Depending on the project setup, results can be delivered in structured formats or via API to support automated processing and analysis.
Yes. clickworker can be used for both academic and commercial research projects. Universities, market research teams, and technology companies use the platform to collect data for a wide range of research purposes, from market and product studies to academic and AI-related research.
Yes. With a globally distributed crowd, research data can be collected across many countries and languages. This makes it possible to run international studies and gather geographically diverse datasets tailored to specific markets or regions.
