Extracted from the US Consumer Product Safety Commission (CPSC), our recalls database is updated daily and displayed in an easily filtered format for easy and intuitive use by all levels of product development.

Product recalls are a common occurrence in the world of consumer products, and they can have significant impacts on the safety, reputation, and financial performance of a company. Knowing about recall data can be important for product designers for several reasons:

Safety: By understanding recall data, product designers can identify common issues and problems that have led to recalls in the past, and take steps to prevent similar issues in their own designs. This can help ensure the safety of the product and reduce the risk of injuries or accidents.

Reputation: Product recalls can damage the reputation of a company and its products, leading to negative publicity and loss of customer trust. By understanding recall data, product designers can take steps to prevent recalls and protect the company's reputation.

Financial performance: Product recalls can have significant financial impacts on a company, including the cost of recalling and replacing the product, as well as potential legal liabilities. By understanding recall data, product designers can take steps to reduce the risk of recalls and protect the financial performance of the company.

Compiled from published literature, public databases, and private sources, we offer accessible consumer injury data available for analysis and export.

Data analysis is the process of evaluating and interpreting data to gain insights and inform decision-making. It is a critical tool for businesses, organizations, and individuals, as it can provide valuable insights into trends, patterns, and relationships that can inform strategic planning, resource allocation, and problem-solving.

There are several key benefits to data analysis:

Improved decision-making: Data analysis can provide a more objective and comprehensive basis for decision-making, as it allows for the evaluation of data from multiple sources and perspectives. This can lead to more informed and effective decisions.

Increased efficiency: Data analysis can identify trends and patterns that can help optimize processes and reduce waste, leading to increased efficiency and cost savings.

Enhanced problem-solving: Data analysis can help identify root causes of problems and inform the development of targeted solutions.

Improved customer insights: Data analysis can provide insights into customer behavior, preferences, and needs, which can inform marketing and product development strategies.

Properly utilized data analysis is a powerful tool that can inform decision-making and drive improvements in a wide range of areas. By leveraging data analysis, businesses, organizations, and individuals can make more informed and effective decisions and optimize their operations.

Dimensions and durability are important factors for eliminating or limiting access to hazardous components and scenarios. Using published literature that has been digitized, our anthropometric tool allows a user to quickly find specific consumer parameters that can be used when designing.

Anthropometrics is the study of human physical dimensions and characteristics, and it is often used in the field of consumer product design to ensure that products are appropriately sized and configured for use by the intended population.

There are several ways that anthropometrics can be used in consumer product design:

Determining size and shape: Anthropometric data can be used to determine the size and shape of a product, ensuring that it is appropriately sized for the intended users. This can include data on height, weight, reach, and hand size, among other factors.

Evaluating usability: Anthropometric data can be used to evaluate the usability of a product, ensuring that it is easy and comfortable to use for the intended users. This can include data on grip strength, dexterity, and range of motion, among other factors.

Designing for accessibility: Anthropometric data can be used to design products that are accessible to users with disabilities or other special needs. This can include data on reach, grip strength, and range of motion, among other factors.

Ensuring safety: Anthropometric data can be used to ensure that a product is safe for use by the intended population, taking into account factors such as reach and visibility.

By using anthropometric data in the design process, it is possible to ensure that consumer products are appropriately sized, configured, and usable for the intended population.

Canine morphology refers to the physical characteristics of dogs, such as their size, shape, and structure. Canine capabilities refer to the behaviors and activities that dogs are capable of, including their physical abilities and limitations. When designing products for dogs, it is important to consider both canine morphology and capabilities in order to create products that are suitable for the specific needs and characteristics of dogs. This can involve analyzing factors such as the size and weight of the dog, the strength and mobility of their joints and muscles, and their natural behaviors and instincts. By taking these considerations into account, designers can create products that are comfortable, safe, and effective for dogs to use, and can help to prevent accidents and injuries.