Market research techniques encompass a diverse range of strategies from surveys to advanced analytics like A/B testing, each tailored to explore different facets of consumer behavior, market trends, and competitive dynamics. Using these technique cards provides a structured approach to identifying and leveraging opportunities, optimizing product development, and ensuring strategic alignment across all stages of the product lifecycle.

Net Promoter Score (NPS) is a widely used market research tool that measures customer loyalty and satisfaction with a single question: "On a scale of 0 to 10, how likely are you to recommend our product/service to a friend or colleague?" Responses are used to classify customers into Promoters (9-10), Passives (7-8), and Detractors (0-6).

Usability testing is a method used to evaluate a product by testing it with representative users. This type of testing allows designers and developers to observe users trying to complete tasks with the product in order to identify usability issues and improve the overall user experience.

Scalability analysis involves evaluating a system's capacity to handle increased loads and determining what changes are necessary to support growth in users, data volume, and transaction intensity without compromising performance. This analysis helps ensure that software can grow with the user base and business needs.

Ethnographic field studies involve observing and interacting with users in their natural environment to understand their behaviors, needs, and challenges. This qualitative research method is invaluable for gaining deep insights into the context in which a product will be used and the user's daily interactions with it.

Beta testing is the final round of testing before releasing a product to the general public. It involves real users testing the product in a real-world environment to uncover any bugs, issues, or usability problems that may not have been identified earlier in the testing process.

Performance testing is a type of software testing that is conducted to determine how a system performs in terms of responsiveness and stability under a particular workload. It is crucial for identifying potential bottlenecks and ensuring that software can meet performance criteria before it goes live.