Mindshare
The level of awareness or popularity a product or brand has among consumers. Essential for understanding brand perception and guiding marketing and product design strategies to enhance visibility and user adoption.
The level of awareness or popularity a product or brand has among consumers. Essential for understanding brand perception and guiding marketing and product design strategies to enhance visibility and user adoption.
A metric that shows the revenue that a company can expect to receive annually from its customers for subscriptions or services. Essential for understanding business performance and growth potential.
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt. Crucial for developing advanced, intelligent products that offer enhanced user experiences and operational efficiencies.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments. Essential for making data-driven decisions and validating hypotheses with statistical evidence.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider. Essential for making advanced AI capabilities accessible to businesses.
The final interaction a customer has with a brand before making a purchase. Important for understanding which touchpoints drive conversions.
The emotional attachment an employee feels toward their organization, which influences their desire to stay. Useful for understanding employee retention and motivation in organizational design and management.
A mental shortcut where current emotions influence decisions, often bypassing logic and reasoning. Important for understanding how emotions impact user decisions, aiding in more effective design and marketing.
The effort required for users to complete a task or interaction within a system. Essential for optimizing usability and minimizing user effort.
Acquisition, Activation, Retention, Referral, and Revenue (AARRR) is a metrics framework for assessing user engagement and business performance. Important for product managers to understand customer lifecycle and optimize business growth.
The worth of something based on its ability to help achieve a desired end or goal. Useful for understanding and prioritizing design elements that contribute to user goals.
A dark pattern where the user is tricked into publicly sharing more information about themselves than they intended. Designers must avoid this deceptive practice and ensure clear, consensual data sharing to respect user privacy.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures. Critical for understanding the characteristics of data and informing appropriate analysis techniques in digital product development.