Customer Validation
The process of testing product ideas and assumptions with real customers to ensure they meet market needs. Essential for reducing risk and ensuring product-market fit.
The process of testing product ideas and assumptions with real customers to ensure they meet market needs. Essential for reducing risk and ensuring product-market fit.
A design process model that outlines four phases: Discover, Define, Develop, and Deliver, promoting both divergent and convergent thinking. Crucial for structuring the design process and fostering both creativity and precision.
A semi-fictional representation of an ideal customer based on market research and real data about existing customers. Essential for targeting design and marketing efforts to meet the needs and preferences of specific user groups.
Product Advisory Council (PAC) is a group of customers, industry experts, and stakeholders who provide feedback and guidance on a company's product strategy and development. Essential for aligning products with market needs and driving innovation.
A Japanese word meaning any activity in a process that consumes resources without adding value. Crucial for identifying and eliminating inefficiencies to optimize workflows and resources.
Numeronym for the word "Interoperability" (I + 14 letters + Y), the ability of different systems, devices, or applications to work together and exchange information effectively without compatibility issues. Crucial for ensuring compatibility and integration between systems.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas. Important for understanding the potential future impacts and ethical considerations of AI development.
The process of anticipating future developments to ensure that a product or system remains relevant and functional over time. Essential for designing durable and adaptable products.
Representational State Transfer (REST) is an architectural style for designing networked applications based on stateless, client-server communication. Essential for building scalable and efficient web services.
A large body of work that can be broken down into smaller tasks or user stories, used in agile project management to organize work. Essential for managing and organizing large projects in agile development.
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language. Essential for developing applications like chatbots, language translation, and sentiment analysis.
The structural design of a product, defining its components, their relationships, and how they interact to fulfill the product's purpose. Important for ensuring that a product is well-organized, scalable, and maintainable.
The process of addressing surrounding environmental parameters when devising plans, programs, policies, buildings, or products. Important for creating designs that are sustainable and contextually appropriate.
A research method in which participants interact with a series of potential product concepts in quick succession, providing rapid feedback on multiple ideas. Useful for quickly gathering user feedback on various concepts and iterating based on their preferences.
The core principles that underpin agile methodologies, focusing on collaboration, flexibility, and customer satisfaction. Crucial for guiding agile practices and ensuring effective project delivery.
The extent to which a measure represents all facets of a given construct, ensuring the content covers all relevant aspects. Important for ensuring that assessments and content accurately reflect the intended subject matter.
The risk that the product will not be financially or strategically sustainable for the business, potentially leading to a lack of support or profitability. Essential for ensuring that the product aligns with business goals and can be maintained and supported long-term.
A unique capability that sets an organization apart from its competitors, providing a competitive advantage. Important for identifying and leveraging core strengths in strategic planning.
A clear, concise description of the issue(s) that need to be addressed, focusing on the specific challenge and its impact. Essential for guiding problem-solving efforts and ensuring a clear understanding of the issue at hand.
A market in which vendors offer goods and services specific to an industry, trade, profession, or other group of customers with specialized needs. Important for developing targeted digital products that cater to the unique requirements of specific industries or sectors.
The context and set of conditions surrounding a problem that needs to be solved. Essential for understanding the full scope of a problem and identifying potential solutions.
A cognitive bias where new evidence or knowledge is automatically rejected because it contradicts established norms or beliefs. Important for recognizing resistance to change and designing strategies to encourage openness to new ideas among designers.
The ability to use learned knowledge and experience, often increasing with age and accumulated learning. Important for understanding how expertise and knowledge accumulation impact design and decision-making.
A cognitive bias where individuals underestimate their own abilities and performance relative to others, believing they are worse than average. Important for understanding self-perception biases among designers and designing systems that support accurate self-assessment.
The study of social relationships, structures, and processes. Important for understanding the impact of social dynamics on user behavior and designing for social interactions.
A quick and cost-effective usability testing method where feedback is gathered from users in informal settings, often in public places. Useful for gaining rapid insights into user behavior and improving designs iteratively.
The ability to understand and deal with various business situations, making sound decisions to ensure successful outcomes. Important for designers to align their work with business goals and make informed decisions.
A visual tool that maps out opportunities and the corresponding solutions, helping teams identify and prioritize where to focus their efforts. Crucial for strategic planning and ensuring alignment between problems and solutions.
User Acceptance Testing (UAT) is the final phase of the software testing process where actual users test the software to ensure it meets their requirements. Crucial for validating that the software functions correctly in real-world scenarios before its release.
ARIA attributes that notify assistive technologies about updates to parts of the web page that can change dynamically. Important for improving the accessibility of live or frequently updated content.
A usability testing method where users interact with a system they believe to be autonomous, but which is actually operated by a human. Essential for testing concepts and interactions before full development.
The simultaneous pursuit of differentiation and low cost, creating a leap in value for both the company and its customers, often associated with Blue Ocean Strategy. Important for developing strategies that can open up new markets and create significant competitive advantages.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation. Essential for evaluating model performance and preventing overfitting in digital product analytics.
A demonstration of the new features and functionalities of a product release, typically used to showcase progress and gather feedback before the official launch. Crucial for validating product features and gathering stakeholder feedback before a full release.
The process of determining whether there is a need or demand for a product in the target market, often through testing and feedback. Crucial for ensuring that a product will meet market needs and be successful.
The process of encoding sensory input that has particular meaning or can be applied to a context, enabling deeper processing and memory retention. Important for understanding how information is processed and stored, enhancing design of educational content.
A structure or framework used to create effective prompts for AI systems, ensuring clarity and context. Important for standardizing and improving AI prompt design.
A scheduling term that indicates a delay in the project timeline that cannot be recovered. Important for identifying and addressing potential project delays, ensuring timely delivery of digital products.
A qualitative research method where a small group of people discuss a product, service, or concept to gather diverse insights and opinions. Important for gaining in-depth understanding of user perceptions and needs.
Simple Object Access Protoco (SOAPl) is a protocol for exchanging structured information in web services. Crucial for enabling communication between applications over a network.
The practice of linking one page of a website to another page on the same website, improving navigation, user experience, and SEO. Essential for enhancing website structure, user engagement, and search engine optimization.
SAFe is a framework designed to scale agile practices across large organizations by integrating agile and lean principles. It is widely used but criticized for its rigidity, bureaucratic structure, and potential to stifle true agile culture.
The degree to which a system's components may be separated and recombined, often used in the context of software or hardware design. Important for enhancing flexibility, reusability, and ease of maintenance in design.
The process of designing and refining prompts to elicit accurate and relevant responses from AI models. Crucial for optimizing the performance of AI applications.
A design approach that divides a system into smaller parts or modules that can be independently created, modified, replaced, or exchanged. Crucial for creating flexible, scalable, and maintainable systems.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes. Essential for improving the accuracy and relevance of AI responses.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses. Essential for enhancing the capability and accuracy of AI models in digital products that rely on natural language understanding.
A type of software testing that ensures that recent changes have not adversely affected existing features. Essential for maintaining software quality and reliability.
The ability to recognize, understand, and manage one's own emotions and the emotions of others. Essential for designing empathetic user experiences and effective team collaboration.
A planning method that starts with defining a desirable future and then works backwards to identify steps to achieve that future. Important for strategic planning and setting long-term goals in design and development.
The design of interactive digital products, environments, systems, and services. Crucial for creating engaging and user-friendly digital experiences.
Narrative descriptions of how users might interact with a product or system to achieve specific goals, used to inform design and development. Important for understanding user needs and ensuring the design supports their tasks and goals.
The study of computers as persuasive technologies, focusing on how they can change attitudes or behaviors. Important for designing systems that effectively influence user behavior ethically.
Lifetime Value (LTV) is a metric that estimates the total revenue a business can expect from a single customer account throughout their relationship. Crucial for informing customer acquisition strategies, retention efforts, and overall business planning by providing insights into long-term customer profitability.
Objectives and Key Results (OKR) is a goal-setting framework for defining and tracking objectives and their outcomes. Essential for aligning organizational goals, improving focus and engagement, and driving measurable results across teams and individuals.
The ability of a system to maintain its state and data across sessions, ensuring continuity and consistency in user experience. Crucial for designing reliable and user-friendly systems that retain data and settings across interactions.
Key Performance Indicators (KPIs) are quantifiable measures used to evaluate the success of an organization, employee, or project in meeting objectives for performance. Essential for tracking progress, making informed decisions, and aligning efforts with strategic goals across various business functions, including product design and development.
Tell, Don't Ask (TDA) is a design principle in software engineering that promotes encapsulation by having objects handle their own data and actions. Essential for maintaining object-oriented integrity and reducing dependencies in the code.
The process of gathering and analyzing information about competitors to inform business strategy and decision-making. Essential for understanding market positioning and developing effective competitive strategies.
Amazon Web Services (AWS) is a comprehensive cloud computing platform provided by Amazon that offers a wide range of services including computing power, storage, and databases. Crucial for enabling scalable, cost-effective, and flexible IT infrastructure solutions for businesses of all sizes.