Evaluative Research
Research conducted to assess the effectiveness, usability, and impact of a design or product. Essential for validating design decisions and improving user experiences.
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“risk assessment”
Product Profitability
The financial performance of a product, measured by its ability to generate revenue and profit relative to its costs and expenses. Important for assessing the financial success of a product and making informed business decisions.
Product Metrics
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue. Essential for making data-driven decisions to improve product performance and achieve business goals.
Product Critique
A structured evaluation process where a product's design, functionality, and user experience are assessed, often by peers or experts. Essential for identifying areas for improvement and fostering a culture of continuous enhancement.
Winner’s Curse
A phenomenon where the winner of an auction tends to overpay due to emotional competition, leading to a less favorable outcome than anticipated. Important for understanding decision-making biases and designing systems that mitigate overbidding risks.
Summative Testing
A type of usability testing conducted at the end of the design process to evaluate the effectiveness and overall user experience. Important for assessing the final design's usability and identifying any remaining issues.
Groupthink
A psychological phenomenon where the desire for harmony and conformity in a group results in irrational or dysfunctional decision-making. Crucial for recognizing and mitigating the risks of poor decision-making in teams.
Design Validation
The process of testing and evaluating a design to ensure it meets user needs and business goals before final implementation. Crucial for ensuring that designs are effective and meet intended objectives.
Stakeholder Analysis
The process of identifying and assessing the influence and interest of various stakeholders in a project, to prioritize engagement and communication strategies. Crucial for effectively managing stakeholder relationships and ensuring project success.
Cross Validation
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.
Turing Test
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human. Important for evaluating the intelligence of AI systems.
Three-Sigma Rule
A statistical rule stating that nearly all values in a normal distribution (99.7%) lie within three standard deviations (sigma) of the mean. Important for identifying outliers and understanding variability in data, aiding in quality control and performance assessment in digital product design.
ROAS
Return on Advertising Spend (ROAS) measures the revenue generated for every dollar spent on advertising. Essential for assessing the effectiveness and profitability of marketing campaigns.
CMM
Capability Maturity Model (CMM) is a framework for improving and optimizing processes within an organization. Essential for assessing and enhancing the maturity and efficiency of processes in product design and development.
5-Second Test
A usability test where users are shown a design for 5 seconds to measure recall and initial reactions. Important for designers to test how well key information and elements are conveyed quickly to users.
Negative Float
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.
GQM
Goal-Question-Metrics (GQM) is a framework for defining and interpreting software metrics by identifying goals, formulating questions to determine if the goals are met, and applying metrics to answer those questions. This framework is essential for measuring and improving software quality and performance.
Regressive Bias
A cognitive bias where individuals overestimate the likelihood of extreme events regressing to the mean. Crucial for understanding decision-making and judgment under uncertainty.
Crisis-Response Design
Designing systems and processes to effectively respond to and manage crises, ensuring resilience and quick recovery. Crucial for preparing for unexpected events and minimizing their impact.
SEO Audit
A comprehensive analysis of a website to assess its performance in search engine rankings and identify areas for improvement. Essential for diagnosing and enhancing a website's SEO performance.
Instrumental Value
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.
Scaling Fallacy
A cognitive bias where people underestimate the complexity and challenges involved in scaling systems, processes, or businesses. Important for understanding the difficulties of scaling and designing systems that address these challenges.
Product Management Audit
An evaluation process that assesses the effectiveness, efficiency, and alignment of product management practices and strategies with organizational goals. Essential for identifying areas for improvement and ensuring alignment with business objectives.
ICE Scoring Model
Impact, Confidence, and Ease of implementation (ICE) is a prioritization framework used in product management to evaluate features. Essential for making informed and strategic decisions about feature development and prioritization.
RICE Scoring Model
A prioritization framework used in product management to evaluate features based on Reach, Impact, Confidence, and Effort. Crucial for making informed decisions about which product features to prioritize and develop.
White Box Testing
A testing method that examines the internal structure, design, and coding of a software application to verify its functionality. Essential for ensuring the correctness and efficiency of the code in digital product development.
Future-Proofing
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.
User Testing
The process of evaluating a product by testing it with real users to gather feedback and identify usability issues. Essential for validating design decisions and ensuring the product meets user needs.
Behavioral Audit
A systematic evaluation of behaviors within an organization or process to identify areas for improvement and ensure alignment with goals. Crucial for understanding and improving user behaviors and organizational processes.
Loss Aversion
A cognitive bias where the pain of losing is psychologically more powerful than the pleasure of gaining. Important for designing user experiences that account for and mitigate loss aversion.
Lead Qualification
The process of evaluating and categorizing potential customers based on their likelihood to purchase. Essential for prioritizing sales efforts and improving conversion rates.
Usability
The degree to which a product or system can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction in a specified context of use. Essential for creating products that are easy to use and meet user needs effectively.
Cost-Benefit
An analysis comparing the costs and benefits of a decision or project to determine its feasibility and value. Important for making informed business and design decisions.
Feature Audit
A systematic evaluation of all features in a product to determine their usage, effectiveness, and alignment with business goals. Essential for optimizing product performance and user satisfaction.
Ostrich Effect
A cognitive bias where people avoid negative information or situations, preferring to remain uninformed or ignore problems. Important for understanding user behavior and designing systems that encourage proactive engagement.
Innovation Theatre
Activities that give the appearance of innovation but do not produce tangible results. Important for recognizing and avoiding ineffective innovation efforts.
Competitive Analysis
A strategic research process that involves evaluating competitors' products, services, and market positions to identify opportunities and threats. Essential for informing product strategy, differentiating offerings, and gaining a competitive advantage in the market.
Heuristic Evaluation
A usability inspection method where experts review a user interface against a set of heuristics to identify usability issues. Crucial for identifying usability problems early in the design process.
Requirements Gathering
The process of collecting and documenting the needs and expectations of stakeholders for a new or modified product or system. Essential for ensuring that the final product meets user needs and business objectives.
Value Risk
The risk that the product being developed will not deliver sufficient value to the users, meaning it won't meet their needs or solve their problems. Critical for ensuring the product will be desirable and valuable to the users, which is essential for its success.
Needs Assessment
A systematic process for determining and addressing needs or gaps between current conditions and desired outcomes. Important for identifying user requirements and guiding the development of digital products that meet those needs.
Feature Outcome Assessment
The process of evaluating the impact and success of a feature after its release, based on predefined metrics and user feedback. Crucial for understanding the effectiveness of features and informing future development.
KYC
Know Your Customer (KYC) is a process used by businesses to verify the identity of their clients and assess potential risks of illegal intentions for the business relationship. Essential for preventing fraud, money laundering, and terrorist financing, particularly in financial services, while also ensuring compliance with regulatory requirements and building trust with customers.
Category Size Bias
A cognitive bias where people judge the likelihood of an event based on the size of its category rather than its actual probability. Crucial for designers to understand how category size influences user perception and decision-making processes.
Competitor Analysis
The assessment of the strengths and weaknesses of current and potential competitors to identify competitive advantages and disadvantages. Essential for strategic planning and positioning within the market.
Feature Flag
A technique used in software development to enable or disable features in a production environment without deploying new code, allowing for controlled feature rollouts. Essential for managing feature releases and testing in live environments.
Compliance
Adhering to laws, regulations, and guidelines relevant to business operations and product development. Crucial for ensuring products and practices meet legal and ethical standards.
Test Marketing
A marketing strategy that involves releasing a product to a limited audience to evaluate its market performance before a full-scale launch. Important for assessing market response, identifying potential issues, and refining digital products before a wider release.
Empirical Rule
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean. Important for understanding the distribution of data and making predictions about data behavior in digital product design.
Poka-Yoke Principle
A Japanese term for "mistake-proofing," referring to any mechanism or process that helps prevent errors by design. Crucial for designing systems and processes that minimize the risk of human error.
PoC
Proof of Concept (PoC) is a demonstration, usually in the form of a prototype or pilot project, to verify that a concept or theory has practical potential. Crucial for validating ideas, demonstrating feasibility, and securing support for further development in product design and innovation processes.
PMO
A Project Management Office (PMO) is a centralized unit within an organization that oversees and standardizes project management practices. Essential for ensuring consistency, efficiency, and alignment with strategic goals across projects.
Value vs. Complexity
A prioritization framework used to assess and compare the value a feature will deliver to users against the complexity and cost of implementing it. Crucial for making informed decisions about feature prioritization and resource allocation.
Ratio Bias
A cognitive bias where people judge the likelihood of an event based on its relative size rather than absolute probability. Important for understanding user decision-making biases and designing systems that present information accurately.
Performance Metrics
Measurements used to evaluate the success of an organization, employee, or process in meeting goals. Necessary for assessing performance and driving continuous improvement.
Barriers to Entry
Obstacles that make it difficult for new competitors to enter an industry, such as high capital requirements, strong brand loyalty, or regulatory hurdles. Crucial for assessing the competitive landscape and the feasibility of entering a new market.
Backlink Profile
The collection of all the backlinks (inbound links) pointing to a website, used to assess its authority and influence in search engine rankings. Essential for understanding and improving SEO strategies.
T-Shirt Sizing
A relative estimation technique used in Agile project management to quickly assess the size and complexity of tasks by assigning them T-shirt sizes (e.g., small, medium, large). Crucial for efficient project planning and workload management.
Testing Effect
The phenomenon where taking a test on material improves long-term retention of that material more than additional study sessions. Crucial for designing educational tools and methods that enhance learning and retention.
ROI
Return on Investment (ROI) is a performance measure used to evaluate the efficiency or profitability of an investment or compare the efficiency of different investments. Crucial for assessing the financial effectiveness of business decisions, projects, or initiatives.