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UX Design Institute - Professional Diploma Final Exam Questions & Answers Solved 100% Correct!!

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concept: Golden Thread - set of concepts/ideas that articulate UX design process; 1. UX design is a problem solving discipline 2. UX is a process 3. UX is a research-based discipline 4. Qualitative research is more insightful than quantitative 5. Flow is important to creating a pleasant experi...

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  • April 25, 2024
  • 19
  • 2023/2024
  • Exam (elaborations)
  • Questions & answers

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  • ux design institute professional diploma

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  • UX Design Institute - Professional Diploma
  • UX Design Institute - Professional Diploma

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UX Design Institute - Professional Diploma Final Exam concept: Golden Thread - set of concepts/ideas that articulate UX design process; 1. UX design is a problem solving discipline 2. UX is a process 3. UX is a research -based discipline 4. Qualitative research is more insightful than quantitative 5. Flow is important to creating a pleasant experience 6. UX is a tool for minimizing risk of wasting time/money and of building poor quality product 3 types of design that go into high quality products - - functional design - aesthetic design - experience design Why does experience matter? - Negative emotions have a multiplier effect; one negative experience can outweigh many positives 2 responsibilities of an experience designer - 1. product integrity; they represent the user AND the integrity of the product itself 2. product desirability 3 key ingredients of a successful product - 1. viability (business) - product has to make or save money for the business 2. feasibility (technology) - product has to be buildable at a viable price 3. desirability (customer) - product has to be solving a problem to make a customer want to use it questions to ask to identify desirability - 1. is there a problem? 2. is our product solving it? 3. is the experience great? What are the inputs and outputs of UX? - - Inputs: user testing, interviews, wireframes, journey maps - Outputs: money What are the business benefits of UX? - - increase revenue, customer acquisitions, conversions, customer satisfaction, customer retention, sales/sales per visitor/revenue per sale - reduce cost, customer turnover, time to market concept: UX design process - research -> define -> design -> prototype -> validate/test what are the benefits of the design process? - - vision is clear - product is visualized in high -fidelity - process has a natural structure that is easily understandable - ideas can be iterated cheaply - 3 success factors (viability, feasibility, desirability) are given equal importance examples of design pitfalls - - not carrying out customer research - designing for yourself - being technology -led rather than customer -led concept: danger of features - - features involve trade -offs --> each new feature crowds an existing one; adds too much complexity and cost (time & money) possible problems w/ software development - - focus on features vs. goals - failure to follow the design process and produce high -fidelity designs - failure to prioritize what is the importance of low -fidelity design? - - reduces ambiguity on what a product could be like - gives time and space to validate a design before building - reduces rick of spending extra money/time, creating low -quality products, and damaging the brand definition: edge cases - use cases that occur less frequently; things that few people do infrequently what are the rules for prioritizing? - NOT ALL USE CASES ARE MADE EQUAL - things that most people do most often - things that some people do somewhat often - things that few people do infrequently (edge cases) definition: context - - the social and physical environment where the product is being used concept: Paradox of Specificity - - by getting more specific about the goals/behaviors/context of target audience, the product will be more likely to be used by wider audience definition: mental model - idea of how a product works definition: design model - how a product actually works definition & example: quantitative research - - structured, numerical, measurable, objective, statistical, broad insights - larger sample size; - "hard" science - ex. multiple choice questions, analytics definition & example: qualitative research - - unstructured, not measurable, subjective, focus groups, deep insight - smaller sample size - "soft" science w/ grey areas - ex. usability tests, open -ended survey questions

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