desistodesign

 
 
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I. HCD Research -  A Human-centered Design approach ensures that solutions to perceived problems and needs are not imposed on communities of users and that developments are desirable and feasible. Actions during this phase may include data mining, segmentation, in-depth user interviews, and industry/user maps.

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II. Report + Resources - This phase may end with a presentation. The report is a preliminary compilation of HCD Research and white paper resources.

 

 
 
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III. Analysis - This phase is messy, usually full of post-its, wild rants, standard business model analysis, sometimes experiments, machine learning, etc.

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IV. Define Scope - During this time we will culminate the analysis, define the problem space, and stage a plan around a specific opportunity.

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V. Design Brief - This is the principle delivery of HCD Research assets and the defined scope. It's now that you will understand your design problem. 

 
 
 

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VI. Prototyping - This phase is about iteration, testing, and data collection and selection. Getting smart on new technologies and methods with respect to emerging design problems is common during this stage.


 
 
 
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VII. Quantify - This phase begins with a synthesis of qualitative information from user testing and prototyping, alongside data from simulations, and other calculable means.

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VIII. Render Detail - All the quant findings and forward leanings will be confirmed during a final presentation. This is, namely, the last chance to give succinct input before the solution’s lifecycle is rendered.

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IX. Implement - This delivery is road map. It may be dynamic and may require new design or service contracts.

 
 
 
 

Experimental Research Methods

  1. Real-time crowd modulation with discreet devices

  2. Real time predictive behavior analysis - lowered inhibition, empathy, and embodiment to unearth intension

  3. High frequency method, or deep acting to conduct and derive archetypal experiences

  4. Passive and active sparse interview techniques. A naturalist and psycho-social approach to intelligence gathering for experimental near cognitive organizational intervention design.

  5. Scenario simulation and forecasting with genetic algorithms.