Experiment Cycle Time is an innovation metric that measures an innovation process from acceptance of an idea to its ultimate rejection after validation and testing. Innovation processes are typically designed to fail quickly, cheaply and safely. Experiment Cycle Time measures the speed of failure for those ideas that don't make it to launch. It is typically used as a secondary metric as opposed to a primary goal. Ideas that are successful are typically measured by separate metrics such as time to market or time to volume.
This is the complete list of articles we have written about innovation.
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A list of common innovation principles.
An overview of fail often innovation.
How to measure innovation including early stage, late stage and overall program metrics.
The basic types of pilot used in business, science and entertainment.
A definition of lead user with examples.
A definition of moment of truth with a few examples.
A definition of user innovation with examples.
The common types of proof of concept.
The common types of commercialisation.
The common types of innovation objectives with examples.
A list of thinking approaches and types.
A few logic terms explained.
A list of common cognitive biases explained.
A few dangers of being too abstract.
The difference between objective and subjective.
A definition of intellectual diversity with examples.
The definition of creative value with examples.
The definition of anecdotal evidence with examples.
The definition of benefit of doubt with examples.
The definition of pessimism with examples.
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