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Usage of the current TID (tom.riik.ee) has been analyzed from the technical side: number of users, number of ideas, answered ideas etc. Although these could be considered valid indicators of success we need to go deeper to understand what participants (both citizens and civil servants) expect from an application like TID and does it perform in expected way or could it be changed to perform in a way that helps to mediate involved parties with minimal effort and friction.
TID provides us with ca 900 ideas from past years that can be used to understand typical issues citizens would like to influence using a system like this. Categorizing them together with answers from state (where present) should provide us with information about present success and conflicts -- which kind of ideas have received positive answers, which have been dismissed, which could have gone to second round with change of wording etc.
Methdodology described below is based on Peeter's hypothesis, if anybody wishes to propose different approach please feel free to do so, starting with your own hypothesis.
Result of analysis should describe the scope of ideas that have higher probability of success and possible ways of improving success rate and should be used to describe usage scenarios for both software development and documenting it.
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