Finding Your Stories
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Stories reveal what is really happening in your community or organization StoryGarden is designed to collect and analyze the stories of a community of any size and type ranging from geographic communities, to organizations and virtual communities of interest. |
Here's an example where StoryGarden can help:
The community where I live is a transportation hub, having three of the region's automotive bridges across a river. One of the bridges - the original one that was built in 1936, was recently damaged by fire and needed to be closed while repairs were undertaken. The closing of the bridge severely affected traffic through the region, increasing travel times for everyone whether they were crossing a bridge or not. During the disruption people talked to one another and on radio phone-in shows and sent letters to the editors of local media. Also, the local media provided detailed coverage. The resulting information fuelled discussion in the community bringing out many new points about who was using the bridge and why. As the transportation experts heard more about everyone's issues, it became clear to them that a new bridge in a slightly different location would reduce traffic congestion throughout the community thereby improving commute times for everyone. This story relates a typical cycle in a community:
How can StoryGarden help? The thousands of stories that were written contained much more information that could have been analysed using the traditional methods currently available. StoryGarden's unique capabilities can vastly improve the analysis the stories collected by grouping and sub-grouping stories. The system allows rapid pre-hypothesis analyses to see what people are talking about and to then refine the analysis parameters so that the issues, values and attitudes found in the stories contributed by one sub-group can be compared and contrasted with those contributed by other sub-groups. This allows, for example the presentation of a statistical statement such as: "Over 80% of respondents from Zone A were concerned about issue X whereas 20% of respondents from Zone B were concerned about Issue X". |
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