Visual Analysis Engine & Deliverables
We have developed a pipeline of tools that allow us to rapidly mine the results of a study. After analyzing the results in our Visual Analysis Engine, we package the results into intuitive interactive visualizations (visualizations that you can play with). The end-users of the results, the designer/researcher do not need to know any statistics, or anything about data analysis. They get rich visualizations with a few knobs and sliders that they can adjust based on their needs. Additionally, these are Deliverables to go - meaning the deliverables are self-contained files that you can email, embed into PowerPoint presentations, copy/share with colleagues as you please.
Deliverables
- WeightMap
- Dendogram
- VocabularyBrowzer
- SimilarityBrowzer
- ListMap
- CategoryMatrix (coming soon)
- OnionMap (coming soon)
- MindGraph (coming soon)
WeightMap
The WeightMap shows the results of a Divide-the-Dollar exercise. This visualization uses font size to portray the relative weightage of features. You can drill down into individual user responses to a particular feature. Additionally, you can lookup how a particular user distributed his points amongst various features. It also shows various statistical measures like mean, median, mode and standard deviation of values assigned by users to a particular feature.
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Dendrogram
Dendrograms are the mainstay for analyzing OpenSort results. They show the results of a cluster analysis of the card sort data. The result is a hierarchical model created by your users! Our dendrogram lets you adjust the number of categories you want, and recomputes the values on-the-fly.
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VocabularyBrowzer
Sorting methods generate a trove of data in the form of the labels that users give to categories at different levels. The VocabularyBrowser visualization lets you browse the labels used for each item sorted. Whether you are identifying labels for websites, or brainstorming how to describe a product, you can see both the commonly used terms, as well as the long tail of labels.
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SimilarityBrowzer
Sorting methods also provide insights into perceived similarity between all items. This information is invaluable for selecting contextual links, seeing what brands are close to other brands. The SimilaryBrowzer visualization helps identify the "related items" that were most similar to a given item.
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ListMap
ListMap visualizations use font size to portray the size or importance of items. This intuitive approach is an ideal way to visualize the results of a Divide-the-Dollar or FreeList exercise. It lets you easily easy what people consider most relevant/important, what terms crop up again and again.
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CategoryMatrix
TreeSort exercises yields a rich map of which "buckets" your customers file content, products, brands into. The CategoryMatrix visualization provides a "birds-eye view" of this data, highlighting market consensus around an issue, and highlighting items where participants failed to find consensus. The CategoryMatrix visualizes this data, allowing a decision-maker to validate a design or choose between two competing designs. Coming Soon!
OnionMap
OnionMaps show the core, middle ground, and periphery of a domain as concentric circles. This classic visualization is a natural way to showcase the results of a FreeList or a Divide-the-Dollar exercise.Coming Soon!
MindGraph
MindGraphs show the data from sorting studies as a network visualization. The items are laid out in space showing what other items are close and far away. This is an alternative (non-hierarchical) way to show sorting data. Coming Soon!
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