Menu composition scheme
Using Apple as the company of interest and augmented reality of Apple as the keyword of interest for Apple, this example provides in-depth analysis of competitors/companies using PatentPia GoldenCompass. If you click on the chain(link) marks that are attached to each item in the utilization map above, the example page will open in a new window.
Menu Placement UI/UX
All analysis result pages in GoldenCompass have a 4-depth menu scheme: large-medium-small-detailed. The large and medium menus are placed horizontally at the top, and the small and detailed menus corresponding to each medium menu are placed vertically on the right.
Principle of menu system by own(input/selected) items
Regardless of the item being entered (subject items such as company, field items such as keyword/technical field, etc.), more than 90% of the menus have a common organization.
However, depending on the item being entered, the middle or lower menu may be different. For example, if a company item named "Apple" is input, then under the "Company" main menu, you will see submenus such as "Competing companies" or "Related companies". However, if the keyword "augmented reality" is entered as an input, then under the "Companies" menu, you will see a submenu of "Key companies," "Leading companies," "Rapidly growing companies," "Specialized companies," "NPEs," etc.
1 depth commonality principle
In order to secure UI/UX unity and consistency, the main menu is composed so that there is little difference even if the kind of the own (input/selected) item is different (company, keyword, researchers, etc.).
2 depth segmentation principle
We segmented the menu as much as possible by the purpose of the analysis.
For example, for the keyword "augmented reality", if you wanted to know which companies have patents in possession in this field, you would click on the "Companies" menu. There could be a lot of companies with patents in possession for the keyword "augmented reality". Here, you can separate companies into "key companies", "leading companies", "rapidly growing companies", "specialized companies", "new companies", "universities/research institutes", "NPEs (patent monsters)", and "individuals" to easily execute a targeted analysis of companies by intent/purpose.
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For example, for report/market/trend analysis, "Key companies" and "Leading companies" would be appropriate,
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For M&A purposes, "Rapidly growing companies" and "Specialized companies" would be useful,
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For risk analysis, "NPEs (patent monsters)" will be useful,
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If you're looking for collaborators, "Universities/research institutes" or "Specialized companies" would work well.
As another example, for the keyword "augmented reality", if you want to see co-occurring keywords in the same US patent document, click on the "Technologies: keywords" menu. There can be a lot of co-occurring keywords in a US patent, such as the keyword "augmented reality". If you categorize the co-occurring keywords as "rising", "new appearing", "highly specialized", or "recommended keywords with high connectedness", you can easily execute a targeted co-occurring keywords analysis by intent/purpose.
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For example, if your purpose is to identify rapidly rising convergence/utilization/combination/adoption/adoption/adoption, "Rising" would be a good choice,
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If the purpose is to discover keywords that are newly converging/utilizing/combining/adopting/adopting, the "New" menu would be useful,
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If your purpose is to find keywords that are specialized in the "augmented reality" field compared to other fields, the "Specialized" menu will be useful,
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If you want to recommend keywords that have not been converged/utilized/combined/applied/introduced in the field of "augmented reality" so far, but are likely to be converged/utilized/combined/applied/introduced in the near future, the "Recommended keywords likely to be linked" menu will be effective.
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