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2006•Unpublished venueRequires access

Scaling the card sort method to over 500 items

Yelena Nakhimovsky, Rudy Schusteritsch, Kerry Rodden

Open publisher page 9 citations

Abstract

In this paper we describe the method we used to redesign the information architecture of the Google AdWords Help Center. We adapted the card sorting method to accommodate over 500 items, and produced a new Help Center structure that enables users to find information faster and with fewer errors, as verified in a formal experiment. Our process can be used as a model by those faced with organizing or reorganizing a large body of information, where conducting a traditional card sort would not be practical.

About this research paper

What this paper is about

In this paper we describe the method we used to redesign the information architecture of the Google AdWords Help Center. We adapted the card sorting method to accommodate over 500 items, and produced a new Help Center structure that enables users to find information faster and with fewer errors, as verified in a formal experiment. Our process can be used as a model by those faced with organizing or reorganizing a large body of information, where conducting a traditional card sort would not be practical.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper we describe the method we used to redesign the information architecture of the Google AdWords Help Center. We adapted the card sorting method to accommodate over 500 items, and produced a new Help Center structure that enables users to find information faster and with fewer errors, as verified in a formal experiment. Our process can be used as a model by those faced with organizing or reorganizing a large body of information, where conducting a traditional card sort would not be practical.

Key concepts: Card sorting, sort, Computer science, Sorting, Process (computing), Scaling, Architecture, Center (category theory)

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