Why LadderUX?

LadderUX is a tool to help researchers with the quantitative analysis of Laddering data. It is designed to help you enter data in a simple and efficient manner, it gives you powerful tools for the data analysis, and it provides a compelling designed hierarchical value map as output. Moreover Ladderux allows to work with a team on one Laddering data project.

Laddering made easy and efficient

LadderUX allows researchers to add their data into the score matrix in an easy and efficient manner. First the core elements can be added, next ladders can be composed of these elements. Researchers can also enter a specific product or condition, associated with the ladder, as well as participants with specific properties (for example age or gender). The interface of LadderUX has been optimized for speed. Researchers can use the mouse and click, but they can also leave the hands on the keyboards and rely on shortcuts. After the data has been added into the score matrix, the analysis is only a few clicks away.

Laddering analysis made reliable

LadderUX offers powerful tools to increase the reliability and validity of Laddering studies. Firstly, LadderUX provides researchers with the necessary quantitative data at a glance. Moreover, LadderUX can automatically assess intercoder reliability. Therefore, a second coder can enter ladders as well. Ladders can be disabled and be removed from the analysis without being deleted from the actual dataset (for example negative ladders). In case it is necessary, elements can easily be updated or deleted.

LadderUX also allows to set cut-off levels to the ‘right’ level, providing immediate relevant project data information, e.g. the amount of links that are retained at a certain level, the concentration index, etc. This information helps researchers in choosing the right value. Cut-off levels can be adjusted per level as well, to allow for a more refined analysis. Moreover, researchers can immediately see the effect on the hierarchical value map. The drawing of the hierarchical value map is ‘live’.

LadderUX allows to filter the data based on different properties of participants (for example ladders of men versus women, or seniors versus children). Different analyses are possible and can be stored, for example hierarchical value maps of men versus women, or young versus old can be compared to each other and stored in one project.

Laddering results made insightful

LadderUX draws compelling hierarchical value maps. While LadderUX makes use of a clever algorithm to position the different elements, researchers can still adjust the hierarchical value maps and reposition or even remove elements if necessary. Researchers can also adjust fonts, colors and sizes and expert the hierarchical value map for inclusion in reports or presentations. In this way LadderUX enables you to present compelling results.

Laddering with a team of researchers

LadderUX allows to share your project with others and to work together on a dataset.. Different levels of sharing are possible, for example, clients can view the result of a study, while colleagues can actually add data to the project or tweak cut-off levels. This makes laddering in team easy and effective. Work together to get the most out of your research. 

Would you like to see for yourself, register and get a first free LadderUX project.

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