• Developed by Cognitive Edge and used extensively internationally.

  • Based on principles of complexity science – making sense of complex issues as a basis for action requires shared understanding of current state as a basis for intervention.

  • SenseMaker® is customised to meet the specific needs of the organisation and the issue under consideration.

  • Enables mass collection of multiple perspectives and new insights into complex problems.

  • It is a highly inclusive and cost effective process.

SenseMaker® provides data collection and decision making tools for a new world.
  • Most other research tools are either quantitative – or qualitative.    Making sense of complex issues requires measurement and evaluation of impact.

  • The key element is the indexes, which enables the respondents to provide context about their responses. The tags and indexes represent the elements that contribute to the issue being the way it is – without pre supposing specific relationships or hypotheses.

  • Once collected and tagged, the software has a variety of ways of visually presenting the patterns contained in the data.

  • Traditional statistical analysis is also available.

Large amounts of unstructured data are used, such as experiences and responses to prompting material, news articles, blog entries, and pictures.

Participants provide their own context and meaning through tagging their responses.

SenseMaker® provides quantitative analysis and reporting, on qualitative data.

Multiple data collection methods, and multiple kinds of data can be used
  • While the cheapest way of collecting data is web capture, a range of other methods can be used including voice recording, using prompting material such as photographs and newspaper articles .

  • Where privacy is of concern, the source data does not need to be shared for the analysis to be undertaken.

Reduction in the influence of ‘Experts’

Many data capture tools are influenced by the bias of experts at the point of capture due to embedded hypothesis.

SenseMaker® ensures that invisible voices are visible, and that data is not filtered too early in the process.  The source data is directly accessible to decision makers.

Why use it ?
  • It provides a quick analysis of qualitative material and helps a program to make sense of distributed (fragmented) information from multiple sources and interactions;

  • It assists in understanding change as it emerges and making real-time adjustments (quick feedback, rapid responsiveness);

  • It supports strategies of engagement and inclusion- internal and external;

  • It can provide insights into the different perspectives, attitudes, and values of different actors around a set of pre-identified domains of interest;

  • It can be used as a means of weak-signal detection, ie; the detection of hidden and/or emergent opportunities/threats;

  • It generates evidence-based ‘hard’ and ‘soft’ data.

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