Wi-Ai Individual Bias Software

Licensed software composed of individual units which allow an End User to obtain a report describing their susceptibility to a range of the behavioural biases that influence decision making for all of us. This is achieved by the End User answering a number (typically 7 to 10) of accessible and enjoyable questions about their responses to everyday situations. The software then calculates their Profile via our algorithms, displaying a short report onscreen.

The onscreen report displays the End User’s results for each bias outcome as a short summary. There is an option to download a longer report as a PDF file.

The modules address a range of common biases.

The technology is very easily adaptable to provide reports on other behavioural biases.  WTL can customize the toolset to create bespoke solutions by adding further modules, depending on customer requirements.

Our basic toolset comprises feedback on four core biases. These are:

  • Recency Bias
  • Loss Aversion
  • Optimism Bias
  • Anchoring Bias

Other options include:

  • False Consensus Effect
  • Self-Serving Bias
  • Availability Heuristic
  • Confirmation Bias

Wi-Ai Multi Bias Software & Full Profile

Licensed software comprising a number of modules of the individual bias software, blended to provide a well-rounded Profile. The software produces not only the onscreen profiles, but also a downloadable PDF report, covering all the biases tested and including commentary on how biases affect decision-making and personalised recommendations for recognising and addressing biases.

Wi-Ai NextGen

Licensed software that takes the results of the End User’s interactions with Wi-Ai Individual Bias/Multi Bias tools and builds on them over time, as the End User returns to the tools.

Wi-Ai NextGen analyses the results of previous uses of the tool and integrates them with the End User’s up-to-date responses to the question set in the tool, reporting on apparent changes. Other enhancements include a more sophisticated Report, explaining how the various biases operate in combination with one another, plus new tools which allow the End User to self-coach on decision making.

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