The definitive guide to commercial insurance renewal
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Improving data quality
Studies have shown that one of the most effective ways to reduce data inaccuracies is through good
questionnaire design.
Here's a list of five best practices and recommendations you'll want to consider when preparing your questionnaire:
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• Set up a logical flow
As well as stating upfront the objectives and value of completing the questionnaire, start with easier questions first, eg
address information, before continuing with more specific questions, eg building cladding and roof geometry.
Most modern RMIS systems will also enable questionnaires to dynamically adapt based on the users' answers.
• Use non-insurance terminology
Wherever possible keep questions clear, concise and specific so they are easy for users to understand and enter the
correct data and values. Most RMIS systems will support multiple languages, enabling questionnaires to be created in
the local language for your business units.
• Ask closed-ended questions
By giving users specific choices, ie yes or no, you will help improve data accuracy and make it easier to analyse the
renewal data.
• Add context help and tool tips
This will help prime users, highlight the reason you've asked the question and show the format and type of data
you're looking for in the response.
• Test your questionnaire
Once the questionnaire has been produced, ensure everything works correctly and test it with a few of the people
who will be completing it. This will enable you to adjust questions that have been misinterpreted and fix any errors.
Studies have shown
that one of the most
effective ways to reduce
data inaccuracies
is through good
questionnaire design.
