Surveys are often used to measure customer satisfaction, staff satisfaction or for market research. Whilst they have been widely used the problem with the traditional approach is that by asking questions, using visible scoring or ranking systems such as good to bad, likely-unlikely, yes / no, low/high impact is that the respondent has to make a value judgement as to what good or bad actually means or where this sits on a scale in between, say 1 to 10 or 1 to 5 etc.
HPO Clearview removes these value judgements by using a completely new method. You can find out more about the differences between a survey and HPO Clearview here.
Critically the main difference between HPO Clearview and a traditional survey is that we always link the survey data to business outcomes automatically. This reduces the need for additional analysis once the survey has taken place.
HPO Clearview as a survey application
- Applicable to any existing survey activity
- Focuses on what people experience not how they feel, think or say is happening
- People are not forced into making value judgments on things they simply don’t know – what does ‘good’ mean
- People do not all see the same content as their experiences may be different dependent on their situation.
Critically, in-built intelligence gives meaning to the data. For example, 8 out of 10 people may be satisfied but it is the impact or risk of their actual experiences on business objectives that counts and is the real insight.