Analyse Your Data

Below are some examples of the customer satisfaction survey reports that can be generated through using the ViewPoint Research Control Suite (RCS) or the Web Survey Manager and Excel.

Customer Research Technology offer a range of solutions to clients. Clients can produce their own reports using our online tools, or alternatively we can manage the whole process for you, constructing the questionnaire, delivering the survey devices and producing the report within 5 working days of automatically uploading the data or collecting the interactive survey tools.


Standard Report 1


The survey device will initially provide the survey results in simple bar charts. This allows the client to get a quick overview within a couple of days of the last response.


Standard Report 2


Where standard satisfaction responses are requested, across a number of questions, charts similar to this can be produced.


Customer Satisfaction Scores


The example shown here is generated by adding the percentages for ‘excellent’ and ‘good’.


Comparing Sites: League Tables


These tables can be produced on a quarterly basis. League Tables could be provided for each core service related question.


Assessing Change Over Time


Historical data can be used to monitor the effectiveness of change programmes. The survey
data will not only identify problem areas but also investigate whether operational changes have the desired impact.


Assessing Variations During a Day


A simple bar chart may show that the average levels of service are satisfactory.


Segmenting Customers by Time


In addition to time lines the survey device can also produce charts, which reveal different responses depending on the time zone.


Filtering: Segmenting customers


Filtering data allows the responses of different sectors of customer to be assessed. Ultimately this is powerful information, which highlights specific needs and concerns of sectors and sub sectors of customers.


Cross Tabulations


Cross tabulations can assist in assessing different buying patterns of customers. The example shows that Superstore 1 is chosen for convenience as opposed to Superstore 2 for price and range.

For more information on our Research Control Suite software and services call: +44 (0) 2476 430 295