Tender Closed
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RFx ID : | 23426976 |
Tender Name : | General Satisfaction Survey |
Reference # : | |
Open Date : | Monday, 12 October 2020 10:00 AM (Pacific/Auckland UTC+13:00) |
Close Date : | Tuesday, 27 October 2020 12:00 PM (Pacific/Auckland UTC+13:00) |
Tender Type : | Request for Proposals (RFP) |
Tender Coverage : | Sole Agency [?] |
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Exemption Reason : | None |
Required Pre-qualifications : | None |
Contact : |
Julian Clark Julian.clark@ccc.govt.nz |
Alternate Physical Delivery Address : | |
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The purpose of this RFP is to invite Prospective Suppliers to submit their Proposals for the Christchurch City Council General Services Satisfaction Survey.
The project was tendered unsuccessfully in September 2020. The proposals received did not meet the desired outcomes and as a result, the Council is now retendering the Survey with a different methodology. The Survey will now be run as a random, representative online panel survey instead of a CATI telephone survey. Online questionnaires are able to be completed in a shorter timeframe than telephone interviews and as a result, the Survey questions are now expected to be completed via a single 20 minute questionnaire. This will allow for a reduction in the sample size to 770 completed surveys (down from 1,540).
While the methodology change is expected to bring cost savings on the previous telephone methodology, it is recognised that the change will interrupt time series data and could bring risks in relation to the representativeness of the sample. Post weighting of results to meet representation requirements is not considered a preferred means of achieving representation. The Council wishes to achieve all or most of the sample via direct surveying of individuals that meet the quota requirements rather than by weighting. However, if the Supplier is required to apply weights to the results due to non-response, a maximum weighting of not more than 5% by age, sex and ward sub-categories will be considered acceptable. Prospective Suppliers will need to demonstrate how they will minimise non-response bias to achieve a random, representative sample.
This tender has been awarded.