What are the possible reasons for fieldwork delay?
Sometimes the data collection (also known as fieldwork) of a study may be delayed, and this may ultimately lead to you missing your originally planned timeline for the study if these factors are not taken into account. In a pre-defined panel, we will usually estimate an expected average speed for getting responses so that you can plan ahead of time for when results may be available. However, sometimes fieldwork delay could happen. Below are some of the possible reasons which are most common in causing a fieldwork delay:
Before launch of experiment (preparation phase)
Clarification required regarding pre-defined panel. When using pre-defined panel for your study, Delay can happen if we require clarification on the criteria, such as when not all information is clearly provided to us.
Alpha features. If your study involves alpha-feature questions, we might need to clarify and confirm with you on such questions as the data for these questions may not be able to exported, saved, or interpreted correctly in the report.
Waiting for bug fixes. If we discovered that there is any bug within your experiment setup, we will inform you immediately and in the meantime, we will need to check with our developers on the issue. We will inform you once the bug is confirmed to be fixed and that the experiment is ready to launch.
Lead time for translation or panel host. Some panels may have a lead time for translation or a panel host.
After launch of experiment (during field/data collection phase)
Sample is harder to reach than initially expected. If the targeted sample is too niche, it will generally need more time to gather the required number of respondents for the study. When we expect a foreseeable delay, our team will notify you.
Specific quota or strict quota. If your study contains quota for a specific group of respondents, more time may be needed to manage the data collection process and to fill up the required process.
Request for customisation/quality check/amendment after launch. If you request for changes to the study after it has been launched, we will generally pause the experiment until the changes have been made and tested to confirm that data collection can continue. In some cases, you may have to relaunch the experiment if the changes are too significant that the new data is no longer comparable to those collected before the changes.