Online Panel Software

Sample selection: capabilities to select samples; limit to the combinations of selection criteria; capabilities to ensure that panellists are not over-researched; sample selection tool uses predictive or heuristic statistical model to estimate the amount of sample to draw, in order to fulfil the target number of interviews; sample selection can include or take into account samples being sourced from other panels; extraction of sample for administration in other survey platforms. 6.

Data capture and data linkage: panel data can be enriched with additional data; methods for capturing and updating the participation history or survey outcome; data from the survey can be used to update the panellists response data with the survey outcome; offered support for handling bounce-backs from email invitations; methods for data exchange or interoperability with other panel or survey software platforms. 7. Analytics and active panel management: stored information in the panel database; measures of panel health to measure and track (at a macro level); dashboard interface to show the current state of the panel; examination of methods to evaluate or score the individual´s participation and engagement; measures to identify and remove problematic panel members; other comments.