An information needs analysis and information audit is normally carried out via surveys conducted through one or more data collection tools such as questionnaires, interviews, case studies and observations. Good surveys make efforts to measure and adjust for errors that are not controlled. The best surveys are those that check and verify each step of the research process. Common sources of error in surveys include:
Sampling (due to measuring only a subset of the population)
Coverage (due to mismatches between the population and the lists used to draw the sample)
Non-response (due to failure to measure some sampled units)
Measurement (due to mismatches between data sought and data provided)
Processing (due to editing or imputation)
Cross-validation
Resampling Methods are sets of general purpose methods for evaluating performance of data models by essentially purely data driven means. To ensure the accuracy and purity of data, Milburn Consulting employs a tri-fold approach:
Intake: Web-based, determined by submission mechanism Harvest: Human-based cross-sampling and Subject Matter Expert (SME) validation Compilation: Computer-based, analysis tools and validation protocol
The process of developing and implementing an electronic information needs survey includes a number of stages: questionnaire preparation, questionnaire distribution, data collection and processing, data analysis and evaluation.
Click for Gantt Process Chart
Whether storing and utilizing online surveys on your organization's pre-existing IT platform, or on ours, we can employ your organization's branding, logos, and feel.