The question implies that the Perform Qualitative Risk Analysis process is underway. A risk data quality assessment is an example of the data analysis technique that can be used in this process. A risk data quality assessment evaluates the degree to which the data about individual project risks is accurate and reliable as a basis for qualitative risk analysis. The use of low-quality risk data may lead to a qualitative risk analysis that is of little use to the project. If data quality is unacceptable, it may be necessary to gather better data. Risk data quality may be assessed via a questionnaire measuring the project's stakeholder perceptions of various characteristics, which may include completeness, objectivity, relevance, and timeliness. A weighted average of selected data quality characteristics can then be generated to provide an overall quality score. Therefore, of the available choices, to address the stakeholder's concern, performing a risk data quality assessment is the best course of action. Note, ideally, the project manager would have to meet with the stakeholder to better understand the concerns expressed by the stakeholder before spending project resources to perform the risk data quality assessment. However, this answer choice is not provided.