How do you combine and synthesize data from multiple sources to create a comprehensive job analysis?

1 Identify the sources

Identifying the sources of data relevant and reliable for your job analysis is the first step. This can involve reaching out to job incumbents for insights into tasks, challenges, expectations, and outcomes; supervisors and managers for feedback on goals, standards, and competencies; and subject matter experts for expert opinions on trends, best practices, and requirements. Documents and records such as job descriptions, manuals, policies, procedures, reports, performance reviews, surveys, and assessments can also provide valuable information.

2 Collect the data

The second step in the process is to collect data from sources using appropriate methods and tools, such as interviews, questionnaires, observations, and focus groups. Interviews can be conducted face-to-face or remotely, while questionnaires can be administered online or offline. Observations can be done in person or through video, and focus groups can be conducted in a neutral or familiar setting. All of these methods should be recorded or transcribed for analysis, scored or aggregated, documented or annotated, and summarized or synthesized for further analysis.

3 Analyze the data

The third step is to analyze the data from the sources using systematic and rigorous techniques, such as content analysis, factor analysis, and job analysis software. Content analysis is a qualitative method that involves identifying, coding, and categorizing the themes, patterns, and meanings of the data. It can be done manually or with software. Factor analysis is a quantitative method that reduces, groups, and explains the variables or dimensions of the data. It can be done with statistical software, exploratory or confirmatory, and with or without rotation. Job analysis software is a specialized software that helps you organize, manage, and report the data. It can offer features such as data entry, data validation, data integration, data visualization, and data export.

4 Synthesize the data

The final step is to synthesize the data from the sources using logical and creative methods, such as triangulation, frameworks, and narratives. Triangulation can help you compare and cross-check data from different sources, methods, or perspectives to increase the validity and reliability of the findings. Frameworks can organize and present the data in a coherent and comprehensive structure. Narratives can communicate and illustrate the data in a clear and engaging way. By following these steps and tips, you can combine and synthesize data from multiple sources to create a comprehensive job analysis that meets your needs and objectives.

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?